pypsa-eur/doc/configtables/hydro.csv
Fabian Neumann 2fc1ea0255
some refactoring and code cleaning (#190)
* some refactoring and code cleaning

* execute pre-commit

* pre-commit: limit large files

* add license to .pre-commit

* add pre-commit to env

* solve: tidy memory logger

* travis: add conda list for easier debugging

* undo config test/tutorial without plotting, rm matplotlibrc, .licenses

* remove {networks} wildcard

* unadd pre-commit config

* add release notes

* restore REUSE compliance

* fix docs environment python version

* env: remove gurobi from dependencies

* fix unclean merge block

* fix elif to if

* lighter rtd style

* lighter rtd style II
2020-12-03 19:50:53 +01:00

7 lines
1.1 KiB
Plaintext

,Unit,Values,Description
cutout,--,"Must be 'europe-2013-era5'","Specifies the directory where the relevant weather data ist stored."
carriers,--,"Any subset of {'ror', 'PHS', 'hydro'}","Specifies the types of hydro power plants to build per-unit availability time series for. 'ror' stands for run-of-river plants, 'PHS' represents pumped-hydro storage, and 'hydro' stands for hydroelectric dams."
PHS_max_hours,h,float,"Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom``. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_."
hydro_max_hours,h,"Any of {float, 'energy_capacity_totals_by_country', 'estimate_by_large_installations'}","Maximum state of charge capacity of the pumped-hydro storage (PHS) in terms of hours at full output capacity ``p_nom`` or heuristically determined. Cf. `PyPSA documentation <https://pypsa.readthedocs.io/en/latest/components.html#storage-unit>`_."
clip_min_inflow,MW,float,"To avoid too small values in the inflow time series, values below this threshold are set to zero."