pypsa-eur/doc/overnight.rst

..
  SPDX-FileCopyrightText: 2021-2023 The PyPSA-Eur Authors

  SPDX-License-Identifier: CC-BY-4.0

.. _overnight:

##########################################
Overnight (greenfield) scenarios
##########################################

The default is to calculate a rebuilding of the energy system to meet demand, a so-called overnight or greenfield approach.

For this, use ``foresight : 'overnight'`` in ``config.yaml``, like the example in ``config.default.yaml``.

In this case, the ``planning_horizons : [2030]`` scenario parameter can be set to use the year from which cost and other technology assumptions are set (forecasts for 2030 in this case).
reuse compatibility for pypsa-eur-sec code 2023-03-06 18:35:33 +00:00			`..`
			`SPDX-FileCopyrightText: 2021-2023 The PyPSA-Eur Authors`

			`SPDX-License-Identifier: CC-BY-4.0`

Replace _ with - in technology_data and prenetworks_brownfield Preferred by kubernetes. Also updated the documentation accordingly. 2020-08-20 16:00:27 +00:00			`.. _overnight:`

			`##########################################`
			`Overnight (greenfield) scenarios`
			`##########################################`

			`The default is to calculate a rebuilding of the energy system to meet demand, a so-called overnight or greenfield approach.`

			For this, use ``foresight : 'overnight'`` in ``config.yaml``, like the example in ``config.default.yaml``.
Remove config.myopic.yaml to avoid many duplicated parameters It is identical to config.default.yaml except for two parameters (foresight and planning_horizons) so I decided to consolidate the example configs. Instructions for how to use the myopic foresight can be found in the documentation (now updated). 2020-11-30 15:10:11 +00:00
			In this case, the ``planning_horizons : [2030]`` scenario parameter can be set to use the year from which cost and other technology assumptions are set (forecasts for 2030 in this case).