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	-- Generator	--	Any subset of {'OCGT','CCGT'}	Places extendable conventional power plants (OCGT and/or CCGT) where gas power plants are located today without capacity limits.
8	-- StorageUnit	--	Any subset of {'battery','H2'}	Places extendable storage units (battery and/or hydrogen) at every node/bus without capacity limits.
9	max_hours
10	-- 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>`_.
11	-- 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>`_.
12	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.
13	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.
14	conventional_carriers	--	Any subset of {nuclear, oil, OCGT, CCGT, coal, lignite, geothermal, biomass}	List of conventional power plants to include in the model from ``resources/powerplants.csv``.