Replace _ with - in technology_data and prenetworks_brownfield
Preferred by kubernetes. Also updated the documentation accordingly.
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@ -313,7 +313,7 @@ if config["foresight"] == "myopic":
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costs=config['costs_dir'] + "costs_{}.csv".format(config['scenario']['planning_horizons'][0]),
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cop_soil_total="resources/cop_soil_total_{network}_s{simpl}_{clusters}.nc",
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cop_air_total="resources/cop_air_total_{network}_s{simpl}_{clusters}.nc"
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output: config['results_dir'] + config['run'] + '/prenetworks_brownfield/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc'
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output: config['results_dir'] + config['run'] + '/prenetworks-brownfield/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc'
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wildcard_constraints:
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planning_horizons=config['scenario']['planning_horizons'][0] #only applies to baseyear
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threads: 1
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@ -333,7 +333,7 @@ if config["foresight"] == "myopic":
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cop_soil_total="resources/cop_soil_total_{network}_s{simpl}_{clusters}.nc",
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cop_air_total="resources/cop_air_total_{network}_s{simpl}_{clusters}.nc"
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output: config['results_dir'] + config['run'] + "/prenetworks_brownfield/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc"
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output: config['results_dir'] + config['run'] + "/prenetworks-brownfield/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc"
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threads: 4
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resources: mem_mb=2000
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script: "scripts/add_brownfield.py"
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@ -342,7 +342,7 @@ if config["foresight"] == "myopic":
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rule solve_network_myopic:
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input:
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network=config['results_dir'] + config['run'] + "/prenetworks_brownfield/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc",
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network=config['results_dir'] + config['run'] + "/prenetworks-brownfield/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc",
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costs=config['costs_dir'] + "costs_{planning_horizons}.csv",
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config=config['summary_dir'] + '/' + config['run'] + '/configs/config.yaml'
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output: config['results_dir'] + config['run'] + "/postnetworks/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_{co2_budget_name}_{planning_horizons}.nc"
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@ -2,7 +2,7 @@ logging_level: INFO
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results_dir: 'results/'
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summary_dir: results
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costs_dir: '../technology_data/outputs/'
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costs_dir: '../technology-data/outputs/'
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run: 'your-run-name' # use this to keep track of runs with different settings
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foresight: 'overnight' #options are overnight, myopic, perfect (perfect is not yet implemented)
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@ -2,7 +2,7 @@ logging_level: INFO
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results_dir: 'results/'
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summary_dir: results
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costs_dir: '../technology_data/outputs/'
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costs_dir: '../technology-data/outputs/'
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run: 'your-run-name' # use this to keep track of runs with different settings
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foresight: 'myopic' #options are overnight, myopic, perfect (perfect is not yet implemented)
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@ -116,15 +116,17 @@ Documentation
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installation
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**Myopic transition path**
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**Foresight options**
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* :doc:`overnight`
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* :doc:`myopic`
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.. toctree::
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:hidden:
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:maxdepth: 1
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:caption: Myopic transition path
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:caption: Foresight options
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overnight
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myopic
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**References**
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@ -7,8 +7,8 @@ Installation
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The subsequently described installation steps are demonstrated as shell commands, where the path before the ``%`` sign denotes the
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directory in which the commands following the ``%`` should be entered.
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Install PyPSA-Eur
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=================
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Install PyPSA-Eur and its data
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==============================
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First install `PyPSA-Eur <https://github.com/PyPSA/pypsa-eur>`_ and all
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its dependencies. Clone the repository:
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@ -21,6 +21,16 @@ its dependencies. Clone the repository:
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then download and unpack all the PyPSA-Eur data files.
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Clone technology-data repository
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================================
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Create a parallel directory for the technology costs and other assumptions:
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.. code:: bash
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projects % git clone git@github.com:PyPSA/technology-data.git
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Clone PyPSA-Eur-Sec repository
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==============================
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@ -61,7 +71,10 @@ To download and extract it on the command line:
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Set up the default configuration
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================================
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First make your own copy of the ``config.yaml``:
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First make your own copy of the ``config.yaml``. For overnight
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scenarios, use ``config.default.yaml``. For a pathway optimization
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with myopic foresight (which is still experimental), use
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``config.myopic.yaml``. For example:
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.. code:: bash
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@ -81,7 +94,7 @@ To run the full optimization with your settings:
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.. code:: bash
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projects/pypsa-eur-sec % snakemake
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projects/pypsa-eur-sec % snakemake -j1
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Warning: you may need a computer cluster for this (with e.g. 10-100 GB of RAM
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and several processors).
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@ -90,4 +103,4 @@ To only prepare the networks, you can run the scripts up to the point before opt
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.. code:: bash
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projects/pypsa-eur-sec % snakemake prepare_sector_networks
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projects/pypsa-eur-sec % snakemake -j1 prepare_sector_networks
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@ -17,13 +17,11 @@ The transport sector and industry are not affected by the myopic code. In essenc
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Configuration
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=================
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PyPSA-Eur-Sec has several configuration options which are collected in a config.yaml file located in the root directory. Users should copy the provided default configuration (`config.default.yaml <https://github.com/martavp/pypsa-eur-sec/blob/master/config.default.yaml>`__) and amend their own modifications and assumptions in the user-specific configuration file (config.yaml).
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PyPSA-Eur-Sec has several configuration options which are collected in a config.yaml file located in the root directory. For myopic optimization, users should copy the provided myopic configuration ``config.myopic.yaml`` and make their own modifications and assumptions in the user-specific configuration file (``config.yaml``).
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The following options included in the config.yaml file are relevant for the myopic code.
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To activate the myopic option select
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foresight: 'myopic'
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To activate the myopic option select ``foresight: 'myopic'`` in ``config.yaml``.
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@ -76,19 +74,19 @@ General myopic code structure
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The myopic code solves the network for the time steps included in planning_horizons in a recursive loop, so that:
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1.The existing capacities (those installed before the base year are added as fixed capacities with p_nom=value, p_nom_extendable=False). E.g. for baseyear=2020, capacities installed before 2020 are added. In addition, the network comprises additional generator, storage, and link capacities with p_nom_extendable=True. The non-solved network is saved in ‘results/run_name/networks/prenetworks_bronwfield’.
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1.The existing capacities (those installed before the base year are added as fixed capacities with p_nom=value, p_nom_extendable=False). E.g. for baseyear=2020, capacities installed before 2020 are added. In addition, the network comprises additional generator, storage, and link capacities with p_nom_extendable=True. The non-solved network is saved in ``results/run_name/networks/prenetworks-brownfield``.
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The base year is the first element in planning_horizons. Step 1 is implemented with the rule add_baseyear for the base year and with the rule add_brownfield for the remaining planning_horizons.
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2.The 2020 network is optimized. The solved network is saved in ‘results/run_name/networks/postnetworks’
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3.For the next planning horizon, e.g. 2030, the capacities from a previous time step are added if they are still in operation (i.e., if they fulfil planning horizon <= commissioned year + lifetime). In addition, the network comprises additional generator, storage, and link capacities with p_nom_extendable=True. The non-solved network is saved in ‘results/run_name/networks/prenetworks_bronwfield’.
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3.For the next planning horizon, e.g. 2030, the capacities from a previous time step are added if they are still in operation (i.e., if they fulfil planning horizon <= commissioned year + lifetime). In addition, the network comprises additional generator, storage, and link capacities with p_nom_extendable=True. The non-solved network is saved in ``results/run_name/networks/prenetworks-brownfield``.
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Steps 2 and 3 are solved recursively for all the planning_horizons included in the configuration file.
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rule add_existing baseyear
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=======================
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==========================
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The rule add_existing_baseyear loads the network in ‘results/run_name/networks/prenetworks’ and performs the following operations:
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@ -105,14 +103,13 @@ Existing heating capacities are retrieved from the report `Mapping and analyses
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The heating capacities are assumed to have a lifetime indicated by the parameter lifetime in the configuration file, e.g 25 years. They are assumed to be decommissioned linearly starting on the base year, e.g., from 2020 to 2045.
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Then, the resulting network is saved in ‘results/run_name/networks/prenetworks_brownfield’
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Then, the resulting network is saved in ``results/run_name/networks/prenetworks-brownfield``.
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rule add_brownfield
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================
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===================
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The rule add_brownfield loads the network in ‘results/run_name/networks/prenetworks’ and performs the following operation:
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1.Read the capacities optimized in the previous time step and add them to the network if they are still in operation (i.e., if they fulfil planning horizon < commissioned year + lifetime)
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Then, the resulting network is saved in ‘results/run_name/networks/prenetworks_brownfield.’
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Then, the resulting network is saved in ``results/run_name/networks/prenetworks_brownfield``.
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9
doc/overnight.rst
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9
doc/overnight.rst
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.. _overnight:
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##########################################
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Overnight (greenfield) scenarios
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##########################################
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The default is to calculate a rebuilding of the energy system to meet demand, a so-called overnight or greenfield approach.
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For this, use ``foresight : 'overnight'`` in ``config.yaml``, like the example in ``config.default.yaml``.
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