pypsa-eur/doc/configtables/electricity.csv

1		Unit	Values	Description
2	voltages	kV	Any subset of {220., 300., 380.}	Voltage levels to consider when
3	co2limit	:math:`t_{CO_2-eq}/a`	float	Cap on total annual system carbon dioxide emissions
4	co2base	:math:`t_{CO_2-eq}/a`	float	Reference value of total annual system carbon dioxide emissions if relative emission reduction target is specified in ``{opts}`` wildcard.
5	agg_p_nom_limits	file	path	Reference to ``.csv`` file specifying per carrier generator nominal capacity constraints for individual countries if ``'CCL'`` is in ``{opts}`` wildcard. Defaults to ``data/agg_p_nom_minmax.csv``.
6	extendable_carriers
7	-- StorageUnit	--	Any subset of {'battery','H2'}	Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.
8	-- Store	--	Any subset of {'battery','H2'}	Adds extendable storage units (battery and/or hydrogen) at every node/bus after clustering without capacity limits and with zero initial capacity.
9	-- Link	--	Any subset of {'H2 pipeline'}	Adds extendable links (H2 pipelines only) at every connection where there are lines or HVDC links without capacity limits and with zero initial capacity. Hydrogen pipelines require hydrogen storage to be modelled as ``Store``.
10	max_hours
11	-- battery	h	float	Maximum state of charge capacity of the battery in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
12	-- H2	h	float	Maximum state of charge capacity of the hydrogen storage in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_.
13	powerplants_filter	--	use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. Country not in ['Germany']	Filter query for the default powerplant database.
14	custom_powerplants	--	use `pandas.query <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.query.html>`_ strings here, e.g. Country in ['Germany']	Filter query for the custom powerplant database.
15	renewable_carriers	--	Any subset of {solar, onwind, offwind-ac, offwind-dc, hydro}	List of renewable generators to include in the model.
16	estimate_renewable_capacities
17	-- Fueltype [ppm], e.g. Wind		list of fueltypes strings in PyPSA-Eur, e.g. [onwind, offwind-ac, offwind-dc]	converts ppm Fueltype to PyPSA-EUR Fueltype