diff --git a/CHANGELOG.md b/CHANGELOG.md index ac9533855..fe08bd2ac 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -24,6 +24,7 @@ ## Bug fixes +- Fixes the dead links in the documentation now that the repository is open-sourced ([#3](https://github.com/SGIModel/MUSE_OS/issues/3)) - Ensures that the adhoc and scipy solvers require the same input in the agents file to minimise and maximise. Specifically, both solvers now require TRUE for minimisation and FALSE for maximisation ([#845](https://github.com/SGIModel/StarMuse/issues/845)) - Update the documentation to include a tutorial for implementing trade. - Update the documentation on adding spend limit constraint description ([#941](https://github.com/SGIModel/StarMuse/issues/941)) diff --git a/docs/Makefile b/docs/Makefile index d4bb2cbb9..3449de1e0 100644 --- a/docs/Makefile +++ b/docs/Makefile @@ -4,7 +4,7 @@ # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= -SPHINXBUILD ?= sphinx-build +SPHINXBUILD ?= python -m sphinx SOURCEDIR = . BUILDDIR = _build diff --git a/docs/add-solar.ipynb b/docs/add-solar.ipynb deleted file mode 100644 index 81c953153..000000000 --- a/docs/add-solar.ipynb +++ /dev/null @@ -1,556 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Adding a new technology" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this section we will give you the information needed to customise MUSE for your own case studies and to answer questions you may have." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Input Files" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "MUSE is made up of a different number of files. However, these can be broadly split into two kinds of input:\n", - "\n", - "- Simulation settings \n", - "\n", - "- Simulation data\n", - "\n", - "Simulation settings specify how a simulation should be run. For example, which sectors to run, for how many years and what to output.\n", - "\n", - "Whereas, simulation data parametrises the technologies involved in the simulation, or the number and kinds of agents.\n", - "\n", - "To create a customised case study it is necessary to edit both of these file types.\n", - "\n", - "Simulation settings are specified in a TOML file. [TOML](https://github.com/toml-lang/toml) is a simple, extensible and intuitive file format well suited for specifying small sets of complex data.\n", - "\n", - "Simulation data is specified in [CSV](https://en.wikipedia.org/wiki/Comma-separated_values). This is a common format used for larger datasets, and is made up of columns and rows, with a comma used to differentiate between entries. \n", - "\n", - "MUSE requires at least the following files to successfully run:\n", - "\n", - "* a single [simulation settings TOML file](inputs/toml.rst) for the simulation as a whole\n", - "* a file indicating initial market price [projections](inputs/projections.rst)\n", - "* a file describing the [commodities in the simulation](inputs/commodities.rst)\n", - "* for generalized sectors:\n", - " * a file descring the [agents](inputs/agents.rst)\n", - " * a file descring the [technologies](inputs/technodata.rst)\n", - " * a file descring the [input commodities](inputs/commodities_io.rst) for each technology\n", - " * a file descring the [output commodities](inputs/commodities_io.rst) for each technology\n", - " * a file descring the [existing capacity](inputs/existing_capacity.rst) of a given\n", - " sector\n", - "* for each preset sector:\n", - " * a csv file describing consumption for the duration of the simulation\n", - " \n", - "For a full description of these files see the [input files section](inputs/index.rst). To see how to customise an example, continue on this page." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Addition of a Technology" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this section, we will add solar photovoltaics to the default model seen in the [example page](running-muse-example.ipynb). To achieve this, we must modify some of the input files shown in the above section. These files can be found in the ```StarMuse``` folder at the following location:\n", - "\n", - "`{muse_install_location}/src/muse/data/example/default`\n", - "\n", - "Change ```{muse_install_location}``` to the location where you installed MUSE. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Technodata Input " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Within the default folder there is the ```settings.toml``` file, input folder and technodata folder. To add a technology within the power sector, we must open the ```technodata``` folder followed by the ```power``` folder.\n", - "\n", - "Next, we will edit the ```CommIn.csv``` file, which specifies the commodities consumed by solar photovoltaics.\n", - "\n", - "The table below shows the original ```CommIn.csv``` version in normal text, and the added column and row in **bold**.\n", - "\n", - "|ProcessName|RegionName|Time|Level|electricity|gas|heat|CO2f|wind|**solar**|\n", - "|-----------|----------|----|-----|-----------|---|----|----|----|----|\n", - "|Unit|-|Year|-|PJ/PJ|PJ/PJ|PJ/PJ|kt/PJ|PJ/PJ|**PJ/PJ**|\n", - "|gasCCGT|R1|2020|fixed|0|1.67|0|0|0|**0**|\n", - "|windturbine|R1|2020|fixed|0|0|0|0|1|**0**|\n", - "|**solarPV**|**R1**|**2020**|**fixed**|**0**|**0**|**0**|**0**|**0**|**1**|\n", - "\n", - "We must first add a new row at the bottom of the file, to indicate the new solar photovoltaic technology:\n", - "\n", - "- we call this technology ```solarPV``` \n", - "- place it in region ```R1``` \n", - "- the data in this row is associated to the year 2020\n", - "- the input type is fixed\n", - "- solarPV consumes solar\n", - "\n", - "As the solar commodity has not been previously defined, we must define it by adding a column, which we will call solar. We then indicate that the only technology which consumes solar is solarPV.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We repeat this process for the file: ```CommOut.csv```. This file specifies the output of the technology. In our case, solar photovoltaics only output ```electricity```, unlike ```gasCCGT``` which also outputs ```CO2f```, or carbon dioxide.\n", - "\n", - "|ProcessName|RegionName|Time|Level|electricity|gas|heat|CO2f|wind|**solar**|\n", - "|-|-|-|-|-|-|-|-|-|----|\n", - "|Unit|-|Year|-|PJ/PJ|PJ/PJ|PJ/PJ|kt/PJ|PJ/PJ|**PJ/PJ**|\n", - "|gasCCGT|R1|2020|fixed|1|0|0|91.67|0|**0**|\n", - "|windturbine|R1|2020|fixed|1|0|0|0|0|**0**|\n", - "|**solarPV**|**R1**|**2020**|**fixed**|**1**|**0**|**0**|**0**|**0**|**0**|\n", - "\n", - "Similar to the the ```CommIn.csv```, we create a new row, and add in the solar commodity. We must ensure that we call our new commodity and technologies the same as the previous file for MUSE to successfully run." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The next file to modify is the ```ExistingCapacity.csv```. This file details the existing capacity of each technology, per year. For this example, we will set the existing capacity to be 0.\n", - "\n", - "|ProcessName|RegionName|Unit|2020|2025|2030|2035|2040|2045|2050|\n", - "|-|-|-|-|-|-|-|-|-|-|\n", - "|gasCCGT|R1|PJ/y|1|1|0|0|0|0|0|\n", - "|windturbine|R1|PJ/y|0|0|0|0|0|0|0|\n", - "|**solarPV**|**R1**|**PJ/y**|**0**|**0**|**0**|**0**|**0**|**0**|**0**|\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, the ```technodata.csv``` containts parametrisation data for the technology, such as the cost, growth constraints, lifetime of the power plant and fuel used. The technodata file is too long for it all to be displayed here, so we will truncate the full version." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here, we will only define the parameters: ```processName```, ```RegionName```, ```Time```, ```Level```,```cap_par```, ```Fuel```,```EndUse```,```Agent2``` and ```Agent1```\n", - "\n", - "We shall copy the existing parameters from the ```windturbine``` technology for the remaining parameters that can be seen in the ```technodata.csv``` file for brevity. You can see the full file [here INSERT LINK HERE](here)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "|ProcessName|RegionName|Time|Level|cap_par|cap_exp|…|Fuel|EndUse|Agent2|Agent1|\n", - "|-|-|-|-|-|-|-|-|-|-|-|\n", - "|Unit|-|Year|-|MUS$2010/PJ_a|-|…|-|-|Retrofit|New|\n", - "|gasCCGT|R1|2020|fixed|23.78234399|1|…|gas|electricity|1|0|\n", - "|windturbine|R1|2020|fixed|36.30771182|1|…|wind|electricity|1|0|\n", - "|**solarPV**|**R1**|**2020**|**fixed**|**30**|**1**|...|**solar**|**electricity**|**1**|**0**|" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Global inputs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, navigate to the ```input``` folder, found at ```{muse_installation_location}src/muse/data/example/default/input```.\n", - "\n", - "We now must edit each of the files found here to add the new solar commodity. Due to space constraints we will not display all of the entries contained in the input files. The editted files can be downloaded from [here INSERT LINK HERE](here) however." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ```BaseYearExport.csv``` file defines the exports in the base year. For our example we add a column to indicate that there is no export for solar. However, it is important that a column exists for the new commodity.\n", - "\n", - "|RegionName|Attribute|Time|electricity|gas|heat|CO2f|wind|**solar**|\n", - "|-|-|-|-|-|-|-|-|-|\n", - "|Unit|-|Year|PJ|PJ|PJ|kt|PJ|**PJ**|\n", - "|R1|Exports|2010|0|0|0|0|0|**0**|\n", - "|R1|Exports|2015|0|0|0|0|0|**0**|\n", - "|...|...|...|...|...|...|...|...|**...**|\n", - "|R1|Exports|2100|0|0|0|0|0|**0**|" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ```BaseYearImport.csv``` file defines the imports in the base year. Similarly to ```BaseYearExport.csv```, we add a column for solar in the ```BaseYearImport.csv``` file. Again, we indicate that solar has no imports.\n", - "\n", - "|RegionName|Attribute|Time|electricity|gas|heat|CO2f|wind|**solar**|\n", - "|-|-|-|-|-|-|-|-|-|\n", - "|Unit|-|Year|PJ|PJ|PJ|kt|PJ|**PJ**|\n", - "|R1|Imports|2010|0|0|0|0|0|**0**|\n", - "|R1|Imports|2015|0|0|0|0|0|**0**|\n", - "|...|...|...|...|...|...|...|...|**...**|\n", - "|R1|Imports|2100|0|0|0|0|0|**0**|" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ```GlobalCommodities.csv``` file is the file which defines the commodities, giving them a commodity type, CO2 emissions factor and heat rate. For this file, we will add the solar commodity, with zero CO2 emissions factor and a heat rate of 1.\n", - "\n", - "|Commodity|CommodityType|CommodityName|CommodityEmissionFactor_CO2|HeatRate|Unit|\n", - "|-|-|-|-|-|-|\n", - "|Electricity|Energy|electricity|0|1|PJ|\n", - "|Gas|Energy|gas|56.1|1|PJ|\n", - "|Heat|Energy|heat|0|1|PJ|\n", - "|Wind|Energy|wind|0|1|PJ|\n", - "|CO2fuelcomsbustion|Environmental|CO2f|0|1|kt|\n", - "|**Solar**|**Energy**|**solar**|**0**|**1**|**PJ**|" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The ```projections.csv``` file details the initial market prices for the commodities. The market clearing algorithm will update these throughout the simulation, however, an initial estimate is required to start the simulation. As solar energy is free, we will indicate this by adding a final column.\n", - "\n", - "|RegionName|Attribute|Time|electricity|gas|heat|CO2f|wind|**solar**|\n", - "|-|-|-|-|-|-|-|-|-|\n", - "|Unit|-|Year|MUS\\$2010/PJ|MUS\\$2010/PJ|MUS\\$2010/PJ|MUS\\$2010/kt|MUS\\$2010/kt|**MUS\\$2010/kt**|\n", - "|R1|CommodityPrice|2010|14.81481472|6.6759|100|0|0|**0**|\n", - "|R1|CommodityPrice|2015|17.89814806|6.914325|100|0.052913851|0|**0**|\n", - "|...|...|...|...|...|...|...|...|**...**|\n", - "|R1|CommodityPrice|2100|21.39814806|7.373485819|100|1.871299697|0|**0**|" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Running our customised simulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now we are able to run our simulation, with the new solar power technology.\n", - "\n", - "To do this, we just have to run the same run command as previously in anaconda command prompt:\n", - "\n", - "`python -m muse settings.toml`" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If the simulation has run successfully, you should now have a folder in the same location as your settings.toml file called Results. The next step is to visualise the results using the python visualisation package ```seaborn``` as well as the data analysis library ```pandas```." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "import seaborn as sns\n", - "import pandas as pd" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we will import the ```MCACapacity.csv``` file into pandas and print the first 5 lines using the ```head()``` command." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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technologyregionagenttypesectorcapacityyear
0gasboilerR1A1retrofitresidential10.02020
1gasCCGTR1A1retrofitpower1.02020
2gassupply1R1A1retrofitgas15.02020
3gasboilerR1A1retrofitresidential5.02025
4heatpumpR1A1retrofitresidential19.02025
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" - ], - "text/plain": [ - " technology region agent type sector capacity year\n", - "0 gasboiler R1 A1 retrofit residential 10.0 2020\n", - "1 gasCCGT R1 A1 retrofit power 1.0 2020\n", - "2 gassupply1 R1 A1 retrofit gas 15.0 2020\n", - "3 gasboiler R1 A1 retrofit residential 5.0 2025\n", - "4 heatpump R1 A1 retrofit residential 19.0 2025" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mca_capacity = pd.read_csv(\"/Users/alexkell/Documents/SGI/2-documentation/StarMuse/docs/Results/MCACapacity.csv\")\n", - "mca_capacity.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We will only visualise the power sector in this example, as this was the only sector we changed in this example. We, therefore, filter for this sector, and then visualise it using ```seaborn```:" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "power_capacity = mca_capacity[mca_capacity.sector==\"power\"]\n", - "sns.lineplot(data=power_capacity, x='year', y='capacity', hue=\"technology\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can now see that there is solarPV in addition to windturbine and gasCCGT, when compared to the example [here](running-muse-example.ipynb)! That's great and means it worked! \n", - "\n", - "This is due to the fact that ```solarPV``` has a lower ```cap_par``` cost of 30, compared to the ```windturbine```. Meaning that ```solarPV``` outcompetes both ```windturbine``` and ```gasCCGT``` in the electricity market." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Change Solar Price" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we will observe what happens if we increase the price of solar to be more expensive than wind. To achieve, this we have to modify the ```Technodata.csv``` file:\n", - "\n", - "|ProcessName|RegionName|Time|Level|cap_par|cap_exp|…|Fuel|EndUse|Agent2|Agent1|\n", - "|-|-|-|-|-|-|-|-|-|-|-|\n", - "|Unit|-|Year|-|MUS$2010/PJ_a|-|…|-|-|Retrofit|New|\n", - "|gasCCGT|R1|2020|fixed|23.78234399|1|…|gas|electricity|1|0|\n", - "|windturbine|R1|2020|fixed|36.30771182|1|…|wind|electricity|1|0|\n", - "|solarPV|R1|2020|fixed|**40**|1|...|solar|electricity|1|0|\n", - "\n", - "Here, we increase the ```cap_par``` variable by 10, to be a total of 40. We will now rerun the simulation, using the same command as previously and visualise the new results." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We must import the new ```MCACapacity.csv``` file again, and then visualise the results." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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Zs+cd98L79u1L3bp1qVWrFsOHD8+Z7u/vz6hRo2jatCnff//9Tcs0b96cY8eO4eXlRfPmzVmxYkXOc4sWLbrtW4AQtiwzK5MVx1fQ8ceODP/PcHzcfZjy5BTmtZsnoZ8P7GPIhtWD4dy+/F1n2UBod+9eqDVr1lC+fPmccXquXr1KQEAA69ato1q1arzyyitMnjyZd99996blRo8ejY+PD5mZmbRq1Yq9e/dSu3ZtANzd3dm8eXPO+rOtWLGCwMBAALp27crChQt58cUXOXPmDH/++SctWrTIt6YLYZQsncVvsb8RFRNFbGIs1X2q823LbwnzC0MpZXR5dkP2+B9CYGAga9euZdCgQWzatInY2FiqVKlCtWqmQ8kiIiLYuHHjbcstWbKE0NBQQkJCOHDgAAcPHsx57sUXX7xp3oEDBxIcHMy0adOYOXMmAE8//TSbN28mMTGRJUuW0LlzZ5ydna3YUiGsS2vN2v+t5YWfX2DgxoG4OLkwIXwCi59eTHjFcAn9fGYfe/z32TO3lmrVqrFz505WrVrFkCFDaN269X2XOXHiBOPGjWP79u2ULFmSHj16kJKSkvO8h8fNY4Bn9/HnVrRoUdq2bcvy5ctZtGgRX375Zf40SIgCprVmY9xGomKiOHT5EP5e/oxtPpY2/m1wUrJfai32EfwGOXPmDD4+Prz88ssUL16cKVOmEBsby7Fjx3IuuxgWFnbTMomJiXh4eODt7c358+dZvXo14eHhD/zaXbt2ZciQISQmJtKwYcN8apEQBUNrzZYzW4iKiWLvpb34FfdjdNPRtK/SHhcniSVrk3f4Iezbt4+BAwfi5OSEq6srkydP5urVq3Tp0oWMjAzq1atHnz59blomKCiIkJAQatWqxaOPPkqTJk3y9NqtW7cmIiKC1157Tb4GC5uy7ew2omKi2HVhF+U8yjGi0Qierfosrk6uRpfmMKw+LHN+KKzDMjsyef/Fg9p9YTcTd09k27ltlClahl61e9Hp8U4UcS5idGl2y8hhmYUQDmzfxX1ExUTxx5k/8HX3ZVC9QXR5ogtuznLeiVEk+IUQVnEo/hBRMVFsiNtACbcSvF/nfV584kWKuRYzujSHJ8EvhMhXR68cZVLMJNaeXItnEU/eCnmLbjW64eHqcf+FRYGQ4BdC5Iu/rv7FlJgprIldg4erB32D+tK9Znc8i3jef2FRoCT4hRAP5WTiSabsmcLKEytxc3bjtcDX6FGrB95u3kaXJu5Cgl8IkSdnrp1h6t6p/HTsJ1ydXHml5iu8GvAqPu4+Rpcm7kNOjbOS9u3bk5CQYPH8sbGxBAQEABATE8OqVavy9LrFixe/4/SPPvqItWvX5mmdQuR27vo5Pt7yMR2Wd2DF8RW8VP0lVnVaxYC6AyT0bYTs8VtJXoMbTMG/Y8cO2rdvb/EyWmvudU7GqFGj8lyPEACXki8xY98Mvj/yPVlk0alqJ3rV7kVZj7JGlyYekOzx59HYsWP55ptvAHjvvfdo2bIlAOvWrePll1/G39+fS5cuERsbS40aNejVqxe1atWidevWJCcnA7Bz506CgoJo1KgRUVFRAKSlpfHRRx+xePFigoODWbx4MSNGjGDcuHE5rx0QEEBsbGzOuvv160doaCinTp0CYMCAAYSGhtKqVSsuXrwImC7qsnTpUsA0/PPw4cMJDQ0lMDCQw4cPA6Zhpnv27Em9evUICQnhp5/k4mgCLqdcZvyO8bRb1o5FhxfR4dEO/PL8LwxrNExC30bZxR7/59s+5/Dlw/m6zuo+1RlUf9Bdn2/evDnjx4/n7bffZseOHaSmppKens7mzZtp1qxZztDKAEePHuW7775j+vTp/OMf/2DZsmW8/PLLvPrqq3z77beEhYUxcOBAAIoUKcKoUaPYsWMHEydOBGDEiBF3rePIkSPMnj2bSZMmAabwDg0NZfz48YwaNYqRI0fmrCe3UqVKsWvXLiZNmsS4ceOYMWMGo0ePpmXLlsyaNYuEhATq16/Pk08+edvAccIxXE29ytwDc1lwaAGpmal0qNKBPkF9qORVyejSxEOSPf48qlOnDjt37iQpKQk3NzcaNWrEjh072LRpE82aNbtp3uzLJ2YvFxsby9WrV0lISMgZxK179+55qqNy5co3DdLm5OSUM7Tzyy+/fNMHUG6dOnW6qR6A3377jTFjxhAcHEx4eDgpKSmcPHkyT3UJ25WUlsSkmEm0XdaW6fumE+YXxvJnl/Nps08l9O2EXezx32vP3FpcXV3x9/dn9uzZNG7cmNq1a/P7779z/Pjx28awyX1JRGdnZ5KTk9FaWzy4mouLC1lZWTmP7zWM863u9hrZNTk7O5ORkQGYfidYtmwZTzzxhEV1CftyI/0G0YeimXNgDolpibSq1Ip+wf2oVrKa0aWJfCZ7/A+hefPmjBs3jubNm9OsWTOmTJlCcHCwRYFeokQJvL29c/bIo6Ojc57z9PQkKSkp57G/vz+7du0CYNeuXZw4ceKu683Kysrpy1+4cCFNmza1uD1t2rTh22+/zfmRePfu3RYvK2yX1pqlfy6l7bK2fLP7G0LKhLD46cV81eIrCX07JcH/EJo1a8bZs2dp1KgRjzzyCO7u7rd189zL7NmzefPNN2nUqBFFixbNmd6iRQsOHjyY8+PuCy+8wOXLlwkODmby5Mk5V/i6Ew8PDw4cOECdOnX4v//7Pz766COL6xk2bBjp6enUrl2bgIAAhg0bZvGywjYlZyTz4eYPGbllJI+VeIzo9tFMbDWRmr41jS5NWJEMyyzyRN5/2/e/xP/x3vr3OHblGH2D+/JG7Tfkqld2RoZlFkLkWHdyHUM3D8XZyZnJT06mSYW8XRBI2CYJfiEcSEZWBt/s/obZ+2dTy7cWE8InUL54eaPLEgXMpoP/QY6MEfnHFroHxe0uJV9i0MZBbDu3jS7VujC4/mC5+pWDstngd3d3Jz4+Hl9fXwn/AqS1Jj4+Hnd3d6NLEQ9g94XdRK6P5GraVT5p8gkdq3Y0uiRhIJsNfj8/P+Li4nKGJBAFx93dHT8/P6PLEBbQWhN9KJrxO8ZTrng5op+M5gkfOU/D0dls8Lu6ulKlShWjyxCi0LqRfoPh/xnOmtg1hFcMZ3TT0XgV8TK6LFEI2GzwCyHu7q+rf/He7+8RmxjLO6Hv0DOgpxyqKXJI8AthZ9bErmH4H8Nxd3Fn6lNTaViu4f0XEg5Fgl8IO5Gelc6EHRNYcGgBQaWDGBc2ToZNFnckwS+EHbhw4wKRGyLZfWE3/6z+TyLrRuLq7Gp0WaKQkuAXwsZtP7edgRsGciPjBp83+5z2j1p+5TbhmCT4hbBRWmvmHJjD17u+pqJnRWa0nkHVklWNLkvYAKsFv1LKHdgIuJlfZ6nWerhSygdYDPgDscA/tNZXrFWHEPYoKS2JYX8MY93JdTxV+SlGNR5F8SLFjS5L2AhrHt+VCrTUWgcBwUBbpVRDYDCwTmv9OLDO/FgIYaGjV47SdWVX1p9aT2TdSMaHjZfQFw/EasGvTa6ZH7qa/zTQEZhrnj4XeM5aNQhhb3756xe6rerG9fTrzGwzk4haETJkiXhgVu3jV0o5AzuBqkCU1nqrUuoRrfVZAK31WaVUmbss2xvoDVCpklznUzi2tMw0vtj+BYuOLCK0TCjjwsZRulhpo8sSNsqqwa+1zgSClVIlgOVKqYAHWHYaMA1MF2KxUolCFHrnrp9jwPoB7L20l4iaEbxT5x1cneRQTZF3BXJUj9Y6QSm1HmgLnFdKlTPv7ZcDLhREDULYoi1ntjBo4yDSstIYHzae1v6tjS5J2AGr9fErpUqb9/RRShUFngQOAz8DEebZIoCfrFWDELYqS2cxbe803vj3G/i4+/Bdh+8k9EW+seYefzlgrrmf3wlYorX+RSm1BViilHoNOAl0sWINQticq6lXGbp5KOvj1tOuSjtGNBpBMddiRpcl7IjVgl9rvRcIucP0eKCVtV5XCFt2+PJh3vv9Pc5dP8eQ+kPoWr2rHLUj8p2cuStEIbH86HJGbx2Nt5s3s9vOJrhMsNElCTslwS+EwVIzU/ls62csO7qMBmUb8Hnzz/Et6mt0WcKOSfALYaDT107z/vr3ORh/kNcDX6d/cH+cnZyNLkvYOQl+IQyyKW4TgzcNRmvN1y2+pmWllkaXJByEBL8QBSwzK5Mpe6cwdc9UHi/5OF+Gf0klLzk7XRQcCX4hClBCSgKDNw3mjzN/8OxjzzK04VCKuhQ1uizhYCwKfqXUMmAWsFprnWXdkoSwT/sv7ef99e9zKfkSHzX6iM6Pd5ZDNYUhLD1zdzLwT+CoUmqMUqq6FWsSwq5orVlyZAmvrH4FgHnt5tGlWhcJfWEYi/b4tdZrgbVKKW+gK/BvpdQpYDqwQGudbsUahbBZyRnJfPLfT/j5+M80Kd+EMc3GUMK9hNFlCQdncR+/UsoXeBnoDuwGooGmmMbbCbdGcULYspOJJ3lv/XscvXKUvkF9eaP2G3KopigULO3j/wGoDswHnskeTx9YrJTaYa3ihLBVv5/8nQ83f4hSiqhWUTTza2Z0SULksHSPf4bWelXuCUopN611qta6rhXqEsImZWRlEBUTxYx9M6jpW5MJ4ROoULyC0WUJcRNLf9z95A7TtuRnIULYuvjkePr8uw8z9s3ghcdfYF67eRL6olC65x6/UqosUAEoqpQKAbIPQ/ACZJxYIcxiLsQwYMMArqZeZVTjUTz/+PNGlyTEXd2vq6cN0APwAybkmp4EfGClmoSwGVprFh5eyLjt4yjrUZYF7RdQ3UeOdhaF2z2DX2s9F9PFVF7QWi8roJqEsAlJaUl8/N+PWX1iNWF+YYxuahpSWYjC7n5dPS9rrRcA/kqp9299Xms94Q6LCWHXrqdfJ/pQNHMOzOF6+nXeDnmb1wJfw0lZ7UqmQuSr+3X1eJhvi1u7ECEKuxvpN1h8ZDGz9s8iITWBML8w3gx+kxq+NYwuTYgHcr+unqnm25EFU44QhU9qZipLjixh5r6ZxKfE06R8E/oF96N26dpGlyZEnlh6Atdc4B2tdYL5cUlgvNa6pzWLE8JIaZlp/HD0B6bvnc6F5AvUL1ufCcETCH0k1OjShHgolp7AVTs79AG01lfMh3cKYXfSs9L56dhPTNs7jbPXzxJSJoTPmn1G/XL1jS5NiHxhafA7KaVKaq2vACilfB5gWSFsQkZWBiv/WsmUPVOIuxZHYKlARjQaQaPyjWQkTWFXLA3v8cB/lFJLzY+7AKOtU5IQBStLZ7HmxBom75lMbGIsNXxqMLHlRJr7NZfAF3bJ0mGZ5ymldgItMJ2920lrfdCqlQlhZVk6i3Un1zEpZhLHEo5RtURVvgz/klaVWkngC7tmcXeN1vqAUuoi4A6glKqktT5ptcqEsBKtNetPrWfSnkkcvnwYfy9/xjYfSxv/NnIsvnAIlh7V8yym7p7ywAWgMnAIqGW90oTIX1pr/jjzB1G7o9gfv5+KnhX5tOmntKvSDhcn+clKOA5L/7V/DDQE1mqtQ5RSLTBdiUsIm7D17FYm7p5IzMUYynuUZ2TjkTzz2DO4OrkaXZoQBc7S4E/XWscrpZyUUk5a69+VUp9btTIh8sHO8zuJioli+7ntlClWhqENhtLp8U64OkvgC8dlafAnKKWKA5uAaKXUBSDDemUJ8XD2XtzLxN0T2XJ2C77uvgyuP5jO1Trj5uxmdGlCGM7S4O8IpADvAt0Ab2CUtYoSIq8Oxh8kKiaKjXEbKelWkgF1BvBi9Rcp6lLU6NKEKDQsPZzzuvmiLPWBy8CvWut4q1YmxAP488qfTIqZxLqT6/Aq4sXbIW/zzxr/xMPV4/4LC+FgLD2q53XgI+D/MB3H/61SapTWepY1ixPifv5K+ItJeybxa+yvFHctTt+gvnSv2R3PIp5GlyZEoWVpV89AICR7L18p5Qv8B5DgF4Y4mXiSyXsms+rEKtyc3egV2IuIWhFyIRQhLGBp8MdhutxitiTgVP6XI8S9nb52mql7pvLz8Z9xdXLllZqv8GrAq/i4+xhdmhA2w9LgPw1sVUr9BGhMP/Zuy74q152uxKWUqgjMA8oCWcA0rfXX5gHeFgP+QCzwj+zB34S4m3PXzzFt7zSWHwmgsywAABFASURBVF2Ok3Lipeov8Xrg65QqWsro0oSwOZYG/3HzX7afzLf36kjNAAZorXcppTyBnUqpf2O6ePs6rfUYpdRgYDAw6MHKFo7i4o2LzNg3g+///B6N5oVqL/B64OuU9ShrdGlC2CxLj+p54Ctwaa3PAmfN95OUUoeACpi+LYSbZ5sLrEeCX9wiPjme2ftns+jIIjKyMuhYtSO9a/emQvEKRpcmhM2z9Kie0sC/MI3N4549XWvd0sLl/YEQYCvwiPlDAa31WaVUmQcrWdizq6lXmb1/NgsPLyQ1M5UOVTrQJ6gPlbwqGV2aEHbD0q6eaEz98k8DfYAI4KIlC5rP+F0GvKu1TrR0uFulVG+gN0ClSvKf3t4lpiUy/+B85h+cz430G7Txb0Pf4L486v2o0aUJYXcsDX5frfVMpdQ7WusNwAal1Ib7LaSUcsUU+tFa6x/Mk88rpcqZ9/bLYRrt8zZa62nANIC6detqC+sUNuZ6+nWiD0Uz58AcktKSeLLSk/QN7ku1ktWMLk0Iu2XxIG3m27NKqQ7AGcDvXgso0679TODQLUf9/IzpG8MY8+1Pd1hc2Lkb6TdYfGQxs/bPIiE1gTC/MN4MfpMavjWMLk0Iu2dp8H+ilPIGBgDfAl6Yxu25lyZAd2CfUirGPO0DTIG/RCn1GnAS02UchYPIzMpk0ZFFTN87nfiUeJqUb0K/4H7ULl3b6NKEcBiWBn8XYLPWej/Qwnws/jhgxd0W0FpvxjS8w520eqAqhV24lHyJwRsHs/XcVuqVrceE4AmEPhJqdFlCOBxLg7+21joh+4HW+rJSKsRKNQk7tP3cdv618V8kpSUxqvEonqv6nFzXVgiDWBr8Tkqpktln2Jr3+OVadeK+snQWs/bP4tvd31LRsyJTnpzCEz5PGF2WEA7N0vAeD/xHKbUU05AN/wBGW60qYRcSUhIYsnkIm09vpo1/G0Y0GkHxIsWNLksIh2fpmbvzlFI7gJaY+u07aa0PWrUyYdP2XNxD5IZI4pPj+bDBh7z4xIvStSNEIWFxd4056CXsxT1prZl/cD5f7vySRzweYX67+dQqVcvosoQQuUg/vcg3iWmJfPTHR6w7uY4WFVvwcZOPZXx8IQohCX6RLw7GH2TA+gGcu36OyLqRvFLzFenaEaKQkuAXD0Vrzfd/fs+YbWPwcfdhdtvZBJcJNrosIcQ9SPCLPLuefp2RW0ay+sRqmlRowmdNP6Oke0mjyxJC3IcEv8iTP6/8yYD1AziZdJK3Qt7i9cDXcVJORpclhLCABL94YD8e+5HR/x2Nh6sH05+aTv1y9Y0uSQjxACT4hcWSM5L5dOun/HjsR+qVrcfY5mPlmrdC2CAJfmGRE1dPMGDDAI5eOUrv2r3pF9QPZydno8sSQuSBBL+4r9UnVjPiPyMo4lyEyU9OpmmFpkaXJIR4CBL84q7SMtMYu30si48sJrh0MF+EfUFZj7JGlyWEeEgS/OKOTiWdInJDJAfjDxJRM4J36ryDq5Or0WUJIfKBBL+4zbqT6xi2eRgo+LrF17Ss1NLokoQQ+UiCX+RIz0rnq51fMe/gPGr51mJc2Dj8PO95aWUhhA2S4BcApjF2NkSy5+IeXnriJQbWG0gR5yJGlyWEsAIJfsGmuE18sPkD0jLT+KL5F7St0tbokoQQViTB78AysjKYFDOJ6fum83jJx5kQNgF/b3+jyxJCWJkEv4O6eOMigzYNYvu57XR6vBND6g/B3cXd6LKEEAVAgt8BbTu7jX9t/BfX06/zSZNP6Fi1o9ElCSEKkAS/A8nSWUzfO51JeyZR2asy01ubuniEEI5Fgt9BXE65zAebPuCPM3/Qvkp7hjcaTjHXYkaXJYQwgAS/A9h9YTeRGyJJSElgWMNhdKnWRS6LKIQDk+C3Y1pr5h6Yy1e7vqJ88fIsaL+AGr41jC5LCGEwCX47dTX1KkP/GMr6U+t5qvJTjGw8Es8inkaXJYQoBCT47dD+S/uJ3BDJ+evnGVRvEN1qdJOuHSFEDgl+O6K1ZtGRRXyx/QtKFS3FnHZzCCodZHRZQohCRoLfTlxLu8aILSP4NfZXmvs1Z3ST0ZRwL2F0WUKIQkiC3w4cuXyEARsGEJcUx7uh7/JqwKs4KSejyxJCFFIS/DZMa83yY8v5dOuneBXxYkbrGdQtW9fosoQQhZwEv426kX6D0VtH8/Pxn2lYriFjmo3Bt6iv0WUJIWyABL8N+ivhLwZsGMDxhOP0C+pH79q9cXZyNrosIYSNsFpHsFJqllLqglJqf65pPkqpfyuljppvS1rr9e3VL3/9wksrX+JyymWmPDWFvsF9JfSFEA/Emr8AzgFuvaLHYGCd1vpxYJ35sbBAamYqI7eMZMimIdTwqcH3z3xP4/KNjS5LCGGDrNbVo7XeqJTyv2VyRyDcfH8usB4YZK0a7EVaZhrdV3Xn0OVD9AzoyVshb+HiJL10Qoi8Kej0eERrfRZAa31WKVXmbjMqpXoDvQEqVapUQOUVTkWci9DavzVvBr9JWMUwo8sRQti4QrvbqLWeBkwDqFu3rja4HMO9Hvi60SUIIexEQZ/lc14pVQ7AfHuhgF9fCCEcXkEH/89AhPl+BPBTAb++EEI4PGsezvkdsAV4QikVp5R6DRgDPKWUOgo8ZX4shBCiAFnzqJ6ud3mqlbVeUwghxP3JSF5CCOFgJPiFEMLBSPALIYSDkeAXQggHU2hP4BI2ICsTUpMgNdF0m5Joup99m3M/6ZbpSaAd/pw8ISzTYRxUapivq5Tgd1QZqXcI6FsD/OotoX1LgKddu//rKGdw9wI3r79vvcqbpgsh7s/FPf9Xme9rFNaltSlw77gnfZcAzz09e7nM1Pu/lkvRW0LbEzzL/j0td5i7eZrve+e67wWuRUEp678vQgiLSfDbipmt4eJhczdJ1n1mVreHcvEy4Fv17wB38wJ371z3cwe4ebqza4E0TQhRsCT4bYV/MygXfPseuJv3LWHuBa4e4CS/2wsh7kyC31a0GmZ0BUIIOyG7hUII4WAk+IUQwsFI8AshhIOR4BdCCAcjwS+EEA5Ggl8IIRyMBL8QQjgYCX4hhHAwEvxCCOFgJPiFEMLBSPALIYSDkeAXQggHI8EvhBAORoJfCCEcjAS/EEI4GAl+IYRwMBL8QgjhYCT4hRDCwUjwCyGEg5HgF0IIByPBL4QQDsbF6AKsKSU9k4wsbXQZ+cbNxQlXZ/msFkI8HLsO/tErDzH/v/8zuox8VayIM17urngXdcWrqAte7q54FTU/dnfBq6hrzrTs503zuuLp5oKTkzK6CUIIg9l18LcNKEsln2JGl5EvNJqU9CwSk9NJTEnnanI6ickZnEtM4c8LSVy9kU5Sagb6Hl9wlILibrk/LP6+f9cPk1yPPYo4o5R8cAhh6wwJfqVUW+BrwBmYobUeY43XaVK1FE2qlrLGqgulrCzNtbQMEpP//mBITEn/+3FKRs4HR6L5+ZOXb5inZXAtNeOe63d2Ujd9q7DkW0fuDxd3V+cCeieEEPdS4MGvlHIGooCngDhgu1LqZ631wYKuxd44OSlTyLq74lfywZfPyMwiKSX7wyLD/GGRftu3jNwfJucSU3KeT0nPuuf6i7g4metzwVm6nISwyKedAqnn75Ov6zRij78+cExr/ReAUmoR0BGQ4DeYi7MTJT2KUNKjSJ6WT83IvOe3jNwfHPpefVJCiBxFrfBN2YjgrwCcyvU4Dmhw60xKqd5Ab4BKlSoVTGXiobi5OFPa05nSnm5GlyKEuAcjjg2803f823b/tNbTtNZ1tdZ1S5cuXQBlCSGEYzAi+OOAirke+wFnDKhDCCEckhHBvx14XClVRSlVBHgJ+NmAOoQQwiEVeB+/1jpDKdUf+BXT4ZyztNYHCroOIYRwVIYcx6+1XgWsMuK1hRDC0cnAL0II4WAk+IUQwsFI8AshhINRtnAGpVLqIpDXYTZLAZfysRwjSVsKH3tpB0hbCquHaUtlrfVtJ0LZRPA/DKXUDq11XaPryA/SlsLHXtoB0pbCyhptka4eIYRwMBL8QgjhYBwh+KcZXUA+krYUPvbSDpC2FFb53ha77+MXQghxM0fY4xdCCJGLBL8QQjgYmwt+pVRFpdTvSqlDSqkDSql3zNN9lFL/VkodNd+WNE9/Sim1Uym1z3zbMte66pinH1NKfaMK+Eri+dyW9UqpI0qpGPNfmULelvq5at2jlHo+17oM2y753A6b2ia5lquklLqmlIrMNc2m/q/cpy02tV2UUv5KqeRc9U7Jta68bRettU39AeWAUPN9T+BPoCYwFhhsnj4Y+Nx8PwQob74fAJzOta5tQCNMF4dZDbSz4basB+ra0HYpBrjkWvZCrseGbZd8bodNbZNcyy0Dvgcic02zqf8r92mLTW0XwB/Yf5d15Wm7GNLwfH4Tf8J04fYjQLlcb+yRO8yrgHjAzTzP4VzPdQWm2mJbzI8N/cf8kG2pApzHNFpsodoueW2HrW4T4DngC2BEdlgWtm3yMG2xxe1yt+B/mO1ic109uSml/DHtBW8FHtFanwUw397p69sLwG6tdSqma//G5XouzjzNEA/ZlmyzzV8FhxX0V/HcLG2LUqqBUuoAsA/oo7XOoBBtl4dsRzab2SZKKQ9gEDDylsULzTaBh25LNpvZLmZVlFK7lVIblFLNzNPyvF1sNviVUsUxfY17V2udaMH8tYDPgTeyJ91hNkOObc2HtgB001oHAs3Mf92tUasFtVncFq31Vq11LaAeMEQp5U4h2S750A6wvW0yEvhSa33t1lXcYd7C/n/lbm0B29suZ4FKWusQ4H1goVLKi4fYLjYZ/EopV0xvWLTW+gfz5PNKqXLm57P7WrPn9wOWA69orY+bJ8dhut5vNkOu/ZtPbUFrfdp8mwQsBOoXTAv+9qBtyaa1PgRcx/S7heHbJZ/aYYvbpAEwVikVC7wLfKBMV8szfJtAvrXF5raL1jpVax1vvr8TOA5U4yG2i80Fv/lr2UzgkNZ6Qq6nfgYizPcjMPWboZQqAawEhmit/8ie2fxVKkkp1dC8zleylyko+dUWpZSLUqqU+b4r8DSw3/ot+Fse2lJFKeVivl8ZeAKINXq75Fc7bHGbaK2baa39tdb+wFfAp1rriUZvE8i/ttjidlFKlVZKOZvvPwo8Dvz1UNvF6B82HvQPaIrp68xeIMb81x7wBdYBR823Pub5h2LaC4vJ9VfG/FxdTBv9ODAR85nMttYWwAPYaV7PAeBrwLmQt6W7udYYYBfwXK51GbZd8qsdtrhNbll2BDf/IGpT/1fu1hZb3C6Yfs87AOwx/xt75mG3iwzZIIQQDsbmunqEEEI8HAl+IYRwMBL8QgjhYCT4hRDCwUjwCyGEg5HgF0IIByPBL0QByT4JRwijSfALcQdKqY+VeZx08+PRSqm3lVIDlVLblVJ7lVIjcz3/ozJdI+GAUqp3runXlFKjlFJbMQ2fK4ThJPiFuLOZmE+fV0o5AS9hGnL5cUxjuwQDdZRSzc3z99Ra18F0JuXbSilf83QPTEPqNtBaby7IBghxNy5GFyBEYaS1jlVKxSulQoBHgN2YRt9sbb4PUBzTB8FGTGGfffWtiubp8UAmpsG4hCg0JPiFuLsZQA+gLDALaAV8prWemnsmpVQ48CTQSGt9Qym1HsgemjlFa51ZUAULYQnp6hHi7pYDbTHt6f9q/utpHkcdpVQFZbpeqzdwxRz61YGGRhUshCVkj1+Iu9BapymlfgcSzHvtvymlagBbzBdtuga8DKwB+iil9mK6fN5/japZCEvI6JxC3IX5R91dQBet9VGj6xEiv0hXjxB3oJSqCRwD1knoC3sje/xCCOFgZI9fCCEcjAS/EEI4GAl+IYRwMBL8QgjhYCT4hRDCwfw/Il2a9JdTKa4AAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "mca_capacity = pd.read_csv(\"/Users/alexkell/Documents/SGI/2-documentation/StarMuse/docs/Results/MCACapacity.csv\")\n", - "power_capacity = mca_capacity[mca_capacity.sector==\"power\"]\n", - "sns.lineplot(data=power_capacity, x='year', y='capacity', hue=\"technology\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, we can see that the technology ```windturbine``` outcompetes ```solarPV``` and ```gasCCGT``` due to the difference in price. The possibilities for creating your own scenarios are infinite. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the next section we will add a new region to the simulation." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/docs/advanced-guide/Results/Gas/Capacity/2025.csv b/docs/advanced-guide/Results/Gas/Capacity/2025.csv index ca13127a0..b130ea351 100644 --- a/docs/advanced-guide/Results/Gas/Capacity/2025.csv +++ b/docs/advanced-guide/Results/Gas/Capacity/2025.csv @@ -1,9 +1,9 @@ asset,year,region,technology,installed,capacity 0,2025,R1,gassupply1,2020,15.00000000000 0,2030,R1,gassupply1,2020,7.50000000000 -1,2030,R1,gassupply1,2025,9.03910000000 -1,2035,R1,gassupply1,2025,7.50000000000 -1,2040,R1,gassupply1,2025,7.50000000000 -1,2045,R1,gassupply1,2025,7.50000000000 -1,2050,R1,gassupply1,2025,7.50000000000 -1,2064,R1,gassupply1,2025,9.03910000000 +1,2030,R1,gassupply1,2025,9.58580000000 +1,2035,R1,gassupply1,2025,9.58580000000 +1,2040,R1,gassupply1,2025,9.58580000000 +1,2045,R1,gassupply1,2025,9.58580000000 +1,2050,R1,gassupply1,2025,9.58580000000 +1,2064,R1,gassupply1,2025,9.58580000000 diff --git a/docs/advanced-guide/Results/Gas/Capacity/2030.csv b/docs/advanced-guide/Results/Gas/Capacity/2030.csv index ffd0431a2..3e3dd198e 100644 --- a/docs/advanced-guide/Results/Gas/Capacity/2030.csv +++ b/docs/advanced-guide/Results/Gas/Capacity/2030.csv @@ -1,15 +1,15 @@ -asset,year,region,technology,installed,capacity -0,2030,R1,gassupply1,2020,7.50000000000 -1,2030,R1,gassupply1,2025,9.03910000000 -1,2035,R1,gassupply1,2025,9.03910000000 -1,2040,R1,gassupply1,2025,9.03910000000 -1,2045,R1,gassupply1,2025,9.03910000000 -1,2050,R1,gassupply1,2025,9.03910000000 -1,2064,R1,gassupply1,2025,9.03910000000 -2,2035,R1,gassupply1,2030,11.95330000000 -2,2040,R1,gassupply1,2030,7.50000000000 -2,2045,R1,gassupply1,2030,7.50000000000 -2,2050,R1,gassupply1,2030,7.50000000000 -2,2064,R1,gassupply1,2030,7.50000000000 -2,2065,R1,gassupply1,2030,7.50000000000 -2,2069,R1,gassupply1,2030,11.95330000000 +asset,year,region,installed,technology,capacity +0,2030,R1,2020,gassupply1,7.50000000000 +1,2030,R1,2025,gassupply1,9.58580000000 +1,2035,R1,2025,gassupply1,9.58580000000 +1,2040,R1,2025,gassupply1,9.58580000000 +1,2045,R1,2025,gassupply1,9.58580000000 +1,2050,R1,2025,gassupply1,9.58580000000 +1,2064,R1,2025,gassupply1,9.58580000000 +2,2035,R1,2030,gassupply1,7.50000000000 +2,2040,R1,2030,gassupply1,7.50000000000 +2,2045,R1,2030,gassupply1,7.50000000000 +2,2050,R1,2030,gassupply1,7.50000000000 +2,2064,R1,2030,gassupply1,7.50000000000 +2,2065,R1,2030,gassupply1,7.50000000000 +2,2069,R1,2030,gassupply1,7.50000000000 diff --git a/docs/advanced-guide/Results/Gas/Capacity/2035.csv b/docs/advanced-guide/Results/Gas/Capacity/2035.csv index e189a0066..b9201d1be 100644 --- a/docs/advanced-guide/Results/Gas/Capacity/2035.csv +++ b/docs/advanced-guide/Results/Gas/Capacity/2035.csv @@ -1,13 +1,13 @@ asset,year,region,installed,technology,capacity -1,2035,R1,2025,gassupply1,9.03910000000 -1,2040,R1,2025,gassupply1,9.03910000000 -1,2045,R1,2025,gassupply1,9.03910000000 -1,2050,R1,2025,gassupply1,9.03910000000 -1,2064,R1,2025,gassupply1,9.03910000000 -2,2035,R1,2030,gassupply1,11.95330000000 -2,2040,R1,2030,gassupply1,11.95330000000 -2,2045,R1,2030,gassupply1,11.95330000000 -2,2050,R1,2030,gassupply1,11.95330000000 -2,2064,R1,2030,gassupply1,11.95330000000 -2,2065,R1,2030,gassupply1,11.95330000000 -2,2069,R1,2030,gassupply1,11.95330000000 +1,2035,R1,2025,gassupply1,9.58580000000 +1,2040,R1,2025,gassupply1,9.58580000000 +1,2045,R1,2025,gassupply1,9.58580000000 +1,2050,R1,2025,gassupply1,9.58580000000 +1,2064,R1,2025,gassupply1,9.58580000000 +2,2035,R1,2030,gassupply1,7.50000000000 +2,2040,R1,2030,gassupply1,7.50000000000 +2,2045,R1,2030,gassupply1,7.50000000000 +2,2050,R1,2030,gassupply1,7.50000000000 +2,2064,R1,2030,gassupply1,7.50000000000 +2,2065,R1,2030,gassupply1,7.50000000000 +2,2069,R1,2030,gassupply1,7.50000000000 diff --git a/docs/advanced-guide/Results/Gas/Capacity/2040.csv b/docs/advanced-guide/Results/Gas/Capacity/2040.csv index 3fc1e107b..09243467b 100644 --- a/docs/advanced-guide/Results/Gas/Capacity/2040.csv +++ b/docs/advanced-guide/Results/Gas/Capacity/2040.csv @@ -1,11 +1,11 @@ asset,year,region,installed,technology,capacity -1,2040,R1,2025,gassupply1,9.03910000000 -1,2045,R1,2025,gassupply1,9.03910000000 -1,2050,R1,2025,gassupply1,9.03910000000 -1,2064,R1,2025,gassupply1,9.03910000000 -2,2040,R1,2030,gassupply1,11.95330000000 -2,2045,R1,2030,gassupply1,11.95330000000 -2,2050,R1,2030,gassupply1,11.95330000000 -2,2064,R1,2030,gassupply1,11.95330000000 -2,2065,R1,2030,gassupply1,11.95330000000 -2,2069,R1,2030,gassupply1,11.95330000000 +1,2040,R1,2025,gassupply1,9.58580000000 +1,2045,R1,2025,gassupply1,9.58580000000 +1,2050,R1,2025,gassupply1,9.58580000000 +1,2064,R1,2025,gassupply1,9.58580000000 +2,2040,R1,2030,gassupply1,7.50000000000 +2,2045,R1,2030,gassupply1,7.50000000000 +2,2050,R1,2030,gassupply1,7.50000000000 +2,2064,R1,2030,gassupply1,7.50000000000 +2,2065,R1,2030,gassupply1,7.50000000000 +2,2069,R1,2030,gassupply1,7.50000000000 diff --git a/docs/advanced-guide/Results/Gas/Capacity/2045.csv b/docs/advanced-guide/Results/Gas/Capacity/2045.csv index 20828d347..3853c7fea 100644 --- a/docs/advanced-guide/Results/Gas/Capacity/2045.csv +++ b/docs/advanced-guide/Results/Gas/Capacity/2045.csv @@ -1,9 +1,9 @@ asset,year,region,installed,technology,capacity -1,2045,R1,2025,gassupply1,9.03910000000 -1,2050,R1,2025,gassupply1,9.03910000000 -1,2064,R1,2025,gassupply1,9.03910000000 -2,2045,R1,2030,gassupply1,11.95330000000 -2,2050,R1,2030,gassupply1,11.95330000000 -2,2064,R1,2030,gassupply1,11.95330000000 -2,2065,R1,2030,gassupply1,11.95330000000 -2,2069,R1,2030,gassupply1,11.95330000000 +1,2045,R1,2025,gassupply1,9.58580000000 +1,2050,R1,2025,gassupply1,9.58580000000 +1,2064,R1,2025,gassupply1,9.58580000000 +2,2045,R1,2030,gassupply1,7.50000000000 +2,2050,R1,2030,gassupply1,7.50000000000 +2,2064,R1,2030,gassupply1,7.50000000000 +2,2065,R1,2030,gassupply1,7.50000000000 +2,2069,R1,2030,gassupply1,7.50000000000 diff --git a/docs/advanced-guide/Results/Gas/Capacity/2050.csv b/docs/advanced-guide/Results/Gas/Capacity/2050.csv index 58602788c..853f8c511 100644 --- a/docs/advanced-guide/Results/Gas/Capacity/2050.csv +++ b/docs/advanced-guide/Results/Gas/Capacity/2050.csv @@ -1,9 +1,9 @@ asset,year,region,installed,technology,capacity -1,2050,R1,2025,gassupply1,9.03910000000 -1,2055,R1,2025,gassupply1,9.03910000000 -1,2064,R1,2025,gassupply1,9.03910000000 -2,2050,R1,2030,gassupply1,11.95330000000 -2,2055,R1,2030,gassupply1,11.95330000000 -2,2064,R1,2030,gassupply1,11.95330000000 -2,2065,R1,2030,gassupply1,11.95330000000 -2,2069,R1,2030,gassupply1,11.95330000000 +1,2050,R1,2025,gassupply1,9.58580000000 +1,2055,R1,2025,gassupply1,9.58580000000 +1,2064,R1,2025,gassupply1,9.58580000000 +2,2050,R1,2030,gassupply1,7.50000000000 +2,2055,R1,2030,gassupply1,7.50000000000 +2,2064,R1,2030,gassupply1,7.50000000000 +2,2065,R1,2030,gassupply1,7.50000000000 +2,2069,R1,2030,gassupply1,7.50000000000 diff --git a/docs/advanced-guide/Results/MCACapacity.csv b/docs/advanced-guide/Results/MCACapacity.csv index 2d31613e4..8af577d66 100644 --- a/docs/advanced-guide/Results/MCACapacity.csv +++ b/docs/advanced-guide/Results/MCACapacity.csv @@ -7,49 +7,51 @@ heatpump,R1,R1,A1,residential,retrofit,2025,19.00000000000 gasCCGT,R1,R1,A1,power,retrofit,2025,4.00000000000 windturbine,R1,R1,A1,power,retrofit,2025,10.00000000000 gassupply1,R1,R1,A1,gas,retrofit,2025,15.00000000000 -gasboiler,R1,R1,A1,residential,retrofit,2030,3.10000000000 +gasboiler,R1,R1,A1,residential,retrofit,2030,4.10000000000 heatpump,R1,R1,A1,residential,retrofit,2030,19.00000000000 -heatpump,R1,R1,A1,residential,retrofit,2030,7.90000000000 +heatpump,R1,R1,A1,residential,retrofit,2030,6.90000000000 gasCCGT,R1,R1,A1,power,retrofit,2030,3.00000000000 -gasCCGT,R1,R1,A1,power,retrofit,2030,4.51110000000 +gasCCGT,R1,R1,A1,power,retrofit,2030,4.06670000000 windturbine,R1,R1,A1,power,retrofit,2030,10.00000000000 gassupply1,R1,R1,A1,gas,retrofit,2030,7.50000000000 -gassupply1,R1,R1,A1,gas,retrofit,2030,9.03910000000 -gasboiler,R1,R1,A1,residential,retrofit,2035,3.10000000000 -heatpump,R1,R1,A1,residential,retrofit,2035,7.90000000000 +gassupply1,R1,R1,A1,gas,retrofit,2030,9.58580000000 +gasboiler,R1,R1,A1,residential,retrofit,2035,4.10000000000 +heatpump,R1,R1,A1,residential,retrofit,2035,6.90000000000 heatpump,R1,R1,A1,residential,retrofit,2035,25.00000000000 gasCCGT,R1,R1,A1,power,retrofit,2035,3.00000000000 -gasCCGT,R1,R1,A1,power,retrofit,2035,4.51110000000 -gasCCGT,R1,R1,A1,power,retrofit,2035,2.66670000000 +gasCCGT,R1,R1,A1,power,retrofit,2035,4.06670000000 windturbine,R1,R1,A1,power,retrofit,2035,10.00000000000 -gassupply1,R1,R1,A1,gas,retrofit,2035,9.03910000000 -gassupply1,R1,R1,A1,gas,retrofit,2035,11.95330000000 +windturbine,R1,R1,A1,power,retrofit,2035,6.00000000000 +gassupply1,R1,R1,A1,gas,retrofit,2035,9.58580000000 +gassupply1,R1,R1,A1,gas,retrofit,2035,7.50000000000 +gasboiler,R1,R1,A1,residential,retrofit,2040,0.91000000000 heatpump,R1,R1,A1,residential,retrofit,2040,25.00000000000 -heatpump,R1,R1,A1,residential,retrofit,2040,17.00000000000 +heatpump,R1,R1,A1,residential,retrofit,2040,16.09000000000 gasCCGT,R1,R1,A1,power,retrofit,2040,3.00000000000 -gasCCGT,R1,R1,A1,power,retrofit,2040,4.51110000000 -gasCCGT,R1,R1,A1,power,retrofit,2040,2.66670000000 +gasCCGT,R1,R1,A1,power,retrofit,2040,4.06670000000 windturbine,R1,R1,A1,power,retrofit,2040,10.00000000000 -windturbine,R1,R1,A1,power,retrofit,2040,9.10000000000 -gassupply1,R1,R1,A1,gas,retrofit,2040,9.03910000000 -gassupply1,R1,R1,A1,gas,retrofit,2040,11.95330000000 -heatpump,R1,R1,A1,residential,retrofit,2045,17.00000000000 +windturbine,R1,R1,A1,power,retrofit,2040,6.00000000000 +windturbine,R1,R1,A1,power,retrofit,2040,9.19000000000 +gassupply1,R1,R1,A1,gas,retrofit,2040,9.58580000000 +gassupply1,R1,R1,A1,gas,retrofit,2040,7.50000000000 +gasboiler,R1,R1,A1,residential,retrofit,2045,0.91000000000 +heatpump,R1,R1,A1,residential,retrofit,2045,16.09000000000 heatpump,R1,R1,A1,residential,retrofit,2045,31.00000000000 gasCCGT,R1,R1,A1,power,retrofit,2045,3.00000000000 -gasCCGT,R1,R1,A1,power,retrofit,2045,4.51110000000 -gasCCGT,R1,R1,A1,power,retrofit,2045,2.66670000000 +gasCCGT,R1,R1,A1,power,retrofit,2045,4.06670000000 windturbine,R1,R1,A1,power,retrofit,2045,10.00000000000 -windturbine,R1,R1,A1,power,retrofit,2045,9.10000000000 windturbine,R1,R1,A1,power,retrofit,2045,6.00000000000 -gassupply1,R1,R1,A1,gas,retrofit,2045,9.03910000000 -gassupply1,R1,R1,A1,gas,retrofit,2045,11.95330000000 +windturbine,R1,R1,A1,power,retrofit,2045,9.19000000000 +windturbine,R1,R1,A1,power,retrofit,2045,6.00000000000 +gassupply1,R1,R1,A1,gas,retrofit,2045,9.58580000000 +gassupply1,R1,R1,A1,gas,retrofit,2045,7.50000000000 heatpump,R1,R1,A1,residential,retrofit,2050,31.00000000000 heatpump,R1,R1,A1,residential,retrofit,2050,23.00000000000 gasCCGT,R1,R1,A1,power,retrofit,2050,3.00000000000 -gasCCGT,R1,R1,A1,power,retrofit,2050,4.51110000000 -gasCCGT,R1,R1,A1,power,retrofit,2050,2.66670000000 -windturbine,R1,R1,A1,power,retrofit,2050,9.10000000000 +gasCCGT,R1,R1,A1,power,retrofit,2050,4.06670000000 +windturbine,R1,R1,A1,power,retrofit,2050,6.00000000000 +windturbine,R1,R1,A1,power,retrofit,2050,9.19000000000 windturbine,R1,R1,A1,power,retrofit,2050,6.00000000000 -windturbine,R1,R1,A1,power,retrofit,2050,16.00000000000 -gassupply1,R1,R1,A1,gas,retrofit,2050,9.03910000000 -gassupply1,R1,R1,A1,gas,retrofit,2050,11.95330000000 +windturbine,R1,R1,A1,power,retrofit,2050,16.91000000000 +gassupply1,R1,R1,A1,gas,retrofit,2050,9.58580000000 +gassupply1,R1,R1,A1,gas,retrofit,2050,7.50000000000 diff --git a/docs/advanced-guide/Results/MCAPrices.csv b/docs/advanced-guide/Results/MCAPrices.csv index 0f4783da2..be1988175 100644 --- a/docs/advanced-guide/Results/MCAPrices.csv +++ b/docs/advanced-guide/Results/MCAPrices.csv @@ -47,123 +47,123 @@ timeslice,commodity,region,prices,year "('all-year', 'all-week', 'evening')",gas,R1,0.09440000000,2025 "('all-year', 'all-week', 'evening')",heat,R1,2.14720000000,2025 "('all-year', 'all-week', 'evening')",CO2f,R1,0.12010000000,2025 -"('all-year', 'all-week', 'night')",electricity,R1,0.99980000000,2030 +"('all-year', 'all-week', 'night')",electricity,R1,0.98080000000,2030 "('all-year', 'all-week', 'night')",gas,R1,0.04720000000,2030 -"('all-year', 'all-week', 'night')",heat,R1,0.17380000000,2030 +"('all-year', 'all-week', 'night')",heat,R1,0.20570000000,2030 "('all-year', 'all-week', 'night')",CO2f,R1,0.15700000000,2030 -"('all-year', 'all-week', 'morning')",electricity,R1,1.50340000000,2030 +"('all-year', 'all-week', 'morning')",electricity,R1,1.47480000000,2030 "('all-year', 'all-week', 'morning')",gas,R1,0.07080000000,2030 -"('all-year', 'all-week', 'morning')",heat,R1,0.29530000000,2030 +"('all-year', 'all-week', 'morning')",heat,R1,0.34200000000,2030 "('all-year', 'all-week', 'morning')",CO2f,R1,0.15700000000,2030 -"('all-year', 'all-week', 'afternoon')",electricity,R1,0.99980000000,2030 +"('all-year', 'all-week', 'afternoon')",electricity,R1,0.98080000000,2030 "('all-year', 'all-week', 'afternoon')",gas,R1,0.04720000000,2030 -"('all-year', 'all-week', 'afternoon')",heat,R1,0.17380000000,2030 +"('all-year', 'all-week', 'afternoon')",heat,R1,0.20570000000,2030 "('all-year', 'all-week', 'afternoon')",CO2f,R1,0.15700000000,2030 -"('all-year', 'all-week', 'early-peak')",electricity,R1,1.50340000000,2030 +"('all-year', 'all-week', 'early-peak')",electricity,R1,1.47480000000,2030 "('all-year', 'all-week', 'early-peak')",gas,R1,0.07080000000,2030 -"('all-year', 'all-week', 'early-peak')",heat,R1,0.29530000000,2030 +"('all-year', 'all-week', 'early-peak')",heat,R1,0.34200000000,2030 "('all-year', 'all-week', 'early-peak')",CO2f,R1,0.15700000000,2030 -"('all-year', 'all-week', 'late-peak')",electricity,R1,3.02910000000,2030 +"('all-year', 'all-week', 'late-peak')",electricity,R1,2.97130000000,2030 "('all-year', 'all-week', 'late-peak')",gas,R1,0.14170000000,2030 -"('all-year', 'all-week', 'late-peak')",heat,R1,0.79850000000,2030 +"('all-year', 'all-week', 'late-peak')",heat,R1,0.88510000000,2030 "('all-year', 'all-week', 'late-peak')",CO2f,R1,0.15700000000,2030 -"('all-year', 'all-week', 'evening')",electricity,R1,2.00950000000,2030 +"('all-year', 'all-week', 'evening')",electricity,R1,1.97120000000,2030 "('all-year', 'all-week', 'evening')",gas,R1,0.09440000000,2030 -"('all-year', 'all-week', 'evening')",heat,R1,0.44000000000,2030 +"('all-year', 'all-week', 'evening')",heat,R1,0.50070000000,2030 "('all-year', 'all-week', 'evening')",CO2f,R1,0.15700000000,2030 -"('all-year', 'all-week', 'night')",electricity,R1,1.45900000000,2035 +"('all-year', 'all-week', 'night')",electricity,R1,1.09210000000,2035 "('all-year', 'all-week', 'night')",gas,R1,0.04720000000,2035 -"('all-year', 'all-week', 'night')",heat,R1,0.17960000000,2035 +"('all-year', 'all-week', 'night')",heat,R1,0.21620000000,2035 "('all-year', 'all-week', 'night')",CO2f,R1,0.21490000000,2035 -"('all-year', 'all-week', 'morning')",electricity,R1,2.19260000000,2035 +"('all-year', 'all-week', 'morning')",electricity,R1,1.64110000000,2035 "('all-year', 'all-week', 'morning')",gas,R1,0.07080000000,2035 -"('all-year', 'all-week', 'morning')",heat,R1,0.29740000000,2035 +"('all-year', 'all-week', 'morning')",heat,R1,0.35110000000,2035 "('all-year', 'all-week', 'morning')",CO2f,R1,0.21490000000,2035 -"('all-year', 'all-week', 'afternoon')",electricity,R1,1.45900000000,2035 +"('all-year', 'all-week', 'afternoon')",electricity,R1,1.09210000000,2035 "('all-year', 'all-week', 'afternoon')",gas,R1,0.04720000000,2035 -"('all-year', 'all-week', 'afternoon')",heat,R1,0.17960000000,2035 +"('all-year', 'all-week', 'afternoon')",heat,R1,0.21620000000,2035 "('all-year', 'all-week', 'afternoon')",CO2f,R1,0.21490000000,2035 -"('all-year', 'all-week', 'early-peak')",electricity,R1,2.19260000000,2035 +"('all-year', 'all-week', 'early-peak')",electricity,R1,1.64110000000,2035 "('all-year', 'all-week', 'early-peak')",gas,R1,0.07080000000,2035 -"('all-year', 'all-week', 'early-peak')",heat,R1,0.29740000000,2035 +"('all-year', 'all-week', 'early-peak')",heat,R1,0.35110000000,2035 "('all-year', 'all-week', 'early-peak')",CO2f,R1,0.21490000000,2035 -"('all-year', 'all-week', 'late-peak')",electricity,R1,4.40990000000,2035 +"('all-year', 'all-week', 'late-peak')",electricity,R1,3.29990000000,2035 "('all-year', 'all-week', 'late-peak')",gas,R1,0.14170000000,2035 -"('all-year', 'all-week', 'late-peak')",heat,R1,0.76420000000,2035 +"('all-year', 'all-week', 'late-peak')",heat,R1,0.86410000000,2035 "('all-year', 'all-week', 'late-peak')",CO2f,R1,0.21490000000,2035 -"('all-year', 'all-week', 'evening')",electricity,R1,2.92900000000,2035 +"('all-year', 'all-week', 'evening')",electricity,R1,2.19200000000,2035 "('all-year', 'all-week', 'evening')",gas,R1,0.09440000000,2035 -"('all-year', 'all-week', 'evening')",heat,R1,0.43400000000,2035 +"('all-year', 'all-week', 'evening')",heat,R1,0.50390000000,2035 "('all-year', 'all-week', 'evening')",CO2f,R1,0.21490000000,2035 -"('all-year', 'all-week', 'night')",electricity,R1,1.46830000000,2040 +"('all-year', 'all-week', 'night')",electricity,R1,1.09040000000,2040 "('all-year', 'all-week', 'night')",gas,R1,0.04720000000,2040 -"('all-year', 'all-week', 'night')",heat,R1,0.08240000000,2040 +"('all-year', 'all-week', 'night')",heat,R1,0.10490000000,2040 "('all-year', 'all-week', 'night')",CO2f,R1,0.27280000000,2040 -"('all-year', 'all-week', 'morning')",electricity,R1,2.20560000000,2040 +"('all-year', 'all-week', 'morning')",electricity,R1,1.63790000000,2040 "('all-year', 'all-week', 'morning')",gas,R1,0.07080000000,2040 -"('all-year', 'all-week', 'morning')",heat,R1,0.16760000000,2040 +"('all-year', 'all-week', 'morning')",heat,R1,0.18960000000,2040 "('all-year', 'all-week', 'morning')",CO2f,R1,0.27280000000,2040 -"('all-year', 'all-week', 'afternoon')",electricity,R1,1.46830000000,2040 +"('all-year', 'all-week', 'afternoon')",electricity,R1,1.09040000000,2040 "('all-year', 'all-week', 'afternoon')",gas,R1,0.04720000000,2040 -"('all-year', 'all-week', 'afternoon')",heat,R1,0.08240000000,2040 +"('all-year', 'all-week', 'afternoon')",heat,R1,0.10490000000,2040 "('all-year', 'all-week', 'afternoon')",CO2f,R1,0.27280000000,2040 -"('all-year', 'all-week', 'early-peak')",electricity,R1,2.20560000000,2040 +"('all-year', 'all-week', 'early-peak')",electricity,R1,1.63790000000,2040 "('all-year', 'all-week', 'early-peak')",gas,R1,0.07080000000,2040 -"('all-year', 'all-week', 'early-peak')",heat,R1,0.16760000000,2040 +"('all-year', 'all-week', 'early-peak')",heat,R1,0.18960000000,2040 "('all-year', 'all-week', 'early-peak')",CO2f,R1,0.27280000000,2040 -"('all-year', 'all-week', 'late-peak')",electricity,R1,4.43060000000,2040 +"('all-year', 'all-week', 'late-peak')",electricity,R1,3.28960000000,2040 "('all-year', 'all-week', 'late-peak')",gas,R1,0.14170000000,2040 -"('all-year', 'all-week', 'late-peak')",heat,R1,0.60130000000,2040 +"('all-year', 'all-week', 'late-peak')",heat,R1,0.57450000000,2040 "('all-year', 'all-week', 'late-peak')",CO2f,R1,0.27280000000,2040 -"('all-year', 'all-week', 'evening')",electricity,R1,2.94520000000,2040 +"('all-year', 'all-week', 'evening')",electricity,R1,2.18700000000,2040 "('all-year', 'all-week', 'evening')",gas,R1,0.09440000000,2040 -"('all-year', 'all-week', 'evening')",heat,R1,0.28240000000,2040 +"('all-year', 'all-week', 'evening')",heat,R1,0.29600000000,2040 "('all-year', 'all-week', 'evening')",CO2f,R1,0.27280000000,2040 -"('all-year', 'all-week', 'night')",electricity,R1,1.66070000000,2045 +"('all-year', 'all-week', 'night')",electricity,R1,1.22400000000,2045 "('all-year', 'all-week', 'night')",gas,R1,0.04720000000,2045 -"('all-year', 'all-week', 'night')",heat,R1,0.08280000000,2045 +"('all-year', 'all-week', 'night')",heat,R1,0.11010000000,2045 "('all-year', 'all-week', 'night')",CO2f,R1,0.35390000000,2045 -"('all-year', 'all-week', 'morning')",electricity,R1,2.49380000000,2045 +"('all-year', 'all-week', 'morning')",electricity,R1,1.83800000000,2045 "('all-year', 'all-week', 'morning')",gas,R1,0.07080000000,2045 -"('all-year', 'all-week', 'morning')",heat,R1,0.16840000000,2045 +"('all-year', 'all-week', 'morning')",heat,R1,0.19750000000,2045 "('all-year', 'all-week', 'morning')",CO2f,R1,0.35390000000,2045 -"('all-year', 'all-week', 'afternoon')",electricity,R1,1.66070000000,2045 +"('all-year', 'all-week', 'afternoon')",electricity,R1,1.22400000000,2045 "('all-year', 'all-week', 'afternoon')",gas,R1,0.04720000000,2045 -"('all-year', 'all-week', 'afternoon')",heat,R1,0.08280000000,2045 +"('all-year', 'all-week', 'afternoon')",heat,R1,0.11010000000,2045 "('all-year', 'all-week', 'afternoon')",CO2f,R1,0.35390000000,2045 -"('all-year', 'all-week', 'early-peak')",electricity,R1,2.49380000000,2045 +"('all-year', 'all-week', 'early-peak')",electricity,R1,1.83800000000,2045 "('all-year', 'all-week', 'early-peak')",gas,R1,0.07080000000,2045 -"('all-year', 'all-week', 'early-peak')",heat,R1,0.16840000000,2045 +"('all-year', 'all-week', 'early-peak')",heat,R1,0.19750000000,2045 "('all-year', 'all-week', 'early-peak')",CO2f,R1,0.35390000000,2045 -"('all-year', 'all-week', 'late-peak')",electricity,R1,5.00460000000,2045 +"('all-year', 'all-week', 'late-peak')",electricity,R1,3.68810000000,2045 "('all-year', 'all-week', 'late-peak')",gas,R1,0.14170000000,2045 -"('all-year', 'all-week', 'late-peak')",heat,R1,0.60380000000,2045 +"('all-year', 'all-week', 'late-peak')",heat,R1,0.58980000000,2045 "('all-year', 'all-week', 'late-peak')",CO2f,R1,0.35390000000,2045 -"('all-year', 'all-week', 'evening')",electricity,R1,3.32890000000,2045 +"('all-year', 'all-week', 'evening')",electricity,R1,2.45340000000,2045 "('all-year', 'all-week', 'evening')",gas,R1,0.09440000000,2045 -"('all-year', 'all-week', 'evening')",heat,R1,0.28370000000,2045 +"('all-year', 'all-week', 'evening')",heat,R1,0.30650000000,2045 "('all-year', 'all-week', 'evening')",CO2f,R1,0.35390000000,2045 -"('all-year', 'all-week', 'night')",electricity,R1,1.81030000000,2050 +"('all-year', 'all-week', 'night')",electricity,R1,1.30790000000,2050 "('all-year', 'all-week', 'night')",gas,R1,0.04720000000,2050 -"('all-year', 'all-week', 'night')",heat,R1,0.09050000000,2050 +"('all-year', 'all-week', 'night')",heat,R1,0.07300000000,2050 "('all-year', 'all-week', 'night')",CO2f,R1,0.43510000000,2050 -"('all-year', 'all-week', 'morning')",electricity,R1,2.71800000000,2050 +"('all-year', 'all-week', 'morning')",electricity,R1,1.96360000000,2050 "('all-year', 'all-week', 'morning')",gas,R1,0.07080000000,2050 -"('all-year', 'all-week', 'morning')",heat,R1,0.18570000000,2050 +"('all-year', 'all-week', 'morning')",heat,R1,0.14640000000,2050 "('all-year', 'all-week', 'morning')",CO2f,R1,0.43510000000,2050 -"('all-year', 'all-week', 'afternoon')",electricity,R1,1.81030000000,2050 +"('all-year', 'all-week', 'afternoon')",electricity,R1,1.30790000000,2050 "('all-year', 'all-week', 'afternoon')",gas,R1,0.04720000000,2050 -"('all-year', 'all-week', 'afternoon')",heat,R1,0.09050000000,2050 +"('all-year', 'all-week', 'afternoon')",heat,R1,0.07300000000,2050 "('all-year', 'all-week', 'afternoon')",CO2f,R1,0.43510000000,2050 -"('all-year', 'all-week', 'early-peak')",electricity,R1,2.71800000000,2050 +"('all-year', 'all-week', 'early-peak')",electricity,R1,1.96360000000,2050 "('all-year', 'all-week', 'early-peak')",gas,R1,0.07080000000,2050 -"('all-year', 'all-week', 'early-peak')",heat,R1,0.18570000000,2050 +"('all-year', 'all-week', 'early-peak')",heat,R1,0.14640000000,2050 "('all-year', 'all-week', 'early-peak')",CO2f,R1,0.43510000000,2050 -"('all-year', 'all-week', 'late-peak')",electricity,R1,5.45090000000,2050 +"('all-year', 'all-week', 'late-peak')",electricity,R1,3.93760000000,2050 "('all-year', 'all-week', 'late-peak')",gas,R1,0.14170000000,2050 -"('all-year', 'all-week', 'late-peak')",heat,R1,0.67270000000,2050 +"('all-year', 'all-week', 'late-peak')",heat,R1,0.51470000000,2050 "('all-year', 'all-week', 'late-peak')",CO2f,R1,0.43510000000,2050 -"('all-year', 'all-week', 'evening')",electricity,R1,3.62730000000,2050 +"('all-year', 'all-week', 'evening')",electricity,R1,2.62040000000,2050 "('all-year', 'all-week', 'evening')",gas,R1,0.09440000000,2050 -"('all-year', 'all-week', 'evening')",heat,R1,0.31440000000,2050 +"('all-year', 'all-week', 'evening')",heat,R1,0.24440000000,2050 "('all-year', 'all-week', 'evening')",CO2f,R1,0.43510000000,2050 diff --git a/docs/advanced-guide/Results/Power/Capacity/2020.csv b/docs/advanced-guide/Results/Power/Capacity/2020.csv index 0505f3bfa..62349ecf1 100644 --- a/docs/advanced-guide/Results/Power/Capacity/2020.csv +++ b/docs/advanced-guide/Results/Power/Capacity/2020.csv @@ -1,8 +1,16 @@ -asset,year,region,technology,installed,capacity -0,2020,R1,gasCCGT,2020,1.00000000000 -0,2025,R1,gasCCGT,2020,4.00000000000 -0,2049,R1,gasCCGT,2020,3.00000000000 -0,2050,R1,gasCCGT,2020,3.00000000000 -0,2059,R1,gasCCGT,2020,3.00000000000 -1,2025,R1,windturbine,2020,10.00000000000 -1,2049,R1,windturbine,2020,10.00000000000 +asset,year,region,installed,technology,capacity +0,2020,R1,2020,gasCCGT,1.00000000000 +0,2025,R1,2020,gasCCGT,4.00000000000 +0,2030,R1,2020,gasCCGT,3.00000000000 +0,2035,R1,2020,gasCCGT,3.00000000000 +0,2040,R1,2020,gasCCGT,3.00000000000 +0,2045,R1,2020,gasCCGT,3.00000000000 +0,2049,R1,2020,gasCCGT,3.00000000000 +0,2050,R1,2020,gasCCGT,3.00000000000 +0,2059,R1,2020,gasCCGT,3.00000000000 +1,2025,R1,2020,windturbine,10.00000000000 +1,2030,R1,2020,windturbine,10.00000000000 +1,2035,R1,2020,windturbine,10.00000000000 +1,2040,R1,2020,windturbine,10.00000000000 +1,2045,R1,2020,windturbine,10.00000000000 +1,2049,R1,2020,windturbine,10.00000000000 diff --git a/docs/advanced-guide/Results/Power/Capacity/2025.csv b/docs/advanced-guide/Results/Power/Capacity/2025.csv index b2b0c5890..9a5639fc9 100644 --- a/docs/advanced-guide/Results/Power/Capacity/2025.csv +++ b/docs/advanced-guide/Results/Power/Capacity/2025.csv @@ -6,20 +6,16 @@ asset,year,region,technology,installed,capacity 0,2045,R1,gasCCGT,2020,3.00000000000 0,2049,R1,gasCCGT,2020,3.00000000000 0,2050,R1,gasCCGT,2020,3.00000000000 -0,2054,R1,gasCCGT,2020,3.00000000000 -0,2055,R1,gasCCGT,2020,3.00000000000 0,2059,R1,gasCCGT,2020,3.00000000000 -1,2030,R1,gasCCGT,2025,4.51110000000 -1,2035,R1,gasCCGT,2025,1.00000000000 -1,2040,R1,gasCCGT,2025,1.00000000000 -1,2045,R1,gasCCGT,2025,1.00000000000 -1,2049,R1,gasCCGT,2025,1.00000000000 -1,2050,R1,gasCCGT,2025,1.00000000000 -1,2054,R1,gasCCGT,2025,4.51110000000 -1,2055,R1,gasCCGT,2025,4.51110000000 -1,2059,R1,gasCCGT,2025,1.00000000000 -1,2060,R1,gasCCGT,2025,1.00000000000 -1,2064,R1,gasCCGT,2025,4.51110000000 +1,2030,R1,gasCCGT,2025,4.06670000000 +1,2035,R1,gasCCGT,2025,4.06670000000 +1,2040,R1,gasCCGT,2025,4.06670000000 +1,2045,R1,gasCCGT,2025,4.06670000000 +1,2049,R1,gasCCGT,2025,4.06670000000 +1,2050,R1,gasCCGT,2025,4.06670000000 +1,2059,R1,gasCCGT,2025,4.06670000000 +1,2060,R1,gasCCGT,2025,4.06670000000 +1,2064,R1,gasCCGT,2025,4.06670000000 2,2025,R1,windturbine,2020,10.00000000000 2,2030,R1,windturbine,2020,10.00000000000 2,2035,R1,windturbine,2020,10.00000000000 diff --git a/docs/advanced-guide/Results/Power/Capacity/2030.csv b/docs/advanced-guide/Results/Power/Capacity/2030.csv index efeefe03d..230994997 100644 --- a/docs/advanced-guide/Results/Power/Capacity/2030.csv +++ b/docs/advanced-guide/Results/Power/Capacity/2030.csv @@ -1,30 +1,28 @@ -asset,year,region,technology,installed,capacity -0,2030,R1,gasCCGT,2020,3.00000000000 -0,2035,R1,gasCCGT,2020,3.00000000000 -0,2040,R1,gasCCGT,2020,3.00000000000 -0,2045,R1,gasCCGT,2020,3.00000000000 -0,2049,R1,gasCCGT,2020,3.00000000000 -0,2050,R1,gasCCGT,2020,3.00000000000 -0,2054,R1,gasCCGT,2020,3.00000000000 -0,2055,R1,gasCCGT,2020,3.00000000000 -0,2059,R1,gasCCGT,2020,3.00000000000 -1,2030,R1,gasCCGT,2025,4.51110000000 -1,2035,R1,gasCCGT,2025,4.51110000000 -1,2040,R1,gasCCGT,2025,4.51110000000 -1,2045,R1,gasCCGT,2025,4.51110000000 -1,2049,R1,gasCCGT,2025,4.51110000000 -1,2050,R1,gasCCGT,2025,4.51110000000 -1,2054,R1,gasCCGT,2025,4.51110000000 -1,2055,R1,gasCCGT,2025,4.51110000000 -1,2059,R1,gasCCGT,2025,4.51110000000 -1,2060,R1,gasCCGT,2025,4.51110000000 -1,2064,R1,gasCCGT,2025,4.51110000000 -2,2035,R1,gasCCGT,2030,2.66670000000 -2,2059,R1,gasCCGT,2030,2.66670000000 -2,2060,R1,gasCCGT,2030,2.66670000000 -2,2069,R1,gasCCGT,2030,2.66670000000 -3,2030,R1,windturbine,2020,10.00000000000 -3,2035,R1,windturbine,2020,10.00000000000 -3,2040,R1,windturbine,2020,10.00000000000 -3,2045,R1,windturbine,2020,10.00000000000 -3,2049,R1,windturbine,2020,10.00000000000 +asset,year,region,installed,technology,capacity +0,2030,R1,2020,gasCCGT,3.00000000000 +0,2035,R1,2020,gasCCGT,3.00000000000 +0,2040,R1,2020,gasCCGT,3.00000000000 +0,2045,R1,2020,gasCCGT,3.00000000000 +0,2049,R1,2020,gasCCGT,3.00000000000 +0,2050,R1,2020,gasCCGT,3.00000000000 +0,2059,R1,2020,gasCCGT,3.00000000000 +1,2030,R1,2020,windturbine,10.00000000000 +1,2035,R1,2020,windturbine,10.00000000000 +1,2040,R1,2020,windturbine,10.00000000000 +1,2045,R1,2020,windturbine,10.00000000000 +1,2049,R1,2020,windturbine,10.00000000000 +2,2030,R1,2025,gasCCGT,4.06670000000 +2,2035,R1,2025,gasCCGT,4.06670000000 +2,2040,R1,2025,gasCCGT,4.06670000000 +2,2045,R1,2025,gasCCGT,4.06670000000 +2,2049,R1,2025,gasCCGT,4.06670000000 +2,2050,R1,2025,gasCCGT,4.06670000000 +2,2059,R1,2025,gasCCGT,4.06670000000 +2,2060,R1,2025,gasCCGT,4.06670000000 +2,2064,R1,2025,gasCCGT,4.06670000000 +3,2035,R1,2030,windturbine,6.00000000000 +3,2040,R1,2030,windturbine,6.00000000000 +3,2045,R1,2030,windturbine,6.00000000000 +3,2049,R1,2030,windturbine,6.00000000000 +3,2050,R1,2030,windturbine,6.00000000000 +3,2059,R1,2030,windturbine,6.00000000000 diff --git a/docs/advanced-guide/Results/Power/Capacity/2035.csv b/docs/advanced-guide/Results/Power/Capacity/2035.csv index 9d09915fe..326602f28 100644 --- a/docs/advanced-guide/Results/Power/Capacity/2035.csv +++ b/docs/advanced-guide/Results/Power/Capacity/2035.csv @@ -1,37 +1,32 @@ -asset,year,region,technology,installed,capacity -0,2035,R1,gasCCGT,2020,3.00000000000 -0,2040,R1,gasCCGT,2020,3.00000000000 -0,2045,R1,gasCCGT,2020,3.00000000000 -0,2049,R1,gasCCGT,2020,3.00000000000 -0,2050,R1,gasCCGT,2020,3.00000000000 -0,2054,R1,gasCCGT,2020,3.00000000000 -0,2055,R1,gasCCGT,2020,3.00000000000 -0,2059,R1,gasCCGT,2020,3.00000000000 -1,2035,R1,gasCCGT,2025,4.51110000000 -1,2040,R1,gasCCGT,2025,4.51110000000 -1,2045,R1,gasCCGT,2025,4.51110000000 -1,2049,R1,gasCCGT,2025,4.51110000000 -1,2050,R1,gasCCGT,2025,4.51110000000 -1,2054,R1,gasCCGT,2025,4.51110000000 -1,2055,R1,gasCCGT,2025,4.51110000000 -1,2059,R1,gasCCGT,2025,4.51110000000 -1,2060,R1,gasCCGT,2025,4.51110000000 -1,2064,R1,gasCCGT,2025,4.51110000000 -2,2035,R1,gasCCGT,2030,2.66670000000 -2,2040,R1,gasCCGT,2030,2.66670000000 -2,2045,R1,gasCCGT,2030,2.66670000000 -2,2049,R1,gasCCGT,2030,2.66670000000 -2,2050,R1,gasCCGT,2030,2.66670000000 -2,2054,R1,gasCCGT,2030,2.66670000000 -2,2055,R1,gasCCGT,2030,2.66670000000 -2,2059,R1,gasCCGT,2030,2.66670000000 -2,2060,R1,gasCCGT,2030,2.66670000000 -2,2064,R1,gasCCGT,2030,2.66670000000 -2,2065,R1,gasCCGT,2030,2.66670000000 -2,2069,R1,gasCCGT,2030,2.66670000000 -4,2035,R1,windturbine,2020,10.00000000000 -4,2040,R1,windturbine,2020,10.00000000000 -4,2045,R1,windturbine,2020,10.00000000000 -4,2049,R1,windturbine,2020,10.00000000000 -7,2040,R1,windturbine,2035,9.10000000000 -7,2064,R1,windturbine,2035,9.10000000000 +asset,year,region,installed,technology,capacity +0,2035,R1,2020,gasCCGT,3.00000000000 +0,2040,R1,2020,gasCCGT,3.00000000000 +0,2045,R1,2020,gasCCGT,3.00000000000 +0,2049,R1,2020,gasCCGT,3.00000000000 +0,2050,R1,2020,gasCCGT,3.00000000000 +0,2059,R1,2020,gasCCGT,3.00000000000 +1,2035,R1,2020,windturbine,10.00000000000 +1,2040,R1,2020,windturbine,10.00000000000 +1,2045,R1,2020,windturbine,10.00000000000 +1,2049,R1,2020,windturbine,10.00000000000 +2,2035,R1,2025,gasCCGT,4.06670000000 +2,2040,R1,2025,gasCCGT,4.06670000000 +2,2045,R1,2025,gasCCGT,4.06670000000 +2,2049,R1,2025,gasCCGT,4.06670000000 +2,2050,R1,2025,gasCCGT,4.06670000000 +2,2059,R1,2025,gasCCGT,4.06670000000 +2,2060,R1,2025,gasCCGT,4.06670000000 +2,2064,R1,2025,gasCCGT,4.06670000000 +3,2035,R1,2030,windturbine,6.00000000000 +3,2040,R1,2030,windturbine,6.00000000000 +3,2045,R1,2030,windturbine,6.00000000000 +3,2049,R1,2030,windturbine,6.00000000000 +3,2050,R1,2030,windturbine,6.00000000000 +3,2059,R1,2030,windturbine,6.00000000000 +4,2040,R1,2035,windturbine,9.19000000000 +4,2045,R1,2035,windturbine,9.19000000000 +4,2049,R1,2035,windturbine,9.19000000000 +4,2050,R1,2035,windturbine,9.19000000000 +4,2059,R1,2035,windturbine,9.19000000000 +4,2060,R1,2035,windturbine,9.19000000000 +4,2064,R1,2035,windturbine,9.19000000000 diff --git a/docs/advanced-guide/Results/Power/Capacity/2040.csv b/docs/advanced-guide/Results/Power/Capacity/2040.csv index 219c7e975..716fabb31 100644 --- a/docs/advanced-guide/Results/Power/Capacity/2040.csv +++ b/docs/advanced-guide/Results/Power/Capacity/2040.csv @@ -1,42 +1,36 @@ -asset,year,region,technology,installed,capacity -0,2040,R1,gasCCGT,2020,3.00000000000 -0,2045,R1,gasCCGT,2020,3.00000000000 -0,2049,R1,gasCCGT,2020,3.00000000000 -0,2050,R1,gasCCGT,2020,3.00000000000 -0,2054,R1,gasCCGT,2020,3.00000000000 -0,2055,R1,gasCCGT,2020,3.00000000000 -0,2059,R1,gasCCGT,2020,3.00000000000 -1,2040,R1,gasCCGT,2025,4.51110000000 -1,2045,R1,gasCCGT,2025,4.51110000000 -1,2049,R1,gasCCGT,2025,4.51110000000 -1,2050,R1,gasCCGT,2025,4.51110000000 -1,2054,R1,gasCCGT,2025,4.51110000000 -1,2055,R1,gasCCGT,2025,4.51110000000 -1,2059,R1,gasCCGT,2025,4.51110000000 -1,2060,R1,gasCCGT,2025,4.51110000000 -1,2064,R1,gasCCGT,2025,4.51110000000 -2,2040,R1,gasCCGT,2030,2.66670000000 -2,2045,R1,gasCCGT,2030,2.66670000000 -2,2049,R1,gasCCGT,2030,2.66670000000 -2,2050,R1,gasCCGT,2030,2.66670000000 -2,2054,R1,gasCCGT,2030,2.66670000000 -2,2055,R1,gasCCGT,2030,2.66670000000 -2,2059,R1,gasCCGT,2030,2.66670000000 -2,2060,R1,gasCCGT,2030,2.66670000000 -2,2064,R1,gasCCGT,2030,2.66670000000 -2,2065,R1,gasCCGT,2030,2.66670000000 -2,2069,R1,gasCCGT,2030,2.66670000000 -5,2040,R1,windturbine,2020,10.00000000000 -5,2045,R1,windturbine,2020,10.00000000000 -5,2049,R1,windturbine,2020,10.00000000000 -8,2040,R1,windturbine,2035,9.10000000000 -8,2045,R1,windturbine,2035,9.10000000000 -8,2049,R1,windturbine,2035,9.10000000000 -8,2050,R1,windturbine,2035,9.10000000000 -8,2054,R1,windturbine,2035,9.10000000000 -8,2055,R1,windturbine,2035,9.10000000000 -8,2059,R1,windturbine,2035,9.10000000000 -8,2060,R1,windturbine,2035,9.10000000000 -8,2064,R1,windturbine,2035,9.10000000000 -9,2045,R1,windturbine,2040,6.00000000000 -9,2069,R1,windturbine,2040,6.00000000000 +asset,year,region,installed,technology,capacity +0,2040,R1,2020,gasCCGT,3.00000000000 +0,2045,R1,2020,gasCCGT,3.00000000000 +0,2049,R1,2020,gasCCGT,3.00000000000 +0,2050,R1,2020,gasCCGT,3.00000000000 +0,2059,R1,2020,gasCCGT,3.00000000000 +1,2040,R1,2020,windturbine,10.00000000000 +1,2045,R1,2020,windturbine,10.00000000000 +1,2049,R1,2020,windturbine,10.00000000000 +2,2040,R1,2025,gasCCGT,4.06670000000 +2,2045,R1,2025,gasCCGT,4.06670000000 +2,2049,R1,2025,gasCCGT,4.06670000000 +2,2050,R1,2025,gasCCGT,4.06670000000 +2,2059,R1,2025,gasCCGT,4.06670000000 +2,2060,R1,2025,gasCCGT,4.06670000000 +2,2064,R1,2025,gasCCGT,4.06670000000 +3,2040,R1,2030,windturbine,6.00000000000 +3,2045,R1,2030,windturbine,6.00000000000 +3,2049,R1,2030,windturbine,6.00000000000 +3,2050,R1,2030,windturbine,6.00000000000 +3,2059,R1,2030,windturbine,6.00000000000 +4,2040,R1,2035,windturbine,9.19000000000 +4,2045,R1,2035,windturbine,9.19000000000 +4,2049,R1,2035,windturbine,9.19000000000 +4,2050,R1,2035,windturbine,9.19000000000 +4,2059,R1,2035,windturbine,9.19000000000 +4,2060,R1,2035,windturbine,9.19000000000 +4,2064,R1,2035,windturbine,9.19000000000 +5,2045,R1,2040,windturbine,6.00000000000 +5,2049,R1,2040,windturbine,6.00000000000 +5,2050,R1,2040,windturbine,6.00000000000 +5,2059,R1,2040,windturbine,6.00000000000 +5,2060,R1,2040,windturbine,6.00000000000 +5,2064,R1,2040,windturbine,6.00000000000 +5,2065,R1,2040,windturbine,6.00000000000 +5,2069,R1,2040,windturbine,6.00000000000 diff --git a/docs/advanced-guide/Results/Power/Capacity/2045.csv b/docs/advanced-guide/Results/Power/Capacity/2045.csv index 4d7a7956b..7fb6c6926 100644 --- a/docs/advanced-guide/Results/Power/Capacity/2045.csv +++ b/docs/advanced-guide/Results/Power/Capacity/2045.csv @@ -2,54 +2,38 @@ asset,year,region,technology,installed,capacity 0,2045,R1,gasCCGT,2020,3.00000000000 0,2049,R1,gasCCGT,2020,3.00000000000 0,2050,R1,gasCCGT,2020,3.00000000000 -0,2054,R1,gasCCGT,2020,3.00000000000 -0,2055,R1,gasCCGT,2020,3.00000000000 0,2059,R1,gasCCGT,2020,3.00000000000 -1,2045,R1,gasCCGT,2025,4.51110000000 -1,2049,R1,gasCCGT,2025,4.51110000000 -1,2050,R1,gasCCGT,2025,4.51110000000 -1,2054,R1,gasCCGT,2025,4.51110000000 -1,2055,R1,gasCCGT,2025,4.51110000000 -1,2059,R1,gasCCGT,2025,4.51110000000 -1,2060,R1,gasCCGT,2025,4.51110000000 -1,2064,R1,gasCCGT,2025,4.51110000000 -2,2045,R1,gasCCGT,2030,2.66670000000 -2,2049,R1,gasCCGT,2030,2.66670000000 -2,2050,R1,gasCCGT,2030,2.66670000000 -2,2054,R1,gasCCGT,2030,2.66670000000 -2,2055,R1,gasCCGT,2030,2.66670000000 -2,2059,R1,gasCCGT,2030,2.66670000000 -2,2060,R1,gasCCGT,2030,2.66670000000 -2,2064,R1,gasCCGT,2030,2.66670000000 -2,2065,R1,gasCCGT,2030,2.66670000000 -2,2069,R1,gasCCGT,2030,2.66670000000 -6,2045,R1,windturbine,2020,10.00000000000 -6,2049,R1,windturbine,2020,10.00000000000 -9,2045,R1,windturbine,2035,9.10000000000 -9,2049,R1,windturbine,2035,9.10000000000 -9,2050,R1,windturbine,2035,9.10000000000 -9,2054,R1,windturbine,2035,9.10000000000 -9,2055,R1,windturbine,2035,9.10000000000 -9,2059,R1,windturbine,2035,9.10000000000 -9,2060,R1,windturbine,2035,9.10000000000 -9,2064,R1,windturbine,2035,9.10000000000 -10,2045,R1,windturbine,2040,6.00000000000 -10,2049,R1,windturbine,2040,6.00000000000 -10,2050,R1,windturbine,2040,6.00000000000 -10,2054,R1,windturbine,2040,6.00000000000 -10,2055,R1,windturbine,2040,6.00000000000 -10,2059,R1,windturbine,2040,6.00000000000 -10,2060,R1,windturbine,2040,6.00000000000 -10,2064,R1,windturbine,2040,6.00000000000 -10,2065,R1,windturbine,2040,6.00000000000 -10,2069,R1,windturbine,2040,6.00000000000 -11,2050,R1,windturbine,2045,16.00000000000 -11,2054,R1,windturbine,2045,10.00000000000 -11,2055,R1,windturbine,2045,10.00000000000 -11,2059,R1,windturbine,2045,10.00000000000 -11,2060,R1,windturbine,2045,10.00000000000 -11,2064,R1,windturbine,2045,10.00000000000 -11,2065,R1,windturbine,2045,10.00000000000 -11,2069,R1,windturbine,2045,10.00000000000 -11,2070,R1,windturbine,2045,10.00000000000 -11,2074,R1,windturbine,2045,16.00000000000 +1,2045,R1,gasCCGT,2025,4.06670000000 +1,2049,R1,gasCCGT,2025,4.06670000000 +1,2050,R1,gasCCGT,2025,4.06670000000 +1,2059,R1,gasCCGT,2025,4.06670000000 +1,2060,R1,gasCCGT,2025,4.06670000000 +1,2064,R1,gasCCGT,2025,4.06670000000 +2,2045,R1,windturbine,2020,10.00000000000 +2,2049,R1,windturbine,2020,10.00000000000 +3,2045,R1,windturbine,2030,6.00000000000 +3,2049,R1,windturbine,2030,6.00000000000 +3,2050,R1,windturbine,2030,6.00000000000 +3,2059,R1,windturbine,2030,6.00000000000 +4,2045,R1,windturbine,2035,9.19000000000 +4,2049,R1,windturbine,2035,9.19000000000 +4,2050,R1,windturbine,2035,9.19000000000 +4,2059,R1,windturbine,2035,9.19000000000 +4,2060,R1,windturbine,2035,9.19000000000 +4,2064,R1,windturbine,2035,9.19000000000 +5,2045,R1,windturbine,2040,6.00000000000 +5,2049,R1,windturbine,2040,6.00000000000 +5,2050,R1,windturbine,2040,6.00000000000 +5,2059,R1,windturbine,2040,6.00000000000 +5,2060,R1,windturbine,2040,6.00000000000 +5,2064,R1,windturbine,2040,6.00000000000 +5,2065,R1,windturbine,2040,6.00000000000 +5,2069,R1,windturbine,2040,6.00000000000 +6,2050,R1,windturbine,2045,16.91000000000 +6,2059,R1,windturbine,2045,16.91000000000 +6,2060,R1,windturbine,2045,16.91000000000 +6,2064,R1,windturbine,2045,16.91000000000 +6,2065,R1,windturbine,2045,16.91000000000 +6,2069,R1,windturbine,2045,16.91000000000 +6,2070,R1,windturbine,2045,16.91000000000 +6,2074,R1,windturbine,2045,16.91000000000 diff --git a/docs/advanced-guide/Results/Power/Capacity/2050.csv b/docs/advanced-guide/Results/Power/Capacity/2050.csv index 34043bbad..62c630657 100644 --- a/docs/advanced-guide/Results/Power/Capacity/2050.csv +++ b/docs/advanced-guide/Results/Power/Capacity/2050.csv @@ -1,43 +1,33 @@ -asset,year,region,technology,installed,capacity -0,2050,R1,gasCCGT,2020,3.00000000000 -0,2054,R1,gasCCGT,2020,3.00000000000 -0,2055,R1,gasCCGT,2020,3.00000000000 -0,2059,R1,gasCCGT,2020,3.00000000000 -1,2050,R1,gasCCGT,2025,4.51110000000 -1,2054,R1,gasCCGT,2025,4.51110000000 -1,2055,R1,gasCCGT,2025,4.51110000000 -1,2059,R1,gasCCGT,2025,4.51110000000 -1,2060,R1,gasCCGT,2025,4.51110000000 -1,2064,R1,gasCCGT,2025,4.51110000000 -2,2050,R1,gasCCGT,2030,2.66670000000 -2,2054,R1,gasCCGT,2030,2.66670000000 -2,2055,R1,gasCCGT,2030,2.66670000000 -2,2059,R1,gasCCGT,2030,2.66670000000 -2,2060,R1,gasCCGT,2030,2.66670000000 -2,2064,R1,gasCCGT,2030,2.66670000000 -2,2065,R1,gasCCGT,2030,2.66670000000 -2,2069,R1,gasCCGT,2030,2.66670000000 -9,2050,R1,windturbine,2035,9.10000000000 -9,2054,R1,windturbine,2035,9.10000000000 -9,2055,R1,windturbine,2035,9.10000000000 -9,2059,R1,windturbine,2035,9.10000000000 -9,2060,R1,windturbine,2035,9.10000000000 -9,2064,R1,windturbine,2035,9.10000000000 -10,2050,R1,windturbine,2040,6.00000000000 -10,2054,R1,windturbine,2040,6.00000000000 -10,2055,R1,windturbine,2040,6.00000000000 -10,2059,R1,windturbine,2040,6.00000000000 -10,2060,R1,windturbine,2040,6.00000000000 -10,2064,R1,windturbine,2040,6.00000000000 -10,2065,R1,windturbine,2040,6.00000000000 -10,2069,R1,windturbine,2040,6.00000000000 -11,2050,R1,windturbine,2045,16.00000000000 -11,2054,R1,windturbine,2045,16.00000000000 -11,2055,R1,windturbine,2045,16.00000000000 -11,2059,R1,windturbine,2045,16.00000000000 -11,2060,R1,windturbine,2045,16.00000000000 -11,2064,R1,windturbine,2045,16.00000000000 -11,2065,R1,windturbine,2045,16.00000000000 -11,2069,R1,windturbine,2045,16.00000000000 -11,2070,R1,windturbine,2045,16.00000000000 -11,2074,R1,windturbine,2045,16.00000000000 +asset,year,region,installed,technology,capacity +0,2050,R1,2020,gasCCGT,3.00000000000 +0,2055,R1,2020,gasCCGT,3.00000000000 +0,2059,R1,2020,gasCCGT,3.00000000000 +2,2050,R1,2025,gasCCGT,4.06670000000 +2,2055,R1,2025,gasCCGT,4.06670000000 +2,2059,R1,2025,gasCCGT,4.06670000000 +2,2060,R1,2025,gasCCGT,4.06670000000 +2,2064,R1,2025,gasCCGT,4.06670000000 +3,2050,R1,2030,windturbine,6.00000000000 +3,2055,R1,2030,windturbine,6.00000000000 +3,2059,R1,2030,windturbine,6.00000000000 +4,2050,R1,2035,windturbine,9.19000000000 +4,2055,R1,2035,windturbine,9.19000000000 +4,2059,R1,2035,windturbine,9.19000000000 +4,2060,R1,2035,windturbine,9.19000000000 +4,2064,R1,2035,windturbine,9.19000000000 +5,2050,R1,2040,windturbine,6.00000000000 +5,2055,R1,2040,windturbine,6.00000000000 +5,2059,R1,2040,windturbine,6.00000000000 +5,2060,R1,2040,windturbine,6.00000000000 +5,2064,R1,2040,windturbine,6.00000000000 +5,2065,R1,2040,windturbine,6.00000000000 +5,2069,R1,2040,windturbine,6.00000000000 +6,2050,R1,2045,windturbine,16.91000000000 +6,2055,R1,2045,windturbine,16.91000000000 +6,2059,R1,2045,windturbine,16.91000000000 +6,2060,R1,2045,windturbine,16.91000000000 +6,2064,R1,2045,windturbine,16.91000000000 +6,2065,R1,2045,windturbine,16.91000000000 +6,2069,R1,2045,windturbine,16.91000000000 +6,2070,R1,2045,windturbine,16.91000000000 +6,2074,R1,2045,windturbine,16.91000000000 diff --git a/docs/advanced-guide/Results/Residential/Capacity/2020.csv b/docs/advanced-guide/Results/Residential/Capacity/2020.csv index edcb24851..bcdf148c6 100644 --- a/docs/advanced-guide/Results/Residential/Capacity/2020.csv +++ b/docs/advanced-guide/Results/Residential/Capacity/2020.csv @@ -2,5 +2,5 @@ asset,year,region,technology,installed,capacity 0,2020,R1,gasboiler,2020,10.00000000000 0,2025,R1,gasboiler,2020,5.00000000000 1,2025,R1,heatpump,2020,19.00000000000 -1,2030,R1,heatpump,2020,13.00000000000 +1,2030,R1,heatpump,2020,19.00000000000 1,2034,R1,heatpump,2020,19.00000000000 diff --git a/docs/advanced-guide/Results/Residential/Capacity/2025.csv b/docs/advanced-guide/Results/Residential/Capacity/2025.csv index 19be3208e..2eb0ec153 100644 --- a/docs/advanced-guide/Results/Residential/Capacity/2025.csv +++ b/docs/advanced-guide/Results/Residential/Capacity/2025.csv @@ -1,13 +1,13 @@ asset,year,region,technology,installed,capacity 0,2025,R1,gasboiler,2020,5.00000000000 -1,2030,R1,gasboiler,2025,3.10000000000 -1,2034,R1,gasboiler,2025,3.10000000000 -1,2035,R1,gasboiler,2025,3.10000000000 -1,2039,R1,gasboiler,2025,3.10000000000 +1,2030,R1,gasboiler,2025,4.10000000000 +1,2034,R1,gasboiler,2025,4.10000000000 +1,2035,R1,gasboiler,2025,4.10000000000 +1,2039,R1,gasboiler,2025,4.10000000000 2,2025,R1,heatpump,2020,19.00000000000 2,2030,R1,heatpump,2020,19.00000000000 2,2034,R1,heatpump,2020,19.00000000000 -3,2030,R1,heatpump,2025,7.90000000000 -3,2034,R1,heatpump,2025,1.90000000000 -3,2035,R1,heatpump,2025,1.90000000000 -3,2039,R1,heatpump,2025,7.90000000000 +3,2030,R1,heatpump,2025,6.90000000000 +3,2034,R1,heatpump,2025,6.90000000000 +3,2035,R1,heatpump,2025,6.90000000000 +3,2039,R1,heatpump,2025,6.90000000000 diff --git a/docs/advanced-guide/Results/Residential/Capacity/2030.csv b/docs/advanced-guide/Results/Residential/Capacity/2030.csv index 9e0c40883..22334ba59 100644 --- a/docs/advanced-guide/Results/Residential/Capacity/2030.csv +++ b/docs/advanced-guide/Results/Residential/Capacity/2030.csv @@ -1,15 +1,15 @@ asset,year,region,technology,installed,capacity -1,2030,R1,gasboiler,2025,3.10000000000 -1,2034,R1,gasboiler,2025,3.10000000000 -1,2035,R1,gasboiler,2025,3.10000000000 -1,2039,R1,gasboiler,2025,3.10000000000 -3,2030,R1,heatpump,2020,19.00000000000 -3,2034,R1,heatpump,2020,19.00000000000 -4,2030,R1,heatpump,2025,7.90000000000 -4,2034,R1,heatpump,2025,7.90000000000 -4,2035,R1,heatpump,2025,7.90000000000 -4,2039,R1,heatpump,2025,7.90000000000 -5,2035,R1,heatpump,2030,25.00000000000 -5,2039,R1,heatpump,2030,19.00000000000 -5,2040,R1,heatpump,2030,19.00000000000 -5,2044,R1,heatpump,2030,25.00000000000 +0,2030,R1,gasboiler,2025,4.10000000000 +0,2034,R1,gasboiler,2025,4.10000000000 +0,2035,R1,gasboiler,2025,4.10000000000 +0,2039,R1,gasboiler,2025,4.10000000000 +1,2030,R1,heatpump,2020,19.00000000000 +1,2034,R1,heatpump,2020,19.00000000000 +2,2030,R1,heatpump,2025,6.90000000000 +2,2034,R1,heatpump,2025,6.90000000000 +2,2035,R1,heatpump,2025,6.90000000000 +2,2039,R1,heatpump,2025,6.90000000000 +3,2035,R1,heatpump,2030,25.00000000000 +3,2039,R1,heatpump,2030,25.00000000000 +3,2040,R1,heatpump,2030,25.00000000000 +3,2044,R1,heatpump,2030,25.00000000000 diff --git a/docs/advanced-guide/Results/Residential/Capacity/2035.csv b/docs/advanced-guide/Results/Residential/Capacity/2035.csv index 9c3a75664..452c6c8a9 100644 --- a/docs/advanced-guide/Results/Residential/Capacity/2035.csv +++ b/docs/advanced-guide/Results/Residential/Capacity/2035.csv @@ -1,13 +1,17 @@ asset,year,region,technology,installed,capacity -0,2035,R1,gasboiler,2025,3.10000000000 -0,2039,R1,gasboiler,2025,3.10000000000 -3,2035,R1,heatpump,2025,7.90000000000 -3,2039,R1,heatpump,2025,7.90000000000 -4,2035,R1,heatpump,2030,25.00000000000 -4,2039,R1,heatpump,2030,25.00000000000 -4,2040,R1,heatpump,2030,25.00000000000 -4,2044,R1,heatpump,2030,25.00000000000 -5,2040,R1,heatpump,2035,17.00000000000 -5,2044,R1,heatpump,2035,11.00000000000 -5,2045,R1,heatpump,2035,11.00000000000 -5,2049,R1,heatpump,2035,17.00000000000 +0,2035,R1,gasboiler,2025,4.10000000000 +0,2039,R1,gasboiler,2025,4.10000000000 +1,2040,R1,gasboiler,2035,0.91000000000 +1,2044,R1,gasboiler,2035,0.91000000000 +1,2045,R1,gasboiler,2035,0.91000000000 +1,2049,R1,gasboiler,2035,0.91000000000 +2,2035,R1,heatpump,2025,6.90000000000 +2,2039,R1,heatpump,2025,6.90000000000 +3,2035,R1,heatpump,2030,25.00000000000 +3,2039,R1,heatpump,2030,25.00000000000 +3,2040,R1,heatpump,2030,25.00000000000 +3,2044,R1,heatpump,2030,25.00000000000 +4,2040,R1,heatpump,2035,16.09000000000 +4,2044,R1,heatpump,2035,16.09000000000 +4,2045,R1,heatpump,2035,16.09000000000 +4,2049,R1,heatpump,2035,16.09000000000 diff --git a/docs/advanced-guide/Results/Residential/Capacity/2040.csv b/docs/advanced-guide/Results/Residential/Capacity/2040.csv index 005a581fc..e3ecc1d09 100644 --- a/docs/advanced-guide/Results/Residential/Capacity/2040.csv +++ b/docs/advanced-guide/Results/Residential/Capacity/2040.csv @@ -1,11 +1,15 @@ asset,year,region,technology,installed,capacity -3,2040,R1,heatpump,2030,25.00000000000 -3,2044,R1,heatpump,2030,25.00000000000 -4,2040,R1,heatpump,2035,17.00000000000 -4,2044,R1,heatpump,2035,17.00000000000 -4,2045,R1,heatpump,2035,17.00000000000 -4,2049,R1,heatpump,2035,17.00000000000 -5,2045,R1,heatpump,2040,31.00000000000 -5,2049,R1,heatpump,2040,25.00000000000 -5,2050,R1,heatpump,2040,25.00000000000 -5,2054,R1,heatpump,2040,31.00000000000 +0,2040,R1,gasboiler,2035,0.91000000000 +0,2044,R1,gasboiler,2035,0.91000000000 +0,2045,R1,gasboiler,2035,0.91000000000 +0,2049,R1,gasboiler,2035,0.91000000000 +1,2040,R1,heatpump,2030,25.00000000000 +1,2044,R1,heatpump,2030,25.00000000000 +2,2040,R1,heatpump,2035,16.09000000000 +2,2044,R1,heatpump,2035,16.09000000000 +2,2045,R1,heatpump,2035,16.09000000000 +2,2049,R1,heatpump,2035,16.09000000000 +3,2045,R1,heatpump,2040,31.00000000000 +3,2049,R1,heatpump,2040,31.00000000000 +3,2050,R1,heatpump,2040,31.00000000000 +3,2054,R1,heatpump,2040,31.00000000000 diff --git a/docs/advanced-guide/Results/Residential/Capacity/2045.csv b/docs/advanced-guide/Results/Residential/Capacity/2045.csv index d1f9b34d2..82b22d9b8 100644 --- a/docs/advanced-guide/Results/Residential/Capacity/2045.csv +++ b/docs/advanced-guide/Results/Residential/Capacity/2045.csv @@ -1,11 +1,13 @@ asset,year,region,technology,installed,capacity -3,2045,R1,heatpump,2035,17.00000000000 -3,2049,R1,heatpump,2035,17.00000000000 -4,2045,R1,heatpump,2040,31.00000000000 -4,2049,R1,heatpump,2040,31.00000000000 -4,2050,R1,heatpump,2040,31.00000000000 -4,2054,R1,heatpump,2040,31.00000000000 -5,2050,R1,heatpump,2045,23.00000000000 -5,2054,R1,heatpump,2045,17.00000000000 -5,2055,R1,heatpump,2045,17.00000000000 -5,2059,R1,heatpump,2045,23.00000000000 +0,2045,R1,gasboiler,2035,0.91000000000 +0,2049,R1,gasboiler,2035,0.91000000000 +1,2045,R1,heatpump,2035,16.09000000000 +1,2049,R1,heatpump,2035,16.09000000000 +2,2045,R1,heatpump,2040,31.00000000000 +2,2049,R1,heatpump,2040,31.00000000000 +2,2050,R1,heatpump,2040,31.00000000000 +2,2054,R1,heatpump,2040,31.00000000000 +3,2050,R1,heatpump,2045,23.00000000000 +3,2054,R1,heatpump,2045,23.00000000000 +3,2055,R1,heatpump,2045,23.00000000000 +3,2059,R1,heatpump,2045,23.00000000000 diff --git a/docs/advanced-guide/Results/Residential/Capacity/2050.csv b/docs/advanced-guide/Results/Residential/Capacity/2050.csv index 3cc1c8da3..305b627b2 100644 --- a/docs/advanced-guide/Results/Residential/Capacity/2050.csv +++ b/docs/advanced-guide/Results/Residential/Capacity/2050.csv @@ -1,11 +1,11 @@ asset,year,region,installed,technology,capacity -3,2050,R1,2040,heatpump,31.00000000000 -3,2054,R1,2040,heatpump,31.00000000000 -5,2050,R1,2045,heatpump,23.00000000000 -5,2054,R1,2045,heatpump,23.00000000000 -5,2055,R1,2045,heatpump,23.00000000000 -5,2059,R1,2045,heatpump,23.00000000000 -7,2055,R1,2050,heatpump,31.00000000000 -7,2059,R1,2050,heatpump,31.00000000000 -7,2060,R1,2050,heatpump,31.00000000000 -7,2064,R1,2050,heatpump,31.00000000000 +2,2050,R1,2040,heatpump,31.00000000000 +2,2054,R1,2040,heatpump,31.00000000000 +3,2050,R1,2045,heatpump,23.00000000000 +3,2054,R1,2045,heatpump,23.00000000000 +3,2055,R1,2045,heatpump,23.00000000000 +3,2059,R1,2045,heatpump,23.00000000000 +4,2055,R1,2050,heatpump,31.00000000000 +4,2059,R1,2050,heatpump,31.00000000000 +4,2060,R1,2050,heatpump,31.00000000000 +4,2064,R1,2050,heatpump,31.00000000000 diff --git a/docs/advanced-guide/Results/Residential/Supply/2020.csv b/docs/advanced-guide/Results/Residential/Supply/2020.csv index f851258df..a44059a3e 100644 --- a/docs/advanced-guide/Results/Residential/Supply/2020.csv +++ b/docs/advanced-guide/Results/Residential/Supply/2020.csv @@ -1,6 +1,31 @@ -commodity,year,asset,region,technology,installed,supply -heat,2020,0,R1,gasboiler,2020,10.00000000000 -heat,2025,0,R1,gasboiler,2020,2.77780000000 -heat,2025,1,R1,heatpump,2020,10.55560000000 -CO2f,2020,0,R1,gasboiler,2020,647.10000000000 -CO2f,2025,0,R1,gasboiler,2020,179.75000000000 +timeslice,commodity,year,asset,region,technology,installed,month,day,hour,supply +0,heat,2020,0,R1,gasboiler,2020,all-year,all-week,night,1.00000000000 +0,heat,2025,0,R1,gasboiler,2020,all-year,all-week,night,0.27780000000 +0,heat,2025,1,R1,heatpump,2020,all-year,all-week,night,1.05560000000 +0,CO2f,2020,0,R1,gasboiler,2020,all-year,all-week,night,64.71000000000 +0,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,night,17.97500000000 +1,heat,2020,0,R1,gasboiler,2020,all-year,all-week,morning,1.50000000000 +1,heat,2025,0,R1,gasboiler,2020,all-year,all-week,morning,0.41670000000 +1,heat,2025,1,R1,heatpump,2020,all-year,all-week,morning,1.58330000000 +1,CO2f,2020,0,R1,gasboiler,2020,all-year,all-week,morning,97.06500000000 +1,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,morning,26.96250000000 +2,heat,2020,0,R1,gasboiler,2020,all-year,all-week,afternoon,1.00000000000 +2,heat,2025,0,R1,gasboiler,2020,all-year,all-week,afternoon,0.27780000000 +2,heat,2025,1,R1,heatpump,2020,all-year,all-week,afternoon,1.05560000000 +2,CO2f,2020,0,R1,gasboiler,2020,all-year,all-week,afternoon,64.71000000000 +2,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,afternoon,17.97500000000 +3,heat,2020,0,R1,gasboiler,2020,all-year,all-week,early-peak,1.50000000000 +3,heat,2025,0,R1,gasboiler,2020,all-year,all-week,early-peak,0.41670000000 +3,heat,2025,1,R1,heatpump,2020,all-year,all-week,early-peak,1.58330000000 +3,CO2f,2020,0,R1,gasboiler,2020,all-year,all-week,early-peak,97.06500000000 +3,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,early-peak,26.96250000000 +4,heat,2020,0,R1,gasboiler,2020,all-year,all-week,late-peak,3.00000000000 +4,heat,2025,0,R1,gasboiler,2020,all-year,all-week,late-peak,0.83330000000 +4,heat,2025,1,R1,heatpump,2020,all-year,all-week,late-peak,3.16670000000 +4,CO2f,2020,0,R1,gasboiler,2020,all-year,all-week,late-peak,194.13000000000 +4,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,late-peak,53.92500000000 +5,heat,2020,0,R1,gasboiler,2020,all-year,all-week,evening,2.00000000000 +5,heat,2025,0,R1,gasboiler,2020,all-year,all-week,evening,0.55560000000 +5,heat,2025,1,R1,heatpump,2020,all-year,all-week,evening,2.11110000000 +5,CO2f,2020,0,R1,gasboiler,2020,all-year,all-week,evening,129.42000000000 +5,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,evening,35.95000000000 diff --git a/docs/advanced-guide/Results/Residential/Supply/2025.csv b/docs/advanced-guide/Results/Residential/Supply/2025.csv index b5cc42fec..c9ed8c00b 100644 --- a/docs/advanced-guide/Results/Residential/Supply/2025.csv +++ b/docs/advanced-guide/Results/Residential/Supply/2025.csv @@ -1,8 +1,43 @@ -commodity,year,asset,region,technology,installed,supply -heat,2025,0,R1,gasboiler,2020,2.77780000000 -heat,2025,2,R1,heatpump,2020,10.55560000000 -heat,2030,1,R1,gasboiler,2025,1.72220000000 -heat,2030,2,R1,heatpump,2020,10.55560000000 -heat,2030,3,R1,heatpump,2025,4.38890000000 -CO2f,2025,0,R1,gasboiler,2020,179.75000000000 -CO2f,2030,1,R1,gasboiler,2025,111.44510000000 +timeslice,commodity,year,asset,region,technology,installed,month,day,hour,supply +0,heat,2025,0,R1,gasboiler,2020,all-year,all-week,night,0.27780000000 +0,heat,2025,2,R1,heatpump,2020,all-year,all-week,night,1.05560000000 +0,heat,2030,1,R1,gasboiler,2025,all-year,all-week,night,0.22780000000 +0,heat,2030,2,R1,heatpump,2020,all-year,all-week,night,1.05560000000 +0,heat,2030,3,R1,heatpump,2025,all-year,all-week,night,0.38330000000 +0,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,night,17.97500000000 +0,CO2f,2030,1,R1,gasboiler,2025,all-year,all-week,night,14.73950000000 +1,heat,2025,0,R1,gasboiler,2020,all-year,all-week,morning,0.41670000000 +1,heat,2025,2,R1,heatpump,2020,all-year,all-week,morning,1.58330000000 +1,heat,2030,1,R1,gasboiler,2025,all-year,all-week,morning,0.34170000000 +1,heat,2030,2,R1,heatpump,2020,all-year,all-week,morning,1.58330000000 +1,heat,2030,3,R1,heatpump,2025,all-year,all-week,morning,0.57500000000 +1,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,morning,26.96250000000 +1,CO2f,2030,1,R1,gasboiler,2025,all-year,all-week,morning,22.10920000000 +2,heat,2025,0,R1,gasboiler,2020,all-year,all-week,afternoon,0.27780000000 +2,heat,2025,2,R1,heatpump,2020,all-year,all-week,afternoon,1.05560000000 +2,heat,2030,1,R1,gasboiler,2025,all-year,all-week,afternoon,0.22780000000 +2,heat,2030,2,R1,heatpump,2020,all-year,all-week,afternoon,1.05560000000 +2,heat,2030,3,R1,heatpump,2025,all-year,all-week,afternoon,0.38330000000 +2,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,afternoon,17.97500000000 +2,CO2f,2030,1,R1,gasboiler,2025,all-year,all-week,afternoon,14.73950000000 +3,heat,2025,0,R1,gasboiler,2020,all-year,all-week,early-peak,0.41670000000 +3,heat,2025,2,R1,heatpump,2020,all-year,all-week,early-peak,1.58330000000 +3,heat,2030,1,R1,gasboiler,2025,all-year,all-week,early-peak,0.34170000000 +3,heat,2030,2,R1,heatpump,2020,all-year,all-week,early-peak,1.58330000000 +3,heat,2030,3,R1,heatpump,2025,all-year,all-week,early-peak,0.57500000000 +3,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,early-peak,26.96250000000 +3,CO2f,2030,1,R1,gasboiler,2025,all-year,all-week,early-peak,22.10920000000 +4,heat,2025,0,R1,gasboiler,2020,all-year,all-week,late-peak,0.83330000000 +4,heat,2025,2,R1,heatpump,2020,all-year,all-week,late-peak,3.16670000000 +4,heat,2030,1,R1,gasboiler,2025,all-year,all-week,late-peak,0.68330000000 +4,heat,2030,2,R1,heatpump,2020,all-year,all-week,late-peak,3.16670000000 +4,heat,2030,3,R1,heatpump,2025,all-year,all-week,late-peak,1.15000000000 +4,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,late-peak,53.92500000000 +4,CO2f,2030,1,R1,gasboiler,2025,all-year,all-week,late-peak,44.21850000000 +5,heat,2025,0,R1,gasboiler,2020,all-year,all-week,evening,0.55560000000 +5,heat,2025,2,R1,heatpump,2020,all-year,all-week,evening,2.11110000000 +5,heat,2030,1,R1,gasboiler,2025,all-year,all-week,evening,0.45560000000 +5,heat,2030,2,R1,heatpump,2020,all-year,all-week,evening,2.11110000000 +5,heat,2030,3,R1,heatpump,2025,all-year,all-week,evening,0.76670000000 +5,CO2f,2025,0,R1,gasboiler,2020,all-year,all-week,evening,35.95000000000 +5,CO2f,2030,1,R1,gasboiler,2025,all-year,all-week,evening,29.47900000000 diff --git a/docs/advanced-guide/Results/Residential/Supply/2030.csv b/docs/advanced-guide/Results/Residential/Supply/2030.csv index 534cecf0e..61ae11982 100644 --- a/docs/advanced-guide/Results/Residential/Supply/2030.csv +++ b/docs/advanced-guide/Results/Residential/Supply/2030.csv @@ -1,9 +1,49 @@ -commodity,year,asset,region,technology,installed,supply -heat,2030,1,R1,gasboiler,2025,1.72220000000 -heat,2030,3,R1,heatpump,2020,10.55560000000 -heat,2030,4,R1,heatpump,2025,4.38890000000 -heat,2035,1,R1,gasboiler,2025,1.72220000000 -heat,2035,4,R1,heatpump,2025,4.38890000000 -heat,2035,5,R1,heatpump,2030,13.88890000000 -CO2f,2030,1,R1,gasboiler,2025,111.44510000000 -CO2f,2035,1,R1,gasboiler,2025,111.44510000000 +timeslice,commodity,year,asset,region,technology,installed,month,day,hour,supply +0,heat,2030,0,R1,gasboiler,2025,all-year,all-week,night,0.22780000000 +0,heat,2030,1,R1,heatpump,2020,all-year,all-week,night,1.05560000000 +0,heat,2030,2,R1,heatpump,2025,all-year,all-week,night,0.38330000000 +0,heat,2035,0,R1,gasboiler,2025,all-year,all-week,night,0.22780000000 +0,heat,2035,2,R1,heatpump,2025,all-year,all-week,night,0.38330000000 +0,heat,2035,3,R1,heatpump,2030,all-year,all-week,night,1.38890000000 +0,CO2f,2030,0,R1,gasboiler,2025,all-year,all-week,night,14.73950000000 +0,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,night,14.73950000000 +1,heat,2030,0,R1,gasboiler,2025,all-year,all-week,morning,0.34170000000 +1,heat,2030,1,R1,heatpump,2020,all-year,all-week,morning,1.58330000000 +1,heat,2030,2,R1,heatpump,2025,all-year,all-week,morning,0.57500000000 +1,heat,2035,0,R1,gasboiler,2025,all-year,all-week,morning,0.34170000000 +1,heat,2035,2,R1,heatpump,2025,all-year,all-week,morning,0.57500000000 +1,heat,2035,3,R1,heatpump,2030,all-year,all-week,morning,2.08330000000 +1,CO2f,2030,0,R1,gasboiler,2025,all-year,all-week,morning,22.10920000000 +1,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,morning,22.10920000000 +2,heat,2030,0,R1,gasboiler,2025,all-year,all-week,afternoon,0.22780000000 +2,heat,2030,1,R1,heatpump,2020,all-year,all-week,afternoon,1.05560000000 +2,heat,2030,2,R1,heatpump,2025,all-year,all-week,afternoon,0.38330000000 +2,heat,2035,0,R1,gasboiler,2025,all-year,all-week,afternoon,0.22780000000 +2,heat,2035,2,R1,heatpump,2025,all-year,all-week,afternoon,0.38330000000 +2,heat,2035,3,R1,heatpump,2030,all-year,all-week,afternoon,1.38890000000 +2,CO2f,2030,0,R1,gasboiler,2025,all-year,all-week,afternoon,14.73950000000 +2,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,afternoon,14.73950000000 +3,heat,2030,0,R1,gasboiler,2025,all-year,all-week,early-peak,0.34170000000 +3,heat,2030,1,R1,heatpump,2020,all-year,all-week,early-peak,1.58330000000 +3,heat,2030,2,R1,heatpump,2025,all-year,all-week,early-peak,0.57500000000 +3,heat,2035,0,R1,gasboiler,2025,all-year,all-week,early-peak,0.34170000000 +3,heat,2035,2,R1,heatpump,2025,all-year,all-week,early-peak,0.57500000000 +3,heat,2035,3,R1,heatpump,2030,all-year,all-week,early-peak,2.08330000000 +3,CO2f,2030,0,R1,gasboiler,2025,all-year,all-week,early-peak,22.10920000000 +3,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,early-peak,22.10920000000 +4,heat,2030,0,R1,gasboiler,2025,all-year,all-week,late-peak,0.68330000000 +4,heat,2030,1,R1,heatpump,2020,all-year,all-week,late-peak,3.16670000000 +4,heat,2030,2,R1,heatpump,2025,all-year,all-week,late-peak,1.15000000000 +4,heat,2035,0,R1,gasboiler,2025,all-year,all-week,late-peak,0.68330000000 +4,heat,2035,2,R1,heatpump,2025,all-year,all-week,late-peak,1.15000000000 +4,heat,2035,3,R1,heatpump,2030,all-year,all-week,late-peak,4.16670000000 +4,CO2f,2030,0,R1,gasboiler,2025,all-year,all-week,late-peak,44.21850000000 +4,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,late-peak,44.21850000000 +5,heat,2030,0,R1,gasboiler,2025,all-year,all-week,evening,0.45560000000 +5,heat,2030,1,R1,heatpump,2020,all-year,all-week,evening,2.11110000000 +5,heat,2030,2,R1,heatpump,2025,all-year,all-week,evening,0.76670000000 +5,heat,2035,0,R1,gasboiler,2025,all-year,all-week,evening,0.45560000000 +5,heat,2035,2,R1,heatpump,2025,all-year,all-week,evening,0.76670000000 +5,heat,2035,3,R1,heatpump,2030,all-year,all-week,evening,2.77780000000 +5,CO2f,2030,0,R1,gasboiler,2025,all-year,all-week,evening,29.47900000000 +5,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,evening,29.47900000000 diff --git a/docs/advanced-guide/Results/Residential/Supply/2035.csv b/docs/advanced-guide/Results/Residential/Supply/2035.csv index ea6bde2d0..89e0bd4e1 100644 --- a/docs/advanced-guide/Results/Residential/Supply/2035.csv +++ b/docs/advanced-guide/Results/Residential/Supply/2035.csv @@ -1,7 +1,49 @@ -commodity,year,asset,region,technology,installed,supply -heat,2035,0,R1,gasboiler,2025,1.72220000000 -heat,2035,3,R1,heatpump,2025,4.38890000000 -heat,2035,4,R1,heatpump,2030,13.88890000000 -heat,2040,4,R1,heatpump,2030,13.88890000000 -heat,2040,5,R1,heatpump,2035,9.44440000000 -CO2f,2035,0,R1,gasboiler,2025,111.44510000000 +timeslice,commodity,year,asset,region,technology,installed,month,day,hour,supply +0,heat,2035,0,R1,gasboiler,2025,all-year,all-week,night,0.22780000000 +0,heat,2035,2,R1,heatpump,2025,all-year,all-week,night,0.38330000000 +0,heat,2035,3,R1,heatpump,2030,all-year,all-week,night,1.38890000000 +0,heat,2040,1,R1,gasboiler,2035,all-year,all-week,night,0.05060000000 +0,heat,2040,3,R1,heatpump,2030,all-year,all-week,night,1.38890000000 +0,heat,2040,4,R1,heatpump,2035,all-year,all-week,night,0.89390000000 +0,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,night,14.73950000000 +0,CO2f,2040,1,R1,gasboiler,2035,all-year,all-week,night,3.27140000000 +1,heat,2035,0,R1,gasboiler,2025,all-year,all-week,morning,0.34170000000 +1,heat,2035,2,R1,heatpump,2025,all-year,all-week,morning,0.57500000000 +1,heat,2035,3,R1,heatpump,2030,all-year,all-week,morning,2.08330000000 +1,heat,2040,1,R1,gasboiler,2035,all-year,all-week,morning,0.07580000000 +1,heat,2040,3,R1,heatpump,2030,all-year,all-week,morning,2.08330000000 +1,heat,2040,4,R1,heatpump,2035,all-year,all-week,morning,1.34080000000 +1,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,morning,22.10920000000 +1,CO2f,2040,1,R1,gasboiler,2035,all-year,all-week,morning,4.90720000000 +2,heat,2035,0,R1,gasboiler,2025,all-year,all-week,afternoon,0.22780000000 +2,heat,2035,2,R1,heatpump,2025,all-year,all-week,afternoon,0.38330000000 +2,heat,2035,3,R1,heatpump,2030,all-year,all-week,afternoon,1.38890000000 +2,heat,2040,1,R1,gasboiler,2035,all-year,all-week,afternoon,0.05060000000 +2,heat,2040,3,R1,heatpump,2030,all-year,all-week,afternoon,1.38890000000 +2,heat,2040,4,R1,heatpump,2035,all-year,all-week,afternoon,0.89390000000 +2,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,afternoon,14.73950000000 +2,CO2f,2040,1,R1,gasboiler,2035,all-year,all-week,afternoon,3.27140000000 +3,heat,2035,0,R1,gasboiler,2025,all-year,all-week,early-peak,0.34170000000 +3,heat,2035,2,R1,heatpump,2025,all-year,all-week,early-peak,0.57500000000 +3,heat,2035,3,R1,heatpump,2030,all-year,all-week,early-peak,2.08330000000 +3,heat,2040,1,R1,gasboiler,2035,all-year,all-week,early-peak,0.07580000000 +3,heat,2040,3,R1,heatpump,2030,all-year,all-week,early-peak,2.08330000000 +3,heat,2040,4,R1,heatpump,2035,all-year,all-week,early-peak,1.34080000000 +3,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,early-peak,22.10920000000 +3,CO2f,2040,1,R1,gasboiler,2035,all-year,all-week,early-peak,4.90720000000 +4,heat,2035,0,R1,gasboiler,2025,all-year,all-week,late-peak,0.68330000000 +4,heat,2035,2,R1,heatpump,2025,all-year,all-week,late-peak,1.15000000000 +4,heat,2035,3,R1,heatpump,2030,all-year,all-week,late-peak,4.16670000000 +4,heat,2040,1,R1,gasboiler,2035,all-year,all-week,late-peak,0.15170000000 +4,heat,2040,3,R1,heatpump,2030,all-year,all-week,late-peak,4.16670000000 +4,heat,2040,4,R1,heatpump,2035,all-year,all-week,late-peak,2.68170000000 +4,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,late-peak,44.21850000000 +4,CO2f,2040,1,R1,gasboiler,2035,all-year,all-week,late-peak,9.81430000000 +5,heat,2035,0,R1,gasboiler,2025,all-year,all-week,evening,0.45560000000 +5,heat,2035,2,R1,heatpump,2025,all-year,all-week,evening,0.76670000000 +5,heat,2035,3,R1,heatpump,2030,all-year,all-week,evening,2.77780000000 +5,heat,2040,1,R1,gasboiler,2035,all-year,all-week,evening,0.10110000000 +5,heat,2040,3,R1,heatpump,2030,all-year,all-week,evening,2.77780000000 +5,heat,2040,4,R1,heatpump,2035,all-year,all-week,evening,1.78780000000 +5,CO2f,2035,0,R1,gasboiler,2025,all-year,all-week,evening,29.47900000000 +5,CO2f,2040,1,R1,gasboiler,2035,all-year,all-week,evening,6.54290000000 diff --git a/docs/advanced-guide/Results/Residential/Supply/2040.csv b/docs/advanced-guide/Results/Residential/Supply/2040.csv index ae6882af4..663e47a5a 100644 --- a/docs/advanced-guide/Results/Residential/Supply/2040.csv +++ b/docs/advanced-guide/Results/Residential/Supply/2040.csv @@ -1,5 +1,49 @@ -commodity,year,asset,region,technology,installed,supply -heat,2040,3,R1,heatpump,2030,13.88890000000 -heat,2040,4,R1,heatpump,2035,9.44440000000 -heat,2045,4,R1,heatpump,2035,9.44440000000 -heat,2045,5,R1,heatpump,2040,17.22220000000 +timeslice,commodity,year,asset,region,technology,installed,month,day,hour,supply +0,heat,2040,0,R1,gasboiler,2035,all-year,all-week,night,0.05060000000 +0,heat,2040,1,R1,heatpump,2030,all-year,all-week,night,1.38890000000 +0,heat,2040,2,R1,heatpump,2035,all-year,all-week,night,0.89390000000 +0,heat,2045,0,R1,gasboiler,2035,all-year,all-week,night,0.05060000000 +0,heat,2045,2,R1,heatpump,2035,all-year,all-week,night,0.89390000000 +0,heat,2045,3,R1,heatpump,2040,all-year,all-week,night,1.72220000000 +0,CO2f,2040,0,R1,gasboiler,2035,all-year,all-week,night,3.27140000000 +0,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,night,3.27140000000 +1,heat,2040,0,R1,gasboiler,2035,all-year,all-week,morning,0.07580000000 +1,heat,2040,1,R1,heatpump,2030,all-year,all-week,morning,2.08330000000 +1,heat,2040,2,R1,heatpump,2035,all-year,all-week,morning,1.34080000000 +1,heat,2045,0,R1,gasboiler,2035,all-year,all-week,morning,0.07580000000 +1,heat,2045,2,R1,heatpump,2035,all-year,all-week,morning,1.34080000000 +1,heat,2045,3,R1,heatpump,2040,all-year,all-week,morning,2.58330000000 +1,CO2f,2040,0,R1,gasboiler,2035,all-year,all-week,morning,4.90720000000 +1,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,morning,4.90720000000 +2,heat,2040,0,R1,gasboiler,2035,all-year,all-week,afternoon,0.05060000000 +2,heat,2040,1,R1,heatpump,2030,all-year,all-week,afternoon,1.38890000000 +2,heat,2040,2,R1,heatpump,2035,all-year,all-week,afternoon,0.89390000000 +2,heat,2045,0,R1,gasboiler,2035,all-year,all-week,afternoon,0.05060000000 +2,heat,2045,2,R1,heatpump,2035,all-year,all-week,afternoon,0.89390000000 +2,heat,2045,3,R1,heatpump,2040,all-year,all-week,afternoon,1.72220000000 +2,CO2f,2040,0,R1,gasboiler,2035,all-year,all-week,afternoon,3.27140000000 +2,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,afternoon,3.27140000000 +3,heat,2040,0,R1,gasboiler,2035,all-year,all-week,early-peak,0.07580000000 +3,heat,2040,1,R1,heatpump,2030,all-year,all-week,early-peak,2.08330000000 +3,heat,2040,2,R1,heatpump,2035,all-year,all-week,early-peak,1.34080000000 +3,heat,2045,0,R1,gasboiler,2035,all-year,all-week,early-peak,0.07580000000 +3,heat,2045,2,R1,heatpump,2035,all-year,all-week,early-peak,1.34080000000 +3,heat,2045,3,R1,heatpump,2040,all-year,all-week,early-peak,2.58330000000 +3,CO2f,2040,0,R1,gasboiler,2035,all-year,all-week,early-peak,4.90720000000 +3,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,early-peak,4.90720000000 +4,heat,2040,0,R1,gasboiler,2035,all-year,all-week,late-peak,0.15170000000 +4,heat,2040,1,R1,heatpump,2030,all-year,all-week,late-peak,4.16670000000 +4,heat,2040,2,R1,heatpump,2035,all-year,all-week,late-peak,2.68170000000 +4,heat,2045,0,R1,gasboiler,2035,all-year,all-week,late-peak,0.15170000000 +4,heat,2045,2,R1,heatpump,2035,all-year,all-week,late-peak,2.68170000000 +4,heat,2045,3,R1,heatpump,2040,all-year,all-week,late-peak,5.16670000000 +4,CO2f,2040,0,R1,gasboiler,2035,all-year,all-week,late-peak,9.81430000000 +4,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,late-peak,9.81430000000 +5,heat,2040,0,R1,gasboiler,2035,all-year,all-week,evening,0.10110000000 +5,heat,2040,1,R1,heatpump,2030,all-year,all-week,evening,2.77780000000 +5,heat,2040,2,R1,heatpump,2035,all-year,all-week,evening,1.78780000000 +5,heat,2045,0,R1,gasboiler,2035,all-year,all-week,evening,0.10110000000 +5,heat,2045,2,R1,heatpump,2035,all-year,all-week,evening,1.78780000000 +5,heat,2045,3,R1,heatpump,2040,all-year,all-week,evening,3.44440000000 +5,CO2f,2040,0,R1,gasboiler,2035,all-year,all-week,evening,6.54290000000 +5,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,evening,6.54290000000 diff --git a/docs/advanced-guide/Results/Residential/Supply/2045.csv b/docs/advanced-guide/Results/Residential/Supply/2045.csv index 103d17711..6e2884e67 100644 --- a/docs/advanced-guide/Results/Residential/Supply/2045.csv +++ b/docs/advanced-guide/Results/Residential/Supply/2045.csv @@ -1,5 +1,37 @@ -commodity,year,asset,region,technology,installed,supply -heat,2045,3,R1,heatpump,2035,9.44440000000 -heat,2045,4,R1,heatpump,2040,17.22220000000 -heat,2050,4,R1,heatpump,2040,17.22220000000 -heat,2050,5,R1,heatpump,2045,12.77780000000 +timeslice,commodity,year,asset,region,technology,installed,month,day,hour,supply +0,heat,2045,0,R1,gasboiler,2035,all-year,all-week,night,0.05060000000 +0,heat,2045,1,R1,heatpump,2035,all-year,all-week,night,0.89390000000 +0,heat,2045,2,R1,heatpump,2040,all-year,all-week,night,1.72220000000 +0,heat,2050,2,R1,heatpump,2040,all-year,all-week,night,1.72220000000 +0,heat,2050,3,R1,heatpump,2045,all-year,all-week,night,1.27780000000 +0,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,night,3.27140000000 +1,heat,2045,0,R1,gasboiler,2035,all-year,all-week,morning,0.07580000000 +1,heat,2045,1,R1,heatpump,2035,all-year,all-week,morning,1.34080000000 +1,heat,2045,2,R1,heatpump,2040,all-year,all-week,morning,2.58330000000 +1,heat,2050,2,R1,heatpump,2040,all-year,all-week,morning,2.58330000000 +1,heat,2050,3,R1,heatpump,2045,all-year,all-week,morning,1.91670000000 +1,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,morning,4.90720000000 +2,heat,2045,0,R1,gasboiler,2035,all-year,all-week,afternoon,0.05060000000 +2,heat,2045,1,R1,heatpump,2035,all-year,all-week,afternoon,0.89390000000 +2,heat,2045,2,R1,heatpump,2040,all-year,all-week,afternoon,1.72220000000 +2,heat,2050,2,R1,heatpump,2040,all-year,all-week,afternoon,1.72220000000 +2,heat,2050,3,R1,heatpump,2045,all-year,all-week,afternoon,1.27780000000 +2,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,afternoon,3.27140000000 +3,heat,2045,0,R1,gasboiler,2035,all-year,all-week,early-peak,0.07580000000 +3,heat,2045,1,R1,heatpump,2035,all-year,all-week,early-peak,1.34080000000 +3,heat,2045,2,R1,heatpump,2040,all-year,all-week,early-peak,2.58330000000 +3,heat,2050,2,R1,heatpump,2040,all-year,all-week,early-peak,2.58330000000 +3,heat,2050,3,R1,heatpump,2045,all-year,all-week,early-peak,1.91670000000 +3,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,early-peak,4.90720000000 +4,heat,2045,0,R1,gasboiler,2035,all-year,all-week,late-peak,0.15170000000 +4,heat,2045,1,R1,heatpump,2035,all-year,all-week,late-peak,2.68170000000 +4,heat,2045,2,R1,heatpump,2040,all-year,all-week,late-peak,5.16670000000 +4,heat,2050,2,R1,heatpump,2040,all-year,all-week,late-peak,5.16670000000 +4,heat,2050,3,R1,heatpump,2045,all-year,all-week,late-peak,3.83330000000 +4,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,late-peak,9.81430000000 +5,heat,2045,0,R1,gasboiler,2035,all-year,all-week,evening,0.10110000000 +5,heat,2045,1,R1,heatpump,2035,all-year,all-week,evening,1.78780000000 +5,heat,2045,2,R1,heatpump,2040,all-year,all-week,evening,3.44440000000 +5,heat,2050,2,R1,heatpump,2040,all-year,all-week,evening,3.44440000000 +5,heat,2050,3,R1,heatpump,2045,all-year,all-week,evening,2.55560000000 +5,CO2f,2045,0,R1,gasboiler,2035,all-year,all-week,evening,6.54290000000 diff --git a/docs/advanced-guide/Results/Residential/Supply/2050.csv b/docs/advanced-guide/Results/Residential/Supply/2050.csv index d89c6fe80..61004cae8 100644 --- a/docs/advanced-guide/Results/Residential/Supply/2050.csv +++ b/docs/advanced-guide/Results/Residential/Supply/2050.csv @@ -1,5 +1,25 @@ -commodity,year,asset,region,installed,technology,supply -heat,2050,3,R1,2040,heatpump,17.22220000000 -heat,2050,5,R1,2045,heatpump,12.77780000000 -heat,2055,5,R1,2045,heatpump,12.77780000000 -heat,2055,7,R1,2050,heatpump,17.22220000000 +timeslice,commodity,year,asset,region,installed,technology,month,day,hour,supply +0,heat,2050,2,R1,2040,heatpump,all-year,all-week,night,1.72220000000 +0,heat,2050,3,R1,2045,heatpump,all-year,all-week,night,1.27780000000 +0,heat,2055,3,R1,2045,heatpump,all-year,all-week,night,1.27780000000 +0,heat,2055,4,R1,2050,heatpump,all-year,all-week,night,1.72220000000 +1,heat,2050,2,R1,2040,heatpump,all-year,all-week,morning,2.58330000000 +1,heat,2050,3,R1,2045,heatpump,all-year,all-week,morning,1.91670000000 +1,heat,2055,3,R1,2045,heatpump,all-year,all-week,morning,1.91670000000 +1,heat,2055,4,R1,2050,heatpump,all-year,all-week,morning,2.58330000000 +2,heat,2050,2,R1,2040,heatpump,all-year,all-week,afternoon,1.72220000000 +2,heat,2050,3,R1,2045,heatpump,all-year,all-week,afternoon,1.27780000000 +2,heat,2055,3,R1,2045,heatpump,all-year,all-week,afternoon,1.27780000000 +2,heat,2055,4,R1,2050,heatpump,all-year,all-week,afternoon,1.72220000000 +3,heat,2050,2,R1,2040,heatpump,all-year,all-week,early-peak,2.58330000000 +3,heat,2050,3,R1,2045,heatpump,all-year,all-week,early-peak,1.91670000000 +3,heat,2055,3,R1,2045,heatpump,all-year,all-week,early-peak,1.91670000000 +3,heat,2055,4,R1,2050,heatpump,all-year,all-week,early-peak,2.58330000000 +4,heat,2050,2,R1,2040,heatpump,all-year,all-week,late-peak,5.16670000000 +4,heat,2050,3,R1,2045,heatpump,all-year,all-week,late-peak,3.83330000000 +4,heat,2055,3,R1,2045,heatpump,all-year,all-week,late-peak,3.83330000000 +4,heat,2055,4,R1,2050,heatpump,all-year,all-week,late-peak,5.16670000000 +5,heat,2050,2,R1,2040,heatpump,all-year,all-week,evening,3.44440000000 +5,heat,2050,3,R1,2045,heatpump,all-year,all-week,evening,2.55560000000 +5,heat,2055,3,R1,2045,heatpump,all-year,all-week,evening,2.55560000000 +5,heat,2055,4,R1,2050,heatpump,all-year,all-week,evening,3.44440000000 diff --git a/docs/advanced-guide/Results/ResidentialConsumption_Zero2025.txt b/docs/advanced-guide/Results/ResidentialConsumption_Zero2025.txt index ad221c1be..220d1c69b 100644 --- a/docs/advanced-guide/Results/ResidentialConsumption_Zero2025.txt +++ b/docs/advanced-guide/Results/ResidentialConsumption_Zero2025.txt @@ -93,14 +93,14 @@ year asset commodity heat 2020 0.0000 CO2f 2020 0.0000 1 electricity 2025 0.0000 - gas 2025 1.9978 + gas 2025 2.6422 heat 2025 0.0000 CO2f 2025 0.0000 2 electricity 2020 4.2222 gas 2020 0.0000 heat 2020 0.0000 CO2f 2020 0.0000 - 3 electricity 2025 1.7556 + 3 electricity 2025 1.5333 gas 2025 0.0000 heat 2025 0.0000 CO2f 2025 0.0000 \ No newline at end of file diff --git a/docs/advanced-guide/Results/ResidentialConsumption_Zero2030.txt b/docs/advanced-guide/Results/ResidentialConsumption_Zero2030.txt index 79690b4b5..3ceeefb40 100644 --- a/docs/advanced-guide/Results/ResidentialConsumption_Zero2030.txt +++ b/docs/advanced-guide/Results/ResidentialConsumption_Zero2030.txt @@ -18,14 +18,6 @@ year asset commodity gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt - 4 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt 2035 0 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ @@ -39,14 +31,6 @@ year asset commodity heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt 3 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 4 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt @@ -57,23 +41,15 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 1 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 1 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump @@ -81,74 +57,50 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 1 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 1 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump installed consumption year asset commodity -2030 0 electricity 2020 0.0000 - gas 2020 0.0000 - heat 2020 0.0000 - CO2f 2020 0.0000 - 1 electricity 2025 0.0000 - gas 2025 1.9978 +2030 0 electricity 2025 0.0000 + gas 2025 2.6422 heat 2025 0.0000 CO2f 2025 0.0000 - 2 electricity 2030 0.0000 - gas 2030 0.0000 - heat 2030 0.0000 - CO2f 2030 0.0000 - 3 electricity 2020 4.2222 + 1 electricity 2020 4.2222 gas 2020 0.0000 heat 2020 0.0000 CO2f 2020 0.0000 - 4 electricity 2025 1.7556 + 2 electricity 2025 1.5333 gas 2025 0.0000 heat 2025 0.0000 CO2f 2025 0.0000 - 5 electricity 2030 0.0000 + 3 electricity 2030 0.0000 gas 2030 0.0000 heat 2030 0.0000 CO2f 2030 0.0000 -2035 0 electricity 2020 0.0000 - gas 2020 0.0000 - heat 2020 0.0000 - CO2f 2020 0.0000 - 1 electricity 2025 0.0000 - gas 2025 1.9978 +2035 0 electricity 2025 0.0000 + gas 2025 2.6422 heat 2025 0.0000 CO2f 2025 0.0000 - 2 electricity 2030 0.0000 - gas 2030 0.0000 - heat 2030 0.0000 - CO2f 2030 0.0000 - 3 electricity 2020 0.0000 + 1 electricity 2020 0.0000 gas 2020 0.0000 heat 2020 0.0000 CO2f 2020 0.0000 - 4 electricity 2025 1.7556 + 2 electricity 2025 1.5333 gas 2025 0.0000 heat 2025 0.0000 CO2f 2025 0.0000 - 5 electricity 2030 5.5556 + 3 electricity 2030 5.5556 gas 2030 0.0000 heat 2030 0.0000 CO2f 2030 0.0000 \ No newline at end of file diff --git a/docs/advanced-guide/Results/ResidentialConsumption_Zero2035.txt b/docs/advanced-guide/Results/ResidentialConsumption_Zero2035.txt index 3db8c66ec..3a29749a3 100644 --- a/docs/advanced-guide/Results/ResidentialConsumption_Zero2035.txt +++ b/docs/advanced-guide/Results/ResidentialConsumption_Zero2035.txt @@ -22,10 +22,6 @@ year asset commodity gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt 2040 0 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ @@ -43,10 +39,6 @@ year asset commodity heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt 4 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt @@ -61,19 +53,15 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump @@ -85,19 +73,15 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump @@ -105,26 +89,22 @@ year asset commodity installed consumption year asset commodity 2035 0 electricity 2025 0.0000 - gas 2025 1.9978 + gas 2025 2.6422 heat 2025 0.0000 CO2f 2025 0.0000 - 1 electricity 2030 0.0000 - gas 2030 0.0000 - heat 2030 0.0000 - CO2f 2030 0.0000 - 2 electricity 2035 0.0000 + 1 electricity 2035 0.0000 gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 - 3 electricity 2025 1.7556 + 2 electricity 2025 1.5333 gas 2025 0.0000 heat 2025 0.0000 CO2f 2025 0.0000 - 4 electricity 2030 5.5556 + 3 electricity 2030 5.5556 gas 2030 0.0000 heat 2030 0.0000 CO2f 2030 0.0000 - 5 electricity 2035 0.0000 + 4 electricity 2035 0.0000 gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 @@ -132,23 +112,19 @@ year asset commodity gas 2025 0.0000 heat 2025 0.0000 CO2f 2025 0.0000 - 1 electricity 2030 0.0000 - gas 2030 0.0000 - heat 2030 0.0000 - CO2f 2030 0.0000 - 2 electricity 2035 0.0000 - gas 2035 0.0000 + 1 electricity 2035 0.0000 + gas 2035 0.5864 heat 2035 0.0000 CO2f 2035 0.0000 - 3 electricity 2025 0.0000 + 2 electricity 2025 0.0000 gas 2025 0.0000 heat 2025 0.0000 CO2f 2025 0.0000 - 4 electricity 2030 5.5556 + 3 electricity 2030 5.5556 gas 2030 0.0000 heat 2030 0.0000 CO2f 2030 0.0000 - 5 electricity 2035 3.7778 + 4 electricity 2035 3.5756 gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 \ No newline at end of file diff --git a/docs/advanced-guide/Results/ResidentialConsumption_Zero2040.txt b/docs/advanced-guide/Results/ResidentialConsumption_Zero2040.txt index 2d42442cb..083d7aa54 100644 --- a/docs/advanced-guide/Results/ResidentialConsumption_Zero2040.txt +++ b/docs/advanced-guide/Results/ResidentialConsumption_Zero2040.txt @@ -18,14 +18,6 @@ year asset commodity gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt - 4 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt 2045 0 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ @@ -39,14 +31,6 @@ year asset commodity heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt 3 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 4 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt @@ -57,23 +41,15 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 1 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 1 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump @@ -81,74 +57,50 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 1 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 1 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump installed consumption year asset commodity -2040 0 electricity 2030 0.0000 - gas 2030 0.0000 - heat 2030 0.0000 - CO2f 2030 0.0000 - 1 electricity 2035 0.0000 - gas 2035 0.0000 +2040 0 electricity 2035 0.0000 + gas 2035 0.5864 heat 2035 0.0000 CO2f 2035 0.0000 - 2 electricity 2040 0.0000 - gas 2040 0.0000 - heat 2040 0.0000 - CO2f 2040 0.0000 - 3 electricity 2030 5.5556 + 1 electricity 2030 5.5556 gas 2030 0.0000 heat 2030 0.0000 CO2f 2030 0.0000 - 4 electricity 2035 3.7778 + 2 electricity 2035 3.5756 gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 - 5 electricity 2040 0.0000 + 3 electricity 2040 0.0000 gas 2040 0.0000 heat 2040 0.0000 CO2f 2040 0.0000 -2045 0 electricity 2030 0.0000 - gas 2030 0.0000 - heat 2030 0.0000 - CO2f 2030 0.0000 - 1 electricity 2035 0.0000 - gas 2035 0.0000 +2045 0 electricity 2035 0.0000 + gas 2035 0.5864 heat 2035 0.0000 CO2f 2035 0.0000 - 2 electricity 2040 0.0000 - gas 2040 0.0000 - heat 2040 0.0000 - CO2f 2040 0.0000 - 3 electricity 2030 0.0000 + 1 electricity 2030 0.0000 gas 2030 0.0000 heat 2030 0.0000 CO2f 2030 0.0000 - 4 electricity 2035 3.7778 + 2 electricity 2035 3.5756 gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 - 5 electricity 2040 6.8889 + 3 electricity 2040 6.8889 gas 2040 0.0000 heat 2040 0.0000 CO2f 2040 0.0000 \ No newline at end of file diff --git a/docs/advanced-guide/Results/ResidentialConsumption_Zero2045.txt b/docs/advanced-guide/Results/ResidentialConsumption_Zero2045.txt index 394a960bf..557e6e1c3 100644 --- a/docs/advanced-guide/Results/ResidentialConsumption_Zero2045.txt +++ b/docs/advanced-guide/Results/ResidentialConsumption_Zero2045.txt @@ -18,14 +18,6 @@ year asset commodity gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt - 4 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt 2050 0 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ @@ -39,14 +31,6 @@ year asset commodity heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt 3 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 4 electricity R1 MUS$2010/PJ - gas R1 MUS$2010/PJ - heat R1 MUS$2010/PJ - CO2f R1 MUS$2010/kt - 5 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt @@ -57,23 +41,15 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 1 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 1 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump @@ -81,23 +57,15 @@ year asset commodity gas CommodityUsage.ENERGY|CONSUMABLE gasboiler heat CommodityUsage.ENERGY|PRODUCT gasboiler CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 1 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 2 electricity CommodityUsage.ENERGY|CONSUMABLE gasboiler - gas CommodityUsage.ENERGY|CONSUMABLE gasboiler - heat CommodityUsage.ENERGY|PRODUCT gasboiler - CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT gasboiler - 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 1 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 4 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 2 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump - 5 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump + 3 electricity CommodityUsage.ENERGY|CONSUMABLE heatpump gas CommodityUsage.ENERGY|CONSUMABLE heatpump heat CommodityUsage.ENERGY|PRODUCT heatpump CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT heatpump @@ -105,26 +73,18 @@ year asset commodity installed consumption year asset commodity 2045 0 electricity 2035 0.0000 - gas 2035 0.0000 + gas 2035 0.5864 heat 2035 0.0000 CO2f 2035 0.0000 - 1 electricity 2040 0.0000 - gas 2040 0.0000 - heat 2040 0.0000 - CO2f 2040 0.0000 - 2 electricity 2045 0.0000 - gas 2045 0.0000 - heat 2045 0.0000 - CO2f 2045 0.0000 - 3 electricity 2035 3.7778 + 1 electricity 2035 3.5756 gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 - 4 electricity 2040 6.8889 + 2 electricity 2040 6.8889 gas 2040 0.0000 heat 2040 0.0000 CO2f 2040 0.0000 - 5 electricity 2045 0.0000 + 3 electricity 2045 0.0000 gas 2045 0.0000 heat 2045 0.0000 CO2f 2045 0.0000 @@ -132,23 +92,15 @@ year asset commodity gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 - 1 electricity 2040 0.0000 - gas 2040 0.0000 - heat 2040 0.0000 - CO2f 2040 0.0000 - 2 electricity 2045 0.0000 - gas 2045 0.0000 - heat 2045 0.0000 - CO2f 2045 0.0000 - 3 electricity 2035 0.0000 + 1 electricity 2035 0.0000 gas 2035 0.0000 heat 2035 0.0000 CO2f 2035 0.0000 - 4 electricity 2040 6.8889 + 2 electricity 2040 6.8889 gas 2040 0.0000 heat 2040 0.0000 CO2f 2040 0.0000 - 5 electricity 2045 5.1111 + 3 electricity 2045 5.1111 gas 2045 0.0000 heat 2045 0.0000 CO2f 2045 0.0000 \ No newline at end of file diff --git a/docs/advanced-guide/Results/ResidentialConsumption_Zero2050.txt b/docs/advanced-guide/Results/ResidentialConsumption_Zero2050.txt index 1498ae105..90478a2ca 100644 --- a/docs/advanced-guide/Results/ResidentialConsumption_Zero2050.txt +++ b/docs/advanced-guide/Results/ResidentialConsumption_Zero2050.txt @@ -7,9 +7,38 @@ year asset commodity heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt 1 electricity R1 MUS$2010/PJ -... ... ... -2055 6 CO2f R1 MUS$2010/kt - 7 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt + 2 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt + 3 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt + 4 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt +2055 0 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt + 1 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt + 2 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt + 3 electricity R1 MUS$2010/PJ + gas R1 MUS$2010/PJ + heat R1 MUS$2010/PJ + CO2f R1 MUS$2010/kt + 4 electricity R1 MUS$2010/PJ gas R1 MUS$2010/PJ heat R1 MUS$2010/PJ CO2f R1 MUS$2010/kt @@ -21,9 +50,38 @@ year asset commodity heat CommodityUsage.ENERGY|PRODUCT 2035 CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2035 1 electricity CommodityUsage.ENERGY|CONSUMABLE 2035 -... ... ... -2055 6 CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2050 - 7 electricity CommodityUsage.ENERGY|CONSUMABLE 2050 + gas CommodityUsage.ENERGY|CONSUMABLE 2035 + heat CommodityUsage.ENERGY|PRODUCT 2035 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2035 + 2 electricity CommodityUsage.ENERGY|CONSUMABLE 2040 + gas CommodityUsage.ENERGY|CONSUMABLE 2040 + heat CommodityUsage.ENERGY|PRODUCT 2040 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2040 + 3 electricity CommodityUsage.ENERGY|CONSUMABLE 2045 + gas CommodityUsage.ENERGY|CONSUMABLE 2045 + heat CommodityUsage.ENERGY|PRODUCT 2045 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2045 + 4 electricity CommodityUsage.ENERGY|CONSUMABLE 2050 + gas CommodityUsage.ENERGY|CONSUMABLE 2050 + heat CommodityUsage.ENERGY|PRODUCT 2050 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2050 +2055 0 electricity CommodityUsage.ENERGY|CONSUMABLE 2035 + gas CommodityUsage.ENERGY|CONSUMABLE 2035 + heat CommodityUsage.ENERGY|PRODUCT 2035 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2035 + 1 electricity CommodityUsage.ENERGY|CONSUMABLE 2035 + gas CommodityUsage.ENERGY|CONSUMABLE 2035 + heat CommodityUsage.ENERGY|PRODUCT 2035 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2035 + 2 electricity CommodityUsage.ENERGY|CONSUMABLE 2040 + gas CommodityUsage.ENERGY|CONSUMABLE 2040 + heat CommodityUsage.ENERGY|PRODUCT 2040 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2040 + 3 electricity CommodityUsage.ENERGY|CONSUMABLE 2045 + gas CommodityUsage.ENERGY|CONSUMABLE 2045 + heat CommodityUsage.ENERGY|PRODUCT 2045 + CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2045 + 4 electricity CommodityUsage.ENERGY|CONSUMABLE 2050 gas CommodityUsage.ENERGY|CONSUMABLE 2050 heat CommodityUsage.ENERGY|PRODUCT 2050 CO2f CommodityUsage.ENVIRONMENTAL|PRODUCT 2050 @@ -35,11 +93,38 @@ year asset commodity heat gasboiler 0.0000 CO2f gasboiler 0.0000 1 electricity heatpump 0.0000 -... ... ... -2055 6 CO2f gasboiler 0.0000 - 7 electricity heatpump 6.8889 gas heatpump 0.0000 heat heatpump 0.0000 CO2f heatpump 0.0000 - -[64 rows x 6 columns] \ No newline at end of file + 2 electricity heatpump 6.8889 + gas heatpump 0.0000 + heat heatpump 0.0000 + CO2f heatpump 0.0000 + 3 electricity heatpump 5.1111 + gas heatpump 0.0000 + heat heatpump 0.0000 + CO2f heatpump 0.0000 + 4 electricity heatpump 0.0000 + gas heatpump 0.0000 + heat heatpump 0.0000 + CO2f heatpump 0.0000 +2055 0 electricity gasboiler 0.0000 + gas gasboiler 0.0000 + heat gasboiler 0.0000 + CO2f gasboiler 0.0000 + 1 electricity heatpump 0.0000 + gas heatpump 0.0000 + heat heatpump 0.0000 + CO2f heatpump 0.0000 + 2 electricity heatpump 0.0000 + gas heatpump 0.0000 + heat heatpump 0.0000 + CO2f heatpump 0.0000 + 3 electricity heatpump 5.1111 + gas heatpump 0.0000 + heat heatpump 0.0000 + CO2f heatpump 0.0000 + 4 electricity heatpump 6.8889 + gas heatpump 0.0000 + heat heatpump 0.0000 + CO2f heatpump 0.0000 \ No newline at end of file diff --git a/docs/inputs/inputs_csv.rst b/docs/inputs/inputs_csv.rst index 14132b922..88b6b018d 100644 --- a/docs/inputs/inputs_csv.rst +++ b/docs/inputs/inputs_csv.rst @@ -7,7 +7,6 @@ Input Files :caption: Contents: projections - regions commodities technodata technodata_timeslices diff --git a/docs/inputs/technodata.rst b/docs/inputs/technodata.rst index 883b9c012..bd3fc58ba 100644 --- a/docs/inputs/technodata.rst +++ b/docs/inputs/technodata.rst @@ -121,19 +121,19 @@ UtilizationFactor represents the maximum actual output of the technology in a year, divided by the theoretical maximum output if the technology were operating at full capacity for the whole year. ScalingSize - represents the reference capacity at which capital costs are estimated when used as agents' objective as described in :ref:`inputs-agents'. + represents the reference capacity at which capital costs are estimated when used as agents' objective as described in :ref:`inputs-agents`. efficiency - represents the technology efficiency used as agents' objective to sort investment according to their energy or material efficiency (see :ref:`inputs-agents'). + represents the technology efficiency used as agents' objective to sort investment according to their energy or material efficiency (see :ref:`inputs-agents`). Type defines the type of a technology. This variable is used for the search space in the agents csv file. It allows for the agents to filter for technologies of a similar type, for example. Fuel - defines the fuel used by a technology, defined to restrict the new investments of each agent to selected technologies using selected fuels (see :ref:`inputs-agents'). + defines the fuel used by a technology, defined to restrict the new investments of each agent to selected technologies using selected fuels (see :ref:`inputs-agents`). EndUse - defines the end use of a technology, defined to restrict the new investments of each agent to selected technologies using selected end uses (see :ref:`inputs-agents'). + defines the end use of a technology, defined to restrict the new investments of each agent to selected technologies using selected end uses (see :ref:`inputs-agents`). InterestRate is the technology interest rate (called hurdle rates in other models). @@ -141,7 +141,7 @@ InterestRate Agent_0, ..., Agent_N represent the allocation of the initial capacity to the each agent. - The column heading refers each retrofit agent "AgentShare" as defined in the agents' definition (see :ref:`inputs-agents'). + The column heading refers each retrofit agent "AgentShare" as defined in the agents' definition (see :ref:`inputs-agents`). The value corresponds to the ownership of the initial stock, as defined in the :ref:`inputs-existing-capacity` for the starting year of the simulation. For example, if an initial boiler stock of 10 PJ is available, this is allocated to each agent according to the "AgentShare". @@ -155,9 +155,9 @@ Agent_0, ..., Agent_N resBoilerElectric, region1, 2030, ..., 1 In a two-agent simulation, a new column neeeds to be added for each retrofit agent belonging to the new-retrofit agent pair. - The column heading refers each retrofit agent "AgentShare" as defined in the agents' definition (see :ref:`inputs-agents'). + The column heading refers each retrofit agent "AgentShare" as defined in the agents' definition (see :ref:`inputs-agents`). Assuming a split of the initial capacity into 30 \% and 70 \% for each retrofit agent, the model table would be setup as follows. - The values of the "AgetnShare" needs to reflect the demand split represented by the "Quantity" attribute (see :ref:`inputs-agents'), + The values of the "AgetnShare" needs to reflect the demand split represented by the "Quantity" attribute (see :ref:`inputs-agents`), to make sure that the initial demand is fullfilled with the initial stock. .. csv-table:: Techno-data: AgentShare - 2 agents diff --git a/docs/inputs/toml.rst b/docs/inputs/toml.rst index 62c0e8a7f..d64cad5d8 100644 --- a/docs/inputs/toml.rst +++ b/docs/inputs/toml.rst @@ -139,10 +139,6 @@ explained in the :ref:`toml-primer`. projections: Path to a csv file giving initial market projection. See :ref:`inputs-projection`. -regions: - Path to a csv file describing the regions. See - :ref:`regional_data`. - global_commodities: Path to a csv file describing the comodities in the simulation. See :ref:`inputs-commodities`. @@ -444,7 +440,7 @@ commodities_in commodities_out Path to a csv file describing the outputs of each technology involved in the sector. - See :ref:`inputs-ocomms`. + See :ref:`inputs-iocomms`. existing_capacity Path to a csv file describing the initial capacity of the sector. @@ -617,9 +613,6 @@ agregation_level: excess: Excess factor used to model early obsolescence. -timeslices_path: - Path to a timeslice :ref:`time_slices`. - userdata_path: Path to a directory with sector-specific data files. diff --git a/docs/installing-muse.rst b/docs/installing-muse.rst index c186e27f9..8b28fe12d 100644 --- a/docs/installing-muse.rst +++ b/docs/installing-muse.rst @@ -11,15 +11,15 @@ There are two ways to install MUSE: one for users who do not wish to modify the Linux users may need to install a C compiler, whether GNU gcc or Clang, as well python development packages, depending on their distribution. - #. Install Visual Studio from the following link: https://visualstudio.microsoft.com/downloads/ + #. Install Visual Studio from the following link: https://visualstudio.microsoft.com/vs/older-downloads/. Please select the 2019 version. Click on download. - #. Select your preferred edition. Although, the "Community" version is free and contains what is required. + #. Select the “Visual Studio Community” version. Click on “Download” and save the executable vs_Commmunity.exe. - #. Install Visual Studio by selecting the default options. + #. Install Visual Studio by selecting the default options. You may be asked to reboot your computer to complete the installation. - #. Download the Microsoft Visual C++ Build Tools from the following link by downloading Visual Studio 2019: https://visualstudio.microsoft.com/downloads/ + #. Download the Microsoft Visual C++ Build Tools from the following link: https://visualstudio.microsoft.com/vs/older-downloads/. - #. Select your preferred edition. The "Community" is free and contains what is required. + #. Please select the “Build Tools for Visual Studio 2019 (version 16.9)”. Click on download. Save the vs_BuildTools.exe. #. Run the installer @@ -48,7 +48,7 @@ After python is installed we can install MUSE. MUSE can be installed via the `An .. code-block:: bash - python -m pip install --user git+https://github.com/SGIModel/StarMuse + python -m pip install --user git+https://github.com/SGIModel/MUSE_OS It should now be possible to run muse. Again, this can be done in the anaconda prompt as follows: @@ -93,7 +93,7 @@ The simplest approach is to first download the muse code with `git`_: .. code-block:: bash - git clone https://github.com/SGIModel/StarMuse.git muse + git clone https://github.com/SGIModel/MUSE_OS.git muse For interested users, there are plenty of `good`__ tutorials for `git`_. Next, it is possible to install the working directory into the conda environment: diff --git a/docs/running-muse-example.ipynb b/docs/running-muse-example.ipynb index 0aa49bee4..600a046bd 100644 --- a/docs/running-muse-example.ipynb +++ b/docs/running-muse-example.ipynb @@ -11,14 +11,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In this section we run an example simulation of MUSE and visualise the results. There are a number of different examples in the source code, which can be found [INSERT LINK HERE](tutorial-code/). \n", + "In this section we run an example simulation of MUSE and visualise the results. There are a number of different examples in the source code, which can be found [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code). \n", "\n", "Once python and MUSE have been installed, we can run an example. To do this open anaconda prompt. Then change directory to where you have downloaded the MUSE source code. \n", "\n", "Navigate to the following link for MacOS or Linux based operating systems:\n", "\n", "```bash\n", - "{MUSE_download_location}/StarMuse/run/example/default/\n", + "{MUSE_download_location}/muse/run/example/default/\n", "```\n", "\n", "Change ```{MUSE_download_location}``` to the location you downloaded MUSE to, for example ```Users/{my_name}/Documents/``` using the `cd` command, or \"change directory\" command. Once we have navigated to the directory containing the example settings ```settings.toml``` we can run the simulation using the following command in the anaconda prompt or terminal:\n", @@ -296,7 +296,7 @@ }, { "data": { - "image/png": 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\n", 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", 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\n", + "image/png": 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", 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\n", + "image/png": 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" ] diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2020.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2020.csv new file mode 100644 index 000000000..435bd5624 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2020.csv @@ -0,0 +1,19 @@ +asset,year,region,technology,installed,capacity +0,2020,R1,gassupply1,2020,30.00000000000 +0,2022,R1,gassupply1,2020,64.94810000000 +0,2025,R1,gassupply1,2020,48.71110000000 +0,2030,R1,gassupply1,2020,33.71110000000 +0,2035,R1,gassupply1,2020,18.71110000000 +0,2040,R1,gassupply1,2020,18.71110000000 +0,2045,R1,gassupply1,2020,18.71110000000 +0,2050,R1,gassupply1,2020,18.71110000000 +0,2056,R1,gassupply1,2020,34.94810000000 +1,2020,R2,gassupply1,2020,30.00000000000 +1,2022,R2,gassupply1,2020,61.98520000000 +1,2025,R2,gassupply1,2020,48.71110000000 +1,2030,R2,gassupply1,2020,33.71110000000 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+3,2025,R2,gassupply1,2022,4.66610000000 +3,2027,R2,gassupply1,2022,4.66610000000 +3,2030,R2,gassupply1,2022,4.66610000000 +3,2035,R2,gassupply1,2022,4.66610000000 +3,2040,R2,gassupply1,2022,4.66610000000 +3,2045,R2,gassupply1,2022,4.66610000000 +3,2050,R2,gassupply1,2022,4.66610000000 +3,2056,R2,gassupply1,2022,4.66610000000 +3,2057,R2,gassupply1,2022,4.66610000000 +3,2058,R2,gassupply1,2022,4.66610000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2024.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2024.csv new file mode 100644 index 000000000..77660e00c --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2024.csv @@ -0,0 +1,60 @@ +asset,year,region,installed,technology,capacity +0,2024,R1,2020,gassupply1,64.94810000000 +0,2025,R1,2020,gassupply1,64.94810000000 +0,2026,R1,2020,gassupply1,57.44810000000 +0,2027,R1,2020,gassupply1,49.94810000000 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b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2036.csv new file mode 100644 index 000000000..2dad3fc2e --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Gas/Capacity/2036.csv @@ -0,0 +1,79 @@ +asset,year,region,technology,installed,capacity +0,2036,R1,gassupply1,2020,34.94810000000 +0,2037,R1,gassupply1,2020,34.94810000000 +0,2039,R1,gassupply1,2020,34.94810000000 +0,2040,R1,gassupply1,2020,34.94810000000 +0,2041,R1,gassupply1,2020,34.94810000000 +0,2045,R1,gassupply1,2020,34.94810000000 +0,2050,R1,gassupply1,2020,34.94810000000 +0,2056,R1,gassupply1,2020,34.94810000000 +1,2036,R1,gassupply1,2022,16.84230000000 +1,2037,R1,gassupply1,2022,16.84230000000 +1,2039,R1,gassupply1,2022,16.84230000000 +1,2040,R1,gassupply1,2022,16.84230000000 +1,2041,R1,gassupply1,2022,16.84230000000 +1,2045,R1,gassupply1,2022,16.84230000000 +1,2050,R1,gassupply1,2022,16.84230000000 +1,2056,R1,gassupply1,2022,16.84230000000 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b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/MCACapacity.csv @@ -0,0 +1,225 @@ +technology,region,agent,type,sector,capacity,year +gas_stove,R1,A1,retrofit,residential,10.00000000000,2020 +gasboiler,R1,A1,retrofit,residential,10.00000000000,2020 +gas_stove,R2,A1,retrofit,residential,10.00000000000,2020 +gasboiler,R2,A1,retrofit,residential,10.00000000000,2020 +gas_stove,R1,A2,retrofit,residential,10.00000000000,2020 +gasboiler,R1,A2,retrofit,residential,10.00000000000,2020 +gas_stove,R2,A2,retrofit,residential,10.00000000000,2020 +gasboiler,R2,A2,retrofit,residential,10.00000000000,2020 +gasCCGT,R1,A1,retrofit,power,1.00000000000,2020 +gasCCGT,R2,A1,retrofit,power,1.00000000000,2020 +gasCCGT,R1,A2,retrofit,power,1.00000000000,2020 +gasCCGT,R2,A2,retrofit,power,1.00000000000,2020 +gassupply1,R1,A1,retrofit,gas,15.00000000000,2020 +gassupply1,R2,A1,retrofit,gas,15.00000000000,2020 +gassupply1,R1,A2,retrofit,gas,15.00000000000,2020 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'early-peak')",gas,R2,9.37800000000,2040 +"('all-year', 'all-week', 'early-peak')",heat,R1,100.00000000000,2040 +"('all-year', 'all-week', 'early-peak')",heat,R2,100.00000000000,2040 +"('all-year', 'all-week', 'early-peak')",CO2f,R1,0.27280000000,2040 +"('all-year', 'all-week', 'early-peak')",CO2f,R2,0.27280000000,2040 +"('all-year', 'all-week', 'early-peak')",cook,R1,100.00000000000,2040 +"('all-year', 'all-week', 'early-peak')",cook,R2,100.00000000000,2040 +"('all-year', 'all-week', 'late-peak')",electricity,R1,23.85190000000,2040 +"('all-year', 'all-week', 'late-peak')",electricity,R2,23.85190000000,2040 +"('all-year', 'all-week', 'late-peak')",gas,R1,9.37800000000,2040 +"('all-year', 'all-week', 'late-peak')",gas,R2,9.37800000000,2040 +"('all-year', 'all-week', 'late-peak')",heat,R1,100.00000000000,2040 +"('all-year', 'all-week', 'late-peak')",heat,R2,100.00000000000,2040 +"('all-year', 'all-week', 'late-peak')",CO2f,R1,0.27280000000,2040 +"('all-year', 'all-week', 'late-peak')",CO2f,R2,0.27280000000,2040 +"('all-year', 'all-week', 'late-peak')",cook,R1,100.00000000000,2040 +"('all-year', 'all-week', 'late-peak')",cook,R2,100.00000000000,2040 +"('all-year', 'all-week', 'evening')",electricity,R1,23.85190000000,2040 +"('all-year', 'all-week', 'evening')",electricity,R2,23.85190000000,2040 +"('all-year', 'all-week', 'evening')",gas,R1,9.37800000000,2040 +"('all-year', 'all-week', 'evening')",gas,R2,9.37800000000,2040 +"('all-year', 'all-week', 'evening')",heat,R1,100.00000000000,2040 +"('all-year', 'all-week', 'evening')",heat,R2,100.00000000000,2040 +"('all-year', 'all-week', 'evening')",CO2f,R1,0.27280000000,2040 +"('all-year', 'all-week', 'evening')",CO2f,R2,0.27280000000,2040 +"('all-year', 'all-week', 'evening')",cook,R1,100.00000000000,2040 +"('all-year', 'all-week', 'evening')",cook,R2,100.00000000000,2040 +"('all-year', 'all-week', 'early-morning')",electricity,R1,23.85190000000,2040 +"('all-year', 'all-week', 'early-morning')",electricity,R2,23.85190000000,2040 +"('all-year', 'all-week', 'early-morning')",gas,R1,9.37800000000,2040 +"('all-year', 'all-week', 'early-morning')",gas,R2,9.37800000000,2040 +"('all-year', 'all-week', 'early-morning')",heat,R1,100.00000000000,2040 +"('all-year', 'all-week', 'early-morning')",heat,R2,100.00000000000,2040 +"('all-year', 'all-week', 'early-morning')",CO2f,R1,0.27280000000,2040 +"('all-year', 'all-week', 'early-morning')",CO2f,R2,0.27280000000,2040 +"('all-year', 'all-week', 'early-morning')",cook,R1,100.00000000000,2040 +"('all-year', 'all-week', 'early-morning')",cook,R2,100.00000000000,2040 +"('all-year', 'all-week', 'late-afternoon')",electricity,R1,23.85190000000,2040 +"('all-year', 'all-week', 'late-afternoon')",electricity,R2,23.85190000000,2040 +"('all-year', 'all-week', 'late-afternoon')",gas,R1,9.37800000000,2040 +"('all-year', 'all-week', 'late-afternoon')",gas,R2,9.37800000000,2040 +"('all-year', 'all-week', 'late-afternoon')",heat,R1,100.00000000000,2040 +"('all-year', 'all-week', 'late-afternoon')",heat,R2,100.00000000000,2040 +"('all-year', 'all-week', 'late-afternoon')",CO2f,R1,0.27280000000,2040 +"('all-year', 'all-week', 'late-afternoon')",CO2f,R2,0.27280000000,2040 +"('all-year', 'all-week', 'late-afternoon')",cook,R1,100.00000000000,2040 +"('all-year', 'all-week', 'late-afternoon')",cook,R2,100.00000000000,2040 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2020.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2020.csv new file mode 100644 index 000000000..caffb8952 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2020.csv @@ -0,0 +1,9 @@ +asset,year,region,technology,installed,capacity +0,2020,R1,gasCCGT,2020,2.00000000000 +0,2025,R1,gasCCGT,2020,2.00000000000 +2,2022,R1,windturbine,2020,63.50000000000 +2,2046,R1,windturbine,2020,63.50000000000 +3,2020,R2,gasCCGT,2020,2.00000000000 +3,2025,R2,gasCCGT,2020,2.00000000000 +5,2022,R2,windturbine,2020,63.50000000000 +5,2046,R2,windturbine,2020,63.50000000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2022.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2022.csv new file mode 100644 index 000000000..8daeb2646 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2022.csv @@ -0,0 +1,45 @@ +asset,year,region,installed,technology,capacity +0,2022,R1,2020,gasCCGT,2.00000000000 +0,2024,R1,2020,gasCCGT,2.00000000000 +0,2025,R1,2020,gasCCGT,2.00000000000 +2,2022,R1,2020,windturbine,63.50000000000 +2,2024,R1,2020,windturbine,63.50000000000 +2,2025,R1,2020,windturbine,63.50000000000 +2,2027,R1,2020,windturbine,63.50000000000 +2,2030,R1,2020,windturbine,63.50000000000 +2,2035,R1,2020,windturbine,63.50000000000 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+8,2045,R2,2020,windturbine,63.50000000000 +8,2046,R2,2020,windturbine,63.50000000000 +11,2024,R2,2022,windturbine,0.32820000000 +11,2025,R2,2022,windturbine,0.32820000000 +11,2027,R2,2022,windturbine,0.32820000000 +11,2030,R2,2022,windturbine,0.32820000000 +11,2035,R2,2022,windturbine,0.32820000000 +11,2040,R2,2022,windturbine,0.32820000000 +11,2045,R2,2022,windturbine,0.32820000000 +11,2046,R2,2022,windturbine,0.32820000000 +11,2047,R2,2022,windturbine,0.32820000000 +11,2048,R2,2022,windturbine,0.32820000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2024.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2024.csv new file mode 100644 index 000000000..d77884a33 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2024.csv @@ -0,0 +1,75 @@ +asset,year,region,technology,installed,capacity +0,2024,R1,gasCCGT,2020,2.00000000000 +0,2025,R1,gasCCGT,2020,2.00000000000 +0,2026,R1,gasCCGT,2020,1.00000000000 +4,2024,R1,windturbine,2020,63.50000000000 +4,2025,R1,windturbine,2020,63.50000000000 +4,2026,R1,windturbine,2020,63.50000000000 +4,2027,R1,windturbine,2020,63.50000000000 +4,2029,R1,windturbine,2020,63.50000000000 +4,2030,R1,windturbine,2020,63.50000000000 +4,2035,R1,windturbine,2020,63.50000000000 +4,2040,R1,windturbine,2020,63.50000000000 +4,2045,R1,windturbine,2020,63.50000000000 +4,2046,R1,windturbine,2020,63.50000000000 +5,2024,R1,windturbine,2022,0.32820000000 +5,2025,R1,windturbine,2022,0.32820000000 +5,2026,R1,windturbine,2022,0.32820000000 +5,2027,R1,windturbine,2022,0.32820000000 +5,2029,R1,windturbine,2022,0.32820000000 +5,2030,R1,windturbine,2022,0.32820000000 +5,2035,R1,windturbine,2022,0.32820000000 +5,2040,R1,windturbine,2022,0.32820000000 +5,2045,R1,windturbine,2022,0.32820000000 +5,2046,R1,windturbine,2022,0.32820000000 +5,2047,R1,windturbine,2022,0.32820000000 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+13,2047,R2,windturbine,2024,4.50000000000 +13,2048,R2,windturbine,2024,4.50000000000 +13,2049,R2,windturbine,2024,4.50000000000 +13,2050,R2,windturbine,2024,27.52480000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2026.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2026.csv new file mode 100644 index 000000000..33471ed4b --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2026.csv @@ -0,0 +1,69 @@ +asset,year,region,installed,technology,capacity +0,2026,R1,2020,gasCCGT,1.00000000000 +2,2026,R1,2020,windturbine,63.50000000000 +2,2027,R1,2020,windturbine,63.50000000000 +2,2029,R1,2020,windturbine,63.50000000000 +2,2030,R1,2020,windturbine,63.50000000000 +2,2031,R1,2020,windturbine,63.50000000000 +2,2035,R1,2020,windturbine,63.50000000000 +2,2040,R1,2020,windturbine,63.50000000000 +2,2045,R1,2020,windturbine,63.50000000000 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+20,2060,R2,2036,solarPV,38.81420000000 +20,2061,R2,2036,solarPV,38.81420000000 +20,2062,R2,2036,solarPV,38.81420000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2040.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2040.csv new file mode 100644 index 000000000..583ef69e6 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Power/Capacity/2040.csv @@ -0,0 +1,103 @@ +asset,year,region,installed,technology,capacity +1,2040,R1,2020,windturbine,63.50000000000 +1,2041,R1,2020,windturbine,63.50000000000 +1,2043,R1,2020,windturbine,63.50000000000 +1,2045,R1,2020,windturbine,63.50000000000 +1,2046,R1,2020,windturbine,63.50000000000 +2,2040,R1,2022,windturbine,0.32820000000 +2,2041,R1,2022,windturbine,0.32820000000 +2,2043,R1,2022,windturbine,0.32820000000 +2,2045,R1,2022,windturbine,0.32820000000 +2,2046,R1,2022,windturbine,0.32820000000 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b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2020.csv new file mode 100644 index 000000000..c1ba6383a --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2020.csv @@ -0,0 +1,25 @@ +asset,year,region,technology,installed,capacity +1,2020,R1,gas_stove,2020,20.00000000000 +1,2022,R1,gas_stove,2020,35.33330000000 +1,2025,R1,gas_stove,2020,24.00000000000 +1,2030,R1,gas_stove,2020,14.00000000000 +1,2031,R1,gas_stove,2020,19.33330000000 +2,2020,R1,gasboiler,2020,20.00000000000 +2,2022,R1,gasboiler,2020,16.00000000000 +2,2025,R1,gasboiler,2020,10.00000000000 +3,2022,R1,heatpump,2020,22.00000000000 +3,2025,R1,heatpump,2020,14.00000000000 +3,2030,R1,heatpump,2020,14.00000000000 +3,2031,R1,heatpump,2020,22.00000000000 +5,2020,R2,gas_stove,2020,20.00000000000 +5,2022,R2,gas_stove,2020,24.66670000000 +5,2025,R2,gas_stove,2020,18.66670000000 +5,2030,R2,gas_stove,2020,8.66670000000 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a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2026.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2026.csv new file mode 100644 index 000000000..35def3d7a --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2026.csv @@ -0,0 +1,139 @@ +asset,year,region,installed,technology,capacity +1,2026,R1,2020,gas_stove,24.33330000000 +1,2027,R1,2020,gas_stove,19.33330000000 +1,2028,R1,2020,gas_stove,19.33330000000 +1,2029,R1,2020,gas_stove,19.33330000000 +1,2030,R1,2020,gas_stove,19.33330000000 +1,2031,R1,2020,gas_stove,19.33330000000 +2,2026,R1,2020,gasboiler,5.00000000000 +3,2026,R1,2020,heatpump,22.00000000000 +3,2027,R1,2020,heatpump,22.00000000000 +3,2028,R1,2020,heatpump,22.00000000000 +3,2029,R1,2020,heatpump,22.00000000000 +3,2030,R1,2020,heatpump,22.00000000000 +3,2031,R1,2020,heatpump,22.00000000000 +5,2026,R1,2022,gas_stove,6.13330000000 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b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2030.csv new file mode 100644 index 000000000..8950f11e3 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2030.csv @@ -0,0 +1,161 @@ +asset,year,region,installed,technology,capacity +1,2030,R1,2020,gas_stove,19.33330000000 +1,2031,R1,2020,gas_stove,19.33330000000 +3,2030,R1,2020,heatpump,22.00000000000 +3,2031,R1,2020,heatpump,22.00000000000 +5,2030,R1,2022,gas_stove,6.13330000000 +5,2031,R1,2022,gas_stove,6.13330000000 +5,2032,R1,2022,gas_stove,6.13330000000 +5,2033,R1,2022,gas_stove,6.13330000000 +7,2030,R1,2022,heatpump,7.20000000000 +7,2031,R1,2022,heatpump,7.20000000000 +7,2032,R1,2022,heatpump,7.20000000000 +7,2033,R1,2022,heatpump,7.20000000000 +9,2030,R1,2024,gas_stove,8.13330000000 +9,2031,R1,2024,gas_stove,8.13330000000 +9,2032,R1,2024,gas_stove,8.13330000000 +9,2033,R1,2024,gas_stove,8.13330000000 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a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2032.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2032.csv new file mode 100644 index 000000000..17b530e28 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2032.csv @@ -0,0 +1,161 @@ +asset,year,region,installed,technology,capacity +5,2032,R1,2022,gas_stove,6.13330000000 +5,2033,R1,2022,gas_stove,6.13330000000 +7,2032,R1,2022,heatpump,7.20000000000 +7,2033,R1,2022,heatpump,7.20000000000 +9,2032,R1,2024,gas_stove,8.13330000000 +9,2033,R1,2024,gas_stove,8.13330000000 +9,2034,R1,2024,gas_stove,8.13330000000 +9,2035,R1,2024,gas_stove,8.13330000000 +11,2032,R1,2024,heatpump,9.20000000000 +11,2033,R1,2024,heatpump,9.20000000000 +11,2034,R1,2024,heatpump,9.20000000000 +11,2035,R1,2024,heatpump,9.20000000000 +13,2032,R1,2026,gas_stove,2.13330000000 +13,2033,R1,2026,gas_stove,2.13330000000 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+55,2042,R2,2032,heatpump,12.40000000000 +55,2043,R2,2032,heatpump,12.40000000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2034.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2034.csv new file mode 100644 index 000000000..9ed983815 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Capacity/2034.csv @@ -0,0 +1,161 @@ +asset,year,region,installed,technology,capacity +9,2034,R1,2024,gas_stove,8.13330000000 +9,2035,R1,2024,gas_stove,8.13330000000 +11,2034,R1,2024,heatpump,9.20000000000 +11,2035,R1,2024,heatpump,9.20000000000 +13,2034,R1,2026,gas_stove,2.13330000000 +13,2035,R1,2026,gas_stove,2.13330000000 +13,2036,R1,2026,gas_stove,2.13330000000 +13,2037,R1,2026,gas_stove,2.13330000000 +15,2034,R1,2026,heatpump,3.20000000000 +15,2035,R1,2026,heatpump,3.20000000000 +15,2036,R1,2026,heatpump,3.20000000000 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+cook,5,2022,R2,gas_stove,2020,13.53330000000 +cook,5,2025,R2,gas_stove,2020,14.33330000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2022.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2022.csv new file mode 100644 index 000000000..ed110cc83 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2022.csv @@ -0,0 +1,29 @@ +commodity,asset,year,region,installed,technology,supply +heat,2,2022,R1,2020,gasboiler,15.73330000000 +heat,2,2024,R1,2020,gasboiler,12.00000000000 +heat,3,2022,R1,2020,heatpump,15.73330000000 +heat,3,2024,R1,2020,heatpump,17.46670000000 +heat,3,2027,R1,2020,heatpump,20.06670000000 +heat,7,2024,R1,2022,heatpump,7.20000000000 +heat,7,2027,R1,2022,heatpump,7.20000000000 +heat,10,2022,R2,2020,gasboiler,15.73330000000 +heat,10,2024,R2,2020,gasboiler,12.00000000000 +heat,11,2022,R2,2020,heatpump,15.73330000000 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b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2024.csv new file mode 100644 index 000000000..549c8ae95 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2024.csv @@ -0,0 +1,41 @@ +commodity,asset,year,region,installed,technology,supply +heat,2,2024,R1,2020,gasboiler,12.00000000000 +heat,2,2026,R1,2020,gasboiler,5.00000000000 +heat,3,2024,R1,2020,heatpump,17.46670000000 +heat,3,2026,R1,2020,heatpump,19.20000000000 +heat,3,2029,R1,2020,heatpump,21.80000000000 +heat,7,2024,R1,2022,heatpump,7.20000000000 +heat,7,2026,R1,2022,heatpump,7.20000000000 +heat,7,2029,R1,2022,heatpump,7.20000000000 +heat,11,2026,R1,2024,heatpump,9.20000000000 +heat,11,2029,R1,2024,heatpump,9.20000000000 +heat,14,2024,R2,2020,gasboiler,12.00000000000 +heat,14,2026,R2,2020,gasboiler,5.00000000000 +heat,15,2024,R2,2020,heatpump,17.46670000000 +heat,15,2026,R2,2020,heatpump,19.20000000000 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a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2028.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2028.csv new file mode 100644 index 000000000..65b1faf80 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2028.csv @@ -0,0 +1,53 @@ +commodity,asset,year,region,technology,installed,supply +heat,15,2028,R1,heatpump,2020,20.93330000000 +heat,15,2030,R1,heatpump,2020,22.00000000000 +heat,16,2028,R1,heatpump,2022,7.20000000000 +heat,16,2030,R1,heatpump,2022,7.20000000000 +heat,16,2033,R1,heatpump,2022,7.20000000000 +heat,17,2028,R1,heatpump,2024,9.20000000000 +heat,17,2030,R1,heatpump,2024,9.20000000000 +heat,17,2033,R1,heatpump,2024,9.20000000000 +heat,18,2028,R1,heatpump,2026,3.20000000000 +heat,18,2030,R1,heatpump,2026,3.20000000000 +heat,18,2033,R1,heatpump,2026,3.20000000000 +heat,19,2030,R1,heatpump,2028,22.66670000000 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b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2030.csv new file mode 100644 index 000000000..41ecaddf5 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2030.csv @@ -0,0 +1,57 @@ +commodity,asset,year,region,installed,technology,supply +heat,3,2030,R1,2020,heatpump,22.00000000000 +heat,7,2030,R1,2022,heatpump,7.20000000000 +heat,7,2032,R1,2022,heatpump,7.20000000000 +heat,11,2030,R1,2024,heatpump,9.20000000000 +heat,11,2032,R1,2024,heatpump,9.20000000000 +heat,11,2035,R1,2024,heatpump,9.20000000000 +heat,15,2030,R1,2026,heatpump,3.20000000000 +heat,15,2032,R1,2026,heatpump,3.20000000000 +heat,15,2035,R1,2026,heatpump,3.20000000000 +heat,19,2030,R1,2028,heatpump,22.66670000000 +heat,19,2032,R1,2028,heatpump,24.40000000000 +heat,19,2035,R1,2028,heatpump,25.20000000000 +heat,23,2032,R1,2030,heatpump,10.40000000000 +heat,23,2035,R1,2030,heatpump,10.40000000000 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a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2032.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2032.csv new file mode 100644 index 000000000..e8e1bbb9e --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2032.csv @@ -0,0 +1,57 @@ +commodity,asset,year,region,installed,technology,supply +heat,7,2032,R1,2022,heatpump,7.20000000000 +heat,11,2032,R1,2024,heatpump,9.20000000000 +heat,11,2034,R1,2024,heatpump,9.20000000000 +heat,15,2032,R1,2026,heatpump,3.20000000000 +heat,15,2034,R1,2026,heatpump,3.20000000000 +heat,15,2037,R1,2026,heatpump,3.20000000000 +heat,19,2032,R1,2028,heatpump,24.40000000000 +heat,19,2034,R1,2028,heatpump,25.20000000000 +heat,19,2037,R1,2028,heatpump,25.20000000000 +heat,23,2032,R1,2030,heatpump,10.40000000000 +heat,23,2034,R1,2030,heatpump,10.40000000000 +heat,23,2037,R1,2030,heatpump,10.40000000000 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+cook,53,2034,R2,2032,gas_stove,8.13330000000 +cook,53,2037,R2,2032,gas_stove,8.13330000000 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2034.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2034.csv new file mode 100644 index 000000000..6359da363 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/Results/Residential/Supply/2034.csv @@ -0,0 +1,57 @@ +commodity,asset,year,region,installed,technology,supply +heat,11,2034,R1,2024,heatpump,9.20000000000 +heat,15,2034,R1,2026,heatpump,3.20000000000 +heat,15,2036,R1,2026,heatpump,3.20000000000 +heat,19,2034,R1,2028,heatpump,25.20000000000 +heat,19,2036,R1,2028,heatpump,25.20000000000 +heat,19,2039,R1,2028,heatpump,25.20000000000 +heat,23,2034,R1,2030,heatpump,10.40000000000 +heat,23,2036,R1,2030,heatpump,10.40000000000 +heat,23,2039,R1,2030,heatpump,10.40000000000 +heat,27,2034,R1,2032,heatpump,12.40000000000 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b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/input/GlobalCommodities.csv new file mode 100644 index 000000000..de700a901 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/input/GlobalCommodities.csv @@ -0,0 +1,8 @@ +Commodity,CommodityType,CommodityName,CommodityEmissionFactor_CO2,HeatRate,Unit +Electricity,Energy,electricity,0,1,PJ +Gas,Energy,gas,56.1,1,PJ +Heat,Energy,heat,0,1,PJ +Wind,Energy,wind,0,1,PJ +CO2fuelcomsbustion,Environmental,CO2f,0,1,kt +Solar,Energy,solar,0,1,PJ +Cook,Energy,cook,0,1,PJ \ No newline at end of file diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/input/Projections.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/input/Projections.csv new file mode 100644 index 000000000..9476292a7 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/input/Projections.csv @@ -0,0 +1,40 @@ +RegionName,Attribute,Time,electricity,gas,heat,CO2f,wind,solar,cook +Unit,-,Year,MUS$2010/PJ,MUS$2010/PJ,MUS$2010/PJ,MUS$2010/kt,MUS$2010/kt,MUS$2010/kt,MUS$2010/kt +R1,CommodityPrice,2010,14.81481472,6.6759,100,0,0,0,100 +R1,CommodityPrice,2015,17.89814806,6.914325,100,0.052913851,0,0,100 +R1,CommodityPrice,2020,19.5,7.15275,100,0.08314119,0,0,100 +R1,CommodityPrice,2025,21.93518528,8.10645,100,0.120069795,0,0,100 +R1,CommodityPrice,2030,26.50925917,9.06015,100,0.156998399,0,0,100 +R1,CommodityPrice,2035,26.51851861,9.2191,100,0.214877567,0,0,100 +R1,CommodityPrice,2040,23.85185194,9.37805,100,0.272756734,0,0,100 +R1,CommodityPrice,2045,23.97222222,9.193829337,100,0.35394801,0,0,100 +R1,CommodityPrice,2050,24.06481472,9.009608674,100,0.435139285,0,0,100 +R1,CommodityPrice,2055,25.3425925,8.832625604,100,0.542365578,0,0,100 +R1,CommodityPrice,2060,25.53703694,8.655642534,100,0.649591871,0,0,100 +R1,CommodityPrice,2065,25.32407417,8.485612708,100,0.780892624,0,0,100 +R1,CommodityPrice,2070,23.36111111,8.315582883,100,0.912193378,0,0,100 +R1,CommodityPrice,2075,22.27777778,8.152233126,100,1.078321687,0,0,100 +R1,CommodityPrice,2080,22.25925917,7.988883368,100,1.244449995,0,0,100 +R1,CommodityPrice,2085,22.17592583,7.831951236,100,1.4253503,0,0,100 +R1,CommodityPrice,2090,22.03703694,7.675019103,100,1.606250604,0,0,100 +R1,CommodityPrice,2095,21.94444444,7.524252461,100,1.73877515,0,0,100 +R1,CommodityPrice,2100,21.39814806,7.373485819,100,1.871299697,0,0,100 +R2,CommodityPrice,2010,14.81481472,6.6759,100,0,0,0,100 +R2,CommodityPrice,2015,17.89814806,6.914325,100,0.052913851,0,0,100 +R2,CommodityPrice,2020,19.5,7.15275,100,0.08314119,0,0,100 +R2,CommodityPrice,2025,21.93518528,8.10645,100,0.120069795,0,0,100 +R2,CommodityPrice,2030,26.50925917,9.06015,100,0.156998399,0,0,100 +R2,CommodityPrice,2035,26.51851861,9.2191,100,0.214877567,0,0,100 +R2,CommodityPrice,2040,23.85185194,9.37805,100,0.272756734,0,0,100 +R2,CommodityPrice,2045,23.97222222,9.193829337,100,0.35394801,0,0,100 +R2,CommodityPrice,2050,24.06481472,9.009608674,100,0.435139285,0,0,100 +R2,CommodityPrice,2055,25.3425925,8.832625604,100,0.542365578,0,0,100 +R2,CommodityPrice,2060,25.53703694,8.655642534,100,0.649591871,0,0,100 +R2,CommodityPrice,2065,25.32407417,8.485612708,100,0.780892624,0,0,100 +R2,CommodityPrice,2070,23.36111111,8.315582883,100,0.912193378,0,0,100 +R2,CommodityPrice,2075,22.27777778,8.152233126,100,1.078321687,0,0,100 +R2,CommodityPrice,2080,22.25925917,7.988883368,100,1.244449995,0,0,100 +R2,CommodityPrice,2085,22.17592583,7.831951236,100,1.4253503,0,0,100 +R2,CommodityPrice,2090,22.03703694,7.675019103,100,1.606250604,0,0,100 +R2,CommodityPrice,2095,21.94444444,7.524252461,100,1.73877515,0,0,100 +R2,CommodityPrice,2100,21.39814806,7.373485819,100,1.871299697,0,0,100 \ No newline at end of file diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/settings.toml b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/settings.toml new file mode 100644 index 000000000..fd6f4dcce --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/settings.toml @@ -0,0 +1,142 @@ +# Global settings - most REQUIRED +time_framework = [2020, 2022, 2024, 2026, 2028, 2030, 2032, 2034, 2036, 2038, 2040] +foresight = 2 # Has to be a multiple of the minimum separation between the years in time +regions = ["R1", "R2"] +interest_rate = 0.1 +interpolation_mode = 'Active' +log_level = 'info' + +# Convergence parameters +equilibrium_variable = 'demand' +maximum_iterations = 100 +tolerance = 0.1 +tolerance_unmet_demand = -0.1 + +[[outputs]] +quantity = "prices" +sink = "aggregate" +filename = "{cwd}/{default_output_dir}/MCA{Quantity}.csv" + +[[outputs]] +quantity = "capacity" +sink = "aggregate" +filename = "{cwd}/{default_output_dir}/MCA{Quantity}.csv" + +# Carbon budget control +[carbon_budget_control] +budget = [] + +[global_input_files] +projections = '{path}/input/Projections.csv' +global_commodities = '{path}/input/GlobalCommodities.csv' + + +[sectors.residential] +type = 'default' +priority = 1 +dispatch_production = 'share' + +technodata = '{path}/technodata/residential/Technodata.csv' +commodities_in = '{path}/technodata/residential/CommIn.csv' +commodities_out = '{path}/technodata/residential/CommOut.csv' + +[sectors.residential.subsectors.retro_and_new] +agents = '{path}/technodata/Agents.csv' +existing_capacity = '{path}/technodata/residential/ExistingCapacity.csv' +lpsolver = "scipy" # Optional, defaults to "adhoc" +constraints = [ # Optional, defaults to the constraints below + "max_production", + "max_capacity_expansion", + "demand", + "search_space", +] +demand_share = "new_and_retro" # Optional, default to new_and_retro +forecast = 5 # Optional, defaults to 5 + +[[sectors.residential.outputs]] +filename = '{cwd}/{default_output_dir}/{Sector}/{Quantity}/{year}{suffix}' +quantity = "capacity" +sink = 'csv' +overwrite = true + +[[sectors.residential.outputs]] +filename = '{cwd}/{default_output_dir}/{Sector}/{Quantity}/{year}{suffix}' +quantity.name = "supply" +quantity.sum_over = "timeslice" +quantity.drop = ["comm_usage", "units_prices"] +sink = 'csv' +overwrite = true + +[[sectors.residential.interactions]] +net = 'new_to_retro' +interaction = 'transfer' + + + +[sectors.power] +type = 'default' +priority = 2 +dispatch_production = 'share' + +technodata = '{path}/technodata/power/Technodata.csv' +commodities_in = '{path}/technodata/power/CommIn.csv' +commodities_out = '{path}/technodata/power/CommOut.csv' + +[sectors.power.subsectors.retro_and_new] +agents = '{path}/technodata/Agents.csv' +existing_capacity = '{path}/technodata/power/ExistingCapacity.csv' +lpsolver = "scipy" + +[[sectors.power.outputs]] +filename = '{cwd}/{default_output_dir}/{Sector}/{Quantity}/{year}{suffix}' +quantity = "capacity" +sink = 'csv' +overwrite = true + +[[sectors.power.interactions]] +net = 'new_to_retro' +interaction = 'transfer' + + +[sectors.gas] +type = 'default' +priority = 3 +dispatch_production = 'share' + +technodata = '{path}/technodata/gas/Technodata.csv' +commodities_in = '{path}/technodata/gas/CommIn.csv' +commodities_out = '{path}/technodata/gas/CommOut.csv' + +[sectors.gas.subsectors.retro_and_new] +agents = '{path}/technodata/Agents.csv' +existing_capacity = '{path}/technodata/gas/ExistingCapacity.csv' +lpsolver = "scipy" + + +[[sectors.gas.outputs]] +filename = '{cwd}/{default_output_dir}/{Sector}/{Quantity}/{year}{suffix}' +quantity = "capacity" +sink = 'csv' +overwrite = true + +[[sectors.gas.interactions]] +net = 'new_to_retro' +interaction = 'transfer' + + +[sectors.residential_presets] +type = 'presets' +priority = 0 +consumption_path= "{path}/technodata/preset/*Consumption.csv" + + +[timeslices] +all-year.all-week.night = 1095 +all-year.all-week.morning = 1095 +all-year.all-week.mid-afternoon = 1095 +all-year.all-week.early-peak = 1095 +all-year.all-week.late-peak = 1095 +all-year.all-week.evening = 1095 +all-year.all-week.early-morning = 1095 +all-year.all-week.late-afternoon = 1095 +level_names = ["month", "day", "hour"] diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/Agents.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/Agents.csv new file mode 100644 index 000000000..58de0cfbf --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/Agents.csv @@ -0,0 +1,9 @@ +AgentShare,Name,AgentNumber,RegionName,Objective1,Objective2,Objective3,ObjData1,ObjData2,ObjData3,Objsort1,Objsort2,Objsort3,SearchRule,DecisionMethod,Quantity,MaturityThreshold,Budget,Type +Agent1,A1,1,R1,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,New +Agent2,A1,2,R1,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,Retrofit +Agent1,A2,1,R1,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,New +Agent2,A2,2,R1,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,Retrofit +Agent1,A1,1,R2,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,New +Agent2,A1,2,R2,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,Retrofit +Agent1,A2,1,R2,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,New +Agent2,A2,2,R2,LCOE,,,1,,,FALSE,,,all,singleObj,1,-1,inf,Retrofit diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/CommIn.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/CommIn.csv new file mode 100644 index 000000000..0e85ade1f --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/CommIn.csv @@ -0,0 +1,4 @@ +ProcessName,RegionName,Time,Level,electricity,gas,heat,CO2f,wind +Unit,-,Year,-,PJ/PJ,PJ/PJ,PJ/PJ,kt/PJ,PJ/PJ +gassupply1,R1,2020,fixed,0,0,0,0,0 +gassupply1,R2,2020,fixed,0,0,0,0,0 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/CommOut.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/CommOut.csv new file mode 100644 index 000000000..cc721c761 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/CommOut.csv @@ -0,0 +1,4 @@ +ProcessName,RegionName,Time,Level,electricity,gas,heat,CO2f,wind +Unit,-,Year,-,PJ/PJ,PJ/PJ,PJ/PJ,kt/PJ,PJ/PJ +gassupply1,R1,2020,fixed,0,1,0,0,0 +gassupply1,R2,2020,fixed,0,1,0,0,0 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/ExistingCapacity.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/ExistingCapacity.csv new file mode 100644 index 000000000..3cd9976f8 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/ExistingCapacity.csv @@ -0,0 +1,3 @@ +ProcessName,RegionName,Unit,2020,2025,2030,2035,2040,2045,2050 +gassupply1,R1,PJ/y,15,15,7.5,0,0,0,0 +gassupply1,R2,PJ/y,15,15,7.5,0,0,0,0 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/Technodata.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/Technodata.csv new file mode 100644 index 000000000..541b41014 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/gas/Technodata.csv @@ -0,0 +1,4 @@ +ProcessName,RegionName,Time,Level,cap_par,cap_exp,fix_par,fix_exp,var_par,var_exp,MaxCapacityAddition,MaxCapacityGrowth,TotalCapacityLimit,TechnicalLife,UtilizationFactor,ScalingSize,efficiency,Availabiliy year,InterestRate,Type,Fuel,EndUse,Agent2,Agent1 +Unit,-,Year,-,MUS$2010/PJ_a,-,MUS$2010/PJ,-,MUS$2010/PJ,-,PJ,%,PJ,Years,-,PJ,%,-,-,-,-,-,Retrofit,New +gassupply1,R1,2020,fixed,0,1,0,1,2.55,1,100,5,500,35,0.9,0.00000189,86,1,0.1,energy,gas,gas,1,0 +gassupply1,R2,2020,fixed,0,1,0,1,2.55,1,100,5,60,35,0.9,0.00000189,86,1,0.1,energy,gas,gas,1,0 \ No newline at end of file diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/power/Technodata.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/power/Technodata.csv index db8b526cb..8682478bd 100644 --- a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/power/Technodata.csv +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/power/Technodata.csv @@ -1,14 +1,14 @@ -ProcessName,RegionName,Time,Level,cap_par,cap_exp,fix_par,fix_exp,var_par,var_exp,MaxCapacityAddition,MaxCapacityGrowth,TotalCapacityLimit,TechnicalLife,UtilizationFactor,ScalingSize,efficiency,InterestRate,Type,Fuel,EndUse,Agent2,Agent1 -Unit,-,Year,-,MUS$2010/PJ_a,-,MUS$2010/PJ,-,MUS$2010/PJ,-,PJ,%,PJ,Years,-,PJ,%,-,-,-,-,Retrofit,New -gasCCGT,R1,2020,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,0.1,energy,gas,electricity,1,0 -gasCCGT,R1,2040,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,0.1,energy,gas,electricity,1,0 -windturbine,R1,2020,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 -windturbine,R1,2040,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 -solarPV,R1,2020,fixed,40,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 -solarPV,R1,2040,fixed,30,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 -gasCCGT,R2,2020,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,0.1,energy,gas,electricity,1,0 -gasCCGT,R2,2040,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,0.1,energy,gas,electricity,1,0 -windturbine,R2,2020,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 -windturbine,R2,2040,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 -solarPV,R2,2020,fixed,40,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 -solarPV,R2,2040,fixed,30,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,0.1,energy,wind,electricity,1,0 \ No newline at end of file +ProcessName,RegionName,Time,Level,cap_par,cap_exp,fix_par,fix_exp,var_par,var_exp,MaxCapacityAddition,MaxCapacityGrowth,TotalCapacityLimit,TechnicalLife,UtilizationFactor,ScalingSize,efficiency,Availabiliy year,InterestRate,Type,Fuel,EndUse,Agent2,Agent1 +Unit,-,Year,-,MUS$2010/PJ_a,-,MUS$2010/PJ,-,MUS$2010/PJ,-,PJ,%,PJ,Years,-,PJ,%,-,-,-,-,-,Retrofit,New +gasCCGT,R1,2020,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,1,0.1,energy,gas,electricity,1,0 +gasCCGT,R1,2040,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,1,0.1,energy,gas,electricity,1,0 +windturbine,R1,2020,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 +windturbine,R1,2040,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 +solarPV,R1,2020,fixed,40,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 +solarPV,R1,2040,fixed,30,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 +gasCCGT,R2,2020,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,1,0.1,energy,gas,electricity,1,0 +gasCCGT,R2,2040,fixed,23.78234399,1,0,1,0,1,40,0.2,120,35,0.9,0.00000189,86,1,0.1,energy,gas,electricity,1,0 +windturbine,R2,2020,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 +windturbine,R2,2040,fixed,36.30771182,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 +solarPV,R2,2020,fixed,40,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 +solarPV,R2,2040,fixed,30,1,0,1,0,1,40,0.2,120,25,0.4,0.00000189,86,1,0.1,energy,wind,electricity,1,0 \ No newline at end of file diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/preset/Residential2020Consumption.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/preset/Residential2020Consumption.csv new file mode 100644 index 000000000..d4bab3453 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/preset/Residential2020Consumption.csv @@ -0,0 +1,17 @@ +,RegionName,ProcessName,Timeslice,electricity,gas,heat,CO2f,wind,cook +0,R1,gasboiler,1,0,0,1,0,0,1 +1,R1,gasboiler,2,0,0,1.5,0,0,2 +2,R1,gasboiler,3,0,0,1,0,0,1 +3,R1,gasboiler,4,0,0,1.5,0,0,1.5 +4,R1,gasboiler,5,0,0,3,0,0,2 +5,R1,gasboiler,6,0,0,2,0,0,3 +6,R1,gasboiler,7,0,0,2,0,0,2 +7,R1,gasboiler,8,0,0,2,0,0,3 +8,R2,gasboiler,1,0,0,1,0,0,1 +9,R2,gasboiler,2,0,0,1.5,0,0,1 +10,R2,gasboiler,3,0,0,1,0,0,1 +11,R2,gasboiler,4,0,0,1.5,0,0,1.5 +12,R2,gasboiler,5,0,0,3,0,0,2 +13,R2,gasboiler,6,0,0,2,0,0,2 +14,R2,gasboiler,7,0,0,2,0,0,2.5 +15,R2,gasboiler,8,0,0,2,0,0,2 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/preset/Residential2050Consumption.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/preset/Residential2050Consumption.csv new file mode 100644 index 000000000..f38f9a063 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/preset/Residential2050Consumption.csv @@ -0,0 +1,17 @@ +,RegionName,ProcessName,Timeslice,electricity,gas,heat,CO2f,wind,cook +0,R1,gasboiler,1,0,0,3,0,0,2 +1,R1,gasboiler,2,0,0,4.5,0,0,3 +2,R1,gasboiler,3,0,0,3,0,0,2.5 +3,R1,gasboiler,4,0,0,4.5,0,0,4 +4,R1,gasboiler,5,0,0,9,0,0,6 +5,R1,gasboiler,6,0,0,6,0,0,7 +6,R1,gasboiler,7,0,0,5,0,0,4 +7,R1,gasboiler,8,0,0,5,0,0,4 +8,R2,gasboiler,1,0,0,3,0,0,2 +9,R2,gasboiler,2,0,0,4.5,0,0,3 +10,R2,gasboiler,3,0,0,3,0,0,3 +11,R2,gasboiler,4,0,0,4.5,0,0,4 +12,R2,gasboiler,5,0,0,9,0,0,4 +13,R2,gasboiler,6,0,0,6,0,0,2 +14,R2,gasboiler,7,0,0,5,0,0,1 +15,R2,gasboiler,8,0,0,5,0,0,2 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/CommIn.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/CommIn.csv new file mode 100644 index 000000000..921d5c6d3 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/CommIn.csv @@ -0,0 +1,10 @@ +ProcessName,RegionName,Time,Level,electricity,gas,heat,CO2f,wind,cook +Unit,-,Year,-,PJ/PJ,PJ/PJ,PJ/PJ,kt/PJ,PJ/PJ,PJ/PJ +gasboiler,R1,2020,fixed,0,1.16,0,0,0,0 +heatpump,R1,2020,fixed,0.4,0,0,0,0,0 +gasboiler,R2,2020,fixed,0,1.16,0,0,0,0 +heatpump,R2,2020,fixed,0.4,0,0,0,0,0 +gas_stove,R1,2020,fixed,0,1,0,0,0,0 +gas_stove,R2,2020,fixed,0,1,0,0,0,0 +electric_stove,R1,2020,fixed,1,0,0,0,0,0 +electric_stove,R2,2020,fixed,1,0,0,0,0,0 \ No newline at end of file diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/CommOut.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/CommOut.csv new file mode 100644 index 000000000..9501c50f9 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/CommOut.csv @@ -0,0 +1,10 @@ +ProcessName,RegionName,Time,Level,electricity,gas,heat,CO2f,wind,cook +Unit,-,Year,-,PJ/PJ,PJ/PJ,PJ/PJ,kt/PJ,PJ/PJ,PJ/PJ +gasboiler,R1,2020,fixed,0,0,1,64.71,0,0 +heatpump,R1,2020,fixed,0,0,1,0,0,0 +gasboiler,R2,2020,fixed,0,0,1,64.71,0,0 +heatpump,R2,2020,fixed,0,0,1,0,0,0 +gas_stove,R1,2020,fixed,0,0,0,0,0,1 +gas_stove,R2,2020,fixed,0,0,0,0,0,1 +electric_stove,R1,2020,fixed,0,0,0,0,0,1 +electric_stove,R2,2020,fixed,0,0,0,0,0,1 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/ExistingCapacity.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/ExistingCapacity.csv new file mode 100644 index 000000000..eb86508b2 --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/ExistingCapacity.csv @@ -0,0 +1,9 @@ +ProcessName,RegionName,Unit,2020,2025,2030,2035,2040,2045,2050 +gasboiler,R1,PJ/y,10,5,0,0,0,0,0 +heatpump,R1,PJ/y,0,0,0,0,0,0,0 +gasboiler,R2,PJ/y,10,5,0,0,0,0,0 +heatpump,R2,PJ/y,0,0,0,0,0,0,0 +gas_stove,R1,PJ/y,10,5,0,0,0,0,0 +gas_stove,R2,PJ/y,10,5,0,0,0,0,0 +electric_stove,R1,PJ/y,0,0,0,0,0,0,0 +electric_stove,R2,PJ/y,0,0,0,0,0,0,0 diff --git a/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/Technodata.csv b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/Technodata.csv new file mode 100644 index 000000000..02957a4cb --- /dev/null +++ b/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/residential/Technodata.csv @@ -0,0 +1,10 @@ +ProcessName,RegionName,Time,Level,cap_par,cap_exp,fix_par,fix_exp,var_par,var_exp,MaxCapacityAddition,MaxCapacityGrowth,TotalCapacityLimit,TechnicalLife,UtilizationFactor,ScalingSize,efficiency,Availabiliy year,InterestRate,Type,Fuel,EndUse,Agent2,Agent1 +Unit,-,Year,-,MUS$2010/PJ_a,-,MUS$2010/PJ,-,MUS$2010/PJ,-,PJ,%,PJ,Years,-,PJ,%,-,-,-,-,-,Retrofit,New +gasboiler,R1,2020,fixed,3.8,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,gas,heat,1,0 +heatpump,R1,2020,fixed,8.866667,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,electricity,heat,1,0 +gasboiler,R2,2020,fixed,3.8,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,gas,heat,1,0 +heatpump,R2,2020,fixed,8.866667,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,electricity,heat,1,0 +electric_stove,R1,2020,fixed,3.8,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,gas,cook,1,0 +electric_stove,R2,2020,fixed,3.8,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,gas,cook,1,0 +gas_stove,R1,2020,fixed,8.866667,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,electricity,cook,1,0 +gas_stove,R2,2020,fixed,8.866667,1,0,1,0,1,60,0.5,120,10,1,0.00000189,86,1,0.1,energy,electricity,cook,1,0 \ No newline at end of file diff --git a/docs/user-guide/add-agent.ipynb b/docs/user-guide/add-agent.ipynb index 9cd78cb1d..9f5293415 100644 --- a/docs/user-guide/add-agent.ipynb +++ b/docs/user-guide/add-agent.ipynb @@ -13,7 +13,7 @@ "source": [ "In this section, we will add a new agent called `A2`. This agent will be slightly different to the other agents in the ```default``` example, in that it will make investments based upon a mixture of [levelised cost of electricity (LCOE)](https://en.wikipedia.org/wiki/Levelized_cost_of_energy) and [equivalent annual cost (EAC)](https://en.wikipedia.org/wiki/Equivalent_annual_cost). These two objectives will be combined by calculating a weighted sum of the two when comparing potential investment options. We will give the LCOE a relative weight value of 1 and the EAC a relative weight value of 0.25.\n", "\n", - "We will continue to use the files from the previous tutorial where we added `solarPV` and created a new scenario. \n", + "We will continue to use the files from the previous tutorial where we added `solarPV` and created a new scenario. The full, finished case study can be seen [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/2-add-agent/1-multiple-objective)\n", "\n", "To achieve this, first, we must modify the ```Agents.csv``` file in the directory:\n", "\n", @@ -28,7 +28,7 @@ "\n", "Also notice that we amend the `Quantity` column. The reason for this is that we want to specify that Agent A1 makes up 50% of the population, and A2 makes up the remaining 50% of the population.\n", "\n", - "Again, we only show some of the rows due to space constraints, however see [here INSERT LINK HERE](broken-link) for the full file.\n", + "Again, we only show some of the rows due to space constraints, however see [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/2-add-agent/1-multiple-objective/technodata/Agents.csv) for the full file.\n", "\n", "|AgentShare|Name|RegionName|Objective1|Objective2|Objective3|ObjData1|ObjData2|…|DecisionMethod|Quantity|…|Type|\n", "|-|-|-|-|-|-|-|-|-|-|-|-|-|\n", @@ -243,7 +243,7 @@ }, { "data": { - "image/png": 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\n", 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XlHdvV5GV91SnSlVMGD2B6qrqvH8060dZJR/gTGB9RPwRQNINwIVkiwkW7cr/WsPaLU8PamAP13yMUMegntNK49a338qRE47MOwzrR7kln6OATQWfNwOvKKwg6VLgUoCjjz56yAKbtfdjzJo6jve+4pgh+87hrrsl2RVdRARdpPfooosuCJ7fjgiCeKFuYXk6tnvfxDETc/7JrBjllnx6WlFyn2udiFgMLIZsxdKeTvL5N580+JHxyhKc02zkKrcO583ArILPM4EtOcViZiVUbsnnPmCupDmSxgALgWU5x2RmJVBWl10R0SHp48CtQDVwXUSsyTksMyuBsko+ABHxC+AXecdhZqVVbpddZjZCOPmYWS4UUblP7UpqBR7rZffhwLYhDGegHOfg6ivObRGxYCiDsd5VdPLpi6T6iKjLO47+OM7BVSlxmi+7zCwnTj5mFUjSmZLuSjNAPCLpWkmHpH1vlFQv6eG0798KjnufpAckrZF0fzruNZJWp9cOSRvS9u2l/BnK7lb7IFqcdwBFcpyDq1LiHDBJ04EfAQsj4veSBLwdOFTSS4CvAxdExCOSRpHGQkpaAPx34I0R8USaRWIR0BIRp6U61wM/i4gfl/znGK59PmblStI/AO8lG0S9DVgJPEWWJMYA64H3R8RuSRcDnwc6gaci4rWS/gkgIv6xh3N/B7gjIq7rYd/dwD9GxK/7iO16hij5DOeWj1mvZl/+868Cpw3yaVdvvPqCT/ZVQVIdWSvldLL/fw1kyecnEfGfqc6XgEuA/w38I3B+aqlMTqc5GVjSy1ecDPx7L/tOSt9XFtznYza0Xg3cHBF7IqIN+K9UfrKkuyU9SNYq6p6a4bfA9ZL+imzI0aCQdErq13lU0rsG67wHwy0fG5H6a6GUUE/TxgBcD1wUEfdL+gDwOoCI+IikVwAXAKslnQasAc4Abu7hPN377u9l33zg1xHxIHCapK8D4wb6w7wYbvmYDa3fAG+WNFbSBLKkAnAosFXSaLKWDwCSjo2Ie1L/zjayKWe+DixKSam73vskHQF8GficpHmpvErS36Zq/wL8m6SZBfHkknjALR+zIRUR90laRtYyeQyoJ+ts/gfgnlT2IFkyAviypLlkLaYVwP0REZIWkiWSaUAXcBdZv9GfJH0S+EG69R7Az9N3/0JSLfDLdKfrSeAhslkkhpzvdpkNMUkTImJXSg53AZdGRNl0BA8Vt3zMht5iSScCY4ElIzHxgFs+ZpYTdzibWS6cfIYJSZMlfWyQz3m/pB/sV/blNF7oAUk3FTz4ZnZQnHyGj8nAoCUfSS8l+/fxWknjC3YtB06OiJcBjcAVg/WdNrI4+QwRST+VtDKNJr60oPwSSY2S7pD0n+mhLyTVSrpR0n3p9apU/gVJ16X6f5T0iXSqq4Fj01OrXx6EkN8DfBe4DXhLd2FE3BYR3Uu3/oFseSOzg9e94qNfpX0BU9P7OLJnKw4DjgQ2AlOB0cDdwNdTvf8HvDptHw08nLa/APwOqCGbtW97OnY28FAf3383sLqH1+t7qd8IHAO8AVjWS53/At6X95/tcH0BdwB1B3nM9cCG9HfbQLba5QeAH+xX73CgFajJ6+fzrfah8wlJb03bs4C5wBHAnRGxA0DSj4B5qc7rgROz2RIAmCip+8Gzn0dEO9AuqQWY3t+XR8Rrig1U0suB1oh4TNJm4DpJUyJiZ0Gdvwc6gO8Xe14rrfTgIMDfRcSPJb0B+BbZeLJ/k3RIROxOdd5B9kulPY9Ywc/5DAlJryNLJq+MbJqEO8ie8ehtnA9kl8SvjIg9+50LoPAfTCdF/D2m6RQO7WHXpyNi/0mj3g2cIGlj+jyRbCT2telci4C/AM6N9GvUipP6z5aSXa5WA18kGzbxb2R/j/cBH90/KUj6JvByspbzjyPi86l8I3AdWQv16/t93V3AcRHxtKS7gDcDP0z7FgJfGuyf72A4+QyNScDOlHhOAM5K5fcC/yFpCtBG9h/8wbTvNuDjZGN1kHRaRKzu4zva6Dm5AMW3fCRVARcDL4uIJ1LZ2cD/AK5NE1J9Fvjzgt+ilecLk75KCabU4AtPfbKfOguALRFxAYCkSWSX4edGRGOaj+ejwFf3O+7vI2JHat2skPSyiHgg7Xs2Il6dzlc4Qf6beeHf0w/I+vF+KOlIshZ2r/P6DAV3OA+NW4BRkh4g+033B4D0n/ufycb03A6sJRvnA/AJoC7d0l4LfKSvL4iI7cBvJT30IjucXws80Z14krvILgFnkP12PRRYnjq3/8+L+K6R6EHg9ZL+VdJryPrqNkREY9q/hOzvYH/vlNQArCKbbuPEgn0/3K/ulyWtJpuc7JJU9jPg1ZImAu8kaz11DsLPM2B+wjlnBeN8RgE3kS0RfVPecVnpSJoKvInsF8ptZJ3+r037zgUui4i3pcvzT5PdVFgOvDwidqbZBu+IiOvTZVddRGxLx19PLzMRSvou2S+5jwL/PSJ+X9IftB9u+eTvC+m31ENkdyl+mms0VlLpkmd3RHyPrJ/nz4DZko5LVd4P3LnfYROBZ4CnlM3f/MYBfv0PgL8lu0HxhwGeY9C4zydnEfHpvGOwIXUK2WVRF7CXrBUyCfhRav3eB+xzKRvZBGOryCYD+yPZ7IYDcRvZZd23y+FGgS+7zCwXvuwys1xUdPJZsGBBkM3U5pdfxbysjFR08tm2bVveIZjZAFV08jGzyuXkY2a5cPIxs1yUNPlI2ijpwfQYfn0qmyppuaSm9D6loP4VktZLWifp/FLGZlZuJP3iYGaGlDRb0kNp+zRJbxrg9+7qpfyfJL1+IOcsxlC0fM6OiNMioi59vhxYERFzydYhuhwgzea/kGzcygLgmoIpAsyGvYh4U0Q8OcDDTyMbslE0ZXrNARHxjz3MeDBo8rjsupAXFrlfAlxUUH5DRLRHxAZgPXDm0IdnlerOTXdy0U8vYtPTm/IOpUeSPtM986Sk/5D0q7R9rqTvpSuFw1OL5uE0s+UaSbdJGpfqnqFsbu3fA5elsjHAPwHvSlcZ70ozXn664LsfSuftPvc1ZJONzUr7/11Sg6QVyhYWRNL1kt6RtjdKujLVeTDNzoCk8cpm1rxP0ipJFxb751Hq4RUB3CYpgG9FxGJgekRsBYiIrcpWXAQ4in3Hm2xOZftQNgXppQBHH310KWO3CrOyeSWPtz3OtPHT+q17ypJTvkoJptR4cNGDn+xj/13Ap4D/BdQBNcqWR3412UyTry6oOxd4d0T8laSlZNOtfA/4v8BfR8Sd3bMXRMRzkv6RbIDpxyGbbrePOI4HPhgRH0t1xwMNEfGpdJ7Pk03nsr9tETFf2UIFnwY+DPw98KuI+FC6ZLxX0u0R8Uwf3w+UvuXzqoiYTzYQ7jJJPU0V0K2nibUOeDAsIhZHRF1E1NXW1g5WnDYMrGxZycmHn0xNdU3eofRmJXCGshkp24HfkyWh15Aln0IbCuZvWkk2+HQSMDkiugeefneAcTwWEYW/6Lt4YVqO77FvEiz0k8J40vYbgMvT4Og7yCbJK6pVUNKWT0RsSe8tkm4iu4xqljQjtXpmAC2p+mZSEzCZCWwpZXw2fOzp2MPa7Wv5yxP/sqj6/bRQSiIi9qYpMD5INg/3A8DZwLHAw/tV33+2ynFkv6CLfVK7g30bF2MLtvtrlfT2Hd0xFc6eKeDtEbGuyLieV7KWT7oWPLR7myxDPgQsAxalaouAm9P2MmChpBpJc8ianfeWKj4bXh7a9hAdXR2cMf2MvEPpz11klyx3kbV2PgKsLmaUeeqMfkpSd8vkvQW795/JciMwH0DSfGBOH6euIpvTGbLZDn/TXywFbgX+Wsrm95V0erEHlvKyazrwG0n3kyWRn0fELWRLvJwnqQk4L30mItaQzW27lmzmv8vynmnNKkdDcwNCnHpoX//HysLdwAzg9xHRDDzLgZdcffkg8I3U4Vw4v/evyWabXC3pXcCNwNR0OfRRstVIevMMcJKklcA5ZJ3Xxfoi2eopD6Tb/l8s9sCKnlKjrq4u6uvr8w7DysB/W/7faN2xnp88sgo++juYdkJP1fqasN+GmJ9wtorX0dXB6pbVzO8IOGQqHD6v/4Msd57J0Cpe485GdnfsZv7ObTB3AVT5d2ol8N+SVbxVLasAmN+2E+Z5VE6lcPKxireyeSVHVo/jCKrh2LPzDseK5ORjFS0iWNWyitP3tMPsV0NNr+smWplx8rGKtqltE9v2bGP+09tg3oL+D7Cy4eRjFa2hpQGA+c+2u7+nwjj5WEVraG5gElW8ZPKxMGV23uHYQXDysYq2qrme03fvpsqXXBXHyccq1rY929jYton5z+5xf08FcvKxirW6ZTUAp8cYmPnyfIOxg+bkYxVr5Z/qqYngpGPOgWo/rF9pnHysYq164rec8mw7o49/Y96h2AA4+VhF2r13N4+0Pcb89ufg2HPzDscGwMnHKtL9rffTSTB/0nEwbnLe4dgAOPlYRWp4/NdURXDqsRfkHYoNkJOPVaRVm+7m+Of2MuGlb8k7FBsgJx+rOHu79vLA7ieYz1g4/Li8w7EBcvKxivPInxrYQ3D6tH3nKn/iyT0sX9vMM+0dOUVmB8PJxypOw7ps+aj5J7x9n/I71rXwV9+pZ8czz+URlh0kJx+rOA1b72FWRye1c/cdUtHUvIvxY6o5avK4nCKzg1Hy5COpOq3h/LP0eaqk5ZKa0vuUgrpXSFovaZ0kz49gB4jOTla1b2N+zTSoHr3PvsbmNo6bfihVVV6kohIMRcvnb9h3NcbLgRURMRdYkT4j6URgIXASsAC4RlL1EMRnFWTDo79kZ5WYf+RZB+xrbN7FvGkTcojKBqKkyUfSTOAC4NqC4guBJWl7CXBRQfkNEdEeERuA9WTLK5s9r2HdTQDMP3HhPuU7nnmObbvamTfd06hWilK3fL4KfIZsIfpu0yNiK0B6n5bKjwI2FdTbnMrMnreqdTVTo4pjpp+6T3ljcxsAc6e75VMpSrlW+18ALRGxsthDeig7YDlVSZdKqpdU39ra+qJitArz9BZWdu1m/vhZpKXBn9eUks/xR7jlUylK2fJ5FfAWSRuBG4BzJH0PaJY0AyC9t6T6m4FZBcfPBLbsf9KIWBwRdRFRV1tbW8Lwrdw0r72RJ0aP4vSj//yAfY3Nuzi0ZhRHTBybQ2Q2ECVLPhFxRUTMjIjZZB3Jv4qI9wHLgEWp2iLg5rS9DFgoqUbSHGAucG+p4rPKs2r9LwE44yUHTqHR2NzG3OkTDmgRWfnK4zmfq4HzJDUB56XPRMQaYCmwFrgFuCwiOnOIz8rR3j00PNnIOKo5/rAT9tkVETQ2t7mzucIMyfRvEXEHcEfa3g70OAFLRFwFXDUUMVmF2XA3DWOqOXXSsYyq2vef7bZdz7Fz917mOvlUFD/hbBWh7ZH/onHMaOYf/boD9j3f2ezkU1GcfKz8RbD6sV8REvNnHPjoV/dt9nm+zV5RnHys/DU/xKquNkZRxSmHn3LA7saWXUwaN5raQ2tyCM4GysnHyl/jLawcW8NLp8zjkNGHHLj7T23M852uiuPkY2XvucZbeKhmLKf3cMnVfafLnc2Vx8nHytuuVta0PshzgvnT5x+wu6Wtnaef7XBncwVy8rHy1nQbDWPHABwwcyF4TFclc/Kx8tZ4Cw0TJjFn0hymjp164O7mXQB+wLACOflY+ep4jq5Hf8WqmjHMn3bgJRdknc1Tx4/h8Am+01VpnHysfD32W9ZHO23R0WN/D0BjSxtzPYFYRXLysfLVeAurDskSS0/9PRHB+uZdnkajQg3J2C6zgxYB637JysOOYtrYscycMPOAKlufepa29g7fZq9QbvlYedrWCE8+xqrq4PTpp/f4AOHzwyp82VWRnHysPDXewpZR1fypo633zubnx3S55VOJnHysPK27hYbp2VLIvXY2N+/i8Ak1TBk/Zigjs0Hi5GPlZ/cO2PQHGqYcyYTRE5g7eW6P1Zqa2zj+CF9yVSonHys/61dAdLGKZzl12qlUVx24fFtXV9DUsou503zJVamcfKz8NN7CkxNqWf/ME5wx7Yweqzzx5B52P9fp/p4K5uRj5aVzL6xfzupj6oCen+8BTyA2HDj5WHnZdA88+xQNE6cyumo0p9QeOHkYvDCmy8/4VC4nHysvjbdA9Rga9u7kpMNOoqa65zFbTc1tHDFxLJPGjR7iAG2wOPlYeWm8lWeP+TPW7Hyk11vskMZ0+ZKrohWVfCTdKOkCSUUnK0ljJd0r6X5JayRdmcqnSlouqSm9Tyk45gpJ6yWtk3T+wf84VtG2PwrbGnlw1ql0dHX0+nBhZ1ewvmWXO5srXLHJ5JvAe4AmSVdLOqG/A4B24JyIOBU4DVgg6SzgcmBFRMwFVqTPSDqRbGXTk4AFwDWSDrzHasNX460ANIzL5mk+bdppPVbbtGM3z+7tcmdzhSsq+UTE7RHxXmA+sBFYLul3kj4oqceL7sjsSh9Hp1cAFwJLUvkS4KK0fSFwQ0S0R8QGYD1w4KS9Nnw13gK1J7CqbSPHTT6OSTWTeq72/OyFbvlUsoO5jDoM+ADwYWAV8DWyZLS8j2OqJa0GWoDlEXEPMD0itgKk92mp+lHApoLDN6ey/c95qaR6SfWtra3Fhm/l7tmn4bHf0jn3fFa3ruaM6T0/3wPQ1JLudHlAaUUrts/nJ8DdwCHAmyPiLRHxw4j4a6DXfwER0RkRpwEzgTMlndzX1/R0ih7OuTgi6iKirra2tpjwrRI8ugK6Omg88iSe2ftMr8/3QNbyOWryOA4d6ztdlazY+XyujYhfFBZIqkmXSHX9HRwRT0q6g6wvp1nSjIjYKmkGWasIspbOrILDZgJbiozPKl3jrTBuCg1qB+iz5dPYvMt3uoaBYi+7vtRD2e/7OkBSraTJaXsc8HrgEWAZsChVWwTcnLaXAQsl1UiaA8wF7i0yPqtkXZ3QdBscdx4NrfczY/wMjhh/RI9VOzq7eLTVd7qGgz5bPpKOIOt3GSfpdF64NJpIdgnWlxnAknTHqgpYGhE/k/R7YKmkS4DHgYsBImKNpKXAWqADuCwiOgf4c1kleWIl7N5OzDufhoe/wStmvKLXqo/t2M1zHV3u7xkG+rvsOp+sk3km8JWC8jbgc30dGBEPAAdcuEfEduDcXo65Criqn5hsuFn3S1A1m494KdsatvX6fA9kTzYDnrd5GOgz+UTEErLWy9sj4sYhislGmsZb4Zg/Y+VTTQB9Jp/uMV3HueVT8fq77HpfRHwPmC3pb/ffHxFf6eEws+I9+Ti0rIE3fIlVLauYOGYiL5n8kl6rNza3MWvqOA4Z47UPKl1/Hc7j0/sE4NAeXmYvTnqqmXlvpKG5gfnT5lPVxyiepuZdzPMEYsNCf5dd30rvVw5NODbiNN4CU49l+/gpbHx6I2+d+9Zeq+7t7OKP23Zx9gnTeq1jlaPYhwyXdN82T5+nSLquZFHZyNC+CzbcBfMWsKplFdB3f8/Gbc+wtzM8b/MwUexzPi+LiCe7P0TETnq4k2V2UDbcCZ3PwbzzaWhpoKa6hpMOO6nX6s9PIObLrmGh2ORTtd/UF1Pxaqf2YjXeAjUT4Zg/o6G5gVMOP4XR1b0PmWhsbqNKvtM1XBSbQP4d+J2kH6fPF+PncezF6OrKOpuPO5fdXXt5ZMcjfOjkD/V5SFNLG0dPPYSxoz3TynBQVPKJiO9IWgmcTfaU89siYm1JIys32x/N1g+3wbGtEXY1w7wF3N96P53R2ed4LoB1f2rzsIphpOhLpzT8oRUYCyDp6Ih4vGSRlZtrzsr6J2zwqBqOO49VTT+kSlWcWntqr1XbOzrZuH03bzx5xhAGaKVUVPKR9BayS68jyUahHwM8TDbr4Mhw0Tfd8hlsk2fB+MNoaG7g+CnHM2FM7305G7Y9Q2dXeDT7MFJsy+eLwFnA7RFxuqSzgXeXLqwydMo78o5gWNrbtZcHtj3AW4/r/fkeeOFOly+7ho9i73btTQNCqyRVRcSvyeZlNntRHtn+CHs69vS5UgVkA0qrq8RLasf3Wc8qR7EtnyclTSCbzfD7klrIpr0we1EaWhqAvh8uhKyzefZhh1Azyne6hotiWz4XAnuATwK3AI8Cby5RTDaCNDQ3MOvQWdQe0veUuE1eKmfYKXb1imeAWuBNwA6yicG2lzIwG/4iglUtq/qcrxng2b2dPLb9Ga9WMcwUO7brw2RTmr4NeAfwB0l9PxFm1o8NT29gZ/vOfp/vebR1F12B1+kaZort8/k74PTu1k5aRud3gAeX2oCtas4Gk/bX8mnyna5hqdg+n81kU6d2a2PfNbbMDlpDSwNTx05l9sTZfdZb19zG6Gox+zDf6RpOim35PAHcI+lmXlh19N7u2Q09o6ENRENzA6dPOx2ppyXbXtDU3Macw8czZlTRa1xaBSj2b/NR4Ke8sIjfzcBWPKOhDVDL7hY279rc7y126F6ny//MhptiB5aO+JkMv/3gt+mKrrzDGDY2Pr0RoN+HC/c818mmnbt5+/yZQxCVDaVix3bVAp8hG8s1trs8Is7p45hZwHeAI4AuYHFEfC3NBfRDYDawEXhnmpwMSVcAlwCdwCci4taD/5FK4xurv8Herr15hzGsHDn+SI6fenyfdda37CJ8p2tYKrbP5/tkCeMvgI+QrTTa2s8xHcCnIqJB0qHASknLydYBWxERV0u6HLgc+KykE4GFZAnuSOB2SfPKZeHAe95zT94hDDvVVdV9ThYPWWczwDyv0zXsFJt8DouIb0v6m4i4E7hT0p19HRARW8n6hYiINkkPk61+eiHwulRtCXAH8NlUfkNEtAMbJK0HzqSfZZmHSl8z7FnpNDW3Maa6imOm9rdArlWaogeWpvetki5ISycXfREuaTbZnM/3ANNTYupOUN1LERzFvrfvN6ey/c91qaR6SfWtrf01vqzSNTa38ZLa8Yyq9p2u4abYv9EvSZoEfAr4NHAt2TivfqUBqTcCn4yIp/uq2kPZARPoRMTiiKiLiLra2r7HA1nla2z2mK7hqtjkczGgiHgoIs4GzgP6noAFkDSaLPF8PyJ+koqbJc1I+2eQTU4GWUtnVsHhM4EtRcZnw9Cu9g6eeHKPO5uHqYEunbODfpbOUfbk2LeBh/d7CHEZWYc16f3mgvKFkmokzQHmko0nsxGqqbuz2S2fYanYDucqSVMKbokXs3TOq4D3Aw9KWp3KPgdcDSyVdAnwOFmrqnuO6KXAWrI7ZZeVy50uy4fHdA1vA1k6J4B30s/SORHxG3ruxwE4t5djrurvvDZyNDa3UTOqilm+0zUsHczSOfXAOYzUpXNsyDW27OK4aROorup77JdVpoNZOmct2SWR2ZBoam7jrJcclncYViJ+eMLK0lN79rL1qWfd3zOMOflYWVrf0n2ny7fZhysnHytLXqdr+HPysbLU2NzGuNHVHDV5XN6hWIk4+VhZamrexdzpE6jyna5hy8nHylJjc5svuYY5Jx8rO0/ufo6WtnZ3Ng9zTj5Wdro7mz1v8/Dm5GNlp9EDSkcEJx8rO03NbUyoGcWRk8b2X9kqlpOPlZ3GdKerv/W8rLI5+VjZaWxuY940X3INd04+Vla272pn+zPPMdd3uoY9Jx8rKx5WMXI4+VhZaWrxna6RwsnHykpjcxsTx45i+sSavEOxEnPysbLS+KdsqRzf6Rr+nHysbEQEjS1tfrJ5hHDysbLRuqudJ3fv9ZiuEaJkyUfSdZJaJD1UUDZV0nJJTel9SsG+KyStl7RO0vmlisvKl5fKGVlK2fK5HliwX9nlwIqImAusSJ+RdCKwEDgpHXONpOoSxmZlyGO6RpaSJZ+IuAvYsV/xhcCStL0EuKig/IaIaI+IDcB64MxSxWblqbG5jSmHjObwCWPyDsWGwFD3+UyPiK0A6X1aKj8K2FRQb3MqsxEkG9PlO10jRbl0OPf0ry16rChdKqleUn1ra2uJw7KhEhFp9kJ3No8UQ518miXNAEjvLal8MzCroN5MYEtPJ4iIxRFRFxF1tbW1JQ3Whk7z0+20PdvB8e7vGTGGOvksAxal7UXAzQXlCyXVSJoDzAXuHeLYLEfdnc1+xmfkKHq55IMl6QfA64DDJW0GPg9cDSyVdAnwOHAxQESskbSUbDnmDuCyiOgsVWxWfnyna+QpWfKJiHf3suvcXupfBVxVqnisvDU2t3H4hDFMHe87XSNFuXQ42wjX2LyLuZ5AbERx8rHcRQTrW3Zx/BFOPiOJk4/lbstTz7KrvcOzF44wTj6Wu8Y/ubN5JHLysdw9f6fLfT4jipOP5a6xeRfTDq1h0iGj8w7FhpCTj+WuqaXNnc0jkJOP5aqrK2jybfYRycnHcrV55x727O30gNIRyMnHcuUxXSOXk4/lqrGlO/m45TPSOPlYrpqad3HkpLFMHOs7XSONk4/lqrHZS+WMVE4+lpvOrmxMlzubRyYnH8vN4zt2097R5ZbPCOXkY7nxBGIjm5OP5aap+zb7NF92jUROPpabxuZdzJwyjvE1JZtQ08qYk4/lJlsqx5dcI5WTj+Wio7OLP7Y+44cLRzAnH8vFxu27ea6zy3P4jGC+2O7Hs3s72bxzD5t37ua5ji6qJKqqQAiJ7LNElUDpvarqhc/ihTrP16/i+WN6Xqx1+Pvdo9sAPJXGCFZ2yUfSAuBrQDVwbURcXcrv29vZxZYn97B55x427djNpp27C7b30NrWXsqvH9FGV4tja33ZNVKVVfKRVA18AziPbAnl+yQti4i1Az1nZ1fQ/PSzbNqRksrO3WzakbVkNu/cw9an9tBVsCp8dZU4cvJYZk05hLOPr2XWlEOYNfUQZk4Zx9jR1URAVwRdEQTZygtdkc1L0xUFn7vrBARBV1d32Qt1OqPH5ehHjJlTxjFuTHXeYVhOyir5AGcC6yPijwCSbgAuJFvJtCg7nnmOL9/6CJt2ZIlmy5N72Nv5wn9yCaYfOpZZU8dx5pypzJoyjplTD2HWlCzBzJg0llHV7gozK7VySz5HAZsKPm8GXlFYQdKlwKUARx999AEnGF0tblvTzMyph3DKUZN448kzmDV13PMtmCMnj6VmlH/bmuWt3JJPT72v+1ybRMRiYDFAXV3dAdcth44dzcp/OK800ZnZoCm364vNwKyCzzOBLTnFYmYlVG7J5z5grqQ5ksYAC4FlOcdkZiVQVpddEdEh6ePArWS32q+LiDU5h2VmJVBWyQcgIn4B/CLvOMystMrtssvMRggnHzPLhaKCn7KV1Ao81svuw4FtQxjOQDnOwdVXnNsiYsFQBmO9q+jk0xdJ9RFRl3cc/XGcg6tS4jRfdplZTpx8zCwXwzn5LM47gCI5zsFVKXGOeMO2z8fMyttwbvmYWRlz8jGzXFRM8pE0S9KvJT0saY2kv0nlUyUtl9SU3qek8vMkrZT0YHo/p+BcZ6Ty9ZL+l6RBm0h5AHGeKWl1et0v6a3lGGfBcUdL2iXp0+UYp6TZkvYU/Jn+n6GI0wYgIiriBcwA5qftQ4FG4ETgfwKXp/LLgX9N26cDR6btk4EnCs51L/BKsvmDfgm8Mcc4DwFGFRzbUvC5bOIsOO5G4EfAp8v0z3M28FAv5ypZnH4N4O827wAGHDjcTDbX8zpgRiqbAazroa6A7UBNqvNIwb53A98qkzjnAM1kA37LLk7gIuDLwBe6k0+5xdlb8hnqOP3q/1Uxl12FJM0ma9ncA0yPiK0A6X1aD4e8HVgVEe1kU7VuLti3OZXlFqekV0haAzwIfCQiOsotTknjgc8CV+53eFnFmcyRtErSnZJeM9RxWnHKbkqN/kiaQNb0/2REPN3fZbukk4B/Bd7QXdRDtUF/3uBg4oyIe4CTJL0UWCLpl2UY55XAf0TErv3qlFucW4GjI2K7pDOAn6Z/A0MSpxWvopKPpNFk/wC/HxE/ScXNkmZExFZJ3X0m3fVnAjcBfxkRj6bizWTTs3Yb9KlaDzbObhHxsKRnyPqoyi3OVwDvkPQ/gclAl6Rn0/FlE2dq3ban7ZWSHgXmMQR/nnZwKuayK92Z+DbwcER8pWDXMmBR2l5E1ieApMnAz4ErIuK33ZVTE71N0lnpnH/ZfUxOcc6RNCptHwMcD2wstzgj4jURMTsiZgNfBf45Ir5ebnFKqlW2/huSXgLMBf5Y6jhtAPLudCr2BbyarJn8ALA6vd4EHAasAJrS+9RU/38AzxTUXQ1MS/vqgIeAR4Gvk570zinO9wNrUr0G4KKCc5VNnPsd+wX2vdtVNnGS9e+tAe5Pf55vHoo4/Tr4l4dXmFkuKuayy8yGFycfM8uFk4+Z5cLJx8xy4eRjZrlw8jGzXDj5jGDdD+OZ5cHJp0JI+mL3XDbp81WSPiHp7yTdJ+kBSVcW7P+psnmM1ki6tKB8l6R/knQP2fQSZrlw8qkc3yYNJ5BUBSwkm35jLnAmcBpwhqTXpvofiogzyJ7q/YSkw1L5eLIpJ14REb8ZwvjN9lFRA0tHsojYKGm7pNOB6cAq4OVko/VXpWoTyJLRXWQJp3tWxFmpfDvQSTZI0yxXTj6V5VrgA8ARwHXAucC/RMS3CitJeh3weuCVEbFb0h3A2LT72YjoHKJ4zXrly67KchOwgKzFc2t6fSjNdYOkoyRNAyYBO1PiOQE4K6+AzXrjlk8FiYjnJP0aeDK1Xm5LE5D9Pk2utQt4H3AL8BFJD5BNN/qHvGI2641HtVeQ1NHcAFwcEU15x2P2Yviyq0JIOhFYD6xw4rHhwC0fM8uFWz5mlgsnHzPLhZOPmeXCycfMcuHkY2a5+P+XlcX38/jrXQAAAABJRU5ErkJggg==", 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" ] @@ -274,7 +274,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Next, we will see what occurs if the agents invest based upon the same investment strategy, with both investing using LCOE. This requires us to edit the ```Agents.csv``` file once more, to look like the following:\n", + "Next, we will see what occurs if the agents invest based upon the same investment strategy, with both investing using LCOE. The full finished files can be seen [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/2-add-agent/2-single-objective). This requires us to edit the ```Agents.csv``` file once more, to look like the following:\n", "\n", "|AgentShare|Name|RegionName|Objective1|Objective2|Objective3|ObjData1|ObjData2|…|DecisionMethod|…|Type|\n", "|-|-|-|-|-|-|-|-|-|-|-|-|\n", @@ -308,7 +308,7 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] diff --git a/docs/user-guide/add-gdp-correlation-demand.ipynb b/docs/user-guide/add-gdp-correlation-demand.ipynb index 9b10fcfc0..3182bf14d 100644 --- a/docs/user-guide/add-gdp-correlation-demand.ipynb +++ b/docs/user-guide/add-gdp-correlation-demand.ipynb @@ -33,7 +33,7 @@ "source": [ "For this work, we will use the `default` example from the MUSE repository, and will not build on the previous examples. This is done to simplify the model at this point.\n", "\n", - "The full scenario files for the `default` example can be found [here INSERT LINK HERE](dead-link). We recommend that you download these files and save them to a location convenient to you, as we will be amending these throughout this tutorial.\n", + "The full scenario files for the `default` example can be found [here](https://github.com/SGIModel/MUSE_OS/tree/main/src/muse/data/example/default). We recommend that you download these files and save them to a location convenient to you, as we will be amending these throughout this tutorial.\n", "\n", "Similarly to before, we must amend the `preset` folder for this. However, we no longer require the `Residential2020Consumption.csv` and `Residential2050Consumption.csv` files. These files set the exogenous service demand for the residential sector.\n", "\n", @@ -47,11 +47,11 @@ "\n", "The example files for each of those just mentioned can be found below, respectively:\n", "\n", - "- [Macrodrivers.csv](dead-link)\n", + "- [Macrodrivers.csv](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/6-add-correlation-demand/technodata/preset/Macrodrivers.csv)\n", "\n", - "- [regressionparameters.csv](dead-link)\n", + "- [regressionparameters.csv](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/6-add-correlation-demand/technodata/preset/regressionparameters.csv)\n", "\n", - "- [TimesliceSharepreset.csv](dead-link)\n", + "- [TimesliceSharepreset.csv](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/6-add-correlation-demand/technodata/preset/TimesliceSharepreset.csv)\n", "\n", "For a full introduction to these files, see the link [here](../inputs/correlation_files.rst).\n", "\n", @@ -107,7 +107,7 @@ "\n", "To ensure that we don't encounter any problems, we will relax our capacity constraints considerably.\n", "\n", - "For the full files see [here](dead-link). Make sure to take note of the columns:\n", + "For the full files see [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/6-add-correlation-demand). Make sure to take note of the columns:\n", "\n", "- MaxCapacityAddition\n", "\n", @@ -268,7 +268,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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AP85ZmFkhsBy4BlgH/IRw8nguJpENU+5OeVWIU6cXkpWeGu9wRESAyM9Z/Bb4byAH+Jy7n+fuv3b3bwB5sQxwuNlS00D1nv3qghKRISXSu71+7u5/6l5gZpnu3uzuvU1uJANUVhm+ZFZDfIjIUBJpN9QPeyl7OZqBSFh5ZQ2zxuUzcWR2vEMREely2JaFmY0DJgLZZjYf6LyOs4Bwl5REUV1TK6u37eaa06fGOxQRkR766oY6h/BJ7UnAXd3K64HvxCimYevFTbto63DdtS0iQ85hk4W7PwQ8ZGafd/cnBymmYausMkRBVhonTh4Z71BERHroqxvqr9z9UWCKmf3dge+7+129bCYD0NHhVLxdwxkzi0lL1Y3yIjK09NUN1TkwkS6PjbENO+qoqW/WXNsiMiT11Q3178HzLYMTzvBVXhXCDJZoSHIRGYIivSnvITMb2e31KDN7IHZhDT9llSHmThpJUV5mvEMRETlIpJ3jc919b+cLd98DzI9NSMNPbUMzr1Xv5Ux1QYnIEBVpskgxs1GdL8xsNJHf/S19WPF2De6wbJa6oERkaIr0gP+vwEtm9kTw+mLg9tiENPyUV9VQlJfJnAkj4h2KiEivIkoW7v6wma0FlhG+i/sid98Y08iGibb2DlZUhfjkceNISdFERyIyNEXcleTuG8ysBsgCMLPJ7v5ezCIbJtZt30tdU5sumRWRIS3Sq6HOM7NNwDvACsITID0Tw7iGjbLKEKkpxukzi+IdiojIIUV6gvs24GTgbXcvAc4CXoxZVMNIeWWI0qNHUZClCQdFZOiKNFm0unst4auiUty9HJgXw7iGhR1791P5Qb0GDhSRIS/ScxZ7zSyP8Gx5j5lZCGiLXVjDQ0VVDYBmxRORIS/SlsX5wH7gW8B/AVuAz8UqqOGirDLExJHZzBijobdEZGiLKFm4eyNQDHwa2A08HnRLyQA1t7Xz4uZdLJtVjJkumRWRoS3Sq6GuAVYBFwFfAF4xs6sj3DbVzNaZ2R+C16PN7Dkz2xQ8d78z/EYz22xmVWZ2TrfyBWb2RvDe3ZYER9dV7+xmf2u7zleISEKItBvq28B8d1/u7lcCC4DrI9z2m8Bb3V7fADzv7jOA54PXmNls4BLgOOBc4B4zSw22uRe4FpgRPM6N8LuHrLLKEJlpKSyeqktmRWToizRZVBOeSrVTPbC9r43MbBLwGeDn3YrPBx4Klh8CLuhW/it3b3b3d4DNwEIzGw8UuPvL7u7Aw922SVgVVTUsnlZIdkZq3yuLiMRZpFdDvQ+8amZPAU74wL6qc/a8w8yY92PgH4H8bmVj3X1nsN1OM+vsh5kIvNJtveqgrDVYPrD8IGZ2LeEWCJMnT46waoPvnV2NvLOrkeWnTIl3KCIiEYm0ZbEF+B3hRAHwFLCTcBLI720DM/ssEHL3tRF+R2/nIfww5QcXut/n7qXuXlpcPHRHcC2vDAFoiA8RSRiRDiQ4kJnyTgXOM7NPEx5PqsDMHgU+NLPxQatiPBAK1q8Gjuq2/SRgR1A+qZfyhFVeFWJacS6TC3PiHYqISEQivRqq2MzuNLM/mVlZ5+Nw27j7je4+yd2nED5xXebufwU8DVwZrHYl4VYKQfklZpZpZiWET2SvCrqs6s3s5OAqqCu6bZNwGpvbeHXrbl0FJSIJJdJuqMeASqAEuIXwQIKrB/iddwBnBwMTnh28xt03AI8DGwnf+Pc1d28Ptvkq4ZPkmwl3iSXsIIYvbt5FS3uHuqBEJKFEeoK70N3vN7NvuvsKYIWZrYj0S9y9AqgIlmsJD0TY23q308ukSu6+BpgT6fcNZeVVNeRlplE6ZXS8QxERiVikyaI1eN5pZp8hfM5g0mHWl164OxVVIU6bXkRGWqSNOhGR+Is0WfzQzEYAfw/8FCggPE6U9EPlB/Xs/KiJb31i6F6pJSLSm0h/3l4MmLu/6e7LCJ9ruDB2YSWnsuCS2aU6XyEiCSbSZDHX3fd2vnD33cD82ISUvCqqQhw3oYCxBVnxDkVEpF8iTRYpBwz4N5p+zN8tsHdfC2vf3aNLZkUkIUV6wP9X4CUze4Lw3dNfpJerluTQVm7aRYerC0pEElOkd3A/bGZrgDMJD79xkbtvjGlkSaa8MsSonHTmHTUy3qGIiPRbxF1JQXJQghiA9g5nxds1LJlZTGpKwk/FISLDkC72HwSvVe9ld2OL5toWkYSlZDEIKipDpBgsman7K0QkMSlZDIKyqhAnTh7FyJyMeIciIjIgShYxFqpr4s3369QFJSIJTckixirergE00ZGIJDYlixgrrwwxriCLY8f3OqGgiEhCULKIodb2Dv570y6WzSomPG+TiEhiUrKIodXbdtPQ3Ka7tkUk4SlZxFBFVQ3pqcZp04viHYqIyBFRsoihssoQi0oKyc3UmIsiktiULGJk++59bA416JJZEUkKShYxUl4Vnuho2TG6a1tEEp+SRYyUV4aYUpjD1OK8eIciInLElCxiYH9LOy9tqdVVUCKSNJQsYuCVrbU0t3XofIWIJA0lixgoqwyRnZ7KopLR8Q5FRCQqlCyizN0prwpx6vRCstJT4x2OiEhUKFlE2eZQA9V79qsLSkSSipJFlHVeMquT2yKSTJQsoqysMsSscflMHJkd71BERKJGySKK6ppaWbNtj1oVIpJ0lCyi6IVNu2jrcM7U+QoRSTJKFlFUXhmiICuNEyePjHcoIiJRpWQRJR0dTnlVDWfMLCYtVX9WEUkuOqpFyYYddexqaNZc2yKSlJQsoqS8KoQZLNEosyKShJQsoqSsMsTcSSMpysuMdygiIlEXs2RhZkeZWbmZvWVmG8zsm0H5aDN7zsw2Bc+jum1zo5ltNrMqMzunW/kCM3sjeO9uM7NYxT0QtQ3NvFa9lzPVBSUiSSqWLYs24O/d/VjgZOBrZjYbuAF43t1nAM8HrwneuwQ4DjgXuMfMOgdXuhe4FpgRPM6NYdz9tuLtGtxh2Sx1QYlIcopZsnD3ne7+P8FyPfAWMBE4H3goWO0h4IJg+XzgV+7e7O7vAJuBhWY2Hihw95fd3YGHu20zJJRX1VCUl8mcCSPiHYqISEwMyjkLM5sCzAdeBca6+04IJxSgs+9mIrC922bVQdnEYPnA8iGhrb2DFVUhlh5TTErKkOodExGJmpgnCzPLA54EvuXudYdbtZcyP0x5b991rZmtMbM1NTU1/Q92ANZt30tdU5vu2haRpBbTZGFm6YQTxWPu/tug+MOga4ngORSUVwNHddt8ErAjKJ/US/lB3P0+dy9199Li4sE5f1BWGSI1xThtRtGgfJ+ISDzE8mooA+4H3nL3u7q99TRwZbB8JfBUt/JLzCzTzEoIn8heFXRV1ZvZycFnXtFtm7grrwxRevQoCrLS4x2KiEjMxLJlcSrwJeBMM1sfPD4N3AGcbWabgLOD17j7BuBxYCPwX8DX3L09+KyvAj8nfNJ7C/BMDOOO2I69+6n8oF5dUCKS9NJi9cHu/gK9n28AOOsQ29wO3N5L+RpgTvSii46KqvB5Ec2KJyLJTndwH4GyyhATR2YzY0xevEMREYkpJYsBam5r58XNu1g2q5ghdkO5iEjUKVkM0Ktbd7O/tV3nK0RkWFCyGKDyqhCZaSksnqpLZkUk+SlZDFB5ZYjF0wrJzkjte2URkQSnZDEA7+xqZFvtPk10JCLDhpLFAJRVhm86V7IQkeFCyWIAKqpCTCvOZXJhTrxDEREZFEoW/dTY3MarW3frKigRGVaULPrpxc27aGnvUBeUiAwrShb9VF5VQ15mGqVTRsc7FBGRQROzsaGSkbtTURXitOlFZKQpz4pEU2trK9XV1TQ1NcU7lGEhKyuLSZMmkZ4e2YjZShb9UPlBPTs/auJvP6EuKJFoq66uJj8/nylTpmgInRhzd2pra6murqakpCSibfTzuB86L5ldeszgTKwkMpw0NTVRWFioRDEIzIzCwsJ+teKULPqhoirEnIkFjCnIincoIklJiWLw9PdvrWQRob37Wlj77h5dBSUiw5KSRYRWbtpFh8NSJQuRpLR3717uueeeAW27fPlynnjiiajEsXTpUtasWROVz4omJYsIlVeGGJWTzryjRsY7FBGJgSNJFsOBkkUE2jucFW/XsGRmMakp6lMVSUY33HADW7ZsYd68eXz729/mzjvv5KSTTmLu3LncdNNNXes9/PDDzJ07lxNOOIEvfelLXeUrV67klFNOYerUqV2tjIqKCpYuXcoXvvAFZs2axeWXX467A/D8888zf/58jj/+eK6++mqam5sPiumXv/wlxx9/PHPmzOH666/vKr///vuZOXMmS5cu5ctf/jJf//rXqa+vp6SkhNbWVgDq6uqYMmVK1+sjpWQRgdeq97K7sUVzbYsksTvuuINp06axfv16zj77bDZt2sSqVatYv349a9euZeXKlWzYsIHbb7+dsrIyXnvtNX7yk590bb9z505eeOEF/vCHP3DDDTd0la9bt44f//jHbNy4ka1bt/Liiy/S1NTE8uXL+fWvf80bb7xBW1sb9957b494duzYwfXXX09ZWRnr169n9erV/O53v2PHjh3cdtttvPLKKzz33HNUVlYCkJ+fz9KlS/njH/8IwK9+9Ss+//nPR3wfRV+ULCJQURkixWDJTF0yKzIcPPvsszz77LPMnz+fE088kcrKSjZt2kRZWRlf+MIXKCoKT3o2evTHIzlccMEFpKSkMHv2bD788MOu8oULFzJp0iRSUlKYN28e27Zto6qqipKSEmbOnAnAlVdeycqVK3vEsHr1apYuXUpxcTFpaWlcfvnlrFy5klWrVrFkyRJGjx5Neno6F198cdc211xzDQ8++CAADz74IFdddVXU/ia6KS8CZVUhTpw8ipE5GfEORUQGgbtz44038jd/8zc9yu++++5DXnKamZnZY/veylNTU2lra+vx/uFi6E85wKmnnsq2bdtYsWIF7e3tzJkzp8/viZRaFn0I1TXx5vt16oISSXL5+fnU19cDcM455/DAAw/Q0NAAwPvvv08oFOKss87i8ccfp7a2FoDdu3cP6LtmzZrFtm3b2Lx5MwCPPPIIS5Ys6bHOokWLWLFiBbt27aK9vZ1f/vKXLFmyhIULF7JixQr27NlDW1sbTz75ZI/trrjiCi699NKotipALYs+VVTVAJroSCTZFRYWcuqppzJnzhw+9alPcdlll7F48WIA8vLyePTRRznuuOP47ne/y5IlS0hNTWX+/Pn84he/6Pd3ZWVl8eCDD3LxxRfT1tbGSSedxFe+8pUe64wfP54f/ehHLFu2DHfn05/+NOeffz4A3/nOd1i0aBETJkxg9uzZjBgxomu7yy+/nO9973tceumlA/9j9MIiaQ4lotLSUo/GtcpffXQt697by8s3nqm7S0Vi6K233uLYY4+NdxgJoaGhgby8PNra2rjwwgu5+uqrufDCCwF44okneOqpp3jkkUf6/Jze/uZmttbdSw9cVy2Lw2hp6+C/N+3icyeMV6IQkSHj5ptv5i9/+QtNTU188pOf5IILLgDgG9/4Bs888wx/+tOfov6dShaHsebd3TQ0t+mubREZUv7lX/6l1/Kf/vSnMftOneA+jPLKEOmpxmnTi+IdiohIXClZHEZ5VQ2LSgrJzVQDTESGNyWLQ9i+ex+bQw26ZFZEBCWLQyqvCk90tEwTHYmIKFkcSnlliCmFOUwtzot3KCIiAGzbtq3Pu7IrKytZvHgxmZmZhzwRPhDqjO/F/pZ2XtpSy6ULJ8c7FBGRfhk9ejR33303v/vd76L6uUoWvXhlay3NbR2cqfMVInFxy+83sHFHXVQ/c/aEAm763HGHXee2227jscce46ijjqKoqIgFCxYwYsQI7rvvPlpaWpg+fTqPPPIIOTk5/OY3v+GWW24hNTWVESNGdI1Ke9VVV9HS0kJHRwdPPvkk6enpfPazn+XNN98Ewpe9NjQ0cPPNN7N06VLmzZvHqlWrqKur44EHHmDhwoXcfPPNbNmyhffff5/t27fzj//4j3z5y1/uEevpp5/OT3/6U+bNmweEx4W69957mTt3LmPGjOkafTZa1A3Vi7LKENnpqSwsGd33yiKSFNasWcOTTz7JunXr+O1vf9s1W91FF1HBTywAAApCSURBVF3E6tWree211zj22GO5//77Abj11lv585//zGuvvcbTTz8NwL/927/xzW9+k/Xr17NmzRomTZrU5/c2Njby0ksvcc8993D11Vd3lb/++uv88Y9/5OWXX+bWW29lx44dPba75ppruoYaefvtt2lubmbu3LnR+FP0Si2LA7g75VUhTp1eSFZ6arzDERmW+moBxMILL7zA+eefT3Z2NgCf+9znAHjzzTf53ve+x969e2loaOCcc84Bwr/kly9fzhe/+EUuuugiABYvXsztt99OdXU1F110ETNmzOjzezvHcDrjjDOoq6tj7969AF2xZGdns2zZMlatWtXVigC4+OKLue2227jzzjt54IEHWL58edT+Fr1JmJaFmZ1rZlVmttnMbuh7i4HZHGqges9+XTIrMswcapy85cuX87Of/Yw33niDm266iaamJiDcivjhD3/I9u3bmTdvHrW1tVx22WU8/fTTZGdnc84551BWVkZaWhodHR1dn9e5facDhxLqfH2o8k45OTmcffbZPPXUUzz++ONcdtllA6t4hBIiWZhZKvB/gU8Bs4FLzWx2LL6r85JZDfEhMrycdtpp/P73v6epqYmGhoauPv/6+nrGjx9Pa2srjz32WNf6W7ZsYdGiRdx6660UFRWxfft2tm7dytSpU7nuuus477zzeP311xk7diyhUIja2lqam5v5wx/+0ON7f/3rXwPhls2IESO6RpB96qmnaGpqora2loqKCk466aSDYr7mmmu47rrrOOmkk3pMxBQLidINtRDY7O5bAczsV8D5wMZof1FZZYhZ4/KZODI72h8tIkPYSSedxHnnnccJJ5zA0UcfTWlpKSNGjOC2225j0aJFHH300Rx//PFdc158+9vfZtOmTbg7Z511FieccAJ33HEHjz76KOnp6YwbN44f/OAHpKen84Mf/IBFixZRUlLCrFmzenzvqFGjOOWUU7pOcHdauHAhn/nMZ3jvvff4/ve/z4QJE9i2bVuPbRcsWEBBQUGPuSs++OADSktLqaurIyUlpWtK14KCgiP7A7n7kH8AXwB+3u31l4Cf9bLetcAaYM3kyZO9vzo6OvzW32/w/7dyS7+3FZEjs3HjxniH4PX19e7u3tjY6AsWLPC1a9fG9PuWLFniq1evPqj8pptu8jvvvLPP7d9//32fMWOGt7e3D+j7e/ubA2u8l+NworQsehsf/KAORne/D7gPwvNZ9PtLzPj+Z2PSuyUiCeDaa69l48aNNDU1ceWVV3LiiSfGO6RDevjhh/nud7/LXXfdRUpK7M8oJMTkR2a2GLjZ3c8JXt8I4O4/OtQ20Zr8SEQGhyY/Gnz9mfwoIU5wA6uBGWZWYmYZwCXA03GOSUSiLBF+vCaL/v6tEyJZuHsb8HXgz8BbwOPuviG+UYlINGVlZVFbW6uEMQjcndraWrKysiLeJlHOWeDufwKiP1egiAwJkyZNorq6mpqamniHMixkZWVFdId5p4RJFiKS3NLT0ykpKYl3GHIICdENJSIi8aVkISIifVKyEBGRPiXEfRYDYWY1wLsD3LwI2BXFcOIpWeqSLPUA1WWoSpa6HGk9jnb3g+aTTtpkcSTMbE1vN6UkomSpS7LUA1SXoSpZ6hKreqgbSkRE+qRkISIifVKy6N198Q4gipKlLslSD1BdhqpkqUtM6qFzFiIi0ie1LEREpE9KFiIi0qdhkSzM7CgzKzezt8xsg5l9MygfbWbPmdmm4HlUUH62ma01szeC5zO7fdaCoHyzmd1tB86inlh1qTCzKjNbHzwGbeLxAdRjYbc4XzOzC7t9VqLtk8PVJW77ZCB16bbdZDNrMLN/6FaWUPulj7ok0v+VKWa2v1us/9btswa+T3qbPi/ZHsB44MRgOR94G5gN/DNwQ1B+A/BPwfJ8YEKwPAd4v9tnrQIWE5697xngUwlclwqgNEH2SQ6Q1m3bULfXibZPDleXuO2TgdSl23ZPAr8B/qFbWULtlz7qkkj/V6YAbx7iswa8T+LyDzLeD+Ap4GygChjfbYdU9bKuAbVAZrBOZbf3LgX+PRHrEryO64HpCOpRAnxIeNTkRN8nXXUZavsk0roAFwB3Ajd3HmATdb/0Vpehtl/6qsehksWR7pNh0Q3VnZlNIfxr+1VgrLvvBAiee2tafh5Y5+7NwESgutt71UFZXBxhXTo9GDRVvz/Y3QSdIq2HmS0ysw3AG8BXPDwpVkLuk0PUpVPc9wlEVhczywWuB245YPOE2y+HqUunuO+XfvyfLzGzdWa2wsxOD8qOaJ8Mq2RhZnmEm5jfcve6CNY/Dvgn4G86i3pZLS7XHkehLgCXu/vxwOnB40uxiLWPuCKuh7u/6u7HAScBN5pZFgm6Tw5RFxgC+wT6VZdbgP/j7g0HfkQv6w71/XKousAQ2C/9qMdOYLK7zwf+DvgPMyvgCPfJsEkWZpZO+A/9mLv/Nij+0MzGB+939h13rj8J+E/gCnffEhRXA92nlpoE7Ih17AeKUl1w9/eD53rgP4CFg1ODrrj6VY9O7v4W0Ej4HExC7pNOB9Ql7vsE+l2XRcA/m9k24FvAd8zs6yTmfjlUXeK+X/pTD3dvdvfaYHktsAWYyRHuk2GRLIIm4/3AW+5+V7e3ngauDJavJNwXiJmNBP4I3OjuL3auHDT16s3s5OAzr+jcZrBEqy5mlmZmRcFyOvBZ4M3Y16Dr+/tbjxIzSwuWjwaOAbYl6D7ptS7x3ifB9/arLu5+urtPcfcpwI+B/+3uP0vE/XKousR7vwzg31exmaUGy1OBGcDWI94n8T5ZMxgP4DTCza3XgfXB49NAIfA8sCl4Hh2s/z3Cv/bWd3uMCd4rJfwPZQvwM4K74BOtLkAusDb4nA3AT4DUIVyPLwVxrgf+B7ig22cl2j7ptS7x3icDqcsB295Mz5PCCbVfDlWXeO+XAfz7+nwQ52vBv6/PRWOfaLgPERHp07DohhIRkSOjZCEiIn1SshARkT4pWYiISJ+ULEREpE9KFiIi0iclC5EhqvPGKpGhQMlCJArM7DYL5hkIXt9uZteZ2bfNbLWZvW5mt3R7/3cWnl9kg5ld2628wcxuNbNXCQ8lLTIkKFmIRMf9BEMvmFkKcAnhocdnEB5HaB6wwMzOCNa/2t0XEL6j9jozKwzKcwkPL73I3V8YzAqIHE5avAMQSQbuvs3Mas1sPjAWWEd4RNlPBssAeYSTx0rCCaJzhryjgvJaoJ3wgHEiQ4qShUj0/BxYDowDHgDOAn7k7v/efSUzWwp8Aljs7vvMrALoHKK8yd3bBytgkUipG0okev4TOJdwi+LPwePqYB4CzGyiheduHgHsCRLFLODkeAUsEim1LESixN1bzKwc2Bu0Dp41s2OBl4OJ1RqAvwL+C/iKmb1OeGrMV+IVs0ikNOqsSJQEJ7b/B7jY3TfFOx6RaFI3lEgUmNlsYDPwvBKFJCO1LEREpE9qWYiISJ+ULEREpE9KFiIi0iclCxER6ZOShYiI9On/A6J1/oTxfhW5AAAAAElFTkSuQmCC", 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\n", + "image/png": 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", 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\n", 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", 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" ] diff --git a/docs/user-guide/add-region.ipynb b/docs/user-guide/add-region.ipynb index cef95e740..ffaaa6a20 100644 --- a/docs/user-guide/add-region.ipynb +++ b/docs/user-guide/add-region.ipynb @@ -19,7 +19,7 @@ "\n", "The process to change the input files, however, takes a bit more time. To achieve this, there must be data for each of the sectors for the new region. This, therefore, requires the modification of every [input file](../inputs/index.rst).\n", "\n", - "Due to space constraints, we will not show you how to edit all of the files. However, you can access the modified files [here INSERT LINK HERE](github-link)." + "Due to space constraints, we will not show you how to edit all of the files. However, you can access the modified files [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/3-add-region)." ] }, { @@ -32,7 +32,7 @@ "\n", "We have placed two examples as to how to edit the residential sector below. Again, the edited data are highlighted in **bold**, with the original data in normal text. \n", "\n", - "For the sake of brevity, we have omitted the entries for 2040 for the `CommIn.csv` file, however, just make sure to copy and paste the values for 2020 to 2040 here. The full file can be seen [here INSERT LINK HERE](dead-link). \n", + "For the sake of brevity, we have omitted the entries for 2040 for the `CommIn.csv` file, however, just make sure to copy and paste the values for 2020 to 2040 here. The full file can be seen [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/3-add-region/technodata/residential/CommIn.csv). \n", "\n", "The following file is the modified ```/technodata/residential/CommIn.csv``` file:\n", "\n", @@ -70,7 +70,7 @@ "|solarPV|R2|2020|…|2|0.02|60|…|1|\n", "|...|...|...|...|...|...|...|...|...|\n", "\n", - "Now, go ahead and amend all of the other input files for each of the sectors by copying and pasting the rows from `R1` and replacing the `RegionName` to `R2` for the new rows. All of the edited input files can be seen [here INSERT LINK HERE](dead-link)." + "Now, go ahead and amend all of the other input files for each of the sectors by copying and pasting the rows from `R1` and replacing the `RegionName` to `R2` for the new rows. All of the edited input files can be seen [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/3-add-region)." ] }, { @@ -105,7 +105,7 @@ }, { "data": { - "image/png": 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\n", 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", 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\n", + "image/png": 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", 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\n", 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", 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" ] diff --git a/docs/user-guide/add-solar.ipynb b/docs/user-guide/add-solar.ipynb index 3961a58e9..d107aabee 100644 --- a/docs/user-guide/add-solar.ipynb +++ b/docs/user-guide/add-solar.ipynb @@ -155,7 +155,7 @@ "source": [ "Here, we will only define the parameters: ```processName```, ```RegionName```, ```Time```, ```Level```,```cap_par```, ```Fuel```,```EndUse```,```Agent2``` and ```Agent1```\n", "\n", - "We shall copy the existing parameters from the ```windturbine``` technology for the remaining parameters that can be seen in the ```technodata.csv``` file for brevity. You can see the full file [here INSERT LINK HERE](here).\n", + "We shall copy the existing parameters from the ```windturbine``` technology for the remaining parameters that can be seen in the ```technodata.csv``` file for brevity. You can see the full file [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/1-add-new-technology/1-introduction/technodata/power/Technodata.csv).\n", "\n", "Again, flat forward extension is used here. Therefore, as in this example we only provide data for the benchmark year 2020, 2025 and the following benchmark years will keep the same characteristics, e.g. costs, for each benchmark year of the simulation." ] @@ -189,7 +189,7 @@ "{muse_installation_location}src/muse/data/example/default/input\n", "```\n", "\n", - "We must now edit each of the files found here to add the new solar commodity. Due to space constraints we will not display all of the entries contained in the input files. The edited files can be viewed [here INSERT LINK HERE](here) however." + "We must now edit each of the files found here to add the new solar commodity. Due to space constraints we will not display all of the entries contained in the input files. The edited files can be viewed [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/1-add-new-technology) however." ] }, { @@ -438,7 +438,7 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] @@ -515,7 +515,7 @@ "|solarPV|R1|2020|fixed|0|0|0|0|0|1|\n", "|**solarPV**|**R1**|**2040**|**fixed**|**0**|**0**|**0**|**0**|**0**|**1**|\n", "\n", - "We must do the same for the `CommOut.csv` file. For the sake of brevity we won't show you this, but the link to the file can be found [here INSERT LINK HERE](dead-link).\n", + "We must do the same for the `CommOut.csv` file. For the sake of brevity we won't show you this, but the link to the file can be found [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/1-add-new-technology/2-scenario/technodata/power/CommOut.csv).\n", "\n", "We will now rerun the simulation, using the same command as previously and visualise the new results." ] @@ -544,7 +544,7 @@ }, { "data": { - "image/png": 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R/1mOzL2lbt26LF26lJkzZ/Lkk0/Svn37sy7z559/MmzYMH799VcqVKhAnz59OHbsWObnpUuXPmn+V1999bThE0NDQ7nmmmuYNm0aEydOZMSIEQXTIGMCjSp8/z9YOAwuuwk6fwjFiv65Mq8d8YtISRFZIiK/icgaEXnOM72iiMwRkY2eZ/+oY5qNbdu2UapUKXr06MGAAQP46aefSExMZNOmTQCMHz+euLi4k5Y5ePAgpUuXJiwsjJ07dzJr1qw8bbtbt2689tpr7Ny5k8svvzzfbTEm4GRkOMXWFg6D6J7OzVkBkPTBu0f8x4ErVfWwiIQAi0RkFtAZmKeqQ0XkCeAJ4HEvxuE1q1atYuDAgQQFBRESEsJ7773HP//8Q9euXUlLS6NJkybcd999Jy3TqFEjoqOjqV+/PhdccAEtWrTI07bbt29P7969ueuuuxA/LBJljKvSU2HafbB6Clzxb6f2TgD9PyqUsswiUgpYBPwL+Bhoo6rbRaQqEK+ql5xpeV8tyxzI7O9v/FZKMnzeGzZ+B1cNdqpsFlE5lWX26sldEQkWkRXALmCOqi4GqqjqdgDP83nejMEYYzIdPeDU3dk4B65/vUgn/TPx6sldVU0HokSkPDBNRBrkdlkR6Qf0A6hVq5aXIjTGBIzDu5ykv2s9dBkFDW5xOyLXFMrlnKp6AIgHrgF2erp48DzvymGZkaoaq6qx4eHhhRGmMaaoOvA3jO4AezZBt4kBnfTBu1f1hHuO9BGRUOAqYD3wNXCimHVv4CtvxWCMMexaD6M6QPJe6PUlXHyV2xG5zptdPVWBcSISjPMFM1lVvxGRn4HJInIX8DfQ1YsxGGMC2dal8EkXCCoGfWbC+bnubS7SvJb4VXUlEJ3N9L1AO29t1xhjAPhzAXzWzbkLt+eXUOlCtyPyGVaywUs6duzIgQMHcj1/YmIiDRo4RyMrVqxg5syZedpumTJlsp3+7LPPMnfu3Dyt0xi/s36Gc6QfVsMptmZJ/yRFo2SDD8pr4gYn8SckJNCxY8dcL6OqnOmejCFDhuQ5HmP8yrLxMP0hqBYF3acU+bo7eWFH/Hn0yiuv8OabbwLwyCOPcOWVzpBs8+bNo0ePHkRERLBnzx4SExO59NJLueeee6hfvz7t27fn6NGjACxdupRGjRrRvHlz3nnnHQBSUlJ49tlnmTRpElFRUUyaNInBgwczbNiwzG03aNCAxMTEzHXff//9xMTEsGXLFgAee+wxYmJiaNeuHbt37wacQV2mTJkCOOWfBw0aRExMDJGRkaxfvx5wykz37duXJk2aEB0dzVdf2Xl340f+2Qqf3QFf94eIls6oWZb0s1UkjvhfXvIy6/etL9B11qtYj8eb5lxJonXr1gwfPpx///vfJCQkcPz4cVJTU1m0aBGtWrXKLK0MsHHjRj777DM+/PBDbr31VqZOnUqPHj248847eeutt4iLi2PgwIEAFC9enCFDhpCQkMDbb78NwODBg3OMY8OGDYwZM4Z3330XcJJ3TEwMw4cPZ8iQITz33HOZ68mqcuXKLFu2jHfffZdhw4bx0Ucf8cILL3DllVcyevRoDhw4QNOmTbnqqqtOKxxnjE/JSIclH8L3zzuvrx4Cl98PwSFuR+az7Ig/jxo3bszSpUs5dOgQJUqUoHnz5iQkJLBw4UJatWp10rwnhk88sVxiYiL//PMPBw4cyCzi1rNnzzzFUbt27ZOKtAUFBWWWdu7Ro8dJX0BZde7c+aR4AL777juGDh1KVFQUbdq04dixY/z99995isuYQrFjFXx0FXz7ONS6HB74BVo8ZEn/LIrEEf+Zjsy9JSQkhIiICMaMGcMVV1xBw4YN+eGHH9i8efNpNWyyDokYHBzM0aNHUdVcF1crVqwYGRkZme/PVMb5VDlt40RMwcHBpKWlAc55gqlTp3LJJWcsnWSM+1KOQPxQ+PkdpzvnFs+duAFUaC0/7Ig/H1q3bs2wYcNo3bo1rVq14v333ycqKipXCb18+fKEhYVlHpFPmDAh87OyZcty6NChzPcREREsW7YMgGXLlvHnn3/muN6MjIzMvvxPP/2Uli1b5ro9HTp04K233so8Sbx8+fJcL2tModk4F969HH56E6K7wwNLILKLJf1zYIk/H1q1asX27dtp3rw5VapUoWTJkqd185zJmDFjeOCBB2jevDmhoaGZ09u2bcvatWszT+7ecsst7Nu3j6ioKN57773MEb6yU7p0adasWUPjxo35/vvvefbZZ3MdzzPPPENqaioNGzakQYMGPPPMM7le1hivO7wLptwFE26B4BLODVk3vmUncPOgUMoy55eVZfY99vc3hSYjA5aPhznPQmoytHrMqaoZIIOm5EdOZZmLRB+/MaaI2v07fPMw/PUj1G7hlFIOz/kXr8kdS/zGGN+TdhwWvgaLXoOQUk6XTlQPCLLe6YLg14n/XK6MMQXHH7oHjR9LXATTH4a9GyGyK3R4CcpYafaC5LeJv2TJkuzdu5dKlSpZ8i9EqsrevXspWbKk26GYoiZ5n9OPv3w8lK8NPabCRVZC2Rv8NvHXqFGDpKSkzJIEpvCULFmSGjVquB2GKSpUYdUUmP2kk/xbPARxT0DxUm5HVmT5beIPCQmhTp06bodhjMmP/YnwzaOweR5Ubww9p8H5kW5HVeT5beI3xvix9FTnrtv4oRAUDNe+Ck3ucl4br7PEb4wpXElLYfq/YedqqHc9XPsKhFV3O6qAYonfGFM4jh2E7/8HS0ZC2apw2wS49Hq3owpI3hxsvaaI/CAi60RkjYg85Jk+WES2isgKzyP3o40YY/zTum/gnWZO0m96Dzyw2JK+i7x5xJ8GPKaqy0SkLLBUROZ4PhuhqsPOsKwxpij4ZyvM+g+s/waqNIDbxkON0yoImELmzcHWtwPbPa8Picg6wDryjAkEGenw6yiYNwQy0uCq56D5A1Yn30cUyv3PIhIBRAOLPZP6i8hKERktIhVyWKafiCSISIJdq2+MH9mxGka1h1kDoWYTuP9naPmwJX0f4vXELyJlgKnAw6p6EHgPuBCIwvlFMDy75VR1pKrGqmpseLjdrm2Mz0tJhjmD4IPWzvX5nT+CHl9ARbvfxtd49aoeEQnBSfoTVPULAFXdmeXzD4FvvBmDMaYQbJoH3zwCB/6C6B5w9fNWJ9+HeS3xi1NAZxSwTlVfyzK9qqf/H6ATsNpbMRhjvOzwbqfUwqrPodLF0GcGROR+1DfjDm8e8bcAegKrRGSFZ9pTQDcRiQIUSATu9WIMxhhvUIXln8B3TzuDo8Q9Aa0etcFR/IQ3r+pZBGRXNnOmt7ZpjCkEezY6ZZP/WgS1roAbXofwS9yOypwDu3PXGJM7acdh0euwcBiEhMINb0J0TxscxQ9Z4jfGnN1fP8H0h2DP79DgFmdwlLJV3I7K5JElfmNMzo7udwZHWfYxlK8F3afCxTY4ir+zxG+MOZ0qrJ4K3z4JyXvhin9DmyegeGm3IzMFwBK/MeZk+xNhxmOwaS5Ui3aGQKza0O2oTAGyxG+McaSnwS/vwg8vOgOiXPOyU0nTBkcpcizxG2Ng+0r46n7YsQou6QgdX4UwG1e5qLLEb0ygS/wRPr0VipeBW8fDpTeAZHcLjikqLPEbE8g2zYWJPZwrdnp9BeWquh2RKQS5uvNCRKaKyHUiYndqGFNUrPsGPusGlS+CO2da0g8guU3k7wF3ABtFZKiI1PNiTMYYb1s1BSb3gvMbQu/pULqy2xGZQpSrxK+qc1W1OxCDU1htjoj8JCJ3ekovG2P8xbKPYerdUKs59PoSQrMdC8kUYbnuuhGRSkAf4G5gOfAGzhfBnDMsZozxJb+8D18/CBe1g+6fQ4mybkdkXJCrk7si8gVQDxgP3JClnv4kEUnwVnDGmAK0cLgzBm6966HLaCuhHMBye1XPR6p6UjllESmhqsdVNdYLcRljCooqfP+8k/gjb4Wb34Ngu6AvkOW2q+d/2Uz7uSADMcZ4gapTb2fhcIjpDZ3et6RvznzELyLnA9WBUBGJ5v8HVikHlPJybMaY/MhIh28edk7mNvsXXPOS3ZhlgLN39XTAOaFbA3gty/RDOMMoGmN8UXoafHmfMxZuqwFw5dOW9E2mMyZ+VR0HjBORW1R16rmsWERqAh8D5wMZwEhVfUNEKgKTgAicS0NvVdX9eYjdGJOdtOMwpS+s/wbaPQutHnM7IuNjztbV00NVPwEiROTRUz9X1deyWeyENOAxVV0mImWBpSIyB+cXxDxVHSoiTwBPAI/nuQXGmP+XkgyTezqlGK55GS6/z+2IjA86W1fPiVEXypzrij2XfG73vD4kIutwzhfcBLTxzDYOiMcSvzH5d/wQfHo7/PUj3PgWxPRyOyLjo87W1fOB5/m5/GxERCKAaGAxUOXEfQCqul1EzsthmX5AP4BatWrlZ/PGFH1H98MnXWDbcrjlI4js4nZExofltkjbOBEpn+V9BREZnctlywBTgYdV9WBuA1PVkaoaq6qx4eHhuV3MmMBzeDeMvQF2rITbxlvSN2eV2+v4G6rqgRNvPCdjo8+2kKeOz1Rggqp+4Zm8U0Sqej6vCuw6t5CNMZkOboOxHWHvJuj2GdS7zu2IjB/IbeIPEpHMSk6eK3POdmJYgFHAulNOAn8N9Pa87g18lftwjTGZ9v8FY651kn+PqXDRVW5HZPxEbm/hGw78JCJTPO+7Ai+cZZkWQE9glYis8Ex7ChgKTBaRu4C/PesyAeRgykGSU5PdDsO/7UuEqX0h5QjcOgbCL4QjO9yOymdUDq1MsSC7Qzknoqq5m1GkPtAW5+7deaq61puBZRUbG6sJCVYLrij45o9veObHZ0jLSHM7FFOEhZUIo2X1lsTViKNF9RaUK17O7ZBcISJLs6unluuvRFVdIyK7gZKeFdZS1b8LMEZTxH22/jNeXPwisVViueHCG9wOxz/t/wt+eReCisEVD0LZ892OyOekZaTx2+7fWJi0kBl/zKCYFCOmSgyta7SmTc021C5X2+0QXZerI34RuRGnu6cazsnY2jh99/W9G57Djvj9m6ry4aoPeWv5W7Sp2YZhccMoEWwlgc/ZXz/DhK5QqgL0+hoq1nE7Ip+WnpHOqj2riN8Sz/yk+Ww6sAmAiHIRxNWII65mHNHnRRfpLqGcjvhzm/h/A64E5qpqtIi0Bbqpar+CD/V0lvj9l6oyPGE449aO4/oLrmdIiyGEBNmgbeds8w8w8Q4oV81J+mHV3Y7I7yQdSmJ+0nwWJC1gyY4lpGWkUbZ4WVpWb0mbGm1oUb0FYSXC3A6zQOU38SeoaqznCyBaVTNEZImqNvVGsKeyxO+f0jPSGfLLEL7Y+AW3X3I7TzZ7kiDJ9aBv5oQNs2Byb6h0kTNUYpls73k05+BI6hF+3vYz8VviWbh1IfuO7SNYgok+L5o2NdvQukZr6oT5/y+q/Cb+ucDNOFfkVMLp7mmiqlcUdKDZscTvf1LSU3hi4RPM+WsO/Rr2o39Uf8SqQ5671V/AF/c4g6L3mAqlKrodUZGTnpHO6r2rmb9lPvFJ8WzcvxGA2uVqO11CNeKIrhLtl79U85v4SwPHcK7o6Q6E4dyUtbegA82OJX7/kpyazCPxj/DTtp8YEDuA3vV7n30hc7rlE+Dr/lCzGdwxGUoG5pUphW3b4W3MT5rP/C3zWbJjCakZqU6XULWWtK7ZmlbVW/lNl1C+Er9nBecDTQEFflXVQrto2BK//ziYcpAH5j7Ayj0rGdx8MJ0u7uR2SP5pyYcwcwBc0BZunwDFS599GVPgklOTnS6hpHgWJC3I7BKKOi8q8wRxnXJ1fPbXbH6P+O8GngW+xznqjwOGqGqu6vXklyV+/7Dn6B7um3Mfm//ZzMutXqZ9RHu3Q/JPP74Bc56FSzpClzEQUtLtiAyQoRms3rOa+C3Ol8CG/RsAqFW2VualojFVYnyqSyi/iX8DcMWJrh0RqQT8pKqXFHik2bDE7/u2Hd5Gvzn92JW8ixFtRtCiegu3Q/I/qhD/Esx/Gep3hs4jIdh3kog52fbD250uoaT5LNm+hJSMFMqElKFF9RbE1YijVfVWlC9Z/uwr8qL83sCVhDPc4gmHgC0FEZjxf3/88wf9vutHcmoyI+7GnyQAABUjSURBVK8eSdR5UW6H5H9U4bun4ee3IaoH3PgmBAW7HZU5g6plqnJ7vdu5vd7tJKcm88v2XzLPDcxOnE2QBBEVHkVcTecE8QVhF/hMl1Buj/g/BiJxCqopzmAqS4Df4awjceWbHfH7rrV713LfnPsQEUZePZJLKhbKj8CiJSPD6c9PGAVN+zkjZwXZZa/+KkMzWLt3beaNY+v3rQegRpkamZeKxlaJJaQQfs3lt6tn0Jk+z+9ALWdjid83JexI4MHvH6Rs8bJ82P5DuxU+L9LTnCt3fvsMWjwMVw22QdGLmB1HdrAgaQHxW+JZvH1xZpfQFdWuIK6m0yVUoWSFs68oD/J9VY+bLPH7ngVJC3g0/lGqlanGyKtHcn5pqxlzztJSnGv0134JbZ+G1gMs6RdxyanJLN6+OPPcwJ6jewiSIBqFN3JOENdow4XlLyywLqH8HvGHA/8B6uMp0gagqlcWSHRnYYnft8z6cxZPLXyKiytczPtXv0/FknZT0TlLPQaTe8HG2dDhRWj+gNsRmUKWoRms27uO+KR45m+Zz7p96wCoXqZ65qWisVViKR5cPM/byG/i/w6YBAwA7sMZQGW3qhbKIOmW+H3H5A2T+d8v/yOmSgxvXfkWZYuXdTsk/3P8MEzsBn8uhOtHQOydbkdkfMDOIztZsHUB87fM55ftv3A8/TilipVieJvhtKzeMk/rzO9VPZVUdZSIPKSq84H5IjI/T5EYv/XRqo94Y9kbtK7RmuFxwylZzK4vP2fH/nEqbCb9Cp0+gEa3uR2R8RFVSleha92udK3blaNpR1myfQnxSfFcVP6iAt9WbhN/qud5u4hcB2wDahR4NMYnqSqvL3ud0atHc22da3mh5Qs+dZOK3ziyFz7pBDvXQtexcNlNbkdkfFRosVDnMtCacV5Zf26vGfufiIQBj+F093wEPHymBURktIjsEpHVWaYNFpGtIrLC8+iY58hNoUjPSOf5X55n9OrR3Fr3Vl5q+ZIl/bw4tBPGXge7N8Dtn1rSN67KbeLvinM+YLWqtgWuBs5WhGUscE0200eoapTnMTP3oZrClpqeyhMLn+Dz3z/n7si7efrypwm2m4rO3YEtMOYaOPA3dP8c6lopC+Ou3Hb1NFTVAyfeqOo+EYk+0wKqukBEIvIRm3HR0bSjPBr/KIu2LuKRxo/Qt0Fft0PyT3s3w8c3wbGDTi39moUyhIUxZ5TbI/4gEcm8w0BEKnIO4/Weor+IrPR0BeV414KI9BORBBFJ2L17dx43ZfLiUMoh7ptzHz9u/ZFnmz9rST+vdq2HMR0hNRn6TLekb3xGbhP/cOAnEXleRIYAPwGv5GF77wEXAlHAds96s6WqI1U1VlVjw8PD87Apkxf7ju3jrtl3sXL3Sl5p/Qpd63Z1OyT/tP03GOs5hdVnJlRt5G48xmSRq6N2Vf1YRBJwxt0VoLOqrj3XjanqzhOvReRD4JtzXYfxnh1HdnDPd/ew48gO3rzyTVrVaOV2SP5pyxL4pIszcEqvr6DShW5HZMxJct1d40n055zssxKRqqq63fO2E7D6TPObwpP4TyL95vTjUMoh3r/6fRpXaex2SP7pz4Xw6W1QtoozKHr5mm5HZMxp8tpPf1Yi8hnQBqgsIknAIKCNiEThVPhMBO711vZN7q3ft5575zi7YlSHUVxW6TKXI/JTG+fApB5QoY5zIres1S8yvslriV9Vu2UzeZS3tmfyZvmu5Tww9wFKFy/NyKtHUiesjtsh+ae1X8OUvlDlMugxDUpXcjsiY3JkRb8D2KKti+j3XT8qhVbi42s+tqSfV79Ngs/7QPUY6D3dkr7xeZb4A9TsxNk8+P2DRIRFMPaasVQtU9XtkPxTwhiYdi9EtIAeX0DJMLcjMuasvNbVY3zX1N+nMuSXITQKb8Tb7d6mXPFybofkf44fgu//B4vfh4s7wK3jICTU7aiMyRVL/AFm7OqxDF86nBbVWzCizQhCi1myOmfrZzpDJR7cBk3ucerpF8t7zXRjCpsl/gChqry1/C0+XPUh7Wu3Z2iroYUy5meRcnAbzPoPrJsO513mVNi0u3GNH7LEHwAyNIMXF7/IpA2TuOXiW3jm8mes2Nq5yEiHhNEw9znISIV2z8IV/wb74jR+yhJ/EZeakcozPz7DjD9mcGf9O3mk8SMFNp5nQNi5BqY/5AycckEbZ8Ssihe4HZUx+WKJvwg7lnaMgfMHEp8Uz0MxD3F35N1uh+Q/Uo/C/Jfhp7ecK3U6jYSGt9pg6KZIsMRfRB1OOcyD3z/I0p1LebrZ09xWz4b4y7XN38M3j8D+RIjqDu3/B6VsQHlTdFjiL4L2H9vPv+b+iw37NjC01VA6XmADneXKkT0w+ylYOQkqXujcjFWntdtRGVPgLPEXMTuP7KTfnH5sPbyVN650BkY3Z6EKKybAd0/D8cPQ+j/Q6jEIscHkTdFkib8I+fvg3/Sb048Dxw/w3lXv0eT8Jm6H5Pv2bIJvHobEhVDzcrjhDTivnttRGeNVlviLiA37NnDvnHtJ13RGdRhF/Ur13Q7Jt6WlwI+vw4JhUKwkXP86xPSGIKtiYoo+S/xFwIpdK7h/3v2EFgtl9NWjuaC8XW54Rn/97FyiuWcD1O8E1wy1EsomoFji93M/bfuJh394mPDQcEa2H0n1MtXdDsl3Hd0PcwfD0rEQVgvu+Bzqtnc7KmMKnSV+Pzb3r7n8Z8F/qBNWhw+u/oDKoZXdDsk3qcKaL2DWE5C8B5r3h7ZPQfHSbkdmjCss8fupLzd9yaCfBhFZOZJ32r1DWAkrB5yt/X/BjMdg0xyoGgXdP4dqUW5HZYyrLPH7ofFrx/PKr69wRbUrGNFmBKVCSrkdku9JT4PF78EPLwICHV6Cpv0g2P7JG+PNMXdHA9cDu1S1gWdaRWASEIEz5u6tqrrfWzEUNarKu7+9y/u/vc/Vta9maKuhFA+2csCn2brMOXm7YyXUvQY6DrNBz43JwpvXro0Frjll2hPAPFW9GJjneW9yIUMzGLpkKO//9j6dLurEK61fsaR/quOH4dsn4aN2cHgXdB0H3SZa0jfmFN4cbH2BiEScMvkmoI3n9TggHnjcWzEUFWkZaQz6aRBfb/6aXpf1YkDsAKuweaoNs2DGADi4FWL7wlWDbBhEY3JQ2B2eVVR1O4CqbheR83KaUUT6Af0AatWqVUjh+a7k1GT6R/WnX8N+lvSzOrjdMzjK1xB+KfSdDbWauR2VMT5NVNV7K3eO+L/J0sd/QFXLZ/l8v6pWONt6YmNjNSEhwWtx+oMMzSBI7K7STBkZsNQzOEracYj7jzM4ig2BaEwmEVmqqrGnTi/sI/6dIlLVc7RfFdhVyNv3W5b0s9i51jM4yhKoE+cMjlLpQrejMsZvFHbi/xroDQz1PH9VyNs3/iz1KMx/BX56E0qUg5vfh0a32+Aoxpwjb17O+RnOidzKIpIEDMJJ+JNF5C7gb6Crt7Zvipg/4mH6w7D/T2h0hzM4SulKbkdljF/y5lU93XL4qJ23tmmKoCN7YPZ/YeVEZ6zbXl85Y98aY/LMbmM0vkkVfvvMSfrHD0KrAdB6AISEuh2ZMX7PEr/xPXs3O4Oj/LkAajbzDI5yqdtRGVNkWOI3viMtBX58Axa86gyOct1r0PhOGxzFmAJmid/4hr9/cS7R3L0eLrsZrn3ZBkcxxkss8Rt3HT3gGRxlDITVhG6T4JJTSzwZYwqSJX7jDlVY+yXMehyO7IbLH3AGRylRxu3IjCnyLPGbwnfgb6eg2sbZULUR3DEJqkW7HZUxAcMSv8m79FSnq+bo/lMe+7KZ5nkk74fj/0BIKejwIjS91wZHMaaQ2f8441xNk1OizjGJH3Cur8+RQGh5CK0IoRWgVGWodLHzunRlp9RCeau6aowbLPEXJWnHIfkMR9unJXHP0XrK4ZzXKUFOsj6RwMuc75Q/Dq3w/49SFT1JPsu0EmF2GaYxPsoSv79Y+bkzyMhJSfyUbpbU5JyXDyp2cgIvVwOqRGZJ1uU9CbzCyY/iZS2BG1PEWOL3F/OHwt5NEFz85ARevjZUjTr5iDvbBF7GqlgaYwBL/P7jzllQvLRzUtQSuDEmHyzx+4syOY5SaYwx58Q6b40xJsBY4jfGmABjid8YYwKMK338IpIIHALSgbTsRoE3xhjjHW6e3G2rqntc3L4xxgQk6+oxxpgA41biV+A7EVkqIv1cisEYYwKSW109LVR1m4icB8wRkfWquiDrDJ4vhH4AtWpZMS9jjCkorhzxq+o2z/MuYBrQNJt5RqpqrKrGhoeHF3aIxhhTZBV64heR0iJS9sRroD2wurDjMMaYQOVGV08VYJo49WaKAZ+q6rcuxGGMMQGp0BO/qv4BNCrs7RpjjHHY5ZzGGBNgLPEbY0yAscRvjDEBxhK/McYEGEv8xhgTYCzxG2NMgLHEb4wxAcYSvzHGBBhL/MYYE2As8RtjTICxxG+MMQHGEr8xxgQYS/zGGBNgLPEbY0yAscRvjDEBxq0xdwvFe/Gbmblqu9thFJjQ4sFULFWcCqWLU7F0CBVKFadiac/7LK9LFw/GM9CNMcacpkgn/jIlixFetoTbYRQIVSU5JZ0/9hxm31+p7E9OIT1Ds523eHAQFbL5YnCeQzxfHMUzP69YujglQ4ILuUXGGLcU6cTf8/La9Ly8tttheEVGhnLoeBr7j6SwLznFeT6Swv7kFPYdST1p+rrtB9l/JIUDR1PR7L8rCA0J9nxJZPnCOO2LI8T5oihVnPKlilO8mPUUGuOPXEn8InIN8AYQDHykqkPdiMOfBQUJYaEhhIWGEEHpXC2TnqH8czQ1yxdEyilfHKmZ0//el8y+IykcOpaW4/rKlihGhdKn/JLI7IrK+ovC+TIpX6o4wUHWBWWM2wo98YtIMPAOcDWQBPwqIl+r6trCjiXQBAdJZtdObqWkZXAg2flycL4oUrP5hZHC7sPH+X3nYfYdSeFoanq26xKBsFDnS6CYfQEYkysvdo6kSUTFAl2nG0f8TYFNnkHXEZGJwE2AJX4fVLxYEOeVK8l55UrmepmjKen//4vipF8WThfU/uQUMnLqczLGnCTUC+ff3Ej81YEtWd4nAc1OnUlE+gH9AGrVqlU4kZkCEVo8mNDioVQrH+p2KMaYbLhxdi673/inHf6p6khVjVXV2PDw8EIIyxhjAoMbiT8JqJnlfQ1gmwtxGGNMQHIj8f8KXCwidUSkOHA78LULcRhjTEAq9D5+VU0Tkf7AbJzLOUer6prCjsMYYwKVK9fxq+pMYKYb2zbGmEBnt14aY0yAscRvjDEBxhK/McYEGFE/uINSRHYDf+Vx8crAngIMx03WFt9TVNoB1hZflZ+21FbV026E8ovEnx8ikqCqsW7HURCsLb6nqLQDrC2+yhttsa4eY4wJMJb4jTEmwARC4h/pdgAFyNrie4pKO8Da4qsKvC1Fvo/fGGPMyQLhiN8YY0wWlviNMSbA+F3iF5GaIvKDiKwTkTUi8pBnekURmSMiGz3PFTzTrxaRpSKyyvN8ZZZ1NfZM3yQib4pIoY4HWMBtiReRDSKywvM4z8fb0jRLrL+JSKcs63JtvxRwO/xqn2RZrpaIHBaRAVmm+dX/lbO0xa/2i4hEiMjRLPG+n2VdedsvqupXD6AqEON5XRb4HbgMeAV4wjP9CeBlz+tooJrndQNga5Z1LQGa4wwOMwu41o/bEg/E+tF+KQUUy7LsrizvXdsvBdwOv9onWZabCnwODMgyza/+r5ylLX61X4AIYHUO68rTfnGl4QX8R/wKZ+D2DUDVLH/YDdnMK8BeoIRnnvVZPusGfOCPbfG8d/Ufcz7bUgfYiVMt1qf2S17b4a/7BLgZeBUYfCJZ+to+yU9b/HG/5JT487Nf/K6rJysRicA5Cl4MVFHV7QCe5+x+vt0CLFfV4zhj/yZl+SzJM80V+WzLCWM8PwWfKeyf4lnlti0i0kxE1gCrgPtUNQ0f2i/5bMcJfrNPRKQ08Djw3CmL+8w+gXy35QS/2S8edURkuYjMF5FWnml53i9+m/hFpAzOz7iHVfVgLuavD7wM3HtiUjazuXJtawG0BaC7qkYCrTyPnt6INRex5botqrpYVesDTYAnRaQkPrJfCqAd4H/75DlghKoePnUV2czr6/9XcmoL+N9+2Q7UUtVo4FHgUxEpRz72i18mfhEJwfmDTVDVLzyTd4pIVc/nJ/paT8xfA5gG9FLVzZ7JSTjj/Z7gyti/BdQWVHWr5/kQ8CnQtHBa8P/OtS0nqOo64AjOeQvX90sBtcMf90kz4BURSQQeBp4SZ7Q81/cJFFhb/G6/qOpxVd3reb0U2AzUJR/7xe8Sv+dn2Shgnaq+luWjr4Hente9cfrNEJHywAzgSVX98cTMnp9Sh0Tkcs86e51YprAUVFtEpJiIVPa8DgGuB1Z7vwX/Lw9tqSMixTyvawOXAIlu75eCaoc/7hNVbaWqEaoaAbwOvKiqb7u9T6Dg2uKP+0VEwkUk2PP6AuBi4I987Re3T2yc6wNoifNzZiWwwvPoCFQC5gEbPc8VPfM/jXMUtiLL4zzPZ7E4O30z8DaeO5n9rS1AaWCpZz1rgDeAYB9vS09PrCuAZcDNWdbl2n4pqHb44z45ZdnBnHxC1K/+r+TUFn/cLzjn89YAv3n+jd2Q3/1iJRuMMSbA+F1XjzHGmPyxxG+MMQHGEr8xxgQYS/zGGBNgLPEbY0yAscRvjDEBxhK/MYXkxE04xrjNEr8x2RCR58VTJ93z/gUR+beIDBSRX0VkpYg8l+XzL8UZI2GNiPTLMv2wiAwRkcU45XONcZ0lfmOyNwrP7fMiEgTcjlNy+WKc2i5RQGMRae2Zv6+qNsa5k/LfIlLJM700TkndZqq6qDAbYExOirkdgDG+SFUTRWSviEQDVYDlONU323teA5TB+SJYgJPsT4y+VdMzfS+QjlOMyxifYYnfmJx9BPQBzgdGA+2Al1T1g6wziUgb4Cqguaomi0g8cKI08zFVTS+sgI3JDevqMSZn04BrcI70Z3sefT111BGR6uKM1xoG7Pck/XrA5W4FbExu2BG/MTlQ1RQR+QE44Dlq/05ELgV+9gzadBjoAXwL3CciK3GGz/vFrZiNyQ2rzmlMDjwndZcBXVV1o9vxGFNQrKvHmGyIyGXAJmCeJX1T1NgRvzHGBBg74jfGmABjid8YYwKMJX5jjAkwlviNMSbAWOI3xpgA839+PgVm25BBzwAAAABJRU5ErkJggg==\n", + "image/png": 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", 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" ] @@ -567,7 +567,7 @@ "source": [ "From the results, we can see that `windturbine` increases rapidly between 2025 and 2040. However, between the years 2030 and 2050 `solarPV` increases. This is because of the changing cost of `solarPV` during these years. A crossover can be seen around the year 2038.\n", "\n", - "For the full example with the completed input files see [here INSERT LINK HERE](dead-link)" + "For the full example with the completed input files see [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/1-add-new-technology/2-scenario)" ] }, { diff --git a/docs/user-guide/addition-service-demand.ipynb b/docs/user-guide/addition-service-demand.ipynb index 749d5ecb3..0e390ef30 100644 --- a/docs/user-guide/addition-service-demand.ipynb +++ b/docs/user-guide/addition-service-demand.ipynb @@ -89,7 +89,7 @@ "source": [ "As can be seen, we only need to add a `cook` column in the file, as well as the demand level for each timeslice and each region. This can be seen through the addition of a positive number in the `cook` column.\n", "\n", - "The process is very similar for the `Residential2050Consumption.csv` file, however, for this example, we often placed larger numbers to indicate higher demand in 2050. For the complete file see the link [here INCLUDE LINK HERE](total-addition-service-demand-github)." + "The process is very similar for the `Residential2050Consumption.csv` file, however, for this example, we often placed larger numbers to indicate higher demand in 2050. For the complete file see the link [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/preset/Residential2050Consumption.csv)." ] }, { @@ -183,7 +183,7 @@ "|**gas_stove**|**R2**|**2020**|**fixed**|**8.8667**|**…**|**gas**|**cook**|**1**|\n", "\n", "\n", - "As can be seen we have added two technologies, in the two regions with different `cap_par` costs. We specified their respective fules, and the enduse for both is `cook`. For the full file please see [here INSERT LINK HERE](here)." + "As can be seen we have added two technologies, in the two regions with different `cap_par` costs. We specified their respective fuels, and the enduse for both is `cook`. For the full file please see [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/5-add-service-demand/1-exogenous-demand/technodata/power/Technodata.csv)." ] }, { @@ -208,7 +208,7 @@ "|gassupply1|R1|2020|…|**100**|**5**|**500**|…|1|\n", "|gassupply1|R2|2020|…|**100**|**5**|**120**|…|1|\n", "\n", - "To prevent repetition of the [\"adding a new technology\"](add-solar.ipynb) section, we will leave the full files [here INSERT LINK HERE](link-here). " + "To prevent repetition of the [\"adding a new technology\"](add-solar.ipynb) section, we will leave the full files [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/5-add-service-demand/1-exogenous-demand). " ] }, { @@ -356,7 +356,7 @@ }, { "data": { - "image/png": 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\n", 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YA6Wq0UtBRjKpA9DppRPy2dvawfoIexupKivLapg5cggTCzMjKkugmEGIAfyV0iwnkBErVHnaKDhM9b/DsWi8bx1h7dbIuquXVzdT0dDGguK8fqeUiRT2CxLldPcou5vaBx2UZhhuoaW9i2ZvF/n9cDntzei8NIqyU9gU4XTYK8tqEGBhlEwXgRmEqGdPSzvdquTbgrIRI1R7AiuMcziWTMintNJDW0d407r3ZtWWGo4tymLaCHfWPugLMwhRjt89L8+C0owYocofaDmIh5wlE/PZ197Nax/tCZZY/WLX3lbKq5tZUJxLdmr0pIQxgxDl1PjLDGbaCMGIDfyFcUbmDDzNw0InCOzVCBmElWW+zMFurn3QF2YQohz/CGEwN49huIlqTxtxAiMGodNDM1Mozk+ntCIy8QirttQyNi+NOWPcW/ugL8wgRDk1TV4S4oSi7JRIi2IYQaGq0UtOWhLZqYMb9S6dmE9ZVRNNbZ1Bkiww6lvaWb9jLwuK88hLj66RuxmEKMcXg5BMelL0zFMaxuGo8vgL4wwurmbRhHzau3p4eWt401isKd9Nj/qmi9xc+6AvzCBEOb4YhCRSB3nzGIZbqPK0kZ+RTMogAy0XFOcRJ/DGx/VBkiwwVm2pYWhmMvNcXCrzUJhBiHKqnZsnGvKkGMaRUFWnPvjgveayUxM5tiiL0srwxSPsa+9i3bY9LCjOY1hW9K3rRUf4nNEnqkpNk5fjxkZP4IthHI69+zpo7+rpVx2Ew7F0YgH3vfIJf99U1e+8SAPh/YomOrp6WDAud0DlbCONGYQoZu++Djq7lTyLUg4rIpICrAOS8d1DT6nq7SJyB3AN4M+Z8F1V/WdkpIxO9tf2CFKg5bJjCvjftR/zzcfeC8rxAiEnLZEFUVD7oC/MIEQx1UEI4DEGRDtwkqq2iEgi8KqIPO9890tV/VkEZYtqqoIQpdybBcV5rPjaInY1tAbleIFQmJUcFbUP+sIMQhRT2+Q3CDZCCCeqqkCLs5novNxTszGKqd5f7Kl/hXEOx9yxOcwdG30LvJHAViKjGP/NMyLHYhDCjYjEi8hGfCVgV6vqW85X3xCRUhF5wKkr3lffa0VkvYisr6uLbEZOt1HlaSMxXigaYjodCUJmEETkGBHZ2OvVJCI3ikiuiKwWkW3Ou5nuAVLT6CVOYPiQ4D1NGYGhqt2qOgsYCcwTkWnA74HxwCygGvj5Ifreq6olqlpSUFAQNpmjgSrHwygz2eJqIkHIDIKqblXVWc5NMxdoBf4K3AasUdWJwBpn2xgA1Y1ectOTybRKaRFDVT3Ay8AZqlrrGIoe4I/AvIgKF4X43ajTwuARZHyecE0ZnQx8rKqfAucCDzntDwHnhUmGmMNXOtOC0sKNiBSIyBDncypwCvCBiBT12u2LwOZIyBfNVDqFcRKt2FNECNej5ZeBx5zPhapaDaCq1SIytK8OInItcC3A6NGjwyJktFHt8VKUnTLoiE6j3xQBD4lIPL6HqidU9R8i8mcRmYVvgXkHcF0EZYw6/MWelk40J4lIEXKDICJJwDnAd/rTT1XvBe4FKCkpMQ+Og/BHdE4bkR1pUY46VLUUmN1H+2URECdm2N3stWJPESYc47J/A95V1Vpnu9Y/tHbew5t5KkZobu+irbPbbh4jZvDHIAQrStnoP+EwCBfz2XQRwLPAcufzcuCZMMgQc9Q0WgyCEVtUeZwoZTMIESOkBkFE0oBTgad7Nd8NnCoi25zv7g6lDLHK/tKZZhCMGKHaqf4XrVG+sUBI1xBUtRXIO6itHp/XkTEI/KUzh2VZAI8RG1R5vKQmxlNoI4SIYb5dUcpnIf7Rl2LXMPrCXxjH3KgjhxmEKKWm0cuQtESyUy2i0xgc973yCTc/sTHSYlDd6ASlJVmgZaQwgxClVDd6yU+3m8cYHM9uquJHz5Wz4t1KPqptjqgsVR4vBRlJxEdhHYFYwQxClFLT5CudmZJo/0JjYGzc5eGWJzdRlO1bh1pdXnuEHqHD29lN/b4O8zCKMPZrEqX4h9fRVsTbcAfVjW1c+/B6slMT+en5M8hITuC9nZ6IyWNu1O7ADEIU0trRRVNbF3kWlGYMgNaOLq55eD3N3i5+cNYUlk7KZ0FxLpsqPPT0RCYpQJXjNZdvI4SIYgYhCvE/TeWl281j9I+eHuXmJzZRVtnELacfw+nThiEiLJmQT21TO5sqIjNK8Ael+aevjMhgBiEKqbHSmcYA+eULH/L85hquXDyOLx03an9W0cUT8gF48YPIZJKpdtJWjA5ipTSj/5hBiEL8MQiFFpRm9INnNlbymxc/4tQphVx3QjEZvepoTBiaQV56EqUVjRGRrarRS3ZqIjnp9pATScwgRCE1Ti1le5oyAuXdnQ3c8lQpU4dnccvpxzD0oIcJEWHxhDxKKzx0dnWHXT6fk0QSaRaUFlHMIEQhNY1eMpMT7GnKCIhKj8+jKDctie/827FMKszsc78lEwpoaO3k7R0NYZYQKhucKGWr7RFRzCBEIdWNvhgEe5oyjsS+9i6ufmg9rR3dfP+sKSyekHfIfReO9323dmtduMTbT7VTS9ncqCOLGYQopMaJQbCnKeNw9PQoNz6+ka01TXz79MmcNrXwsD+4o3LTGDEkNeyeRk3eTlrauyiwGISIYwYhCqlu9JKXnkSchfgbh+GeVVtZvaWWq5YUc1HJyIDqFC+ZkM/mykZaO7rCIKGPaquD4BrMIEQZ7V2+EH+rg2AcjqffreD3L3/MGVOHce3x40hPDizn1eKJ+ezr6ObVbXtCLOFn7A9KM52OOAEZBBFZISJniogZkAizu6kdsBiEYHDBBRfw3HPPRVqMoLPh073cuqKUGSOy+dZpkyjIDNw9eWGxbx3htY/qQyXe5/CPEIbnmBt1pAn0B/73wCXANhG5W0QmB9JJRIaIyFMi8oGIlIvIQhHJFZHVIrLNec8ZsPRHIVYpLXj8+7//O3/5y18ApvVHr91MRUMr1zy8gfyMZG49YzITDuFRdCgKMpOZUJAR1nWEKk8bcQIjc6y2R6QJyCCo6guqeikwB9gBrBaR10XkqyJyuIT8/w38S1UnAzOBcuA2YI2qTgTWONtGgPhjEIbafOugOeWUU3j00UfBp5c7CFyvXUmL41HU3unzKFp0GI+iw7F0Yj5bqptobO0MsoR9U9XYRm56MtkpNuqNNAFPAYlIHnAFcDXwHr4f+znA6kPsnwUcD9wPoKodquoBzgUecnZ7CDhvgLIflfhLZ46yoLSgUF9fD74yrwHptZt5av0uPqhp9nkUTTm8R9HhWDQhn46uHl7cGp40FtVOHYS0ZPOaizQBrTSJyNPAZODPwNmqWu189biIrD9Et2KgDnhQRGYCG4AbgEJ/f1WtFpGhhzjntcC1AKNHjw7wz4l9qht9dWfNI2PwnH/++XzwwQfgezAKVK9dy476VlIT4zltaiEJAXgUHYr5xbnECbz1ST1fnD0iiBL2TaWnjTF5aSQnmEGINIFqzX2qOkVVf+K/aUQkGUBVSw7RJwHfk9bvVXU2sI9+TA+p6r2qWqKqJQUFBYF2i3lqLCgtaFx99dVs2bIFoKYfeu1aKpxo38xBllXNSklkyvAsNoUhr5GqUtPotRgElxCoQfhRH21vHKFPBVChqm8520/hMxC1IlIE4LxHJr1ilOKP6LSgtMHzve99r6/mI+m1a6n0tDI0M5m0IOjG8RML+LC2mVpnijJU1O/roKO7x1xOXcJhDYKIDBORuUCqiMwWkTnOaxlw2ElsVa0BdonIMU7TycAW4FlgudO2HHhmMH/A0UZ1Yxt56UmDmhI42qmpqWHDhg20tbXx3nvvAaQFqtcAIpIiIm+LyCYRKRORO532iHrQVTa0MTQrJSgBi4vG59Pdo6wJcTpsv8upFcZxB0daQzgd30LySOAXvdqbge8GcPxvAo+KSBLwCfBVfEboCRG5CtgJXNRPmY9aurp7qGtut6epQbJy5Ur+9Kc/UVFRwU033QQ+/f45get1O3CSqrY43kivisjzwPn4POjuFpHb8E2R3hqav+JAmrydNHm7guZ9VjI2h8R44e3tDVwyf0xQjtkXlU4dBJsycgeHNQiq+hDwkIhcoKor+ntwVd0I9DUXe3J/j2XAnpYOehQrnTlIli9fzvLly1mxYgUXXHABIvKhqp4YaH9VVaDF2Ux0XorPg26Z0/4Q8DJhMgiVDb4f1mAZhJTEeGaNGkJppQdVDVnSuWpnSmp0nsUguIEjTRl9xfk4VkRuOvgVBvmMXlRbiH9QeOSRRwDYsWMHv/jFLwAK+6vXIhIvIhvxrYGtdtbKDvCgAw7pQSci60VkfV1dcDKLfmYQghfte/zEArbX7ePT+n1BO+bBVDd6SYqPs9KZLuFIE9HpznsGkNnHywgjVjozOOzb5/uBa2lpobm5GXz3Qb/0WlW7VXUWvummeSIyLdDzh8KDzj/1Eswn7UUT8lHghfLQrSNUenyFcdKToy4OMCY50pTRH5z3O8MjjnE4/GkrRuZYUNpguO666wC4/fbbAbjjjjuqB6rjquoRkZeBM3A86Jz4mrB60FV62kiMF0YEMf3DjJHZpCbGs+HTBq5eGrTDHkC1p438zGRzo3YJgSa3e0hEhvTazhGRB0InltEXNU1eEuOFYdk2ZRQMli9fjsfzWc6eQPVaRAr894OIpAKnAB8QQQ+6ioZWCjKSyQjik3ZifBzzxuVSWtFIT48G7bi9qfL43KgDSc1thJ5A/wsznLQTAKhqAzA7NCIZh8Ifg2DD6+BQWlrKkCH7n3P6o9dFwEsiUgq8g28N4R/A3cCpIrINONXZDgsVjstpepCftJdOzKfS00Z5TVNQjws+r7ndzRaU5iYCS5IOcSKS49wwiEhuP/oaQaLGiUGw4XVw6OnpoaHhs/rBgeq1qpbSh+FQ1Xoi5EFX2dDG3DE5QY9PWTQ+H4AXttQydXh2UI9d29xOj1phHDcR6I/6z4HXReQpZ/si4MehEck4FNWNXiYUZNjwOkjcfPPNLFq0CGC4iNxFlOq1t9NXNCkUGXAnD8tkSGpiSNJYVHvMa85tBJr++mHgQqAW30LZ+ar651AKZhxIT49S2+S1GIQgcvnll/PUU08BdBLFer0/uCuILqd+4uKEhePzKK3w0NXdE9RjVzlOEkOzTKfdQsCPmqpaBjyBb6GsRUQsBWkY2dvaQWe3kpduT1PBZOrUqQANRLFeVwQ5KO1gFk/IZ09LB+/tCm7RnCrHkI3JTT/Cnka4CNTL6BxnoWw7sBZfMZHnQyiXcRAWgxB8nn32WSZOnAgwnSjWa39Q2sjc0ET7Lp7gW0d4Kch5jao9baQnWSp3NxHoCOEuYAHwoaqOw7dw9lrIpDI+h5XODD7f//73efPNNwHao1mvKz2txAmMCpFBGJuXRmFWMpuCPUJwvObSks0/xS0EahA6HQ+KOBGJU9WXgFkhlMs4CH+ltJFWiDxoJCYmkpfnKzMZzXpd2dBGfkYyQ1JDM3oUERZPyKe0shFvR3fQjlvl8dVvCEa6biM4BGoQPCKSAbyCL3vpfwNdoRPLOJjqRi/xcULREItSDhZDhgyhpaUFfInqolavK/0/rEmhe9JeMiGfZm8Xb2yvD9oxqzw+QxaMdN1GcAjUIJwLtAE3Av8CPgbODpVQxuepafKSm55Epg2vg8YzzzxDamoq+NKwR61e79rbxtDMZJISQueO7I9HePXDPUE5nrezm4bWTquD4DICdTvdBxQAXwD2Ak84U0hGmKhp9JKXnkSqBaUFjfT0dJxso9lEqV53OtG+Q7NCO5U4LDuFMXlpbKoIzjpC1f46COYk4SYC9TK6GngbXwGQC4E3ReTKUApmHEh1o5e8jGRSbL41aNx3333MmzcPIIco1euaRi89GjqX094smZBPWVUTzd7OQR/L7yRhaSvcRaBjzFuA2ap6haouB+YSQOEPEdkhIu+LyEYRWe+0RbTMYDSiqlQ3tpGfbk9TweSee+7xl9Dc0R+9dhMVIaiDcCiWTMinrbObdUGYNvKPEIYNMScJNxGoQajAV17QTzOwK8C+J6rqLFX1V067DV+ZwYnAGmfbOAxNbV14O60QebAZOXIkmZkHlD/oj167goqGVsyuS14AACAASURBVICwFJhZUJyHAK9/PHiD4B8hWFCauwh0hbISeEtEnuGzUoFv+6tLqeovDtf5ICJWZjBaqW7yPU1Z2orgMmLECObPnw++XEa3Mzi9jgj+tBVj80PvfZaTnsQxwzIpDUJeoypPG0PSEslOs8y9biLQEcLHwN/wGQPwhflXc+QKUwqsEpENInKt0xaxMoPRSvX+KGUbIQST8ePHc95550H/9do1VDa0kZuWRE5aeB4Wlk7Mp7y6iT3N7YM6jj8oLT2ErrJG/wnovzGIimmLVbVKRIYCq0Xkg0A7quq9wL0AJSUloanOESXUOgahyOZbg0owKqZFGn8MQnqY3JEXTcjnj69s58Wtu/lSyagBH6fa00ZBRjIpiZa5100E6mVUICL3iMg/ReRF/+tI/VS1ynnfDfwVmIdTZtA5bljLDEYr1Y1eBBgxJDSpCY5W6urquOWWWwAm9Eev3YSvME74vM/mjc0lPk54+5O9Az6Gqu6vpSxiQWluIlDz/Ci+EoHjgDvxJQF753AdRCRdRDL9n4HTgM1EsMxgtFLT6PXNt6bafGswufTSS5k8eTJAMgHqtZvo6VGqPG1hcTn1k56cwIwR2ZRWDjweocnbRWtHtyW1cyGBGoQ8Vb0fX06jtap6Jb5kd4ejEHhVRDbhi2F4TlX/RQTLDEYr1U2+GIRQpiY4Gqmvr+eqq64C0H7otWvY3dxOV4+GpA7C4Vg6qYCPdrewy/Fw6i/VjVYYx60E+gvjj0SpFpEzgSpg5OE6qOonwMw+2iNWZjBaqXaG1zbfGlwSE/ePuDoD1Ws3Uenx/SAXhvlJe9H4PH69Zhtrymu5YtG4fvf/LErZDILbCPQX5kcikg3cDHwLuA9fXiMjDNQ0eclPT7b51iDzve99j8bGRvDFHkSdXvuD0gqzw/vDOnv0EJIT4tiwo+HIO/dBlcfnJBGq+g3GwAnUIFwEiKpuVtUT8U31fDF0Yhl+9rV30eztsjoIIeDJJ59EVQG80ajX+2MQ8sIb3JWcEE/JmBw2VTT6r1+/qG5sIz5OGJFjmXvdRqAGYYaq7l9FUtW9wOzQiGT0pqbJXxjHgtKCTWlpKUOGDNm/HW16XdHQRmZyQtjXEACWTCxg595WPtrd0u++1R7L3OtWAjUIcb1zDolILoGvPxiDYH/pTMtjFHR6enpoaPhs2iPa9LrScTlNTw5/wsPFE3yFhVZvqe1330onBiEtAnIbhydQ5f858LqIPIUvqvNLwI9DJpWxH3+UsiUBCz4333wzixYtAl/qih8SZXpd2dDG0MwUUiOQAXfq8GwykhN47J1dbK1tPnKHXpRVNTFndA7JCWYQ3EagkcoPO9lKTwIEOF9Vt4RUMgP4rHTmKKuUFnQuv/xySkpKmDp1aidQRxTptapS4WllyvCsiDgbxMcJly0cw9/eq+Tt7f0LUstKSWDeuNwQSWYMhoCHx86NEhU3SyxR3eglMyWBITZlFBKmTJkCUKeqv4m0LP1h774OvJ09YQ1KO5hbz5jMjadMpLun/wvLifHmQu1Goma+9GilxkkClmaV0oxe+D2MImkQAJv2iTHMTLucan/pTKuU5hpEZJSIvCQi5SJSJiI3OO13iEilUxBqo4h8IVQyVPoL44S4dKZxdGEjBJdT0+TluLG5xMVZUJqL6AJuVtV3nXxdG0RktfPdL1X1Z6EWwD9CGJNna0tG8DCD4GK8nd3s3ddBvsUguAqnjoe/pkeziJQDI8IpQ0VDG6mJ8WGplGYcPdiUkYvZ3eQrQpKfblHKbkVExuILZnvLafqGiJSKyAOHqhcejOJPFQ2+OggZKZYB1wgeZhBcjD8rpEUpuxMRyQBWADeqahPwe2A8MAvfCOLnffVT1XtVtURVSwoKCgZ07kpPK0Mzk0mztSUjiJhBcDH+tBW2cOg+RCQRnzF4VFWfBlDVWlXtVtUe4I/4CkKFBF+UcoqtLRlBxdYQgkx3j1Lb5GXn3lZ27m2lYm8r7d09XL2kuN8FQfxRyqMtK6SrEF8k2P1Auar+old7kb9eOL4keZtDcf5mbydN3q6Iu5wasYcZhAHQ5O1k195Wdjk/+r5XG7v2tlLR0Epn92eBOv4HuMfe2slPzp/OmTOGB3yemkYvqYnxVkjEfSwGLgPeF5GNTtt3gYtFZBa+9C47gOtCcXK3xCAYsUfIDYKIxAPrgUpVPctJIPY4MBbfTfMlVR1YYvUwUuVp46YnNlJe3UxjW+cB32UkJzAsK4Xh2SnMGT2EwqwUhmWlMCInlXH56expaee7T2/m6395j79vqubuC6YzJO3I6wK+oLQkUi0ozVWo6qv4UrgczD/Dcf6KvU6BGTMIRpAJxwjhBqAcyHK2bwPWqOrdInKbs31rGOQYMKrKd55+n/d2ejhp8lCGZaVQ6LyKC9Ioyk4lPTmBtKT4PvPKFBdk8PyNS/nJP8t56I1Peftne7nnohmcfGzhYc9b3dhmpTONz+EfIdhUohFsQvpLIyIjgTPxZZC8yWk+F1jmfH4IeBmXG4Sn361k7Yd1XLu0mG+dfgxJCf1fi0+Mj+MHZ0/lzBnDuenxjVz10HrOnz2CO8+dSuYhXAerG73MGJlNvC0cGr2o9LSRGG8FZozgE2ovo18B3wZ6erUV+hfenPehfXUMhq92MNjd5OXOv5dxbFEWly0aMyBj0Ju5Y3JYddPxfPm4UfxtYyUn/3wtr3+053P7dXb3UNfcbpXSjM9R2eCrJ3CoBwnDGCghMwgichawW1U3DKR/MHy1B4uq8v1nNtPW2c31J01gVJCeyJIT4rn7ghk8fNV8EuKES+57i+/+9X3aOrr371PX3I5iQWnG56loaGVoVgrptrZkBJlQjhAWA+eIyA7g/4CTROQRoFZEisDnpgfsDqEMg+Kf79ewsqyWS+eP4cTJfQ5kBsWSCfm8cNMJnDdrOH95ayen/GItG3b4csv7XU4tbYVxMP4o5QRLIW0EmZBplKp+R1VHqupY4MvAi6r6FeBZYLmz23LgmVDJMBj27uvg+89sZsLQDC5fOIaUEEWEpiUn8Ksvz+aPl8+ls7uHi/7wBj/6xxZ27W0FLErZOBBvZzf1+zooNA8jIwREwn3lbuAJEbkK2AlcFAEZjsidfy+jqa2TO8+eSnFBRsjPd+qUYcwfl8stT5Vy36vb969VjMq1hUPjM/weRgWZFr1uBJ+wGARVfRmfNxGqWg+cHI7zDpQXttTyzMYqLpk3mlOmHN41NJhkpSbxh8tK+PumSm5/ZgudCT0Ms7QVRi/210GwEYIRAszB/SAa2zr5j7+9z9i8NJYvGhORoLCzZ45g6cQCNlc2km83vtGLCscgjLQYBCME2KrUQfznc+XUNbdz/UkTOWZY1pE7hIghaUksmVhgtWeNA6j0tBInMMoMghEC7NemF69sq+Px9bv44uyRnD5tWKTFMYzPUdnQRn5GMtkp5mxgBB8zCA772ru4bcX7jBiSypWLx5CebLNphvuo9PhcTk0/jVBgBsHhv/71AVWeNq4/eSJThmdHWhzD6JOKhjaGZiYPOmLeMPrCtAp4e/teHnrjU86aUcQXpg/rM0GdYUSazu4eapu8DDWXUyNEHPUGwdvZzbef2kRhVjJXLR1n+WEM11LT6KVHLe21ETqOeoPwy9UfsqO+lW+eOJGZI4dEWhzDOCR+l9NCi00xQsRRbRA27fLwx1c+4fQphZw9a7hNFRmuxh+lXJRtBsEIDUetQWjv6uaWpzaRk5bEVUvHkZ1qU0WGu/FHKY/Js3QmRmg4ag3C/7z0MR/WtvD1EydQMiY30uIYxhGpaGglJy2R3HSLQTBCw1FpELZUNfG7lz5i2TEFfHH2COKsIpkRBVR62hiamWIxCEbIOOoMQk+PcuuKUjKSE7hmSTE59rRlRAkVDW0MzUoOWSp2wzjqDMLGCg/vVzZy2cIxLBifF2lxDCMgenqUKk+bZTk1QspRZxBWldUSHyecMKnAitcbUcPu5na6etTqIBgh5agyCKrKyrIapo/IZnJR5DKZGkZ/qfT4KujZCMEIJSEzCCKSIiJvi8gmESkTkTud9lwRWS0i25z3nFDJcDAf7W5h+559LCzOI8MW5owo4rOgNDMIRugI5QihHThJVWcCs4AzRGQBcBuwRlUnAmuc7bCwsqwGgAXF5mZqRBf+oLRx+ekRlsSIZUJmENRHi7OZ6LwUOBd4yGl/CDgvVDIczMqyWo4pzGTWqLANSowYRERGichLIlLujH5vcNpDNvqtbGgjMznBKugZISWkawgiEi8iG4HdwGpVfQsoVNVqAOd96CH6Xisi60VkfV1d3aBlqfS08X5lIwuK88hOs6hkY1B0ATer6rHAAuDrIjKFEI5+KxraKMhKtqlOI6SE1CCoareqzgJGAvNEZFo/+t6rqiWqWlJQUDBoWVY700ULi83V1Bgcqlqtqu86n5uBcmAEIRz9Vjp1EFItBsEIIWHxMlJVD/AycAZQKyJFAM777nDIsLKsllG5acwda9NFRvAQkbHAbCBko19VpcLTytDMFEvAaISUUHoZFYjIEOdzKnAK8AHwLLDc2W058EyoZPDTsK+Dt7fvZWFxHvkZFplsBAcRyQBWADeqalOg/fo7+m1o7cTb2WMup0bICeWEZBHwkIjE4zM8T6jqP0TkDeAJEbkK2AlcFEIZAHihvJZuVRYW59kTlhEURCQRnzF4VFWfdpprRaRIVauDOfr1Zzk1g2CEmpAZBFUtxTeUPri9Hjg5VOfti5VlteRnJDO/2KaLjMEjvqeK+4FyVf1Fr6/8o9+7CeLot6LBF5RmUcpGqIn5SOXWji5e2VbHguJchmWlRlocIzZYDFwGnCQiG53XF/AZglNFZBtwqrM9aPwxCGPyrQ6CEVpi3odt3Yd1tHf1sLA4z9JcG0FBVV8FDqVMQR/9VjS0kZoYz3CrlGaEmJgfIawsqyUzJYGFltnUiFIqPW0UZCZbHQQj5MS0Qejs7mFNeS3zxuYyKteG20Z0UtHQytDMZNKTzCAYoSWmNezNT+pp8naxoDiPxHj32b7Ozk4qKirwer2RFuWoICUlhZEjR5KYGF2R6pUNbSyekB9VU56m2+ElWLod0wZhZVkNyQlxLJ7gzumiiooKMjMzGTt2rLnDhhhVpb6+noqKCsaNGxdpcQKm2dtJk7eLwqzoWj8w3Q4fwdRt9z02B4meHmX1llrmjM6huCAj0uL0idfrJS/PYiPCgYiQl5cXdU+sfg+jaItBMN0OH8HU7Zg1CJsqPNQ2tbNwfJ6ra9DaDRM+ovFa+4PSCqLMIEB0Xu9oJVjXOmYNwkqnVObC8Vb7wIhe/IVxRudaDI0RemLSIPQulXlsUXakxXEtHo+H3/3udwPqe8UVV/DUU08FRY5ly5axfv36oBwr1qj0tJEQJ4zIMS+5/mC6PTBi0iD4S2UusFKZh2UwN40RHvxprzNTosszKtKYbg+MmDQIq7bUAlYq80jcdtttfPzxx8yaNYtbbrmFe+65h+OOO44ZM2Zw++2379/v4YcfZsaMGcycOZPLLrtsf/u6detYtGgRxcXF+5+oXn75ZZYtW8aFF17I5MmTufTSS1FVANasWcPs2bOZPn06V155Je3t7Z+T6bHHHmP69OlMmzaNW2+9dX/7/fffz6RJk1i2bBnXXHMN3/jGN2hubmbcuHF0dnYC0NTUxNixY/dvxwIVDa0MzUohPcm962BuxHR7gKiq619z587V/nD2b17R036xVhv2tferX7jZsmVLRM+/fft2nTp1qqqqrly5Uq+55hrt6enR7u5uPfPMM3Xt2rW6efNmnTRpktbV1amqan19vaqqLl++XC+88ELt7u7WsrIyHT9+vKqqvvTSS5qVlaW7du3S7u5uXbBggb7yyiva1tamI0eO1K1bt6qq6mWXXaa//OUvVVX1hBNO0HfeeUcrKyt11KhRunv3bu3s7NQTTzxR//rXv2plZaWOGTNG6+vrtaOjQ5csWaJf//rXVVX1iiuu0L/+9a+qqvqHP/xBb7rppsP+zX1dc2C9ulS35961Sq9+6J3D7uNGTLejU7djboRQ5WmjtMJXKnNImtU+CJRVq1axatUqZs+ezZw5c/jggw/Ytm0bL774IhdeeCH5+fkA5OZ+Nuo677zziIuLY8qUKdTW1u5vnzdvHiNHjiQuLo5Zs2axY8cOtm7dyrhx45g0aRIAy5cvZ926dQfI8M4777Bs2TIKCgpISEjg0ksvZd26dbz99tuccMIJ5ObmkpiYyEUXfZYx/eqrr+bBBx8E4MEHH+SrX/1qyK5RuPF2drOnpSPqXE7dhul24MTcBPsqK5U5IFSV73znO1x33XUHtP/6178+pEtbcvJnP1TqDJ0Pbo+Pj6erq+uA7w8nQ3/aARYvXsyOHTtYu3Yt3d3dTJsWcJVW1xOtMQhuw3Q7cGJuhLCyrJZROalWKjMAMjMzaW5uBuD000/ngQceoKWlBYDKykp2797NySefzBNPPEF9fT0Ae/fuHdC5Jk+ezI4dO/joo48A+POf/8wJJ5xwwD7z589n7dq17Nmzh+7ubh577DFOOOEE5s2bx9q1a2loaKCrq4sVK1Yc0O/yyy/n4osvjqnRAfQujBNdUcpuwHR7YISyhOYoEXlJRMpFpExEbnDac0VktYhsc96D9svtL5W5wEplBkReXh6LFy9m2rRprF69mksuuYSFCxcyffp0LrzwQpqbm5k6dSr/8R//wQknnMDMmTO56aabBnSulJQUHnzwQS666CKmT59OXFwcX/va1w7Yp6ioiJ/85CeceOKJzJw5kzlz5nDuuecyYsQIvvvd7zJ//nxOOeUUpkyZQnb2Z+7El156KQ0NDVx88cWDuh5uwz9CGJFjMQj9xXR7gPRnwaE/L3wlNOc4nzOBD4EpwH8BtznttwE/PdKxAl1UfnL9Lh1z6z90xfpdAe0faSK98BZNNDc3q6pqZ2ennnXWWfr000/v/+7JJ5/Ur3zlKwEdJ5oWlf/rX+U67rZ/6PY9zQH9bW7CdDtw3KTboSyhWQ1UO5+bRaQcGAGcCyxzdnsIeBm4tY9D9JuVZTVOqUxzN4017rjjDl544QW8Xi+nnXYa5513HgDf/OY3ef755/nnP/8ZYQmDT2VDG3kZyWSn2Gg3lnGTbodlUVlExuKrr/wWUOgYC9RXjHzoIfpcC1wLMHr06COeo7Wji3Uf1nHqlEKGZdsQO9b42c9+1mf7b37zmzBLEj4qPb6gNCuME9u4SbdDvqgsIhnACuBGVW0KtJ+q3quqJapaUlBQcMT9e5fKjI+ivPGGcSgqnCjlpISY8/0wXEpINU1EEvEZg0dV9WmnuVZEipzvi4DdwTjXyrJaMpOtVKYRG3R291Db5DUPIyOshNLLSID7gXJV/UWvr54FljuflwPPDPZc/lKZx42zUplGbFDT6KVHozPttRG9hHJycjFwGfC+iGx02r4L3A08ISJXATuBiw7RP2De+mQvTd4uFrq0VKZh9JeKBgtKM8JPyH49VfVVVRVVnaGqs5zXP1W1XlVPVtWJzvvAokF64S+Vucimi2KSHTt2HDFK84MPPmDhwoUkJycfcpEumvDHIAwfYg4SsYob9Trq3Rd6epRVW2qYMzqH8UPdWSrTCD25ubn8+te/5m9/+1ukRQkK/ijlMXk2BXo0E269jnqD4C+Vecm8Ma4ulXkk7vx7GVuqAnbCCogpw7O4/eypR9zvrrvu4tFHH2XUqFHk5+czd+5csrOzuffee+no6GDChAn8+c9/Ji0tjSeffJI777yT+Ph4srOzWbduHWVlZXz1q1+lo6ODnp4eVqxYQWJiImeddRabN28GfK51LS0t3HHHHSxbtoxZs2bx9ttv09TUxAMPPMC8efO44447+Pjjj6msrGTXrl18+9vf5pprrjlA1qVLl/Kb3/yGWbNmAb58L7///e+ZMWMGQ4cO5bnnngvqNYwUlZ5WctISyU2P/hiESOm26XX/ifoJ91VbfKUyF02wYLSBsH79elasWMF7773H008/vb+60/nnn88777zDpk2bOPbYY7n//vsB+OEPf8jKlSvZtGkTzz77LAD/+7//yw033MDGjRtZv349I0eOPOJ59+3bx+uvv87vfvc7rrzyyv3tpaWlPPfcc7zxxhv88Ic/pKqq6oB+V199NX/6058A+PDDD2lvb2fGjBnBuBSuwudymmIxCAPE9HpgRL22xUqpzECe5EPBq6++yrnnnktqqm+u+uyzzwZg8+bNfO9738Pj8dDS0sLpp58O+J5crrjiCr70pS9x/vnnA7Bw4UJ+/OMfU1FRwfnnn8/EiROPeF5/bpbjjz+epqYmPB4PwH5ZUlNTOfHEE3n77bf3PzUBXHTRRdx1113cc889PPDAA1xxxRVBuxZuoqKhjdG5aVE96vUTCd02vR4YUT1C+Gh3M5/UWanMwaCHSL97xRVX8Nvf/pb333+f22+/Ha/XC/iemn70ox+xa9cuZs2aRX19PZdccgnPPvssqampnH766bz44oskJCTQ09Oz/3j+/n4OTjvs3z5Uu5+0tDROPfVUnnnmGZ544gkuueSSgf3hg0BEHhCR3SKyuVfbHSJSKSIbndcXBnr8nh6lurGNwizzMBooptcDI6oNwsoyp1TmOJsuGihLlizh73//O16vl5aWlv1zlc3NzRQVFdHZ2cmjjz66f/+PP/6Y+fPn88Mf/pD8/Hx27drFJ598QnFxMddffz3nnHMOpaWlFBYWsnv3burr62lvb+cf//jHAed9/PHHAd+TXHZ29v4Mj8888wxer5f6+npefvlljjvuuM/JfPXVV3P99ddz3HHHHVDUJIz8CTijj/Zf9vaoG+jB61ra6exWCiwobcCYXg+MqH6sXllWwzGFmcwaPSTSokQtxx13HOeccw4zZ85kzJgxlJSUkJ2dzV133cX8+fMZM2YM06dP359b/pZbbmHbtm2oKieffDIzZ87k7rvv5pFHHiExMZFhw4bxgx/8gMTERH7wgx8wf/58xo0bx+TJkw84b05ODosWLdq/+OZn3rx5nHnmmezcuZPvf//7DB8+nB07dhzQd+7cuWRlZR2QI76mpoaSkhKampqIi4vjV7/6FVu2bCErKyvo10xV1zn5uUKCxSAMHtPrAdKf1KiRevWVIriru0e/+3Sp/vT58j4SwUYHbkkR7E+/u2/fPp07d65u2LAhpOfz15k9mNtvv13vueeeI/avrKzUiRMnand3d7/PHaz018BYYHOv7TuAHUAp8ACQc5i+1wLrgfWjR4/+nDzvV3j0svve1HVbd/f773MLbtDto0mvVY/ymsrxccKPvzidb58x+cg7G4fl2muvZdasWcyZM4cLLriAOXPmRFqkQ/Lwww8zf/58fvzjHxMX5yr1/T0wHpiFL+37zw+1ox4hceO0Edk8fNV8lk46clJH49CYXvcf0UMsvriJkpIS9buNxRLl5eUce+yxkRbjqKKvay4iG1S1pD/HcaaM/qGqnws1Pdx3B2O6bQSLYOi2qx6xjkaiwSDHCqG81v4Mvg5fBDYfat+jBdPt8BGsax3Vi8rRTkpKCvX19eTl5X3ODc0ILqpKfX09KSmD99wRkcfwVf3LF5EK4HZgmYjMAhTfWsJ1gz5RFGO6HT6CqdtmECLIyJEjqaiooK6uLtKiHBWkpKQEFG16JFS1r4rn9w/6wDGE6XZ4CZZum0GIIImJiYwbNy7SYhhG0DHdjk5sDcEwDMMAzCAYhmEYDmYQDMMwDCBK4hBEpA749BBf5wN7wijOoXCLHGCy9MXh5BijqhGJAjuMbrvluoHJ0hdukQOCqNtRYRAOh4is729QUSzLASaLm+UIFDfJa7K4Vw4Iriw2ZWQYhmEAZhAMwzAMh1gwCPdGWgAHt8gBJktfuEWOQHGTvCbL53GLHBBEWaJ+DcEwDMMIDrEwQjAMwzCCgBkEwzAMw0d/qumE4wWMAl4CyoEy4AanPRdYDWxz3nOc9lOBDcD7zvtJvY4112n/CPg1zhRZBOR4GdgKbHReQ0N8Teb1Otcm4IvBuCYhkGXA16W/cvTqNxpoAb4VrGsSTXptuu1uvY60bgdV6YN04xQBc5zPmcCHwBTgv4DbnPbbgJ86n2cDw53P04DKXsd6G1gICPA88G8RkuNloCSM1yQNSOjVd3ev7QFfkxDIMuDr0l85evVbATx50E0zqGsSTXptuu1uvY60bgdV6UPxAp7B94SyFSjqdcG29rGvAPVAsrPPB72+uxj4Q7jlCIaCDFKWcUAtvsy2Qb0mg5El2NclEDmA84B78NU//lavfYJ6TaJJr0233a3X4dZtV68hOKUIZwNvAYWqWg3gvA/to8sFwHuq2g6MACp6fVfhtIVbDj8PishGEfm+DKJiSKCyiMh8ESnDN1z8mqp2EcRrEgRZ/Az6ugQih4ikA7cCdx7UPajXJFjyHkRI9DoIsviJKd12i14HKkswddu1BkFEMvANgW5U1aYA9p8K/JTPKlX19U/QCMgBcKmqTgeWOq/L+itHf2VR1bdUdSpwHPAdEUkhSNckSLJAEK5LP+S4E/ilqrYcfIi+RO6vHIHiFr0OkiwQY7rtFr3upyxB021XGgQRScR3IR5V1aed5lp/3VrnfXev/UcCfwUuV9WPneYKoHcJoZFAVQTkQFUrnfdm4C/4FqT6RX9l6XXucmAfvrnfQV+TIMoy6OvSTznmA/8lIjuAG4Hvisg3CNI1CYG8IdPrIMoSU7rtFr0egCxB023XGQRneHU/UK6qv+j11bPAcufzcnzzaojIEOA54Duq+pp/Z2dI1SwiC5xjXu7vE045RCRBRPKdz4nAWfSzAPsAZBknIgnO5zHAMcCOwV6TYMoy2OvSXzlUdamqjlXVscCvgP9U1d8G45qEQt5Q6XUwZYkl3XaLXg9ElqDqdiCLGuF8AUvwDWtK+cxt6wtAGKS0lgAAAiZJREFUHrAGn8vVGiDX2f97+KzzRg5y8wJKnH/Gx8Bv6Z8bWlDkANLxueqV4nMh+28gPsTX5DLnXBuBd4Hzeh1rwNckmLIM9rr0V46D+t7BgZ4Yg7om0aTXptvu1utI67alrjAMwzAAF04ZGYZhGJHBDIJhGIYBmEEwDMMwHMwgGIZhGIAZBMMwDMPBDIJhGIYBmEE4qhGR+EjLYBihwHR7YJhBiBJE5C4RuaHX9o9F5HoRuUVE3hGRUhG5s9f3fxORDSJSJiLX9mpvEZEfishb+NLiGkZEMd12D2YQoof7ccLWRSQO+DK+lLsT8eVKmQXMFZHjnf2vVNW5+CIVrxeRPKc9HdisqvNV9dVw/gGGcQhMt11CQqQFMAJDVXeISL2IzAYKgffwZVk8zfkMkIHvJlqH70b5otM+ymmvB7rxJc0yDFdguu0ezCBEF/cBVwDDgAeAk4GfqOofeu8kIsuAU4CFqtoqIi8D/tS8XlXtDpfAhhEgptsuwKaMoou/Amfge3pa6byuFF/edERkhIgMBbKBBueGmQwsiJTAhhEgptsuwEYIUYSqdojIS4DHeRJaJSLHAm/4stvSAnwF+BfwNREpxVd2781IyWwYgWC67Q4s22kU4Sy4vQtcpKrbIi2PYQQL0213YFNGUYKITAE+AtbYDWPEEqbb7sFGCIZhGAZgIwTDMAzDwQyCYRiGAZhBMAzDMBzMIBiGYRiAGQTDMAzD4f8BId1CkvQK1XIAAAAASUVORK5CYII=", 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\n", + "image/png": 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", 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\n", 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", "text/plain": [ "
" ] diff --git a/docs/user-guide/index.rst b/docs/user-guide/index.rst index c23822033..bca7b8b31 100644 --- a/docs/user-guide/index.rst +++ b/docs/user-guide/index.rst @@ -46,46 +46,46 @@ In the table below, you will notice a x2 after some of the technology tuples. Th - [gasboiler, heatpump] - [gasCCGT, windturbine, solarPV] - [gassuply1] - - [1] + - `[1] `_ * - 2 - [A1, A2] - [R1] - [gasboiler, heatpump] - [gasCCGT, windturbine, solarPV] - [gassuply1] - - [2] + - `[2] `_ * - 3 - [A1, A2] x2 - [R1, R2] - [gasboiler, heatpump] x2 - [gasCCGT, windturbine, solarPV] x2 - [gassuply1] x2 - - [3] + - `[3] `_ * - 4 - [A1, A2] x2 - [R1, R2] - [gasboiler, heatpump] x2 - [gasCCGT, windturbine, solarPV] x2 - [gassuply1] x2 - - [4] + - `[4] `_ * - 5 - [A1, A2] x2 - [R1, R2] - [gasboiler, heatpump, electric_stove, gas_stove] x2 - [gasCCGT, windturbine, solarPV] x2 - [gassuply1] x2 - - [5] + - `[5] `_ * - 6 - [A1] - [R1] - [gasboiler, heatpump] - [gasCCGT, windturbine, solarPV] - [gassuply1] - - [6] + - `[6] `_ * - 7 - [A1] - [R1] - [gasboiler, heatpump] - [gasCCGT, windturbine] - [gassuply1] - - [7] \ No newline at end of file + - `[7] `_ \ No newline at end of file diff --git a/docs/user-guide/min-max-timeslice-constraints.ipynb b/docs/user-guide/min-max-timeslice-constraints.ipynb index ffe3e038d..88f95d8db 100644 --- a/docs/user-guide/min-max-timeslice-constraints.ipynb +++ b/docs/user-guide/min-max-timeslice-constraints.ipynb @@ -22,11 +22,11 @@ "source": [ "## Minimum timeslice\n", "\n", - "In this tutorial we will be amending the default example, which you can find [here](dead-link). Firstly, we will be imposing a minimium service factor for gasCCGT in the power sector. This is the minimum that a technology can output per timeslice. \n", + "In this tutorial we will be amending the default example, which you can find [here](https://github.com/SGIModel/MUSE_OS/tree/main/src/muse/data/example/default). Firstly, we will be imposing a minimium service factor for gasCCGT in the power sector. This is the minimum that a technology can output per timeslice. \n", "\n", "To do this, we will need to create a new `csv` file that specifies the minimum service factor per timeslice.\n", "\n", - "An example of the file can be seen below, and downloaded [here](dead-link).\n", + "An example of the file can be seen below, and downloaded [here](https://github.com/SGIModel/MUSE_OS/blob/main/src/muse/data/example/default_timeslice/technodata/power/TechnodataTimeslices.csv).\n", "\n", "|ProcessName|RegionName|Time|month|day|hour|UtilizationFactor|MinimumServiceFactor|\n", "|-|-|-|-|-|-|-|-|\n", @@ -167,7 +167,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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", 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\n", 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", 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" ] @@ -274,7 +274,7 @@ "\n", "This brings us to the end of the user guide! Using the information explained in this tutorial, or following similar steps, you will be able to create complex scenarios of your choosing.\n", "\n", - "For the full code to generate the final results, see [here INSERT LINK HERE](dead-link)." + "For the full code to generate the final results, see [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/7-min-max-timeslice-constraints/2-max-constraint)." ] } ], diff --git a/docs/user-guide/modify-timing-data.ipynb b/docs/user-guide/modify-timing-data.ipynb index 7decc4569..62cb77b32 100644 --- a/docs/user-guide/modify-timing-data.ipynb +++ b/docs/user-guide/modify-timing-data.ipynb @@ -71,7 +71,7 @@ "\n", "The `ProcessName` must be reported, but it is not binding on the results. It is just the way that the model reads the input data.\n", "\n", - "We do the same for the ```Residential2050Consumption.csv```, however this time we make the demand for heat in 2050 to both be 5 for the new timeslices. See [here INSERT LINK HERE](github-residential2050) for the full file.\n", + "We do the same for the ```Residential2050Consumption.csv```, however this time we make the demand for heat in 2050 to both be 5 for the new timeslices. See [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/4-modify-timing-data/1-modify-timeslices/technodata/preset/Residential2050Consumption.csv) for the full file.\n", " \n", "" ] @@ -117,7 +117,7 @@ }, { "data": { - "image/png": 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\n", 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", 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\n", + "image/png": 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", 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\n", 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", 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" ] @@ -243,7 +243,7 @@ "\n", "It must be noted, that this is a toy example. For modelling a real life scenario, data should be sought to ensure that these constriants remain realistic.\n", "\n", - "For the full power sector ```technodata.csv``` file click [here INSERT LINK HERE](github-power-technodata), and for the full residential sector ```technodata.csv``` file click [here INSERT LINK HERE](github-residential-technodata).\n", + "For the full power sector ```technodata.csv``` file click [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/4-modify-timing-data/2-modify-time-framework/technodata/power/Technodata.csv), and for the full residential sector ```technodata.csv``` file click [here](https://github.com/SGIModel/MUSE_OS/blob/main/docs/tutorial-code/4-modify-timing-data/2-modify-time-framework/technodata/residential/Technodata.csv).\n", "\n", "\n" @@ -263,7 +263,7 @@ }, { "data": { - "image/png": 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\n", 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", 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c/CXo5+t71sY9dyMsmZvcWLvrfllHY2bkmRBIukHS0ZJ2KoGQNAg4Grg8Z/JxwNR0fCpw/M5ss0Wq3gwzfwh9Pgz7n+yOc6xtq9kK9/4Ieu0B+3/W7cEyI6mnpP9s5LpXSTqxmeKYJamyObbVFPl+wf8e+DywQNKFkvbJc72LgW8DtTnT+kfEEoD0tfX3+/r4H5MuikdPgV4fyjoas2w9OTXpe2D0v0HvPbOOxtq2nkCjEoLWKK+EICLuiYhTgVHAQuBuSQ9LOkNSvbeoSzoGWBYRTzQmMElTJM2RNGf58uWN2URp2LgaHvwFDDoYhrf+kyFWGK2mPWxeB7N+BrseAPt+JutozC4E9pI0V9JFkr4labakZySdX7eQpH9Npz0t6S85609Ivwur6s4WSJqY/uK/XtILkq5W2oWqpMPTe+rmSbpC0gcerZH0uXT+fEk/y5l+pqSX0m3/UdIlkrpJerXue1hSd0kLG/pe3pG8LwFI6g2cDnwJeAr4NUmCcHcDq4wF/kXSQuDvwMck/RVYKmlAus0BwLL6Vo6IyyKiMiIq+/btm2+Ypeef/5skBaOnQNcW/HdYplpNe3j097B+GRzy79B9QNbRmJ0DvBIRI0i+y4YCo4ERwEGSJkjaF/gu8LGIOJDkvrg6A4BxwDEkyUWdkcA3gOHAnsBYSRXAVcBnI2J/kqf8/iM3GEm7AT8DPpbGcLCk49Pp3wPGAEcA+wBExFpgFsmleYBTgBsiYmtjDka+9xBMAx4EOgPHRsS/RMS1EfE1oN7u4SLi3IgYFBFD0iDvjYgvADcDk9PFJgM3NSbwFmHN4uQDcOgR8GEXbLE2bv0KeOhiGDIOhn0q62jMtnVkOjwFPEnypTuU5Mv5+oh4GyAiVuasc2NE1EbEc0D/nOmPR8TiiKgF5gJDgGHAqxHxUrrMVGDCNjEcDMyKiOURUQ1cnS4zGrg/IlamX/b/yFnncuCMdPwM4MrGHoB8n/W5PCLeV/BdUseI2BwRO3sjxIXAdZLOBF4DTtrJ9VuO+34CUQuVX4SK7llHY5atB38BWzfAwf8GnXfJOhqzbQn4aURc+r6J0teBaGCdzdusX9/0GpLv2nzunm1omQbXjYiHJA2RdBjQLiLm57GfeuV7yeDH9Ux7JN+dRMSsiDgmHV8REYdHxND0deWO1m+Rlj4Lc/8G+306Kelq1patWgSzL0/OlGVcwMgsx1qgrqDMncAXJXUFkDRQUj+Sx+NPTi+bI6mx2ewLwBBJe6fvTwPu32aZx4DDJPWR1A74XLrM4+n0XpLKgRO2We/PwDU04ewA7OAMgaRdgYFAJ0kjeS9L6U5y+cAacvcPkkItI06D9p2yjsYsW/f9JHk96HQX9LKSERErJD0kaT5wO/A34JH0HsB1wBci4llJFwD3S6ohuaRweiP2tUnSGcA/0i/12cAftllmiaRzgftIvm9vi4ibACT9hCRheBN4DliTs+rVJD/cr9nZuHIpoqEzISBpMskfXgnMyZm1FrgqIqY1Zef5qqysjDlz5ux4wVLx6gMw9Vg45Mtw5AXuhc2a9UH7Ftce3poPfxiXFPQ65uKSqOFhmXLHE40gqWtErEuTienAFRExPZ13InBcRJzWlH1s95sqIqYCUyWdEBE3NGVHbUZtLdz9fejSD0a4i2IzZv4wPVt2qpMBs8Y7T9LHgQrgLuBGAEm/AT4JNPlO3R1dMvhCRPyV5LrH/9t2fkT8qqkBtDrPTYc3n4KJ50J/d8lqbdzCh2DBncljt7sfmnU0Zi1WRJzVwPSvNdc+dvTztUv6Wu+jhbaN6i3Jr6Fd9kq6KC4rRqkIsxIVkZT77tLHZ8vMWoAdXTK4NH09f3vLWWrOFbBqIXzyZ+6S1eyFGbB4Nkw4K+mZ0MxKWr4dE02V1DPnfS9JVxQurBZo0xp44Oew2ygY/umsozHLVk11cras5+5wwCk+W2bWAuTbSg+IiNV1byJiFUnXjFbnoV/DhhVJl6zd+u94ebPWbO7V8PZLSSdEvffe8fJmlrl8E4IySb3q3qQdM/iCYJ133oRHfgd7He4uis22bIBZF0K/4bDfCS5vbK2epNGSHpD0YlrQ6HJJndN5n0wLkz2fzvtFznpfSIsmPZsWTrpc0vi02NJcSSvT4kVzJd1T6L8j3y/1XwIPS7o+fX8ScEFhQmqBZv0UarfCwV+CTj13vLxZa/b4pbD2TZh4NvQYmHU0ZgUlqT9JbYFTIuKRtLLhCUA3SXsClwBHR8QLaR8CU9L1jgL+G/hkRLyR9kw4maRK8Ih0mauAGRFx/Qd2XAB5JQQR8WdJTwCTSDqV+ExazMGWvQBP/RX2dRfF1obVVCd1CjasSCp87j4G9jk266jMdkjS94BTgdeBt4EnSHoBnAJ0AF4GTouIDZJOAn5AUp9gTURMAL4CTI2IRwAi6e3v+nTbFwEXRMQL6bxq4Hfprr8LnBURb6TzaoBM783L+7R/2n3jcpJOEZC0e0S8VrDIimX25bDmDajZArXVyWvNluQDrm783elb02HLe6/rl0F5Jxh1GnRwb87WwlXdD1WzoHpT8gW/dWP6uilnvG56OlRvTNrIu5TcO9Cld1Z/hbVAQ8659WKSkr/Nae7CC4/+RkMzJVWS/JofSfJ9+CRJQjAtIv6YLvNj4EzgN8D3gU+kv+jrTgfvR1K5sD77kZxhr8++6f5KRl4JgaR/IfmjdgOWAR8Cnif5g1q2J/8CS+dDWfl7Q7tyKGvf8LR25VBekbz2GAhDPwEfGpf1X2LWdIseTm6QLa+A8g7pa8ec147QoV/D88orkn44fC+NtQzjgJsiYiOApFvS6fuliUBPkn547kynPwRcJek6oNm67pe0P/AXkkJL34mIa5tr2zsj3zMEPwLGAPdExEhJk0iqMDVIUgXwANAx3c/1EfGD9IbEa0nqQy8ETk6fWsjGlFmwcRXU1oDKksejtO3Q7r1xPz5lrdlhZ8PYrye//FX2/qS4rNz//61gtvdLvoAauuP1KuD4iHha0unARICI+LKkQ4CjgbmSRgDPAgcBN9Wznbp5TzcwbxRwX0TMA0ZIugTIrBpevq17a0SsIHnaoCwi7mPHp3Y2Ax+LiAPTZY+SNAY4B5gZEUNJykqe08jYm4eU1Gbv2jc5xdmpF1T0SCqydeiSVCos75CeIfCHobVyZWXJ//sufZJ2UdE9uRRW3sH//601+idwrKSKtOzx0en0bsASSe1J7i8AQNJeEfFYRHyf5H6DwSQ3DU5OE4W65b6QVgu+CPiOpA+n08tyygD8FPiFpEE58WRaGjffMwSr04P1IHC1pGVA9fZWSG+sWJe+bZ8OARxHmm2RXHeZBZy9U1GbmZk1UUTMlnQzyS/4RSRVfdcA3yMpNbwImEeSIABcJGkoyZmFmcDTERGSTiH5cu8H1JKcHZ8WEW9J+gZwTfoYYgC3pvu+TVJf4Pb0CYPVwHzeuzxRdNstf/zuQlIXYBPJQTgV6AFcnZ412N567Uhu0Ngb+G1EnC1pdUTk9nq4KiJ61bPuFNLHM3bfffeDFi1alP9fZVZamvwgvtuDtSIl1TFFTlnhziRf5FMioqRu9iuWvM4BRsR6oC9JecWVwHU7SgbS9WrS5ykHAaMl5V3+LyIui4jKiKjs27dvvquZtUpuD2YFc5mkuSR3/N/QVpMByP8pgy+RPG5xL0l29xtJP4yIvJ6ZjIjVkmYBRwFLJQ2IiCWSBpA8tWBmZlZ0EfH5rGMoFfneJfQtYGREnB4Rk0numtzudX9Jfeue05TUCfg48AJwM0lvTKSv9d2ZaWZmZkWU702Fi4G1Oe/XkvTqtD0DgKnpfQRlJJcZZkh6BLhO0pnAayTdIJuZmVmG8k0I3gAek3QT7z0p8Hjd4xMR8attV4iIZ6inImJ678HhjY7YzMzMml2+CcEr6VCn7jR/t3qWNTMzsxYm3+JG5xc6EDMzs1Ii6Tbg8xGxOs/lh5BUJ9wv7cVwt4i4rRH7XRcRXeuZ/kPggYgoSCnkfJ8y6At8m6R2QUXd9Ij4WCGCMjMzy1pEfKoJq48AKoG8E4K0dHKD/TSkPSQWTL5PGVxN8oTAHsD5JDUIZhcoJjMzs4KT9G1JX0/H/1fSven44ZL+KmmhpD6Shkh6XtIfJT0r6a706TkkHSTp6fSG+a+k0zoAPwQ+K2mupM9KOk/SWTn7np9ut27bvyPpC2FwOv+Xkp6UNDP9UY6kqySdmI4vlHR+usw8Sfuk07tIukLSbElPSTou3+OR7z0EvSPiT5L+KyLuB+6XdH++OzEzM9uu83oUpPwx563ZXtGkB4BvAv9H8mu+Y1q/YBxJV/25ZWyHAp+LiH9Lqx2eAPwVuBL4WkTcL+kigIjYIun7QGVEfBVA0nnbiWMYcEZE/Ge6bBfgyYj4ZrqdHwBfrWe9tyNilKT/BM4CvgR8F7g3Ir6YPvr/uKR70g4Gtyvv4kbp6xJJR0saSdL7oJmZWUv1BHCQpG4kBfkeIUkMxpMkBLlejYi5OesNkdQD6Jn+UIakhHFjLIqIR3Pe15JUBYYk6Rj3wVWA90owP0FSQRjgSOCctPfFWSSX+XfPJ4h8zxD8OP3Dvwn8BugOZFGq0szMWqPt/5IviIjYKmkhcAbwMPAMMAnYC3h+m8U354zXkFQmFMmj+Pmo5v0/wityxnf0672hfdTFVMN73+cCToiIF/OM6135niE4iaQQ0vyImAQcAXx6Z3dmZmZWYh4gOd3+AMlZgS8DcyOPyn/p0wdrJNX9gj81Z/Za3v9o/kJgFICkUST35DWkDDgxHf88SZnmfN0JfC29QZH0jH5e8k0IDsh97CIiVlJPp0NmZmYtzIMkPes+EhFLSSr7bnu5YHvOAH6b3lS4MWf6fcDwupsKgRuAXdJT+f8BvLSdba4H9pX0BPAxkhsU8/UjoD3wjKT56fu85Fv++GlgYkSsSt/vAtwfEfvvRJCNVllZGXPmzCnGrswKoVnLvbo9WAtXUuWP7T353kPwS+BhSdeTXMs4GbigYFGZmZlZUeXbU+GfJc0hOXUh4DMR8VxBIzMzM7OiyfcMAWkCkHcSIGkw8GdgV5JHKC6LiF+nlxuuJXlEYiFwct2lCDMzM8tGvjcVNkY18M2I+AgwBviKpOHAOcDMiBgKzEzfm5mZWYYKlhBExJKIeDIdX0vyTOdAktLJU9PFpgLHFyoGMzMzy08hzxC8K60ANRJ4DOgfEUsgSRqAfg2sM0XSHElzli9fXowwzUqW24OZFVrBEwJJXUmev/xGRLyT73oRcVlEVEZEZd++fQsXoFkL4PZgli1JsyRV7uQ6V0l6Ne2L4ElJh0o6XdI12yzXR9JySR2bN+qdU9CEIC0ScQNwdUTU9bm8VNKAdP4AYFkhYzAzMys2Se3S0W9FxAiS++UuJak/cISkzjmLnwjcHBGbyVDBEoK028Q/Ac9HxK9yZt0MTE7HJwM3FSoGMzOzhqSlgm9NyxfPT8sUH56WDZ6XlhH+wK92Sb9PL+E9K+n8nOkLJX1f0j9JuvzP9QCwd3qm/AHg2Jx5pwDXkLG8HztshLHAacC8tKtGgO8AFwLXSToTeI0PHjQzM2tj9p+6f0HKH8+bPG97RZOOAt6MiKMB0iJ+84HDI+IlSX8m6Wb44m3W+25ErEzPAsyUdEBEPJPO2xQR49LtHZWzzrHAvHT8GpIaBddK2g34MElXx5kqWEIQEf+k4S4qDy/Ufs3MzPI0D/iFpJ8BM4B3SMoc19UZmAp8hQ8mBCdLmkLyHToAGE5SKRHeK1tc5yJJ/wMsB85Mp80AfiepO0nPv9dHRE3z/VmNU8gzBGZmZnnZwS/5gkjPAhwEfAr4KXDXjtaRtAdJdcSDI2KVpKvYfinjb0XE9dvsd6OkO0iqBp8C/Hfj/4rmU5THDs3MzEpNerp+Q0T8FfgF8FFgiKS900VOA+7fZrXuJF/6ayT1Bz7ZyN1fA/w/oD/waCO30ax8hsDMzNqq/UlO6dcCW0nuF+gB/ENSOTAb+EPuChHxtKSngGeBKuChRu77LpJLEn+KfMoOF4ETAjMza5Mi4k7gznpmjaxn2Yk546c3sL0h27yvd7l0XjVQUp2K+JKBmZmZOSEwMzMzJwRmZmaGEwIzMzPDCUEKwRUAAAjgSURBVIGZmZnhhMDMzMxwQmBmZmY4ITAzMzOcEJiZmRkFTAjSOtLLJM3PmbaLpLslLUhfexVq/2ZmZpa/Qp4huIqk1nSuc4CZETEUmJm+NzMzs4wVLCGIiAeAldtMPo6kmAPp6/GF2r+ZmZnlr9j3EPSPiCUA6Wu/hhaUNEXSHElzli9fXrQAzUqR24OZFVrJ3lQYEZdFRGVEVPbtW1IFocyKzu3BzAqt2AnBUkkDANLXZUXev5mZmdWj2AnBzcDkdHwycFOR929mZmb1KORjh9cAjwDDJC2WdCZwIXCEpAXAEel7MzMzy1h5oTYcEZ9rYNbhhdqnmZmZNU7J3lRoZmZmxeOEwMzMzJwQmJmZmRMCMzMzwwmBmZmZ4YTAzMzMcEJgZmZmOCEwMzMznBCYmZkZTgjMzMwMJwRmZmaGEwIzMzOjgMWNtkfSUcCvgXbA5RHR6KqHX7/mKRYsW9tssTVGx/J29OzUnh6d29OjUwNDzrxO7dshKdOYrXX6y6OLuOax1wgisxjalZXRo1M5PTt1oHtOG+hZT/vo3qk93TqWU1bm9mCWtaInBJLaAb8lKX+8GJgt6eaIeK4x2+vbrSNL39nUnCHulAjYUlPL4lUbeeGttazbXM36zdXb/TguL9O7H5Q9O7Xno3v35luf2KdoMVvr1b2inG4VmeT579paE7y9dgsL397A+s3VrNtcTXVtwy2iTNC1Yznd06ShZ6cOXHnGwbRv5xOYZsWUxSfHaODliKgCkPR34DigUQnB944Z3oyhNV5tbbClppYtNbVs2lrDqvVbWLV+CyvWb2HV+q2s3VzNuk3Jh2PusH5zNW+t2Zx1+NZKHDdiIMeNGJh1GEQEW2vSNrG1hnc2VbNi/WZWrEvaxZpN1ayvpz2s21zNqg1b2FpT64TArMiySAgGAq/nvF8MHLLtQpKmAFMAdt999+JE1gRlZaKirB0V7dvRvaI9/bpVZB2StSItrT1IokO56FBeBh3L2aVrR4b06ZJ1WGa2HVmk4PVdLPzA+cSIuCwiKiOism/fvkUIy6x0uT2YWaFlkRAsBgbnvB8EvJlBHGZmZpbKIiGYDQyVtIekDsApwM0ZxGFmZmapot9DEBHVkr4K3Eny2OEVEfFsseMwMzOz92TyfFJE3AbclsW+zczM7IMUkV0HJvmStBxYtJ1F+gBvFymcxnB8TdPS43s7Io5qrp25PRSc42uaorYHaz4tIiHYEUlzIqIy6zga4viaxvHtnFKLZ1uOr2kcnxWKe/4wMzMzJwRmZmbWehKCy7IOYAccX9M4vp1TavFsy/E1jeOzgmgV9xCYmZlZ07SWMwRmZmbWBE4IzMzMrDQTAkmDJd0n6XlJz0r6r3T6LpLulrQgfe2VTj9C0hOS5qWvH8vZ1kHp9Jcl/Z+k+oorZRnfLEkvSpqbDv0yiG90zv6flvTpnG2VwvHbXnyZH7+c9XaXtE7SWTnTmnz83B6KHp/bQxPiy1mvIO3BCigiSm4ABgCj0vFuwEvAcODnwDnp9HOAn6XjI4Hd0vH9gDdytvU4cChJlcXbgU+WWHyzgMqMj19noDxn3WU570vh+G0vvsyPX856NwD/AM5qzv9/bg8l9f+tFI5fm24PHgo3ZB5AXkHCTcARwIvAgHTaAODFepYVsALomC7zQs68zwGXlkp86ftmb8BNjG8PYClJt9alePzeja+Ujh9wPHARcF7dB2Chjp/bg9tDffGV0vErZnvw0HxDSV4yyCVpCMkviseA/hGxBCB9re902AnAUxGxGRhIUm65zuJ0WqnEV+fK9PTe95r7FFq+8Uk6RNKzwDzgyxFRTQkdvwbiq5Pp8ZPUBTgbOH+b1Zv9+Lk9FCc+t4fGx1fM9mDNq6QTAkldSU47fSMi3slj+X2BnwH/XjepnsWa7TnLZogP4NSI2B8Ynw6nZRFfRDwWEfsCBwPnSqqghI5fA/FBaRy/84H/jYh1226inmUbffzcHooXn9tDk+IrSnuw5leyCYGk9iT/+a6OiGnp5KWSBqTz666d1S0/CJgO/GtEvJJOXgwMytnsIODNEoqPiHgjfV0L/A0YnUV8OfE8D6wnubZbMsevgfhK5fgdAvxc0kLgG8B3lJT4brbj5/ZQ3Phy4nF72Pn4Ct4erDBKMiFIT3P9CXg+In6VM+tmYHI6PpnkWhaSegK3AudGxEN1C6ensdZKGpNu81/r1imF+CSVS+qTjrcHjgHmZxDfHpLK0/EPAcOAhSV0/OqNr1SOX0SMj4ghETEEuBj4SURc0lzHz+2h6PG5PTQhvkK3ByugQt2c0JQBGEdyKukZYG46fAroDcwEFqSvu6TL/w9Jljw3Z+iXzqskaRSvAJdA0jtjKcQHdAGeSLfzLPBroF0G8Z2W7n8u8CRwfM62SuH41RtfqRy/bdY9j/ffVd3k4+f2UBr/30ro+LXp9uChcIO7LjYzM7PSvGRgZmZmxeWEwMzMzJwQmJmZmRMCMzMzwwmBmZmZ4YTAzMzMcEJgO0FSu6xjMCsVbg/W2jghaKUk/Uhp3fL0/QWSvi7pW5JmS3pG0vk5829UUpv+WUlTcqavk/RDSY+RlC01a3HcHsx2zAlB6/Un0m5FJZUBp5CUSR1K0r/5COAgSRPS5b8YEQeR9CT2dUm90+ldgPkRcUhE/LOYf4BZM3J7MNuB8qwDsMKIiIWSVkgaCfQHniKpjHZkOg7QleQD8QGSD71Pp9MHp9NXADUkRU3MWiy3B7Mdc0LQul0OnA7sClwBHA78NCIuzV1I0kTg48ChEbFB0iygrpzqpoioKVbAZgXk9mC2Hb5k0LpNB44i+SV0Zzp8UUldcyQNlNQP6AGsSj/89gHGZBWwWQG5PZhth88QtGIRsUXSfcDq9FfNXZI+AjySVB9lHfAF4A7gy5KeAV4EHs0qZrNCcXsw2z5XO2zF0punngROiogFWcdjliW3B7Pt8yWDVkrScOBlYKY//Kytc3sw2zGfITAzMzOfITAzMzMnBGZmZoYTAjMzM8MJgZmZmeGEwMzMzID/D5TvTu2BeSmEAAAAAElFTkSuQmCC\n", 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c/CXo5+t71sY9dyMsmZvcWLvrfllHY2bkmRBIukHS0ZJ2KoGQNAg4Grg8Z/JxwNR0fCpw/M5ss0Wq3gwzfwh9Pgz7n+yOc6xtq9kK9/4Ieu0B+3/W7cEyI6mnpP9s5LpXSTqxmeKYJamyObbVFPl+wf8e+DywQNKFkvbJc72LgW8DtTnT+kfEEoD0tfX3+/r4H5MuikdPgV4fyjoas2w9OTXpe2D0v0HvPbOOxtq2nkCjEoLWKK+EICLuiYhTgVHAQuBuSQ9LOkNSvbeoSzoGWBYRTzQmMElTJM2RNGf58uWN2URp2LgaHvwFDDoYhrf+kyFWGK2mPWxeB7N+BrseAPt+JutozC4E9pI0V9JFkr4labakZySdX7eQpH9Npz0t6S85609Ivwur6s4WSJqY/uK/XtILkq5W2oWqpMPTe+rmSbpC0gcerZH0uXT+fEk/y5l+pqSX0m3/UdIlkrpJerXue1hSd0kLG/pe3pG8LwFI6g2cDnwJeAr4NUmCcHcDq4wF/kXSQuDvwMck/RVYKmlAus0BwLL6Vo6IyyKiMiIq+/btm2+Ypeef/5skBaOnQNcW/HdYplpNe3j097B+GRzy79B9QNbRmJ0DvBIRI0i+y4YCo4ERwEGSJkjaF/gu8LGIOJDkvrg6A4BxwDEkyUWdkcA3gOHAnsBYSRXAVcBnI2J/kqf8/iM3GEm7AT8DPpbGcLCk49Pp3wPGAEcA+wBExFpgFsmleYBTgBsiYmtjDka+9xBMAx4EOgPHRsS/RMS1EfE1oN7u4SLi3IgYFBFD0iDvjYgvADcDk9PFJgM3NSbwFmHN4uQDcOgR8GEXbLE2bv0KeOhiGDIOhn0q62jMtnVkOjwFPEnypTuU5Mv5+oh4GyAiVuasc2NE1EbEc0D/nOmPR8TiiKgF5gJDgGHAqxHxUrrMVGDCNjEcDMyKiOURUQ1cnS4zGrg/IlamX/b/yFnncuCMdPwM4MrGHoB8n/W5PCLeV/BdUseI2BwRO3sjxIXAdZLOBF4DTtrJ9VuO+34CUQuVX4SK7llHY5atB38BWzfAwf8GnXfJOhqzbQn4aURc+r6J0teBaGCdzdusX9/0GpLv2nzunm1omQbXjYiHJA2RdBjQLiLm57GfeuV7yeDH9Ux7JN+dRMSsiDgmHV8REYdHxND0deWO1m+Rlj4Lc/8G+306Kelq1patWgSzL0/OlGVcwMgsx1qgrqDMncAXJXUFkDRQUj+Sx+NPTi+bI6mx2ewLwBBJe6fvTwPu32aZx4DDJPWR1A74XLrM4+n0XpLKgRO2We/PwDU04ewA7OAMgaRdgYFAJ0kjeS9L6U5y+cAacvcPkkItI06D9p2yjsYsW/f9JHk96HQX9LKSERErJD0kaT5wO/A34JH0HsB1wBci4llJFwD3S6ohuaRweiP2tUnSGcA/0i/12cAftllmiaRzgftIvm9vi4ibACT9hCRheBN4DliTs+rVJD/cr9nZuHIpoqEzISBpMskfXgnMyZm1FrgqIqY1Zef5qqysjDlz5ux4wVLx6gMw9Vg45Mtw5AXuhc2a9UH7Ftce3poPfxiXFPQ65uKSqOFhmXLHE40gqWtErEuTienAFRExPZ13InBcRJzWlH1s95sqIqYCUyWdEBE3NGVHbUZtLdz9fejSD0a4i2IzZv4wPVt2qpMBs8Y7T9LHgQrgLuBGAEm/AT4JNPlO3R1dMvhCRPyV5LrH/9t2fkT8qqkBtDrPTYc3n4KJ50J/d8lqbdzCh2DBncljt7sfmnU0Zi1WRJzVwPSvNdc+dvTztUv6Wu+jhbaN6i3Jr6Fd9kq6KC4rRqkIsxIVkZT77tLHZ8vMWoAdXTK4NH09f3vLWWrOFbBqIXzyZ+6S1eyFGbB4Nkw4K+mZ0MxKWr4dE02V1DPnfS9JVxQurBZo0xp44Oew2ygY/umsozHLVk11cras5+5wwCk+W2bWAuTbSg+IiNV1byJiFUnXjFbnoV/DhhVJl6zd+u94ebPWbO7V8PZLSSdEvffe8fJmlrl8E4IySb3q3qQdM/iCYJ133oRHfgd7He4uis22bIBZF0K/4bDfCS5vbK2epNGSHpD0YlrQ6HJJndN5n0wLkz2fzvtFznpfSIsmPZsWTrpc0vi02NJcSSvT4kVzJd1T6L8j3y/1XwIPS7o+fX8ScEFhQmqBZv0UarfCwV+CTj13vLxZa/b4pbD2TZh4NvQYmHU0ZgUlqT9JbYFTIuKRtLLhCUA3SXsClwBHR8QLaR8CU9L1jgL+G/hkRLyR9kw4maRK8Ih0mauAGRFx/Qd2XAB5JQQR8WdJTwCTSDqV+ExazMGWvQBP/RX2dRfF1obVVCd1CjasSCp87j4G9jk266jMdkjS94BTgdeBt4EnSHoBnAJ0AF4GTouIDZJOAn5AUp9gTURMAL4CTI2IRwAi6e3v+nTbFwEXRMQL6bxq4Hfprr8LnBURb6TzaoBM783L+7R/2n3jcpJOEZC0e0S8VrDIimX25bDmDajZArXVyWvNluQDrm783elb02HLe6/rl0F5Jxh1GnRwb87WwlXdD1WzoHpT8gW/dWP6uilnvG56OlRvTNrIu5TcO9Cld1Z/hbVAQ8659WKSkr/Nae7CC4/+RkMzJVWS/JofSfJ9+CRJQjAtIv6YLvNj4EzgN8D3gU+kv+jrTgfvR1K5sD77kZxhr8++6f5KRl4JgaR/IfmjdgOWAR8Cnif5g1q2J/8CS+dDWfl7Q7tyKGvf8LR25VBekbz2GAhDPwEfGpf1X2LWdIseTm6QLa+A8g7pa8ec147QoV/D88orkn44fC+NtQzjgJsiYiOApFvS6fuliUBPkn547kynPwRcJek6oNm67pe0P/AXkkJL34mIa5tr2zsj3zMEPwLGAPdExEhJk0iqMDVIUgXwANAx3c/1EfGD9IbEa0nqQy8ETk6fWsjGlFmwcRXU1oDKksejtO3Q7r1xPz5lrdlhZ8PYrye//FX2/qS4rNz//61gtvdLvoAauuP1KuD4iHha0unARICI+LKkQ4CjgbmSRgDPAgcBN9Wznbp5TzcwbxRwX0TMA0ZIugTIrBpevq17a0SsIHnaoCwi7mPHp3Y2Ax+LiAPTZY+SNAY4B5gZEUNJykqe08jYm4eU1Gbv2jc5xdmpF1T0SCqydeiSVCos75CeIfCHobVyZWXJ//sufZJ2UdE9uRRW3sH//601+idwrKSKtOzx0en0bsASSe1J7i8AQNJeEfFYRHyf5H6DwSQ3DU5OE4W65b6QVgu+CPiOpA+n08tyygD8FPiFpEE58WRaGjffMwSr04P1IHC1pGVA9fZWSG+sWJe+bZ8OARxHmm2RXHeZBZy9U1GbmZk1UUTMlnQzyS/4RSRVfdcA3yMpNbwImEeSIABcJGkoyZmFmcDTERGSTiH5cu8H1JKcHZ8WEW9J+gZwTfoYYgC3pvu+TVJf4Pb0CYPVwHzeuzxRdNstf/zuQlIXYBPJQTgV6AFcnZ412N567Uhu0Ngb+G1EnC1pdUTk9nq4KiJ61bPuFNLHM3bfffeDFi1alP9fZVZamvwgvtuDtSIl1TFFTlnhziRf5FMioqRu9iuWvM4BRsR6oC9JecWVwHU7SgbS9WrS5ykHAaMl5V3+LyIui4jKiKjs27dvvquZtUpuD2YFc5mkuSR3/N/QVpMByP8pgy+RPG5xL0l29xtJP4yIvJ6ZjIjVkmYBRwFLJQ2IiCWSBpA8tWBmZlZ0EfH5rGMoFfneJfQtYGREnB4Rk0numtzudX9Jfeue05TUCfg48AJwM0lvTKSv9d2ZaWZmZkWU702Fi4G1Oe/XkvTqtD0DgKnpfQRlJJcZZkh6BLhO0pnAayTdIJuZmVmG8k0I3gAek3QT7z0p8Hjd4xMR8attV4iIZ6inImJ678HhjY7YzMzMml2+CcEr6VCn7jR/t3qWNTMzsxYm3+JG5xc6EDMzs1Ii6Tbg8xGxOs/lh5BUJ9wv7cVwt4i4rRH7XRcRXeuZ/kPggYgoSCnkfJ8y6At8m6R2QUXd9Ij4WCGCMjMzy1pEfKoJq48AKoG8E4K0dHKD/TSkPSQWTL5PGVxN8oTAHsD5JDUIZhcoJjMzs4KT9G1JX0/H/1fSven44ZL+KmmhpD6Shkh6XtIfJT0r6a706TkkHSTp6fSG+a+k0zoAPwQ+K2mupM9KOk/SWTn7np9ut27bvyPpC2FwOv+Xkp6UNDP9UY6kqySdmI4vlHR+usw8Sfuk07tIukLSbElPSTou3+OR7z0EvSPiT5L+KyLuB+6XdH++OzEzM9uu83oUpPwx563ZXtGkB4BvAv9H8mu+Y1q/YBxJV/25ZWyHAp+LiH9Lqx2eAPwVuBL4WkTcL+kigIjYIun7QGVEfBVA0nnbiWMYcEZE/Ge6bBfgyYj4ZrqdHwBfrWe9tyNilKT/BM4CvgR8F7g3Ir6YPvr/uKR70g4Gtyvv4kbp6xJJR0saSdL7oJmZWUv1BHCQpG4kBfkeIUkMxpMkBLlejYi5OesNkdQD6Jn+UIakhHFjLIqIR3Pe15JUBYYk6Rj3wVWA90owP0FSQRjgSOCctPfFWSSX+XfPJ4h8zxD8OP3Dvwn8BugOZFGq0szMWqPt/5IviIjYKmkhcAbwMPAMMAnYC3h+m8U354zXkFQmFMmj+Pmo5v0/wityxnf0672hfdTFVMN73+cCToiIF/OM6135niE4iaQQ0vyImAQcAXx6Z3dmZmZWYh4gOd3+AMlZgS8DcyOPyn/p0wdrJNX9gj81Z/Za3v9o/kJgFICkUST35DWkDDgxHf88SZnmfN0JfC29QZH0jH5e8k0IDsh97CIiVlJPp0NmZmYtzIMkPes+EhFLSSr7bnu5YHvOAH6b3lS4MWf6fcDwupsKgRuAXdJT+f8BvLSdba4H9pX0BPAxkhsU8/UjoD3wjKT56fu85Fv++GlgYkSsSt/vAtwfEfvvRJCNVllZGXPmzCnGrswKoVnLvbo9WAtXUuWP7T353kPwS+BhSdeTXMs4GbigYFGZmZlZUeXbU+GfJc0hOXUh4DMR8VxBIzMzM7OiyfcMAWkCkHcSIGkw8GdgV5JHKC6LiF+nlxuuJXlEYiFwct2lCDMzM8tGvjcVNkY18M2I+AgwBviKpOHAOcDMiBgKzEzfm5mZWYYKlhBExJKIeDIdX0vyTOdAktLJU9PFpgLHFyoGMzMzy08hzxC8K60ANRJ4DOgfEUsgSRqAfg2sM0XSHElzli9fXowwzUqW24OZFVrBEwJJXUmev/xGRLyT73oRcVlEVEZEZd++fQsXoFkL4PZgli1JsyRV7uQ6V0l6Ne2L4ElJh0o6XdI12yzXR9JySR2bN+qdU9CEIC0ScQNwdUTU9bm8VNKAdP4AYFkhYzAzMys2Se3S0W9FxAiS++UuJak/cISkzjmLnwjcHBGbyVDBEoK028Q/Ac9HxK9yZt0MTE7HJwM3FSoGMzOzhqSlgm9NyxfPT8sUH56WDZ6XlhH+wK92Sb9PL+E9K+n8nOkLJX1f0j9JuvzP9QCwd3qm/AHg2Jx5pwDXkLG8HztshLHAacC8tKtGgO8AFwLXSToTeI0PHjQzM2tj9p+6f0HKH8+bPG97RZOOAt6MiKMB0iJ+84HDI+IlSX8m6Wb44m3W+25ErEzPAsyUdEBEPJPO2xQR49LtHZWzzrHAvHT8GpIaBddK2g34MElXx5kqWEIQEf+k4S4qDy/Ufs3MzPI0D/iFpJ8BM4B3SMoc19UZmAp8hQ8mBCdLmkLyHToAGE5SKRHeK1tc5yJJ/wMsB85Mp80AfiepO0nPv9dHRE3z/VmNU8gzBGZmZnnZwS/5gkjPAhwEfAr4KXDXjtaRtAdJdcSDI2KVpKvYfinjb0XE9dvsd6OkO0iqBp8C/Hfj/4rmU5THDs3MzEpNerp+Q0T8FfgF8FFgiKS900VOA+7fZrXuJF/6ayT1Bz7ZyN1fA/w/oD/waCO30ax8hsDMzNqq/UlO6dcCW0nuF+gB/ENSOTAb+EPuChHxtKSngGeBKuChRu77LpJLEn+KfMoOF4ETAjMza5Mi4k7gznpmjaxn2Yk546c3sL0h27yvd7l0XjVQUp2K+JKBmZmZOSEwMzMzJwRmZmaGEwIzMzPDCUEKwRUAAAjgSURBVIGZmZnhhMDMzMxwQmBmZmY4ITAzMzOcEJiZmRkFTAjSOtLLJM3PmbaLpLslLUhfexVq/2ZmZpa/Qp4huIqk1nSuc4CZETEUmJm+NzMzs4wVLCGIiAeAldtMPo6kmAPp6/GF2r+ZmZnlr9j3EPSPiCUA6Wu/hhaUNEXSHElzli9fXrQAzUqR24OZFVrJ3lQYEZdFRGVEVPbtW1IFocyKzu3BzAqt2AnBUkkDANLXZUXev5mZmdWj2AnBzcDkdHwycFOR929mZmb1KORjh9cAjwDDJC2WdCZwIXCEpAXAEel7MzMzy1h5oTYcEZ9rYNbhhdqnmZmZNU7J3lRoZmZmxeOEwMzMzJwQmJmZmRMCMzMzwwmBmZmZ4YTAzMzMcEJgZmZmOCEwMzMznBCYmZkZTgjMzMwMJwRmZmaGEwIzMzOjgMWNtkfSUcCvgXbA5RHR6KqHX7/mKRYsW9tssTVGx/J29OzUnh6d29OjUwNDzrxO7dshKdOYrXX6y6OLuOax1wgisxjalZXRo1M5PTt1oHtOG+hZT/vo3qk93TqWU1bm9mCWtaInBJLaAb8lKX+8GJgt6eaIeK4x2+vbrSNL39nUnCHulAjYUlPL4lUbeeGttazbXM36zdXb/TguL9O7H5Q9O7Xno3v35luf2KdoMVvr1b2inG4VmeT579paE7y9dgsL397A+s3VrNtcTXVtwy2iTNC1Yznd06ShZ6cOXHnGwbRv5xOYZsWUxSfHaODliKgCkPR34DigUQnB944Z3oyhNV5tbbClppYtNbVs2lrDqvVbWLV+CyvWb2HV+q2s3VzNuk3Jh2PusH5zNW+t2Zx1+NZKHDdiIMeNGJh1GEQEW2vSNrG1hnc2VbNi/WZWrEvaxZpN1ayvpz2s21zNqg1b2FpT64TArMiySAgGAq/nvF8MHLLtQpKmAFMAdt999+JE1gRlZaKirB0V7dvRvaI9/bpVZB2StSItrT1IokO56FBeBh3L2aVrR4b06ZJ1WGa2HVmk4PVdLPzA+cSIuCwiKiOism/fvkUIy6x0uT2YWaFlkRAsBgbnvB8EvJlBHGZmZpbKIiGYDQyVtIekDsApwM0ZxGFmZmapot9DEBHVkr4K3Eny2OEVEfFsseMwMzOz92TyfFJE3AbclsW+zczM7IMUkV0HJvmStBxYtJ1F+gBvFymcxnB8TdPS43s7Io5qrp25PRSc42uaorYHaz4tIiHYEUlzIqIy6zga4viaxvHtnFKLZ1uOr2kcnxWKe/4wMzMzJwRmZmbWehKCy7IOYAccX9M4vp1TavFsy/E1jeOzgmgV9xCYmZlZ07SWMwRmZmbWBE4IzMzMrDQTAkmDJd0n6XlJz0r6r3T6LpLulrQgfe2VTj9C0hOS5qWvH8vZ1kHp9Jcl/Z+k+oorZRnfLEkvSpqbDv0yiG90zv6flvTpnG2VwvHbXnyZH7+c9XaXtE7SWTnTmnz83B6KHp/bQxPiy1mvIO3BCigiSm4ABgCj0vFuwEvAcODnwDnp9HOAn6XjI4Hd0vH9gDdytvU4cChJlcXbgU+WWHyzgMqMj19noDxn3WU570vh+G0vvsyPX856NwD/AM5qzv9/bg8l9f+tFI5fm24PHgo3ZB5AXkHCTcARwIvAgHTaAODFepYVsALomC7zQs68zwGXlkp86ftmb8BNjG8PYClJt9alePzeja+Ujh9wPHARcF7dB2Chjp/bg9tDffGV0vErZnvw0HxDSV4yyCVpCMkviseA/hGxBCB9re902AnAUxGxGRhIUm65zuJ0WqnEV+fK9PTe95r7FFq+8Uk6RNKzwDzgyxFRTQkdvwbiq5Pp8ZPUBTgbOH+b1Zv9+Lk9FCc+t4fGx1fM9mDNq6QTAkldSU47fSMi3slj+X2BnwH/XjepnsWa7TnLZogP4NSI2B8Ynw6nZRFfRDwWEfsCBwPnSqqghI5fA/FBaRy/84H/jYh1226inmUbffzcHooXn9tDk+IrSnuw5leyCYGk9iT/+a6OiGnp5KWSBqTz666d1S0/CJgO/GtEvJJOXgwMytnsIODNEoqPiHgjfV0L/A0YnUV8OfE8D6wnubZbMsevgfhK5fgdAvxc0kLgG8B3lJT4brbj5/ZQ3Phy4nF72Pn4Ct4erDBKMiFIT3P9CXg+In6VM+tmYHI6PpnkWhaSegK3AudGxEN1C6ensdZKGpNu81/r1imF+CSVS+qTjrcHjgHmZxDfHpLK0/EPAcOAhSV0/OqNr1SOX0SMj4ghETEEuBj4SURc0lzHz+2h6PG5PTQhvkK3ByugQt2c0JQBGEdyKukZYG46fAroDcwEFqSvu6TL/w9Jljw3Z+iXzqskaRSvAJdA0jtjKcQHdAGeSLfzLPBroF0G8Z2W7n8u8CRwfM62SuH41RtfqRy/bdY9j/ffVd3k4+f2UBr/30ro+LXp9uChcIO7LjYzM7PSvGRgZmZmxeWEwMzMzJwQmJmZmRMCMzMzwwmBmZmZ4YTAzMzMcEJgO0FSu6xjMCsVbg/W2jghaKUk/Uhp3fL0/QWSvi7pW5JmS3pG0vk5829UUpv+WUlTcqavk/RDSY+RlC01a3HcHsx2zAlB6/Un0m5FJZUBp5CUSR1K0r/5COAgSRPS5b8YEQeR9CT2dUm90+ldgPkRcUhE/LOYf4BZM3J7MNuB8qwDsMKIiIWSVkgaCfQHniKpjHZkOg7QleQD8QGSD71Pp9MHp9NXADUkRU3MWiy3B7Mdc0LQul0OnA7sClwBHA78NCIuzV1I0kTg48ChEbFB0iygrpzqpoioKVbAZgXk9mC2Hb5k0LpNB44i+SV0Zzp8UUldcyQNlNQP6AGsSj/89gHGZBWwWQG5PZhth88QtGIRsUXSfcDq9FfNXZI+AjySVB9lHfAF4A7gy5KeAV4EHs0qZrNCcXsw2z5XO2zF0punngROiogFWcdjliW3B7Pt8yWDVkrScOBlYKY//Kytc3sw2zGfITAzMzOfITAzMzMnBGZmZoYTAjMzM8MJgZmZmeGEwMzMzID/D5TvTu2BeSmEAAAAAElFTkSuQmCC", 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\n", 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", 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" ] diff --git a/docs/user-guide/trade.ipynb b/docs/user-guide/trade.ipynb index ca51c067f..8d1a8937e 100644 --- a/docs/user-guide/trade.ipynb +++ b/docs/user-guide/trade.ipynb @@ -13,7 +13,7 @@ "source": [ "In this example we will introduce trade between two regions. Often, there exists trade between countries, regions within countries or between regions of countries (e.g. Latin America). This could be the trading of commodities such as gas or electricity in the form of imports and exports. MUSE is able to model this trade between regions to add further realism.\n", "\n", - "To keep this example straightforward we will start from the case study created in the [add a region](add-region.ipynb) tutorial. This can be downloaded [here](dead-link)." + "To keep this example straightforward we will start from the case study created in the [add a region](add-region.ipynb) tutorial. This can be downloaded [here](https://github.com/SGIModel/MUSE_OS/tree/main/docs/tutorial-code/3-add-region)." ] }, {