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"""The module containing all parameters for the scenario table |
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""" |
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import pandas as pd |
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import egon.data.config |
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def read_csv(year): |
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source = egon.data.config.datasets()["pypsa-technology-data"]["targets"][ |
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"data_dir" |
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] |
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return pd.read_csv(f"{source}costs_{year}.csv") |
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def read_costs(df, technology, parameter, value_only=True): |
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result = df.loc[ |
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(df.technology == technology) & (df.parameter == parameter) |
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].squeeze() |
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# Rescale costs to EUR/MW |
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if "EUR/kW" in result.unit: |
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result.value *= 1e3 |
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result.unit = result.unit.replace("kW", "MW") |
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if value_only: |
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return result.value |
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else: |
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return result |
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def annualize_capital_costs(overnight_costs, lifetime, p): |
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""" |
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Parameters |
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---------- |
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overnight_costs : float |
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Overnight investment costs in EUR/MW or EUR/MW/km |
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lifetime : int |
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Number of years in which payments will be made |
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p : float |
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Interest rate in p.u. |
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Returns |
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------- |
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float |
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Annualized capital costs in EUR/MW/a or EUR/MW/km/a |
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""" |
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# Calculate present value of an annuity (PVA) |
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PVA = (1 / p) - (1 / (p * (1 + p) ** lifetime)) |
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return overnight_costs / PVA |
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def global_settings(scenario): |
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"""Returns global paramaters for the selected scenario. |
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Parameters |
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---------- |
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scenario : str |
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Name of the scenario. |
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Returns |
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------- |
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parameters : dict |
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List of global parameters |
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""" |
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if scenario == "eGon2035": |
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parameters = { |
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"weather_year": 2011, |
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"population_year": 2035, |
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"fuel_costs": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 39, table 6 |
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"oil": 73.8, # [EUR/MWh] |
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"gas": 25.6, # [EUR/MWh] |
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"coal": 20.2, # [EUR/MWh] |
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"lignite": 4.0, # [EUR/MWh] |
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"nuclear": 1.7, # [EUR/MWh] |
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"biomass": 40, # Dummyvalue, ToDo: Find a suitable source |
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}, |
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"co2_costs": 76.5, # [EUR/t_CO2] |
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"co2_emissions": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 40, table 8 |
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"waste": 0.165, # [t_CO2/MW_th] |
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"lignite": 0.393, # [t_CO2/MW_th] |
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"gas": 0.201, # [t_CO2/MW_th] |
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"nuclear": 0.0, # [t_CO2/MW_th] |
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"oil": 0.288, # [t_CO2/MW_th] |
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"coal": 0.335, # [t_CO2/MW_th] |
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"other_non_renewable": 0.268, # [t_CO2/MW_th] |
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}, |
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"interest_rate": 0.05, # [p.u.] |
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} |
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elif scenario == "eGon100RE": |
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parameters = { |
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"weather_year": 2011, |
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"population_year": 2050, |
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"fuel_costs": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 39, table 6 |
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"oil": 73.8, # [EUR/MWh] |
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"gas": 25.6, # [EUR/MWh] |
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"coal": 20.2, # [EUR/MWh] |
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"lignite": 4.0, # [EUR/MWh] |
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"nuclear": 1.7, # [EUR/MWh] |
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}, |
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"co2_costs": 76.5, # [EUR/t_CO2] |
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"co2_emissions": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 40, table 8 |
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"waste": 0.165, # [t_CO2/MW_th] |
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"lignite": 0.393, # [t_CO2/MW_th] |
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"gas": 0.201, # [t_CO2/MW_th] |
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"nuclear": 0.0, # [t_CO2/MW_th] |
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"oil": 0.288, # [t_CO2/MW_th] |
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"coal": 0.335, # [t_CO2/MW_th] |
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"other_non_renewable": 0.268, # [t_CO2/MW_th] |
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}, |
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} |
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else: |
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print(f"Scenario name {scenario} is not valid.") |
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return parameters |
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def electricity(scenario): |
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"""Returns paramaters of the electricity sector for the selected scenario. |
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Parameters |
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---------- |
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scenario : str |
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Name of the scenario. |
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Returns |
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------- |
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parameters : dict |
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List of parameters of electricity sector |
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""" |
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if scenario == "eGon2035": |
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costs = read_csv(2035) |
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parameters = {"grid_topology": "Status Quo"} |
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# Insert effciencies in p.u. |
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parameters["efficiency"] = { |
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"oil": read_costs(costs, "oil", "efficiency"), |
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"battery": { |
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"store": read_costs(costs, "battery inverter", "efficiency") |
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** 0.5, |
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"dispatch": read_costs(costs, "battery inverter", "efficiency") |
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** 0.5, |
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"standing_loss": 0, |
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"max_hours": 6, |
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}, |
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"pumped_hydro": { |
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"store": read_costs(costs, "PHS", "efficiency") ** 0.5, |
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"dispatch": read_costs(costs, "PHS", "efficiency") ** 0.5, |
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"standing_loss": 0, |
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"max_hours": 6, |
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}, |
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} |
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# Warning: Electrical parameters are set in osmTGmod, editing these values will not change the data! |
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parameters["electrical_parameters"] = { |
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"ac_line_110kV": { |
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"s_nom": 260, # [MVA] |
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"R": 0.109, # [Ohm/km] |
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"L": 1.2, # [mH/km] |
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}, |
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"ac_cable_110kV": { |
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"s_nom": 280, # [MVA] |
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"R": 0.0177, # [Ohm/km] |
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"L": 0.3, # [mH/km] |
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}, |
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"ac_line_220kV": { |
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"s_nom": 520, # [MVA] |
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"R": 0.109, # [Ohm/km] |
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"L": 1.0, # [mH/km] |
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}, |
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"ac_cable_220kV": { |
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"s_nom": 550, # [MVA] |
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"R": 0.0176, # [Ohm/km] |
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"L": 0.3, # [mH/km] |
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}, |
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"ac_line_380kV": { |
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"s_nom": 1790, # [MVA] |
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"R": 0.028, # [Ohm/km] |
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"L": 0.8, # [mH/km] |
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}, |
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"ac_cable_380kV": { |
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"s_nom": 925, # [MVA] |
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"R": 0.0175, # [Ohm/km] |
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"L": 0.3, # [mH/km] |
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}, |
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} |
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# Insert overnight investment costs |
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# Source for eHV grid costs: Netzentwicklungsplan Strom 2035, Version 2021, 2. Entwurf |
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# Source for HV lines and cables: Dena Verteilnetzstudie 2021, p. 146 |
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parameters["overnight_cost"] = { |
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"ac_ehv_overhead_line": 2.5e6 |
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/ ( |
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2 |
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* parameters["electrical_parameters"]["ac_line_380kV"]["s_nom"] |
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), # [EUR/km/MW] |
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"ac_ehv_cable": 11.5e6 |
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/ ( |
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2 |
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* parameters["electrical_parameters"]["ac_cable_380kV"][ |
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"s_nom" |
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] |
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), # [EUR/km/MW] |
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"ac_hv_overhead_line": 0.06e6 |
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/ parameters["electrical_parameters"]["ac_line_110kV"][ |
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"s_nom" |
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], # [EUR/km/MW] |
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"ac_hv_cable": 0.8e6 |
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/ parameters["electrical_parameters"]["ac_cable_110kV"][ |
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"s_nom" |
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], # [EUR/km/MW] |
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"dc_overhead_line": 0.5e3, # [EUR/km/MW] |
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"dc_cable": 3.25e3, # [EUR/km/MW] |
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"dc_inverter": 0.3e6, # [EUR/MW] |
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"transformer_380_110": 17.33e3, # [EUR/MVA] |
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"transformer_380_220": 13.33e3, # [EUR/MVA] |
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"transformer_220_110": 17.5e3, # [EUR/MVA] |
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"battery inverter": read_costs( |
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costs, "battery inverter", "investment" |
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), |
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"battery storage": read_costs( |
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costs, "battery storage", "investment" |
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), |
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} |
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parameters["lifetime"] = { |
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"ac_ehv_overhead_line": read_costs( |
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costs, "HVAC overhead", "lifetime" |
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), |
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"ac_ehv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
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"ac_hv_overhead_line": read_costs( |
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costs, "HVAC overhead", "lifetime" |
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), |
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"ac_hv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
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"dc_overhead_line": read_costs(costs, "HVDC overhead", "lifetime"), |
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"dc_cable": read_costs(costs, "HVDC overhead", "lifetime"), |
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"dc_inverter": read_costs(costs, "HVDC inverter pair", "lifetime"), |
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"transformer_380_110": read_costs( |
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costs, "HVAC overhead", "lifetime" |
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), |
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"transformer_380_220": read_costs( |
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costs, "HVAC overhead", "lifetime" |
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256
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), |
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"transformer_220_110": read_costs( |
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costs, "HVAC overhead", "lifetime" |
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), |
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"battery inverter": read_costs( |
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costs, "battery inverter", "lifetime" |
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262
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), |
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"battery storage": read_costs( |
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costs, "battery storage", "lifetime" |
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265
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), |
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} |
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267
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# Insert annualized capital costs |
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268
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# lines in EUR/km/MW/a |
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269
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# transfermer, inverter, battery in EUR/MW/a |
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270
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parameters["capital_cost"] = {} |
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271
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272
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for comp in parameters["overnight_cost"].keys(): |
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parameters["capital_cost"][comp] = annualize_capital_costs( |
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parameters["overnight_cost"][comp], |
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parameters["lifetime"][comp], |
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global_settings("eGon2035")["interest_rate"], |
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277
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) |
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278
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279
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parameters["capital_cost"]["battery"] = ( |
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280
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parameters["capital_cost"]["battery inverter"] |
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+ parameters["efficiency"]["battery"]["max_hours"] |
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* parameters["capital_cost"]["battery storage"] |
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283
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) |
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285
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# Insert marginal_costs in EUR/MWh |
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286
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# marginal cost can include fuel, C02 and operation and maintenance costs |
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287
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parameters["marginal_cost"] = { |
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288
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"oil": global_settings(scenario)["fuel_costs"]["oil"] |
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289
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+ read_costs(costs, "oil", "VOM") |
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290
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+ global_settings(scenario)["co2_costs"] |
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* global_settings(scenario)["co2_emissions"]["oil"], |
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"other_non_renewable": global_settings(scenario)["fuel_costs"][ |
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293
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"gas" |
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294
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] |
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295
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+ global_settings(scenario)["co2_costs"] |
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296
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* global_settings(scenario)["co2_emissions"][ |
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297
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"other_non_renewable" |
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298
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], |
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299
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"lignite": global_settings(scenario)["fuel_costs"]["lignite"] |
|
300
|
|
|
+ read_costs(costs, "lignite", "VOM") |
|
301
|
|
|
+ global_settings(scenario)["co2_costs"] |
|
302
|
|
|
* global_settings(scenario)["co2_emissions"]["lignite"], |
|
303
|
|
|
"biomass": global_settings(scenario)["fuel_costs"]["biomass"] |
|
304
|
|
|
+ read_costs(costs, "biomass CHP", "VOM"), |
|
305
|
|
|
"wind_offshore": read_costs(costs, "offwind", "VOM"), |
|
306
|
|
|
"wind_onshore": read_costs(costs, "onwind", "VOM"), |
|
307
|
|
|
"solar": read_costs(costs, "solar", "VOM"), |
|
308
|
|
|
} |
|
309
|
|
|
|
|
310
|
|
|
elif scenario == "eGon100RE": |
|
311
|
|
|
|
|
312
|
|
|
costs = read_csv(2050) |
|
313
|
|
|
|
|
314
|
|
|
parameters = {"grid_topology": "Status Quo"} |
|
315
|
|
|
|
|
316
|
|
|
# Insert effciencies in p.u. |
|
317
|
|
|
parameters["efficiency"] = { |
|
318
|
|
|
"battery": { |
|
319
|
|
|
"store": read_costs(costs, "battery inverter", "efficiency") |
|
320
|
|
|
** 0.5, |
|
321
|
|
|
"dispatch": read_costs(costs, "battery inverter", "efficiency") |
|
322
|
|
|
** 0.5, |
|
323
|
|
|
"standing_loss": 0, |
|
324
|
|
|
"max_hours": 6, |
|
325
|
|
|
}, |
|
326
|
|
|
"pumped_hydro": { |
|
327
|
|
|
"store": read_costs(costs, "PHS", "efficiency") ** 0.5, |
|
328
|
|
|
"dispatch": read_costs(costs, "PHS", "efficiency") ** 0.5, |
|
329
|
|
|
"standing_loss": 0, |
|
330
|
|
|
"max_hours": 6, |
|
331
|
|
|
}, |
|
332
|
|
|
} |
|
333
|
|
|
# Warning: Electrical parameters are set in osmTGmod, editing these values will not change the data! |
|
334
|
|
|
parameters["electrical_parameters"] = { |
|
335
|
|
|
"ac_line_110kV": { |
|
336
|
|
|
"s_nom": 260, # [MVA] |
|
337
|
|
|
"R": 0.109, # [Ohm/km] |
|
338
|
|
|
"L": 1.2, # [mH/km] |
|
339
|
|
|
}, |
|
340
|
|
|
"ac_cable_110kV": { |
|
341
|
|
|
"s_nom": 280, # [MVA] |
|
342
|
|
|
"R": 0.0177, # [Ohm/km] |
|
343
|
|
|
"L": 0.3, # [mH/km] |
|
344
|
|
|
}, |
|
345
|
|
|
"ac_line_220kV": { |
|
346
|
|
|
"s_nom": 520, # [MVA] |
|
347
|
|
|
"R": 0.109, # [Ohm/km] |
|
348
|
|
|
"L": 1.0, # [mH/km] |
|
349
|
|
|
}, |
|
350
|
|
|
"ac_cable_220kV": { |
|
351
|
|
|
"s_nom": 550, # [MVA] |
|
352
|
|
|
"R": 0.0176, # [Ohm/km] |
|
353
|
|
|
"L": 0.3, # [mH/km] |
|
354
|
|
|
}, |
|
355
|
|
|
"ac_line_380kV": { |
|
356
|
|
|
"s_nom": 1790, # [MVA] |
|
357
|
|
|
"R": 0.028, # [Ohm/km] |
|
358
|
|
|
"L": 0.8, # [mH/km] |
|
359
|
|
|
}, |
|
360
|
|
|
"ac_cable_380kV": { |
|
361
|
|
|
"s_nom": 925, # [MVA] |
|
362
|
|
|
"R": 0.0175, # [Ohm/km] |
|
363
|
|
|
"L": 0.3, # [mH/km] |
|
364
|
|
|
}, |
|
365
|
|
|
} |
|
366
|
|
|
|
|
367
|
|
|
# Insert overnight investment costs |
|
368
|
|
|
# Source for transformer costs: Netzentwicklungsplan Strom 2035, Version 2021, 2. Entwurf |
|
369
|
|
|
# Source for HV lines and cables: Dena Verteilnetzstudie 2021, p. 146 |
|
370
|
|
|
parameters["overnight_cost"] = { |
|
371
|
|
|
"ac_ehv_overhead_line": read_costs( |
|
372
|
|
|
costs, "HVAC overhead", "investment" |
|
373
|
|
|
), # [EUR/km/MW] |
|
374
|
|
|
"ac_hv_overhead_line": 0.06e6 |
|
375
|
|
|
/ parameters["electrical_parameters"]["ac_line_110kV"][ |
|
376
|
|
|
"s_nom" |
|
377
|
|
|
], # [EUR/km/MW] |
|
378
|
|
|
"ac_hv_cable": 0.8e6 |
|
379
|
|
|
/ parameters["electrical_parameters"]["ac_cable_110kV"][ |
|
380
|
|
|
"s_nom" |
|
381
|
|
|
], # [EUR/km/MW] |
|
382
|
|
|
"dc_overhead_line": read_costs( |
|
383
|
|
|
costs, "HVDC overhead", "investment" |
|
384
|
|
|
), |
|
385
|
|
|
"dc_cable": read_costs(costs, "HVDC overhead", "investment"), |
|
386
|
|
|
"dc_inverter": read_costs( |
|
387
|
|
|
costs, "HVDC inverter pair", "investment" |
|
388
|
|
|
), |
|
389
|
|
|
"transformer_380_110": 17.33e3, # [EUR/MVA] |
|
390
|
|
|
"transformer_380_220": 13.33e3, # [EUR/MVA] |
|
391
|
|
|
"transformer_220_110": 17.5e3, # [EUR/MVA] |
|
392
|
|
|
"battery inverter": read_costs( |
|
393
|
|
|
costs, "battery inverter", "investment" |
|
394
|
|
|
), |
|
395
|
|
|
"battery storage": read_costs( |
|
396
|
|
|
costs, "battery storage", "investment" |
|
397
|
|
|
), |
|
398
|
|
|
} |
|
399
|
|
|
|
|
400
|
|
|
parameters["lifetime"] = { |
|
401
|
|
|
"ac_ehv_overhead_line": read_costs( |
|
402
|
|
|
costs, "HVAC overhead", "lifetime" |
|
403
|
|
|
), |
|
404
|
|
|
"ac_ehv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
|
405
|
|
|
"ac_hv_overhead_line": read_costs( |
|
406
|
|
|
costs, "HVAC overhead", "lifetime" |
|
407
|
|
|
), |
|
408
|
|
|
"ac_hv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
|
409
|
|
|
"dc_overhead_line": read_costs(costs, "HVDC overhead", "lifetime"), |
|
410
|
|
|
"dc_cable": read_costs(costs, "HVDC overhead", "lifetime"), |
|
411
|
|
|
"dc_inverter": read_costs(costs, "HVDC inverter pair", "lifetime"), |
|
412
|
|
|
"transformer_380_110": read_costs( |
|
413
|
|
|
costs, "HVAC overhead", "lifetime" |
|
414
|
|
|
), |
|
415
|
|
|
"transformer_380_220": read_costs( |
|
416
|
|
|
costs, "HVAC overhead", "lifetime" |
|
417
|
|
|
), |
|
418
|
|
|
"transformer_220_110": read_costs( |
|
419
|
|
|
costs, "HVAC overhead", "lifetime" |
|
420
|
|
|
), |
|
421
|
|
|
"battery inverter": read_costs( |
|
422
|
|
|
costs, "battery inverter", "lifetime" |
|
423
|
|
|
), |
|
424
|
|
|
"battery storage": read_costs( |
|
425
|
|
|
costs, "battery storage", "lifetime" |
|
426
|
|
|
), |
|
427
|
|
|
} |
|
428
|
|
|
# Insert annualized capital costs |
|
429
|
|
|
# lines in EUR/km/MW/a |
|
430
|
|
|
# transfermer, inverter, battery in EUR/MW/a |
|
431
|
|
|
parameters["capital_cost"] = {} |
|
432
|
|
|
|
|
433
|
|
|
for comp in parameters["overnight_cost"].keys(): |
|
434
|
|
|
parameters["capital_cost"][comp] = annualize_capital_costs( |
|
435
|
|
|
parameters["overnight_cost"][comp], |
|
436
|
|
|
parameters["lifetime"][comp], |
|
437
|
|
|
global_settings("eGon2035")["interest_rate"], |
|
438
|
|
|
) |
|
439
|
|
|
|
|
440
|
|
|
parameters["capital_cost"]["battery"] = ( |
|
441
|
|
|
parameters["capital_cost"]["battery inverter"] |
|
442
|
|
|
+ parameters["efficiency"]["battery"]["max_hours"] |
|
443
|
|
|
* parameters["capital_cost"]["battery storage"] |
|
444
|
|
|
) |
|
445
|
|
|
|
|
446
|
|
|
# Insert marginal_costs in EUR/MWh |
|
447
|
|
|
# marginal cost can include fuel, C02 and operation and maintenance costs |
|
448
|
|
|
parameters["marginal_cost"] = { |
|
449
|
|
|
"wind_offshore": read_costs(costs, "offwind", "VOM"), |
|
450
|
|
|
"wind_onshore": read_costs(costs, "onwind", "VOM"), |
|
451
|
|
|
"solar": read_costs(costs, "solar", "VOM"), |
|
452
|
|
|
} |
|
453
|
|
|
|
|
454
|
|
|
else: |
|
455
|
|
|
print(f"Scenario name {scenario} is not valid.") |
|
456
|
|
|
|
|
457
|
|
|
return parameters |
|
|
|
|
|
|
458
|
|
|
|
|
459
|
|
|
|
|
460
|
|
|
def gas(scenario): |
|
461
|
|
|
"""Returns paramaters of the gas sector for the selected scenario. |
|
462
|
|
|
|
|
463
|
|
|
Parameters |
|
464
|
|
|
---------- |
|
465
|
|
|
scenario : str |
|
466
|
|
|
Name of the scenario. |
|
467
|
|
|
|
|
468
|
|
|
Returns |
|
469
|
|
|
------- |
|
470
|
|
|
parameters : dict |
|
471
|
|
|
List of parameters of gas sector |
|
472
|
|
|
|
|
473
|
|
|
""" |
|
474
|
|
|
|
|
475
|
|
|
if scenario == "eGon2035": |
|
476
|
|
|
|
|
477
|
|
|
costs = read_csv(2035) |
|
478
|
|
|
|
|
479
|
|
|
parameters = { |
|
480
|
|
|
"main_gas_carrier": "CH4", |
|
481
|
|
|
"H2_feedin_volumetric_fraction": 0.15, |
|
482
|
|
|
} |
|
483
|
|
|
# Insert effciencies in p.u. |
|
484
|
|
|
parameters["efficiency"] = { |
|
485
|
|
|
"power_to_H2": read_costs(costs, "electrolysis", "efficiency"), |
|
486
|
|
|
"H2_to_power": read_costs(costs, "fuel cell", "efficiency"), |
|
487
|
|
|
"CH4_to_H2": read_costs(costs, "SMR", "efficiency"), # CC? |
|
488
|
|
|
"H2_feedin": 1, |
|
489
|
|
|
"H2_to_CH4": read_costs(costs, "methanation", "efficiency"), |
|
490
|
|
|
"OCGT": read_costs(costs, "OCGT", "efficiency"), |
|
491
|
|
|
} |
|
492
|
|
|
# Insert overnight investment costs |
|
493
|
|
|
parameters["overnight_cost"] = { |
|
494
|
|
|
"power_to_H2": read_costs(costs, "electrolysis", "investment"), |
|
495
|
|
|
"H2_to_power": read_costs(costs, "fuel cell", "investment"), |
|
496
|
|
|
"CH4_to_H2": read_costs(costs, "SMR", "investment"), # CC? |
|
497
|
|
|
"H2_to_CH4": read_costs(costs, "methanation", "investment"), |
|
498
|
|
|
# what about H2 compressors? |
|
499
|
|
|
"H2_feedin": 0, |
|
500
|
|
|
"H2_underground": read_costs( |
|
501
|
|
|
costs, "hydrogen storage underground", "investment" |
|
502
|
|
|
), |
|
503
|
|
|
"H2_overground": read_costs( |
|
504
|
|
|
costs, "hydrogen storage tank incl. compressor", "investment" |
|
505
|
|
|
), |
|
506
|
|
|
"H2_pipeline": read_costs( |
|
507
|
|
|
costs, "H2 (g) pipeline", "investment" |
|
508
|
|
|
), # [EUR/MW/km] |
|
509
|
|
|
} |
|
510
|
|
|
|
|
511
|
|
|
# Insert lifetime |
|
512
|
|
|
parameters["lifetime"] = { |
|
513
|
|
|
"power_to_H2": read_costs(costs, "electrolysis", "lifetime"), |
|
514
|
|
|
"H2_to_power": read_costs(costs, "fuel cell", "lifetime"), |
|
515
|
|
|
"CH4_to_H2": read_costs(costs, "SMR", "lifetime"), # CC? |
|
516
|
|
|
"H2_to_CH4": read_costs(costs, "methanation", "lifetime"), |
|
517
|
|
|
# what about H2 compressors? |
|
518
|
|
|
"H2_underground": read_costs( |
|
519
|
|
|
costs, "hydrogen storage underground", "lifetime" |
|
520
|
|
|
), |
|
521
|
|
|
"H2_overground": read_costs( |
|
522
|
|
|
costs, "hydrogen storage tank incl. compressor", "lifetime" |
|
523
|
|
|
), |
|
524
|
|
|
"H2_pipeline": read_costs(costs, "H2 (g) pipeline", "lifetime"), |
|
525
|
|
|
"H2_feedin": read_costs(costs, "CH4 (g) pipeline", "lifetime"), |
|
526
|
|
|
} |
|
527
|
|
|
|
|
528
|
|
|
# Insert annualized capital costs |
|
529
|
|
|
parameters["capital_cost"] = {} |
|
530
|
|
|
|
|
531
|
|
|
for comp in parameters["overnight_cost"].keys(): |
|
532
|
|
|
parameters["capital_cost"][comp] = annualize_capital_costs( |
|
533
|
|
|
parameters["overnight_cost"][comp], |
|
534
|
|
|
parameters["lifetime"][comp], |
|
535
|
|
|
global_settings("eGon2035")["interest_rate"], |
|
536
|
|
|
) |
|
537
|
|
|
|
|
538
|
|
|
parameters["marginal_cost"] = { |
|
539
|
|
|
"CH4": global_settings(scenario)["fuel_costs"]["gas"] |
|
540
|
|
|
+ global_settings(scenario)["co2_costs"] |
|
541
|
|
|
* global_settings(scenario)["co2_emissions"]["gas"], |
|
542
|
|
|
"OCGT": read_costs(costs, "OCGT", "VOM"), |
|
543
|
|
|
"biogas": global_settings(scenario)["fuel_costs"]["gas"], |
|
544
|
|
|
"chp_gas": read_costs(costs, "central gas CHP", "VOM"), |
|
545
|
|
|
} |
|
546
|
|
|
|
|
547
|
|
|
# Insert max gas production (generator) over the year |
|
548
|
|
|
parameters["max_gas_generation_overtheyear"] = { |
|
549
|
|
|
"CH4": 36000000, # [MWh] Netzentwicklungsplan Gas 2020–2030 |
|
550
|
|
|
"biogas": 10000000, # [MWh] Netzentwicklungsplan Gas 2020–2030 |
|
551
|
|
|
} |
|
552
|
|
|
|
|
553
|
|
|
elif scenario == "eGon100RE": |
|
554
|
|
|
|
|
555
|
|
|
costs = read_csv(2050) |
|
556
|
|
|
|
|
557
|
|
|
parameters = { |
|
558
|
|
|
"main_gas_carrier": "H2", |
|
559
|
|
|
"retrofitted_CH4pipeline-to-H2pipeline_share": 0.75, |
|
560
|
|
|
# The H2 network will be based on 75% of converted natural gas pipelines. |
|
561
|
|
|
# https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf |
|
562
|
|
|
# This value is used temporary, later on we will use the result of p-e-s |
|
563
|
|
|
"retrofitted_capacity_share": 0.8, |
|
564
|
|
|
# The volumetric energy density of pure H2 at 50 bar vs. pure CH4 at |
|
565
|
|
|
# 50 bar is at about 30 %, however due to less friction volumetric flow can |
|
566
|
|
|
# be increased for pure H2 leading to higher capacities |
|
567
|
|
|
# https://gasforclimate2050.eu/wp-content/uploads/2020/07/2020_European-Hydrogen-Backbone_Report.pdf p.10 |
|
568
|
|
|
} |
|
569
|
|
|
# Insert effciencies in p.u. |
|
570
|
|
|
parameters["efficiency"] = { |
|
571
|
|
|
"power_to_H2": read_costs(costs, "electrolysis", "efficiency"), |
|
572
|
|
|
"H2_to_power": read_costs(costs, "fuel cell", "efficiency"), |
|
573
|
|
|
"CH4_to_H2": read_costs(costs, "SMR", "efficiency"), # CC? |
|
574
|
|
|
"H2_to_CH4": read_costs(costs, "methanation", "efficiency"), |
|
575
|
|
|
"OCGT": read_costs(costs, "OCGT", "efficiency"), |
|
576
|
|
|
} |
|
577
|
|
|
# Insert overnight investment costs |
|
578
|
|
|
parameters["overnight_cost"] = { |
|
579
|
|
|
"power_to_H2": read_costs(costs, "electrolysis", "investment"), |
|
580
|
|
|
"H2_to_power": read_costs(costs, "fuel cell", "investment"), |
|
581
|
|
|
"CH4_to_H2": read_costs(costs, "SMR", "investment"), # CC? |
|
582
|
|
|
"H2_to_CH4": read_costs(costs, "methanation", "investment"), |
|
583
|
|
|
# what about H2 compressors? |
|
584
|
|
|
"H2_underground": read_costs( |
|
585
|
|
|
costs, "hydrogen storage underground", "investment" |
|
586
|
|
|
), |
|
587
|
|
|
"H2_overground": read_costs( |
|
588
|
|
|
costs, "hydrogen storage tank incl. compressor", "investment" |
|
589
|
|
|
), |
|
590
|
|
|
"H2_pipeline": read_costs( |
|
591
|
|
|
costs, "H2 (g) pipeline", "investment" |
|
592
|
|
|
), # [EUR/MW/km] |
|
593
|
|
|
"H2_pipeline_retrofit": read_costs( |
|
594
|
|
|
costs, "H2 (g) pipeline repurposed", "investment" |
|
595
|
|
|
), # [EUR/MW/km] |
|
596
|
|
|
} |
|
597
|
|
|
|
|
598
|
|
|
# Insert lifetime |
|
599
|
|
|
parameters["lifetime"] = { |
|
600
|
|
|
"power_to_H2": read_costs(costs, "electrolysis", "lifetime"), |
|
601
|
|
|
"H2_to_power": read_costs(costs, "fuel cell", "lifetime"), |
|
602
|
|
|
"CH4_to_H2": read_costs(costs, "SMR", "lifetime"), # CC? |
|
603
|
|
|
"H2_to_CH4": read_costs(costs, "methanation", "lifetime"), |
|
604
|
|
|
# what about H2 compressors? |
|
605
|
|
|
"H2_underground": read_costs( |
|
606
|
|
|
costs, "hydrogen storage underground", "lifetime" |
|
607
|
|
|
), |
|
608
|
|
|
"H2_overground": read_costs( |
|
609
|
|
|
costs, "hydrogen storage tank incl. compressor", "lifetime" |
|
610
|
|
|
), |
|
611
|
|
|
"H2_pipeline": read_costs(costs, "H2 (g) pipeline", "lifetime"), |
|
612
|
|
|
"H2_pipeline_retrofit": read_costs( |
|
613
|
|
|
costs, "H2 (g) pipeline repurposed", "lifetime" |
|
614
|
|
|
), |
|
615
|
|
|
} |
|
616
|
|
|
|
|
617
|
|
|
# Insert costs |
|
618
|
|
|
parameters["capital_cost"] = {} |
|
619
|
|
|
|
|
620
|
|
|
for comp in parameters["overnight_cost"].keys(): |
|
621
|
|
|
parameters["capital_cost"][comp] = annualize_capital_costs( |
|
622
|
|
|
parameters["overnight_cost"][comp], |
|
623
|
|
|
parameters["lifetime"][comp], |
|
624
|
|
|
global_settings("eGon2035")["interest_rate"], |
|
625
|
|
|
) |
|
626
|
|
|
|
|
627
|
|
|
parameters["marginal_cost"] = { |
|
628
|
|
|
# "CH4": global_settings(scenario)["fuel_costs"]["gas"] |
|
629
|
|
|
# + global_settings(scenario)["co2_costs"] |
|
630
|
|
|
# * global_settings(scenario)["co2_emissions"]["gas"], |
|
631
|
|
|
"OCGT": read_costs(costs, "OCGT", "VOM"), |
|
632
|
|
|
"biogas": global_settings(scenario)["fuel_costs"]["gas"], |
|
633
|
|
|
"chp_gas": read_costs(costs, "central gas CHP", "VOM"), |
|
634
|
|
|
} |
|
635
|
|
|
|
|
636
|
|
|
else: |
|
637
|
|
|
print(f"Scenario name {scenario} is not valid.") |
|
638
|
|
|
|
|
639
|
|
|
return parameters |
|
|
|
|
|
|
640
|
|
|
|
|
641
|
|
|
|
|
642
|
|
|
def mobility(scenario): |
|
643
|
|
|
"""Returns parameters of the mobility sector for the selected scenario. |
|
644
|
|
|
|
|
645
|
|
|
Parameters |
|
646
|
|
|
---------- |
|
647
|
|
|
scenario : str |
|
648
|
|
|
Name of the scenario. |
|
649
|
|
|
|
|
650
|
|
|
Returns |
|
651
|
|
|
------- |
|
652
|
|
|
parameters : dict |
|
653
|
|
|
List of parameters of mobility sector |
|
654
|
|
|
|
|
655
|
|
|
Notes |
|
656
|
|
|
----- |
|
657
|
|
|
For a detailed description of the parameters see module |
|
658
|
|
|
:mod:`egon.data.datasets.emobility.motorized_individual_travel`. |
|
659
|
|
|
""" |
|
660
|
|
|
|
|
661
|
|
|
if scenario == "eGon2035": |
|
662
|
|
|
parameters = { |
|
663
|
|
|
"motorized_individual_travel": { |
|
664
|
|
|
"NEP C 2035": { |
|
665
|
|
|
"ev_count": 15100000, |
|
666
|
|
|
"bev_mini_share": 0.1589, |
|
667
|
|
|
"bev_medium_share": 0.3533, |
|
668
|
|
|
"bev_luxury_share": 0.1053, |
|
669
|
|
|
"phev_mini_share": 0.0984, |
|
670
|
|
|
"phev_medium_share": 0.2189, |
|
671
|
|
|
"phev_luxury_share": 0.0652, |
|
672
|
|
|
"model_parameters": {}, |
|
673
|
|
|
} |
|
674
|
|
|
} |
|
675
|
|
|
} |
|
676
|
|
|
|
|
677
|
|
|
elif scenario == "eGon100RE": |
|
678
|
|
|
# eGon100RE has 3 Scenario variations |
|
679
|
|
|
# * allocation will always be done for all scenarios |
|
680
|
|
|
# * model data will be written to tables `egon_etrago_*` only |
|
681
|
|
|
# for the variation as speciefied in `datasets.yml` |
|
682
|
|
|
parameters = { |
|
683
|
|
|
"motorized_individual_travel": { |
|
684
|
|
|
"Reference 2050": { |
|
685
|
|
|
"ev_count": 25065000, |
|
686
|
|
|
"bev_mini_share": 0.1589, |
|
687
|
|
|
"bev_medium_share": 0.3533, |
|
688
|
|
|
"bev_luxury_share": 0.1053, |
|
689
|
|
|
"phev_mini_share": 0.0984, |
|
690
|
|
|
"phev_medium_share": 0.2189, |
|
691
|
|
|
"phev_luxury_share": 0.0652, |
|
692
|
|
|
"model_parameters": {}, |
|
693
|
|
|
}, |
|
694
|
|
|
"Mobility Transition 2050": { |
|
695
|
|
|
"ev_count": 37745000, |
|
696
|
|
|
"bev_mini_share": 0.1589, |
|
697
|
|
|
"bev_medium_share": 0.3533, |
|
698
|
|
|
"bev_luxury_share": 0.1053, |
|
699
|
|
|
"phev_mini_share": 0.0984, |
|
700
|
|
|
"phev_medium_share": 0.2189, |
|
701
|
|
|
"phev_luxury_share": 0.0652, |
|
702
|
|
|
"model_parameters": {}, |
|
703
|
|
|
}, |
|
704
|
|
|
"Electrification 2050": { |
|
705
|
|
|
"ev_count": 47700000, |
|
706
|
|
|
"bev_mini_share": 0.1589, |
|
707
|
|
|
"bev_medium_share": 0.3533, |
|
708
|
|
|
"bev_luxury_share": 0.1053, |
|
709
|
|
|
"phev_mini_share": 0.0984, |
|
710
|
|
|
"phev_medium_share": 0.2189, |
|
711
|
|
|
"phev_luxury_share": 0.0652, |
|
712
|
|
|
"model_parameters": {}, |
|
713
|
|
|
}, |
|
714
|
|
|
} |
|
715
|
|
|
} |
|
716
|
|
|
|
|
717
|
|
|
else: |
|
718
|
|
|
print(f"Scenario name {scenario} is not valid.") |
|
719
|
|
|
parameters = dict() |
|
720
|
|
|
|
|
721
|
|
|
return parameters |
|
722
|
|
|
|
|
723
|
|
|
|
|
724
|
|
|
def heat(scenario): |
|
725
|
|
|
"""Returns paramaters of the heat sector for the selected scenario. |
|
726
|
|
|
|
|
727
|
|
|
Parameters |
|
728
|
|
|
---------- |
|
729
|
|
|
scenario : str |
|
730
|
|
|
Name of the scenario. |
|
731
|
|
|
|
|
732
|
|
|
Returns |
|
733
|
|
|
------- |
|
734
|
|
|
parameters : dict |
|
735
|
|
|
List of parameters of heat sector |
|
736
|
|
|
|
|
737
|
|
|
""" |
|
738
|
|
|
|
|
739
|
|
|
if scenario == "eGon2035": |
|
740
|
|
|
|
|
741
|
|
|
costs = read_csv(2035) |
|
742
|
|
|
|
|
743
|
|
|
parameters = { |
|
744
|
|
|
"DE_demand_reduction_residential": 0.854314018923104, |
|
745
|
|
|
"DE_demand_reduction_service": 0.498286864771128, |
|
746
|
|
|
"DE_district_heating_share": 0.14, |
|
747
|
|
|
} |
|
748
|
|
|
|
|
749
|
|
|
# Insert efficiency in p.u. |
|
750
|
|
|
parameters["efficiency"] = { |
|
751
|
|
|
"water_tank_charger": read_costs( |
|
752
|
|
|
costs, "water tank charger", "efficiency" |
|
753
|
|
|
), |
|
754
|
|
|
"water_tank_discharger": read_costs( |
|
755
|
|
|
costs, "water tank discharger", "efficiency" |
|
756
|
|
|
), |
|
757
|
|
|
"central_resistive_heater": read_costs( |
|
758
|
|
|
costs, "central resistive heater", "efficiency" |
|
759
|
|
|
), |
|
760
|
|
|
"central_gas_boiler": read_costs( |
|
761
|
|
|
costs, "central gas boiler", "efficiency" |
|
762
|
|
|
), |
|
763
|
|
|
"rural_resistive_heater": read_costs( |
|
764
|
|
|
costs, "decentral resistive heater", "efficiency" |
|
765
|
|
|
), |
|
766
|
|
|
"rural_gas_boiler": read_costs( |
|
767
|
|
|
costs, "decentral gas boiler", "efficiency" |
|
768
|
|
|
), |
|
769
|
|
|
} |
|
770
|
|
|
|
|
771
|
|
|
# Insert overnight investment costs, in EUR/MWh |
|
772
|
|
|
parameters["overnight_cost"] = { |
|
773
|
|
|
"central_water_tank": read_costs( |
|
774
|
|
|
costs, "central water tank storage", "investment" |
|
775
|
|
|
), |
|
776
|
|
|
"rural_water_tank": read_costs( |
|
777
|
|
|
costs, "decentral water tank storage", "investment" |
|
778
|
|
|
), |
|
779
|
|
|
} |
|
780
|
|
|
|
|
781
|
|
|
# Insert lifetime |
|
782
|
|
|
parameters["lifetime"] = { |
|
783
|
|
|
"central_water_tank": read_costs( |
|
784
|
|
|
costs, "central water tank storage", "lifetime" |
|
785
|
|
|
), |
|
786
|
|
|
"rural_water_tank": read_costs( |
|
787
|
|
|
costs, "decentral water tank storage", "lifetime" |
|
788
|
|
|
), |
|
789
|
|
|
} |
|
790
|
|
|
|
|
791
|
|
|
# Insert annualized capital costs |
|
792
|
|
|
parameters["capital_cost"] = {} |
|
793
|
|
|
|
|
794
|
|
|
for comp in parameters["overnight_cost"].keys(): |
|
795
|
|
|
parameters["capital_cost"][comp] = annualize_capital_costs( |
|
796
|
|
|
parameters["overnight_cost"][comp], |
|
797
|
|
|
parameters["lifetime"][comp], |
|
798
|
|
|
global_settings("eGon2035")["interest_rate"], |
|
799
|
|
|
) |
|
800
|
|
|
|
|
801
|
|
|
# Insert marginal_costs in EUR/MWh |
|
802
|
|
|
# marginal cost can include fuel, C02 and operation and maintenance costs |
|
803
|
|
|
parameters["marginal_cost"] = { |
|
804
|
|
|
"central_heat_pump": read_costs( |
|
805
|
|
|
costs, "central air-sourced heat pump", "VOM" |
|
806
|
|
|
), |
|
807
|
|
|
"central_gas_chp": read_costs(costs, "central gas CHP", "VOM"), |
|
808
|
|
|
"central_gas_boiler": read_costs( |
|
809
|
|
|
costs, "central gas boiler", "VOM" |
|
810
|
|
|
), |
|
811
|
|
|
"central_resistive_heater": read_costs( |
|
812
|
|
|
costs, "central resistive heater", "VOM" |
|
813
|
|
|
), |
|
814
|
|
|
"geo_thermal": 2.9, # Danish Energy Agency |
|
815
|
|
|
} |
|
816
|
|
|
|
|
817
|
|
|
elif scenario == "eGon100RE": |
|
818
|
|
|
parameters = { |
|
819
|
|
|
"DE_demand_reduction_residential": 0.640720648501849, |
|
820
|
|
|
"DE_demand_reduction_service": 0.390895195300713, |
|
821
|
|
|
"DE_district_heating_share": 0.19, |
|
822
|
|
|
} |
|
823
|
|
|
|
|
824
|
|
|
else: |
|
825
|
|
|
print(f"Scenario name {scenario} is not valid.") |
|
826
|
|
|
|
|
827
|
|
|
return parameters |
|
|
|
|
|
|
828
|
|
|
|
openego /
eGon-data
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