fill in relevant settings sections
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@ -5,6 +5,37 @@ Adds electrical generators and storage units to base network
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Relevant Settings
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-----------------
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.. code:: yaml
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costs:
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year:
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USD2013_to_EUR2013:
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dicountrate:
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emission_prices:
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electricity:
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max_hours:
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marginal_cost:
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capital_cost:
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conventional_carriers:
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co2limit:
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extendable_carriers:
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Generator:
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StorageUnit:
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estimate_renewable_capacities_from_capacity_stats:
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load:
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scaling_factor:
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renewable: (keys)
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hydro:
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carriers:
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hydro_max_hours:
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hydro_capital_cost:
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lines:
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length_factor:
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Inputs
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------
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@ -5,6 +5,30 @@ Creates the network topology from ENTSO-E map extracts as a PyPSA network
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Relevant Settings
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-----------------
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.. code:: yaml
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snapshots:
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countries:
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electricity:
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voltages:
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lines:
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types:
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s_max_pu:
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under_construction:
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links:
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p_max_pu:
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under_construction:
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include_tyndp:
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transformers:
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x:
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s_nom:
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type:
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Inputs
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------
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@ -4,6 +4,11 @@ Creates onshore and offshore Voronoi shapes for each bus
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Relevant Settings
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-----------------
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.. code:: yaml
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countries:
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Inputs
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------
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@ -5,6 +5,16 @@ Create csv files and plots for comparing per country full load hours of renewabl
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Relevant Settings
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-----------------
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.. code:: yaml
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snapshots:
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renewable:
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{technology}:
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cutout:
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resource:
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correction_factor:
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Inputs
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------
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@ -4,6 +4,13 @@ Create cutouts configured in `atlite` config section
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Relevant Settings
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-----------------
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.. code:: yaml
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atlite:
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nprocesses:
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cutouts:
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{cutout}:
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Inputs
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------
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@ -5,6 +5,15 @@ Build hydroelectric inflow time-series for each country
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Relevant Settings
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-----------------
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.. code:: yaml
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countries:
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renewable:
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hydro:
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cutout:
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clip_min_inflow:
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Inputs
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------
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@ -4,6 +4,12 @@ Rasters the vector data of the NATURA2000 data onto all cutout regions
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Relevant Settings
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-----------------
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.. code:: yaml
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renewable:
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{technology}:
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cutout:
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Inputs
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------
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@ -5,6 +5,8 @@ Get conventional powerplants from `powerplantmatching`, assign to buses and crea
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Relevant Settings
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-----------------
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*None*
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Inputs
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------
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@ -12,6 +12,31 @@ The script ``build_renewable_profiles.py`` calculates for each node several geog
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Relevant settings
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-----------------
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.. code:: yaml
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snapshots:
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atlite:
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nprocesses:
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renewable:
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{technology}:
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cutout:
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corine:
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grid_codes:
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distance:
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natura:
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max_depth:
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max_shore_distance:
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min_shore_distance:
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capacity_per_sqkm:
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correction_factor:
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potential:
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min_p_max_pu:
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clip_p_max_pu:
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resource:
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config.renewable (describes the parameters for onwind, offwind-ac, offwind-dc
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and solar)
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config.snapshots (describes the time dimensions of the selection of snapshots)
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@ -4,6 +4,10 @@ Create GIS shape files for countries on-shore and off-shore, europe and nuts3 re
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Relevant Settings
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-----------------
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.. code:: yaml
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countries:
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Inputs
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------
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@ -5,6 +5,19 @@ Create networks clustered to `cluster` number of zones with aggregated buses, ge
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Relevant Settings
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-----------------
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.. code:: yaml
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renewable: (keys)
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{technology}:
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potential:
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solving:
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solver:
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name:
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lines:
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length_factor:
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Inputs
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------
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@ -103,7 +116,7 @@ def plot_weighting(n, country, country_shape=None):
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def distribute_clusters(n, n_clusters, solver_name=None):
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if solver_name is None:
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solver_name = snakemake.config['solver']['solver']['name']
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solver_name = snakemake.config['solving']['solver']['name']
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L = (n.loads_t.p_set.mean()
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.groupby(n.loads.bus).sum()
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@ -4,6 +4,17 @@ Create summaries of aggregated energy and costs as csv files
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Relevant Settings
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-----------------
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.. code:: yaml
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costs:
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USD2013_to_EUR2013:
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discountrate:
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marginal_cost:
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capital_cost:
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electricity:
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max_hours:
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Inputs
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------
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@ -5,6 +5,8 @@ Extract capacities for HVDC links from wikipedia
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Relevant Settings
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-----------------
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*None*
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Inputs
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------
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@ -5,6 +5,19 @@ Prepare PyPSA network for solving according to `opts`-wildcard
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Relevant Settings
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-----------------
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.. code:: yaml
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costs:
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emission_prices:
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USD2013_to_EUR2013:
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discountrate:
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marginal_cost:
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capital_cost:
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electricity:
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co2limit:
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max_hours:
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Inputs
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------
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@ -6,6 +6,31 @@ single link
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Relevant Settings
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-----------------
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.. code:: yaml
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costs:
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USD2013_to_EUR2013:
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discountrate:
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marginal_cost:
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capital_cost:
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electricity:
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max_hours:
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renewables: (keys)
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{technology}:
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potential:
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lines:
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length_factor:
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links:
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p_max_pu:
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solving:
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solver:
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name:
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Inputs
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------
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@ -4,6 +4,29 @@ Solve networks iteratively linear optimal power flow, while updating reactances
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Relevant Settings
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-----------------
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.. code:: yaml
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(electricity:)
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(BAU_mincapacities:)
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(SAFE_reservemargin:)
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solving:
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tmpdir:
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options:
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formulation:
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clip_p_max_pu:
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load_shedding:
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noisy_costs:
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nhours:
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min_iterations:
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max_iterations:
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solver:
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name:
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{solveroptions}:
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(plotting:)
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(conv_techs:)
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Inputs
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------
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@ -5,6 +5,22 @@ capacity expansion
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Relevant Settings
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-----------------
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.. code:: yaml
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solving:
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tmpdir:
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options:
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formulation:
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clip_p_max_pu:
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load_shedding:
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noisy_costs:
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nhours:
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min_iterations:
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max_iterations:
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solver:
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name:
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{solveroptions}:
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Inputs
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------
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@ -5,6 +5,22 @@ records intermediate branch capacity steps and values of the objective
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Relevant Settings
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-----------------
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.. code:: yaml
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solving:
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tmpdir:
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options:
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formulation:
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clip_p_max_pu:
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load_shedding:
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noisy_costs:
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nhours:
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min_iterations:
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max_iterations:
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solver:
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name:
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{solveroptions}:
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Inputs
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------
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