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"""Create a basic scenario from the internal data structure. |
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SPDX-FileCopyrightText: 2016-2021 Uwe Krien <[email protected]> |
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SPDX-License-Identifier: MIT |
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""" |
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import pandas as pd |
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from reegis import storages |
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PARAMETER_RENAME = { |
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"energy": "energy content", |
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"energy_inflow": "energy inflow", |
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"pump": "charge capacity", |
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"turbine": "discharge capacity", |
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"pump_eff": "charge efficiency", |
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"turbine_eff": "discharge efficiency", |
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} |
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def scenario_storages(regions, year, name): |
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""" |
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Fetch storage, pump and turbine capacity and their efficiency of |
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hydroelectric storages for each deflex region. |
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Parameters |
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---------- |
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regions |
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year |
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name |
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Returns |
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------- |
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Examples |
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-------- |
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>>> from reegis import geometries |
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>>> fs=geometries.get_federal_states_polygon() |
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>>> deflex_storages=scenario_storages(fs, 2012, "de17") |
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>>> list(deflex_storages.index.get_level_values(0)) |
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['BW', 'BY', 'HE', 'NI', 'NW', 'SH', 'SN', 'ST', 'TH'] |
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>>> int(deflex_storages.loc[("TH", "phes"), "turbine"]) |
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1522 |
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>>> int(deflex_storages.loc[("TH", "phes"), "energy"]) |
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12115 |
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""" |
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stor = storages.pumped_hydroelectric_storage_by_region(regions, year, name) |
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stor = pd.concat([stor], keys=["phes"]).swaplevel(0, 1) |
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stor["loss rate"] = 0 |
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return stor.rename(columns=PARAMETER_RENAME) |
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