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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 logging |
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from warnings import warn |
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import pandas as pd |
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from reegis import commodity_sources |
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from reegis import config as cfg |
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from scenario_builder import data |
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def scenario_commodity_sources(year): |
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""" |
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Parameters |
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---------- |
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year |
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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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>>> from scenario_builder import powerplants |
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>>> fs=geometries.get_federal_states_polygon() # doctest: +SKIP |
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>>> pp=powerplants.scenario_powerplants(dict(), fs, 2014, "federal_states" |
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... ) # doctest: +SKIP |
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>>> src=scenario_commodity_sources(pp) # doctest: +SKIP |
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>>> round(src.loc[("DE", "hard coal"), "costs"], 2) # doctest: +SKIP |
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12.53 |
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>>> round(src.loc[("DE", "natural gas"), "emission"], 2) # doctest: +SKIP |
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201.0 |
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""" |
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if cfg.get("creator", "costs_source") == "reegis": |
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commodity_src = create_commodity_sources_reegis(year) |
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elif cfg.get("creator", "costs_source") == "ewi": |
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commodity_src = create_commodity_sources_ewi() |
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else: |
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commodity_src = None |
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# Add region level to be consistent to other tables |
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commodity_src.index = pd.MultiIndex.from_product( |
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[["DE"], commodity_src.index] |
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) |
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if cfg.get("creator", "use_CO2_costs") is False: |
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commodity_src["co2_price"] = 0 |
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commodity_src["annual limit"] = "inf" |
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return commodity_src |
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def create_commodity_sources_ewi(): |
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""" |
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Returns |
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------- |
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""" |
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ewi = data.get_ewi_data() |
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df = pd.DataFrame() |
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df["costs"] = ewi.fuel_costs["value"] + ewi.transport_costs["value"] |
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df["emission"] = ewi.emission["value"].multiply(1000) |
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df["co2_price"] = float(ewi.co2_price["value"]) |
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missing = "bioenergy" |
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msg = ( |
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"Costs/Emission for {0} in ewi is missing.\n" |
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"Values for {0} are hard coded! Use with care." |
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) |
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warn(msg.format(missing), UserWarning) |
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df.loc[missing, "emission"] = 7.2 |
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df.loc[missing, "costs"] = 20 |
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df.loc[missing, "co2_price"] = df.loc["natural gas", "co2_price"] |
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return df |
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def create_commodity_sources_reegis(year, use_znes_2014=True): |
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""" |
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Parameters |
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---------- |
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year |
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use_znes_2014 |
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Returns |
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------- |
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""" |
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msg = ( |
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"The unit for {0} of the source is '{1}'. " |
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"Will multiply it with {2} to get '{3}'." |
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) |
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converter = { |
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"costs": ["costs", "EUR/J", 1e9 * 3.6, "EUR/MWh"], |
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"emission": ["emission", "g/J", 1e6 * 3.6, "kg/MWh"], |
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} |
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cs = commodity_sources.get_commodity_sources() |
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rename_cols = { |
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key.lower(): value |
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for key, value in cfg.get_dict("source_names").items() |
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} |
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cs = cs.rename(columns=rename_cols) |
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cs_year = cs.loc[year] |
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if use_znes_2014: |
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before = len(cs_year[cs_year.isnull()]) |
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cs_year = cs_year.fillna(cs.loc[2014]) |
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after = len(cs_year[cs_year.isnull()]) |
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if before - after > 0: |
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logging.warning("Values were replaced with znes2014 data.") |
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cs_year = cs_year.sort_index().unstack() |
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# convert units |
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for key in converter.keys(): |
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cs_year[key] = cs_year[key].multiply(converter[key][2]) |
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logging.warning(msg.format(*converter[key])) |
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return cs_year |
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reegis /
scenario_builder
