openego /
eGon-data
| Total Complexity | 41 |
| Total Lines | 1317 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
Complex classes like data.datasets.scenario_parameters.parameters often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | """The module containing all parameters for the scenario table |
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| 2 | """ |
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| 3 | |||
| 4 | import pandas as pd |
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| 5 | |||
| 6 | import egon.data.config |
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| 7 | |||
| 8 | |||
| 9 | def read_csv(year): |
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| 10 | source = egon.data.config.datasets()["pypsa-technology-data"]["targets"][ |
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| 11 | "data_dir" |
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| 12 | ] |
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| 13 | |||
| 14 | return pd.read_csv(f"{source}costs_{year}.csv") |
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| 15 | |||
| 16 | |||
| 17 | def read_costs(df, technology, parameter, value_only=True): |
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| 18 | result = df.loc[ |
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| 19 | (df.technology == technology) & (df.parameter == parameter) |
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| 20 | ].squeeze() |
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| 21 | |||
| 22 | # Rescale costs to EUR/MW |
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| 23 | if "EUR/kW" in result.unit: |
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| 24 | result.value *= 1e3 |
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| 25 | result.unit = result.unit.replace("kW", "MW") |
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| 26 | |||
| 27 | if value_only: |
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| 28 | return result.value |
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| 29 | else: |
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| 30 | return result |
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| 31 | |||
| 32 | |||
| 33 | def annualize_capital_costs(overnight_costs, lifetime, p): |
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| 34 | """ |
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| 35 | |||
| 36 | Parameters |
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| 37 | ---------- |
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| 38 | overnight_costs : float |
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| 39 | Overnight investment costs in EUR/MW or EUR/MW/km |
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| 40 | lifetime : int |
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| 41 | Number of years in which payments will be made |
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| 42 | p : float |
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| 43 | Interest rate in p.u. |
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| 44 | |||
| 45 | Returns |
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| 46 | ------- |
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| 47 | float |
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| 48 | Annualized capital costs in EUR/MW/a or EUR/MW/km/a |
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| 49 | |||
| 50 | """ |
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| 51 | |||
| 52 | # Calculate present value of an annuity (PVA) |
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| 53 | PVA = (1 / p) - (1 / (p * (1 + p) ** lifetime)) |
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| 54 | |||
| 55 | return overnight_costs / PVA |
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| 56 | |||
| 57 | |||
| 58 | def global_settings(scenario): |
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| 59 | """Returns global paramaters for the selected scenario. |
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| 60 | |||
| 61 | Parameters |
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| 62 | ---------- |
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| 63 | scenario : str |
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| 64 | Name of the scenario. |
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| 65 | |||
| 66 | Returns |
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| 67 | ------- |
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| 68 | parameters : dict |
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| 69 | List of global parameters |
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| 70 | |||
| 71 | """ |
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| 72 | |||
| 73 | if scenario == "eGon2035": |
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| 74 | parameters = { |
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| 75 | "weather_year": 2011, |
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| 76 | "population_year": 2035, |
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| 77 | "fuel_costs": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 39, table 6 |
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| 78 | "oil": 73.8, # [EUR/MWh] |
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| 79 | "gas": 25.6, # [EUR/MWh] |
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| 80 | "coal": 20.2, # [EUR/MWh] |
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| 81 | "lignite": 4.0, # [EUR/MWh] |
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| 82 | "nuclear": 1.7, # [EUR/MWh] |
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| 83 | "biomass": 40, # Dummyvalue, ToDo: Find a suitable source |
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| 84 | }, |
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| 85 | "co2_costs": 76.5, # [EUR/t_CO2] |
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| 86 | "co2_emissions": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 40, table 8 |
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| 87 | "waste": 0.165, # [t_CO2/MW_th] |
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| 88 | "lignite": 0.393, # [t_CO2/MW_th] |
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| 89 | "gas": 0.201, # [t_CO2/MW_th] |
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| 90 | "nuclear": 0.0, # [t_CO2/MW_th] |
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| 91 | "oil": 0.288, # [t_CO2/MW_th] |
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| 92 | "coal": 0.335, # [t_CO2/MW_th] |
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| 93 | "other_non_renewable": 0.268, # [t_CO2/MW_th] |
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| 94 | }, |
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| 95 | "interest_rate": 0.05, # [p.u.] |
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| 96 | } |
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| 97 | |||
| 98 | elif scenario == "eGon100RE": |
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| 99 | parameters = { |
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| 100 | "weather_year": 2011, |
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| 101 | "population_year": 2050, |
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| 102 | "fuel_costs": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 39, table 6 |
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| 103 | "oil": 73.8, # [EUR/MWh] |
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| 104 | "gas": 25.6, # [EUR/MWh] |
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| 105 | "coal": 20.2, # [EUR/MWh] |
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| 106 | "lignite": 4.0, # [EUR/MWh] |
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| 107 | "nuclear": 1.7, # [EUR/MWh] |
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| 108 | }, |
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| 109 | "co2_costs": 76.5, # [EUR/t_CO2] |
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| 110 | "co2_emissions": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 40, table 8 |
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| 111 | "waste": 0.165, # [t_CO2/MW_th] |
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| 112 | "lignite": 0.393, # [t_CO2/MW_th] |
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| 113 | "gas": 0.201, # [t_CO2/MW_th] |
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| 114 | "nuclear": 0.0, # [t_CO2/MW_th] |
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| 115 | "oil": 0.288, # [t_CO2/MW_th] |
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| 116 | "coal": 0.335, # [t_CO2/MW_th] |
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| 117 | "other_non_renewable": 0.268, # [t_CO2/MW_th] |
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| 118 | }, |
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| 119 | "interest_rate": 0.05, # [p.u.] |
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| 120 | } |
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| 121 | |||
| 122 | elif scenario == "eGon2021": |
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| 123 | parameters = { |
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| 124 | "weather_year": 2011, |
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| 125 | "population_year": 2021, |
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| 126 | } |
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| 127 | |||
| 128 | elif scenario == "status2023": |
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| 129 | parameters = { |
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| 130 | "weather_year": 2023, |
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| 131 | "population_year": 2019, # TODO: check if possible for 2023 |
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| 132 | "fuel_costs": { |
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| 133 | # TYNDP 2020, data for 2023 (https://2020.entsos-tyndp-scenarios.eu/fuel-commodities-and-carbon-prices/) |
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| 134 | "oil": 16.4 * 3.6, # [EUR/MWh] |
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| 135 | "gas": 6.1 * 3.6, # [EUR/MWh] |
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| 136 | "coal": 3.4 * 3.6, # [EUR/MWh] |
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| 137 | "lignite": 1.1 * 3.6, # [EUR/MWh] |
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| 138 | "nuclear": 0.47 * 3.6, # [EUR/MWh] |
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| 139 | "biomass": read_costs(read_csv(2020), "biomass", "fuel"), |
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| 140 | }, |
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| 141 | "co2_costs": 83.66, # [EUR/t_CO2], source: |
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| 142 | # https://www.iwr.de/news/co2-emissionshandel-deutschland-erzielt-2023-rekordeinnahmen-von-ueber-18-mrd-euro-news38528 |
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| 143 | "co2_emissions": { |
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| 144 | # Netzentwicklungsplan Strom 2037, Genehmigtr Scenariorahmen, p. 66, table 21 |
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| 145 | # https://www.netzentwicklungsplan.de/sites/default/files/2023-01/Szenariorahmen_2037_Genehmigung.pdf |
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| 146 | "waste": 0.165, # [t_CO2/MW_th] |
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| 147 | "lignite": 0.393, # [t_CO2/MW_th] |
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| 148 | "gas": 0.201, # [t_CO2/MW_th] |
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| 149 | "nuclear": 0.0, # [t_CO2/MW_th] |
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| 150 | "oil": 0.288, # [t_CO2/MW_th] |
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| 151 | "coal": 0.337, # [t_CO2/MW_th] |
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| 152 | "other_non_renewable": 0.268, # [t_CO2/MW_th] |
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| 153 | }, |
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| 154 | "interest_rate": 0.05, # [p.u.] |
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| 155 | } |
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| 156 | |||
| 157 | elif scenario == "status2019": |
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| 158 | parameters = { |
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| 159 | "weather_year": 2011, |
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| 160 | "population_year": 2019, |
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| 161 | "fuel_costs": { # TYNDP 2020, data for 2020 (https://2020.entsos-tyndp-scenarios.eu/fuel-commodities-and-carbon-prices/) |
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| 162 | "oil": 12.9*3.6, # [EUR/MWh] |
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| 163 | "gas": 5.6*3.6, # [EUR/MWh] |
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| 164 | "coal": 3.0*3.6, # [EUR/MWh] |
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| 165 | "lignite": 1.1*3.6, # [EUR/MWh] |
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| 166 | "nuclear": 0.47*3.6, # [EUR/MWh] |
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| 167 | "biomass": read_costs(read_csv(2020), "biomass", "fuel"), |
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| 168 | }, |
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| 169 | "co2_costs": 24.7, # [EUR/t_CO2], source: |
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| 170 | #https://de.statista.com/statistik/daten/studie/1304069/umfrage/preisentwicklung-von-co2-emissionsrechten-in-eu/ |
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| 171 | "co2_emissions": { # Netzentwicklungsplan Strom 2035, Version 2021, 1. Entwurf, p. 40, table 8 |
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| 172 | "waste": 0.165, # [t_CO2/MW_th] |
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| 173 | "lignite": 0.393, # [t_CO2/MW_th] |
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| 174 | "gas": 0.201, # [t_CO2/MW_th] |
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| 175 | "nuclear": 0.0, # [t_CO2/MW_th] |
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| 176 | "oil": 0.288, # [t_CO2/MW_th] |
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| 177 | "coal": 0.335, # [t_CO2/MW_th] |
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| 178 | "other_non_renewable": 0.268, # [t_CO2/MW_th] |
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| 179 | }, |
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| 180 | "interest_rate": 0.05, # [p.u.] |
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| 181 | } |
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| 182 | |||
| 183 | else: |
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| 184 | print(f"Scenario name {scenario} is not valid.") |
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| 185 | |||
| 186 | return parameters |
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|
introduced
by
|
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| 187 | |||
| 188 | |||
| 189 | def electricity(scenario): |
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| 190 | """Returns paramaters of the electricity sector for the selected scenario. |
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| 191 | |||
| 192 | Parameters |
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| 193 | ---------- |
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| 194 | scenario : str |
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| 195 | Name of the scenario. |
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| 196 | |||
| 197 | Returns |
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| 198 | ------- |
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| 199 | parameters : dict |
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| 200 | List of parameters of electricity sector |
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| 201 | |||
| 202 | """ |
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| 203 | |||
| 204 | if scenario == "eGon2035": |
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| 205 | costs = read_csv(2035) |
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| 206 | |||
| 207 | parameters = {"grid_topology": "Status Quo"} |
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| 208 | # Insert effciencies in p.u. |
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| 209 | parameters["efficiency"] = { |
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| 210 | "oil": read_costs(costs, "oil", "efficiency"), |
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| 211 | "battery": { |
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| 212 | "store": read_costs(costs, "battery inverter", "efficiency") |
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| 213 | ** 0.5, |
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| 214 | "dispatch": read_costs(costs, "battery inverter", "efficiency") |
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| 215 | ** 0.5, |
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| 216 | "standing_loss": 0, |
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| 217 | "max_hours": 6, |
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| 218 | "cyclic_state_of_charge": True, |
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| 219 | }, |
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| 220 | "pumped_hydro": { |
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| 221 | "store": read_costs(costs, "PHS", "efficiency") ** 0.5, |
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| 222 | "dispatch": read_costs(costs, "PHS", "efficiency") ** 0.5, |
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| 223 | "standing_loss": 0, |
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| 224 | "max_hours": 6, |
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| 225 | "cyclic_state_of_charge": True, |
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| 226 | }, |
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| 227 | } |
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| 228 | # Warning: Electrical parameters are set in osmTGmod, editing these values will not change the data! |
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| 229 | parameters["electrical_parameters"] = { |
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| 230 | "ac_line_110kV": { |
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| 231 | "s_nom": 260, # [MVA] |
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| 232 | "R": 0.109, # [Ohm/km] |
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| 233 | "L": 1.2, # [mH/km] |
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| 234 | }, |
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| 235 | "ac_cable_110kV": { |
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| 236 | "s_nom": 280, # [MVA] |
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| 237 | "R": 0.0177, # [Ohm/km] |
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| 238 | "L": 0.3, # [mH/km] |
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| 239 | }, |
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| 240 | "ac_line_220kV": { |
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| 241 | "s_nom": 520, # [MVA] |
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| 242 | "R": 0.109, # [Ohm/km] |
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| 243 | "L": 1.0, # [mH/km] |
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| 244 | }, |
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| 245 | "ac_cable_220kV": { |
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| 246 | "s_nom": 550, # [MVA] |
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| 247 | "R": 0.0176, # [Ohm/km] |
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| 248 | "L": 0.3, # [mH/km] |
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| 249 | }, |
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| 250 | "ac_line_380kV": { |
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| 251 | "s_nom": 1790, # [MVA] |
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| 252 | "R": 0.028, # [Ohm/km] |
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| 253 | "L": 0.8, # [mH/km] |
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| 254 | }, |
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| 255 | "ac_cable_380kV": { |
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| 256 | "s_nom": 925, # [MVA] |
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| 257 | "R": 0.0175, # [Ohm/km] |
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| 258 | "L": 0.3, # [mH/km] |
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| 259 | }, |
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| 260 | } |
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| 261 | |||
| 262 | # Insert overnight investment costs |
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| 263 | # Source for eHV grid costs: Netzentwicklungsplan Strom 2035, Version 2021, 2. Entwurf |
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| 264 | # Source for HV lines and cables: Dena Verteilnetzstudie 2021, p. 146 |
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| 265 | parameters["overnight_cost"] = { |
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| 266 | "ac_ehv_overhead_line": 2.5e6 |
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| 267 | / ( |
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| 268 | 2 |
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| 269 | * parameters["electrical_parameters"]["ac_line_380kV"]["s_nom"] |
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| 270 | ), # [EUR/km/MW] |
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| 271 | "ac_ehv_cable": 11.5e6 |
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| 272 | / ( |
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| 273 | 2 |
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| 274 | * parameters["electrical_parameters"]["ac_cable_380kV"][ |
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| 275 | "s_nom" |
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| 276 | ] |
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| 277 | ), # [EUR/km/MW] |
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| 278 | "ac_hv_overhead_line": 0.06e6 |
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| 279 | / parameters["electrical_parameters"]["ac_line_110kV"][ |
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| 280 | "s_nom" |
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| 281 | ], # [EUR/km/MW] |
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| 282 | "ac_hv_cable": 0.8e6 |
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| 283 | / parameters["electrical_parameters"]["ac_cable_110kV"][ |
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| 284 | "s_nom" |
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| 285 | ], # [EUR/km/MW] |
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| 286 | "dc_overhead_line": 0.5e3, # [EUR/km/MW] |
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| 287 | "dc_cable": 3.25e3, # [EUR/km/MW] |
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| 288 | "dc_inverter": 0.3e6, # [EUR/MW] |
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| 289 | "transformer_380_110": 17.33e3, # [EUR/MVA] |
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| 290 | "transformer_380_220": 13.33e3, # [EUR/MVA] |
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| 291 | "transformer_220_110": 17.5e3, # [EUR/MVA] |
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| 292 | "battery inverter": read_costs( |
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| 293 | costs, "battery inverter", "investment" |
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| 294 | ), |
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| 295 | "battery storage": read_costs( |
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| 296 | costs, "battery storage", "investment" |
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| 297 | ), |
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| 298 | } |
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| 299 | |||
| 300 | parameters["lifetime"] = { |
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| 301 | "ac_ehv_overhead_line": read_costs( |
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| 302 | costs, "HVAC overhead", "lifetime" |
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| 303 | ), |
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| 304 | "ac_ehv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
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| 305 | "ac_hv_overhead_line": read_costs( |
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| 306 | costs, "HVAC overhead", "lifetime" |
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| 307 | ), |
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| 308 | "ac_hv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
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| 309 | "dc_overhead_line": read_costs(costs, "HVDC overhead", "lifetime"), |
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| 310 | "dc_cable": read_costs(costs, "HVDC overhead", "lifetime"), |
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| 311 | "dc_inverter": read_costs(costs, "HVDC inverter pair", "lifetime"), |
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| 312 | "transformer_380_110": read_costs( |
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| 313 | costs, "HVAC overhead", "lifetime" |
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| 314 | ), |
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| 315 | "transformer_380_220": read_costs( |
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| 316 | costs, "HVAC overhead", "lifetime" |
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| 317 | ), |
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| 318 | "transformer_220_110": read_costs( |
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| 319 | costs, "HVAC overhead", "lifetime" |
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| 320 | ), |
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| 321 | "battery inverter": read_costs( |
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| 322 | costs, "battery inverter", "lifetime" |
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| 323 | ), |
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| 324 | "battery storage": read_costs( |
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| 325 | costs, "battery storage", "lifetime" |
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| 326 | ), |
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| 327 | } |
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| 328 | # Insert annualized capital costs |
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| 329 | # lines in EUR/km/MW/a |
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| 330 | # transfermer, inverter, battery in EUR/MW/a |
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| 331 | parameters["capital_cost"] = {} |
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| 332 | |||
| 333 | for comp in parameters["overnight_cost"].keys(): |
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| 334 | parameters["capital_cost"][comp] = annualize_capital_costs( |
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| 335 | parameters["overnight_cost"][comp], |
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| 336 | parameters["lifetime"][comp], |
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| 337 | global_settings("eGon2035")["interest_rate"], |
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| 338 | ) |
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| 339 | |||
| 340 | parameters["capital_cost"]["battery"] = ( |
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| 341 | parameters["capital_cost"]["battery inverter"] |
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| 342 | + parameters["efficiency"]["battery"]["max_hours"] |
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| 343 | * parameters["capital_cost"]["battery storage"] |
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| 344 | ) |
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| 345 | |||
| 346 | # Insert marginal_costs in EUR/MWh |
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| 347 | # marginal cost can include fuel, C02 and operation and maintenance costs |
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| 348 | parameters["marginal_cost"] = { |
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| 349 | "oil": global_settings(scenario)["fuel_costs"]["oil"] |
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| 350 | / read_costs(costs, "oil", "efficiency") |
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| 351 | + read_costs(costs, "oil", "VOM") |
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| 352 | + global_settings(scenario)["co2_costs"] |
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| 353 | * global_settings(scenario)["co2_emissions"]["oil"] |
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| 354 | / read_costs(costs, "oil", "efficiency"), |
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| 355 | "other_non_renewable": global_settings(scenario)["fuel_costs"][ |
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| 356 | "gas" |
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| 357 | ] / read_costs(costs, "OCGT", "efficiency") |
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| 358 | + global_settings(scenario)["co2_costs"] |
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| 359 | * global_settings(scenario)["co2_emissions"][ |
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| 360 | "other_non_renewable" |
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| 361 | ] / read_costs(costs, "OCGT", "efficiency"), |
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| 362 | "lignite": global_settings(scenario)["fuel_costs"]["lignite"] |
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| 363 | / read_costs(costs, "lignite", "efficiency") |
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| 364 | + read_costs(costs, "lignite", "VOM") |
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| 365 | + global_settings(scenario)["co2_costs"] |
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| 366 | * global_settings(scenario)["co2_emissions"]["lignite"] |
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| 367 | / read_costs(costs, "lignite", "efficiency"), |
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| 368 | "coal": global_settings(scenario)["fuel_costs"]["coal"] |
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| 369 | / read_costs(costs, "coal", "efficiency") |
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| 370 | + read_costs(costs, "coal", "VOM") |
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| 371 | + global_settings(scenario)["co2_costs"] |
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| 372 | * global_settings(scenario)["co2_emissions"]["coal"] |
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| 373 | / read_costs(costs, "coal", "efficiency"), |
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| 374 | "nuclear": global_settings(scenario)["fuel_costs"]["nuclear"] |
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| 375 | / read_costs(costs, "nuclear", "efficiency") |
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| 376 | + read_costs(costs, "nuclear", "VOM"), |
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| 377 | "biomass": global_settings(scenario)["fuel_costs"]["biomass"] |
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| 378 | / read_costs(costs, "biomass", "efficiency") |
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| 379 | + read_costs(costs, "biomass CHP", "VOM"), |
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| 380 | "wind_offshore": read_costs(costs, "offwind", "VOM"), |
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| 381 | "wind_onshore": read_costs(costs, "onwind", "VOM"), |
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| 382 | "solar": read_costs(costs, "solar", "VOM"), |
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| 383 | } |
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| 384 | |||
| 385 | elif scenario == "eGon100RE": |
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| 386 | costs = read_csv(2050) |
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| 387 | |||
| 388 | parameters = {"grid_topology": "Status Quo"} |
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| 389 | |||
| 390 | # Insert effciencies in p.u. |
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| 391 | parameters["efficiency"] = { |
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| 392 | "battery": { |
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| 393 | "store": read_costs(costs, "battery inverter", "efficiency") |
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| 394 | ** 0.5, |
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| 395 | "dispatch": read_costs(costs, "battery inverter", "efficiency") |
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| 396 | ** 0.5, |
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| 397 | "standing_loss": 0, |
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| 398 | "max_hours": 6, |
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| 399 | "cyclic_state_of_charge": True, |
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| 400 | }, |
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| 401 | "pumped_hydro": { |
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| 402 | "store": read_costs(costs, "PHS", "efficiency") ** 0.5, |
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| 403 | "dispatch": read_costs(costs, "PHS", "efficiency") ** 0.5, |
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| 404 | "standing_loss": 0, |
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| 405 | "max_hours": 6, |
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| 406 | "cyclic_state_of_charge": True, |
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| 407 | }, |
||
| 408 | } |
||
| 409 | # Warning: Electrical parameters are set in osmTGmod, editing these values will not change the data! |
||
| 410 | parameters["electrical_parameters"] = { |
||
| 411 | "ac_line_110kV": { |
||
| 412 | "s_nom": 260, # [MVA] |
||
| 413 | "R": 0.109, # [Ohm/km] |
||
| 414 | "L": 1.2, # [mH/km] |
||
| 415 | }, |
||
| 416 | "ac_cable_110kV": { |
||
| 417 | "s_nom": 280, # [MVA] |
||
| 418 | "R": 0.0177, # [Ohm/km] |
||
| 419 | "L": 0.3, # [mH/km] |
||
| 420 | }, |
||
| 421 | "ac_line_220kV": { |
||
| 422 | "s_nom": 520, # [MVA] |
||
| 423 | "R": 0.109, # [Ohm/km] |
||
| 424 | "L": 1.0, # [mH/km] |
||
| 425 | }, |
||
| 426 | "ac_cable_220kV": { |
||
| 427 | "s_nom": 550, # [MVA] |
||
| 428 | "R": 0.0176, # [Ohm/km] |
||
| 429 | "L": 0.3, # [mH/km] |
||
| 430 | }, |
||
| 431 | "ac_line_380kV": { |
||
| 432 | "s_nom": 1790, # [MVA] |
||
| 433 | "R": 0.028, # [Ohm/km] |
||
| 434 | "L": 0.8, # [mH/km] |
||
| 435 | }, |
||
| 436 | "ac_cable_380kV": { |
||
| 437 | "s_nom": 925, # [MVA] |
||
| 438 | "R": 0.0175, # [Ohm/km] |
||
| 439 | "L": 0.3, # [mH/km] |
||
| 440 | }, |
||
| 441 | } |
||
| 442 | |||
| 443 | # Insert overnight investment costs |
||
| 444 | # Source for transformer costs: Netzentwicklungsplan Strom 2035, Version 2021, 2. Entwurf |
||
| 445 | # Source for HV lines and cables: Dena Verteilnetzstudie 2021, p. 146 |
||
| 446 | parameters["overnight_cost"] = { |
||
| 447 | "ac_ehv_overhead_line": read_costs( |
||
| 448 | costs, "HVAC overhead", "investment" |
||
| 449 | ), # [EUR/km/MW] |
||
| 450 | "ac_hv_overhead_line": 0.06e6 |
||
| 451 | / parameters["electrical_parameters"]["ac_line_110kV"][ |
||
| 452 | "s_nom" |
||
| 453 | ], # [EUR/km/MW] |
||
| 454 | "ac_hv_cable": 0.8e6 |
||
| 455 | / parameters["electrical_parameters"]["ac_cable_110kV"][ |
||
| 456 | "s_nom" |
||
| 457 | ], # [EUR/km/MW] |
||
| 458 | "dc_overhead_line": read_costs( |
||
| 459 | costs, "HVDC overhead", "investment" |
||
| 460 | ), |
||
| 461 | "dc_cable": read_costs(costs, "HVDC overhead", "investment"), |
||
| 462 | "dc_inverter": read_costs( |
||
| 463 | costs, "HVDC inverter pair", "investment" |
||
| 464 | ), |
||
| 465 | "transformer_380_110": 17.33e3, # [EUR/MVA] |
||
| 466 | "transformer_380_220": 13.33e3, # [EUR/MVA] |
||
| 467 | "transformer_220_110": 17.5e3, # [EUR/MVA] |
||
| 468 | "battery inverter": read_costs( |
||
| 469 | costs, "battery inverter", "investment" |
||
| 470 | ), |
||
| 471 | "battery storage": read_costs( |
||
| 472 | costs, "battery storage", "investment" |
||
| 473 | ), |
||
| 474 | } |
||
| 475 | |||
| 476 | parameters["lifetime"] = { |
||
| 477 | "ac_ehv_overhead_line": read_costs( |
||
| 478 | costs, "HVAC overhead", "lifetime" |
||
| 479 | ), |
||
| 480 | "ac_ehv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
||
| 481 | "ac_hv_overhead_line": read_costs( |
||
| 482 | costs, "HVAC overhead", "lifetime" |
||
| 483 | ), |
||
| 484 | "ac_hv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
||
| 485 | "dc_overhead_line": read_costs(costs, "HVDC overhead", "lifetime"), |
||
| 486 | "dc_cable": read_costs(costs, "HVDC overhead", "lifetime"), |
||
| 487 | "dc_inverter": read_costs(costs, "HVDC inverter pair", "lifetime"), |
||
| 488 | "transformer_380_110": read_costs( |
||
| 489 | costs, "HVAC overhead", "lifetime" |
||
| 490 | ), |
||
| 491 | "transformer_380_220": read_costs( |
||
| 492 | costs, "HVAC overhead", "lifetime" |
||
| 493 | ), |
||
| 494 | "transformer_220_110": read_costs( |
||
| 495 | costs, "HVAC overhead", "lifetime" |
||
| 496 | ), |
||
| 497 | "battery inverter": read_costs( |
||
| 498 | costs, "battery inverter", "lifetime" |
||
| 499 | ), |
||
| 500 | "battery storage": read_costs( |
||
| 501 | costs, "battery storage", "lifetime" |
||
| 502 | ), |
||
| 503 | } |
||
| 504 | # Insert annualized capital costs |
||
| 505 | # lines in EUR/km/MW/a |
||
| 506 | # transfermer, inverter, battery in EUR/MW/a |
||
| 507 | parameters["capital_cost"] = {} |
||
| 508 | |||
| 509 | for comp in parameters["overnight_cost"].keys(): |
||
| 510 | parameters["capital_cost"][comp] = annualize_capital_costs( |
||
| 511 | parameters["overnight_cost"][comp], |
||
| 512 | parameters["lifetime"][comp], |
||
| 513 | global_settings("eGon2035")["interest_rate"], |
||
| 514 | ) |
||
| 515 | |||
| 516 | parameters["capital_cost"]["battery"] = ( |
||
| 517 | parameters["capital_cost"]["battery inverter"] |
||
| 518 | + parameters["efficiency"]["battery"]["max_hours"] |
||
| 519 | * parameters["capital_cost"]["battery storage"] |
||
| 520 | ) |
||
| 521 | |||
| 522 | # Insert marginal_costs in EUR/MWh |
||
| 523 | # marginal cost can include fuel, C02 and operation and maintenance costs |
||
| 524 | parameters["marginal_cost"] = { |
||
| 525 | "wind_offshore": read_costs(costs, "offwind", "VOM"), |
||
| 526 | "wind_onshore": read_costs(costs, "onwind", "VOM"), |
||
| 527 | "solar": read_costs(costs, "solar", "VOM"), |
||
| 528 | } |
||
| 529 | |||
| 530 | elif scenario == "eGon2021": |
||
| 531 | parameters = {} |
||
| 532 | |||
| 533 | elif (scenario == "status2019") or (scenario == "status2023"): |
||
| 534 | costs = read_csv(2020) |
||
| 535 | |||
| 536 | parameters = {"grid_topology": "Status Quo"} |
||
| 537 | # Insert effciencies in p.u. |
||
| 538 | parameters["efficiency"] = { |
||
| 539 | "oil": read_costs(costs, "oil", "efficiency"), |
||
| 540 | "battery": { |
||
| 541 | "store": read_costs(costs, "battery inverter", "efficiency") |
||
| 542 | ** 0.5, |
||
| 543 | "dispatch": read_costs(costs, "battery inverter", "efficiency") |
||
| 544 | ** 0.5, |
||
| 545 | "standing_loss": 0, |
||
| 546 | "max_hours": 6, |
||
| 547 | "cyclic_state_of_charge": True, |
||
| 548 | }, |
||
| 549 | "pumped_hydro": { |
||
| 550 | "store": read_costs(costs, "PHS", "efficiency") ** 0.5, |
||
| 551 | "dispatch": read_costs(costs, "PHS", "efficiency") ** 0.5, |
||
| 552 | "standing_loss": 0, |
||
| 553 | "max_hours": 6, |
||
| 554 | "cyclic_state_of_charge": True, |
||
| 555 | }, |
||
| 556 | } |
||
| 557 | # Warning: Electrical parameters are set in osmTGmod, editing these values will not change the data! |
||
| 558 | parameters["electrical_parameters"] = { |
||
| 559 | "ac_line_110kV": { |
||
| 560 | "s_nom": 260, # [MVA] |
||
| 561 | "R": 0.109, # [Ohm/km] |
||
| 562 | "L": 1.2, # [mH/km] |
||
| 563 | }, |
||
| 564 | "ac_cable_110kV": { |
||
| 565 | "s_nom": 280, # [MVA] |
||
| 566 | "R": 0.0177, # [Ohm/km] |
||
| 567 | "L": 0.3, # [mH/km] |
||
| 568 | }, |
||
| 569 | "ac_line_220kV": { |
||
| 570 | "s_nom": 520, # [MVA] |
||
| 571 | "R": 0.109, # [Ohm/km] |
||
| 572 | "L": 1.0, # [mH/km] |
||
| 573 | }, |
||
| 574 | "ac_cable_220kV": { |
||
| 575 | "s_nom": 550, # [MVA] |
||
| 576 | "R": 0.0176, # [Ohm/km] |
||
| 577 | "L": 0.3, # [mH/km] |
||
| 578 | }, |
||
| 579 | "ac_line_380kV": { |
||
| 580 | "s_nom": 1790, # [MVA] |
||
| 581 | "R": 0.028, # [Ohm/km] |
||
| 582 | "L": 0.8, # [mH/km] |
||
| 583 | }, |
||
| 584 | "ac_cable_380kV": { |
||
| 585 | "s_nom": 925, # [MVA] |
||
| 586 | "R": 0.0175, # [Ohm/km] |
||
| 587 | "L": 0.3, # [mH/km] |
||
| 588 | }, |
||
| 589 | } |
||
| 590 | |||
| 591 | # Insert overnight investment costs |
||
| 592 | # Source for eHV grid costs: Netzentwicklungsplan Strom 2035, Version 2021, 2. Entwurf |
||
| 593 | # Source for HV lines and cables: Dena Verteilnetzstudie 2021, p. 146 |
||
| 594 | parameters["overnight_cost"] = { |
||
| 595 | "ac_ehv_overhead_line": 2.5e6 |
||
| 596 | / ( |
||
| 597 | 2 |
||
| 598 | * parameters["electrical_parameters"]["ac_line_380kV"]["s_nom"] |
||
| 599 | ), # [EUR/km/MW] |
||
| 600 | "ac_ehv_cable": 11.5e6 |
||
| 601 | / ( |
||
| 602 | 2 |
||
| 603 | * parameters["electrical_parameters"]["ac_cable_380kV"][ |
||
| 604 | "s_nom" |
||
| 605 | ] |
||
| 606 | ), # [EUR/km/MW] |
||
| 607 | "ac_hv_overhead_line": 0.06e6 |
||
| 608 | / parameters["electrical_parameters"]["ac_line_110kV"][ |
||
| 609 | "s_nom" |
||
| 610 | ], # [EUR/km/MW] |
||
| 611 | "ac_hv_cable": 0.8e6 |
||
| 612 | / parameters["electrical_parameters"]["ac_cable_110kV"][ |
||
| 613 | "s_nom" |
||
| 614 | ], # [EUR/km/MW] |
||
| 615 | "dc_overhead_line": 0.5e3, # [EUR/km/MW] |
||
| 616 | "dc_cable": 3.25e3, # [EUR/km/MW] |
||
| 617 | "dc_inverter": 0.3e6, # [EUR/MW] |
||
| 618 | "transformer_380_110": 17.33e3, # [EUR/MVA] |
||
| 619 | "transformer_380_220": 13.33e3, # [EUR/MVA] |
||
| 620 | "transformer_220_110": 17.5e3, # [EUR/MVA] |
||
| 621 | "battery inverter": read_costs( |
||
| 622 | costs, "battery inverter", "investment" |
||
| 623 | ), |
||
| 624 | "battery storage": read_costs( |
||
| 625 | costs, "battery storage", "investment" |
||
| 626 | ), |
||
| 627 | } |
||
| 628 | |||
| 629 | parameters["lifetime"] = { |
||
| 630 | "ac_ehv_overhead_line": read_costs( |
||
| 631 | costs, "HVAC overhead", "lifetime" |
||
| 632 | ), |
||
| 633 | "ac_ehv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
||
| 634 | "ac_hv_overhead_line": read_costs( |
||
| 635 | costs, "HVAC overhead", "lifetime" |
||
| 636 | ), |
||
| 637 | "ac_hv_cable": read_costs(costs, "HVAC overhead", "lifetime"), |
||
| 638 | "dc_overhead_line": read_costs(costs, "HVDC overhead", "lifetime"), |
||
| 639 | "dc_cable": read_costs(costs, "HVDC overhead", "lifetime"), |
||
| 640 | "dc_inverter": read_costs(costs, "HVDC inverter pair", "lifetime"), |
||
| 641 | "transformer_380_110": read_costs( |
||
| 642 | costs, "HVAC overhead", "lifetime" |
||
| 643 | ), |
||
| 644 | "transformer_380_220": read_costs( |
||
| 645 | costs, "HVAC overhead", "lifetime" |
||
| 646 | ), |
||
| 647 | "transformer_220_110": read_costs( |
||
| 648 | costs, "HVAC overhead", "lifetime" |
||
| 649 | ), |
||
| 650 | "battery inverter": read_costs( |
||
| 651 | costs, "battery inverter", "lifetime" |
||
| 652 | ), |
||
| 653 | "battery storage": read_costs( |
||
| 654 | costs, "battery storage", "lifetime" |
||
| 655 | ), |
||
| 656 | } |
||
| 657 | # Insert annualized capital costs |
||
| 658 | # lines in EUR/km/MW/a |
||
| 659 | # transfermer, inverter, battery in EUR/MW/a |
||
| 660 | parameters["capital_cost"] = {} |
||
| 661 | |||
| 662 | for comp in parameters["overnight_cost"].keys(): |
||
| 663 | parameters["capital_cost"][comp] = annualize_capital_costs( |
||
| 664 | parameters["overnight_cost"][comp], |
||
| 665 | parameters["lifetime"][comp], |
||
| 666 | global_settings("status2019")["interest_rate"], |
||
| 667 | ) |
||
| 668 | |||
| 669 | parameters["capital_cost"]["battery"] = ( |
||
| 670 | parameters["capital_cost"]["battery inverter"] |
||
| 671 | + parameters["efficiency"]["battery"]["max_hours"] |
||
| 672 | * parameters["capital_cost"]["battery storage"] |
||
| 673 | ) |
||
| 674 | |||
| 675 | parameters["marginal_cost"] = { |
||
| 676 | "oil": global_settings(scenario)["fuel_costs"]["oil"] |
||
| 677 | / read_costs(costs, "oil", "efficiency") |
||
| 678 | + read_costs(costs, "oil", "VOM") |
||
| 679 | + global_settings(scenario)["co2_costs"] |
||
| 680 | * global_settings(scenario)["co2_emissions"]["oil"] |
||
| 681 | / read_costs(costs, "oil", "efficiency"), |
||
| 682 | "other_non_renewable": global_settings(scenario)["fuel_costs"][ |
||
| 683 | "gas" |
||
| 684 | ] / read_costs(costs, "OCGT", "efficiency") |
||
| 685 | + global_settings(scenario)["co2_costs"] |
||
| 686 | * global_settings(scenario)["co2_emissions"][ |
||
| 687 | "other_non_renewable" |
||
| 688 | ] / read_costs(costs, "OCGT", "efficiency"), |
||
| 689 | "lignite": global_settings(scenario)["fuel_costs"]["lignite"] |
||
| 690 | / read_costs(costs, "lignite", "efficiency") |
||
| 691 | + read_costs(costs, "lignite", "VOM") |
||
| 692 | + global_settings(scenario)["co2_costs"] |
||
| 693 | * global_settings(scenario)["co2_emissions"]["lignite"] |
||
| 694 | / read_costs(costs, "lignite", "efficiency"), |
||
| 695 | "coal": global_settings(scenario)["fuel_costs"]["coal"] |
||
| 696 | / read_costs(costs, "coal", "efficiency") |
||
| 697 | + read_costs(costs, "coal", "VOM") |
||
| 698 | + global_settings(scenario)["co2_costs"] |
||
| 699 | * global_settings(scenario)["co2_emissions"]["coal"] |
||
| 700 | / read_costs(costs, "coal", "efficiency"), |
||
| 701 | "OCGT": global_settings(scenario)["fuel_costs"]["gas"] |
||
| 702 | / read_costs(costs, "OCGT", "efficiency") |
||
| 703 | + read_costs(costs, "OCGT", "VOM") |
||
| 704 | + global_settings(scenario)["co2_costs"] |
||
| 705 | * global_settings(scenario)["co2_emissions"]["gas"] |
||
| 706 | / read_costs(costs, "OCGT", "efficiency"), |
||
| 707 | "nuclear": global_settings(scenario)["fuel_costs"]["nuclear"] |
||
| 708 | / read_costs(costs, "nuclear", "efficiency") |
||
| 709 | + read_costs(costs, "nuclear", "VOM"), |
||
| 710 | "biomass": global_settings(scenario)["fuel_costs"]["biomass"] |
||
| 711 | / read_costs(costs, "biomass CHP", "efficiency") |
||
| 712 | + read_costs(costs, "biomass CHP", "VOM"), |
||
| 713 | "wind_offshore": read_costs(costs, "offwind", "VOM"), |
||
| 714 | "wind_onshore": read_costs(costs, "onwind", "VOM"), |
||
| 715 | "solar": read_costs(costs, "solar", "VOM"), |
||
| 716 | } |
||
| 717 | |||
| 718 | else: |
||
| 719 | print(f"Scenario name {scenario} is not valid.") |
||
| 720 | |||
| 721 | return parameters |
||
| 722 | |||
| 723 | |||
| 724 | def gas(scenario): |
||
| 725 | """Returns paramaters of the gas 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 gas sector |
||
| 736 | |||
| 737 | """ |
||
| 738 | |||
| 739 | if scenario == "eGon2035": |
||
| 740 | costs = read_csv(2035) |
||
| 741 | |||
| 742 | parameters = { |
||
| 743 | "main_gas_carrier": "CH4", |
||
| 744 | "H2_feedin_volumetric_fraction": 0.15, |
||
| 745 | } |
||
| 746 | # Insert effciencies in p.u. |
||
| 747 | parameters["efficiency"] = { |
||
| 748 | "power_to_H2": read_costs(costs, "electrolysis", "efficiency"), |
||
| 749 | "H2_to_power": read_costs(costs, "fuel cell", "efficiency"), |
||
| 750 | "CH4_to_H2": read_costs(costs, "SMR", "efficiency"), |
||
| 751 | "H2_feedin": 1, |
||
| 752 | "H2_to_CH4": read_costs(costs, "methanation", "efficiency"), |
||
| 753 | "OCGT": read_costs(costs, "OCGT", "efficiency"), |
||
| 754 | } |
||
| 755 | # Insert overnight investment costs |
||
| 756 | parameters["overnight_cost"] = { |
||
| 757 | "power_to_H2": read_costs(costs, "electrolysis", "investment"), |
||
| 758 | "H2_to_power": read_costs(costs, "fuel cell", "investment"), |
||
| 759 | "CH4_to_H2": read_costs(costs, "SMR", "investment"), |
||
| 760 | "H2_to_CH4": read_costs(costs, "methanation", "investment"), |
||
| 761 | "H2_feedin": 0, |
||
| 762 | "H2_underground": read_costs( |
||
| 763 | costs, "hydrogen storage underground", "investment" |
||
| 764 | ), |
||
| 765 | "H2_overground": read_costs( |
||
| 766 | costs, "hydrogen storage tank incl. compressor", "investment" |
||
| 767 | ), |
||
| 768 | "H2_pipeline": read_costs( |
||
| 769 | costs, "H2 (g) pipeline", "investment" |
||
| 770 | ), # [EUR/MW/km] |
||
| 771 | } |
||
| 772 | |||
| 773 | # Insert lifetime |
||
| 774 | parameters["lifetime"] = { |
||
| 775 | "power_to_H2": read_costs(costs, "electrolysis", "lifetime"), |
||
| 776 | "H2_to_power": read_costs(costs, "fuel cell", "lifetime"), |
||
| 777 | "CH4_to_H2": read_costs(costs, "SMR", "lifetime"), |
||
| 778 | "H2_to_CH4": read_costs(costs, "methanation", "lifetime"), |
||
| 779 | "H2_underground": read_costs( |
||
| 780 | costs, "hydrogen storage underground", "lifetime" |
||
| 781 | ), |
||
| 782 | "H2_overground": read_costs( |
||
| 783 | costs, "hydrogen storage tank incl. compressor", "lifetime" |
||
| 784 | ), |
||
| 785 | "H2_pipeline": read_costs(costs, "H2 (g) pipeline", "lifetime"), |
||
| 786 | "H2_feedin": read_costs(costs, "CH4 (g) pipeline", "lifetime"), |
||
| 787 | } |
||
| 788 | |||
| 789 | # Insert annualized capital costs |
||
| 790 | parameters["capital_cost"] = {} |
||
| 791 | |||
| 792 | for comp in parameters["overnight_cost"].keys(): |
||
| 793 | parameters["capital_cost"][comp] = annualize_capital_costs( |
||
| 794 | parameters["overnight_cost"][comp], |
||
| 795 | parameters["lifetime"][comp], |
||
| 796 | global_settings("eGon2035")["interest_rate"], |
||
| 797 | ) |
||
| 798 | |||
| 799 | parameters["marginal_cost"] = { |
||
| 800 | "CH4": global_settings(scenario)["fuel_costs"]["gas"] |
||
| 801 | + global_settings(scenario)["co2_costs"] |
||
| 802 | * global_settings(scenario)["co2_emissions"]["gas"], |
||
| 803 | "OCGT": read_costs(costs, "OCGT", "VOM"), |
||
| 804 | "biogas": global_settings(scenario)["fuel_costs"]["gas"], |
||
| 805 | "chp_gas": read_costs(costs, "central gas CHP", "VOM"), |
||
| 806 | } |
||
| 807 | |||
| 808 | # Insert max gas production (generator) over the year |
||
| 809 | parameters["max_gas_generation_overtheyear"] = { |
||
| 810 | "CH4": 36000000, # [MWh] Netzentwicklungsplan Gas 2020–2030 |
||
| 811 | "biogas": 10000000, # [MWh] Netzentwicklungsplan Gas 2020–2030 |
||
| 812 | } |
||
| 813 | |||
| 814 | elif scenario == "eGon100RE": |
||
| 815 | costs = read_csv(2050) |
||
| 816 | interest_rate = 0.07 # [p.u.] |
||
| 817 | |||
| 818 | parameters = { |
||
| 819 | "main_gas_carrier": "H2", |
||
| 820 | "retrofitted_CH4pipeline-to-H2pipeline_share": 0.23, |
||
| 821 | # p-e-s result, this value is overwritten if p-e-s is run |
||
| 822 | } |
||
| 823 | # Insert effciencies in p.u. |
||
| 824 | parameters["efficiency"] = { |
||
| 825 | "power_to_H2": read_costs(costs, "electrolysis", "efficiency"), |
||
| 826 | "H2_to_power": read_costs(costs, "fuel cell", "efficiency"), |
||
| 827 | "CH4_to_H2": read_costs(costs, "SMR", "efficiency"), |
||
| 828 | "H2_to_CH4": read_costs(costs, "methanation", "efficiency"), |
||
| 829 | "OCGT": read_costs(costs, "OCGT", "efficiency"), |
||
| 830 | } |
||
| 831 | |||
| 832 | # Insert FOM in % |
||
| 833 | parameters["FOM"] = { |
||
| 834 | "H2_underground": read_costs( |
||
| 835 | costs, "hydrogen storage underground", "FOM" |
||
| 836 | ), |
||
| 837 | "H2_overground": read_costs( |
||
| 838 | costs, "hydrogen storage tank incl. compressor", "FOM" |
||
| 839 | ), |
||
| 840 | "power_to_H2": read_costs(costs, "electrolysis", "FOM"), |
||
| 841 | "H2_to_power": read_costs(costs, "fuel cell", "FOM"), |
||
| 842 | "CH4_to_H2": read_costs(costs, "SMR", "FOM"), |
||
| 843 | "H2_to_CH4": read_costs(costs, "methanation", "FOM"), |
||
| 844 | "H2_pipeline": read_costs(costs, "H2 (g) pipeline", "FOM"), |
||
| 845 | "H2_pipeline_retrofit": read_costs( |
||
| 846 | costs, "H2 (g) pipeline repurposed", "FOM" |
||
| 847 | ), |
||
| 848 | } |
||
| 849 | |||
| 850 | # Insert overnight investment costs |
||
| 851 | parameters["overnight_cost"] = { |
||
| 852 | "power_to_H2": read_costs(costs, "electrolysis", "investment"), |
||
| 853 | "H2_to_power": read_costs(costs, "fuel cell", "investment"), |
||
| 854 | "CH4_to_H2": read_costs(costs, "SMR", "investment"), |
||
| 855 | "H2_to_CH4": read_costs(costs, "methanation", "investment"), |
||
| 856 | "H2_underground": read_costs( |
||
| 857 | costs, "hydrogen storage underground", "investment" |
||
| 858 | ), |
||
| 859 | "H2_overground": read_costs( |
||
| 860 | costs, "hydrogen storage tank incl. compressor", "investment" |
||
| 861 | ), |
||
| 862 | "H2_pipeline": read_costs( |
||
| 863 | costs, "H2 (g) pipeline", "investment" |
||
| 864 | ), # [EUR/MW/km] |
||
| 865 | "H2_pipeline_retrofit": read_costs( |
||
| 866 | costs, "H2 (g) pipeline repurposed", "investment" |
||
| 867 | ), # [EUR/MW/km] |
||
| 868 | } |
||
| 869 | |||
| 870 | # Insert lifetime |
||
| 871 | parameters["lifetime"] = { |
||
| 872 | "power_to_H2": read_costs(costs, "electrolysis", "lifetime"), |
||
| 873 | "H2_to_power": read_costs(costs, "fuel cell", "lifetime"), |
||
| 874 | "CH4_to_H2": read_costs(costs, "SMR", "lifetime"), |
||
| 875 | "H2_to_CH4": read_costs(costs, "methanation", "lifetime"), |
||
| 876 | "H2_underground": read_costs( |
||
| 877 | costs, "hydrogen storage underground", "lifetime" |
||
| 878 | ), |
||
| 879 | "H2_overground": read_costs( |
||
| 880 | costs, "hydrogen storage tank incl. compressor", "lifetime" |
||
| 881 | ), |
||
| 882 | "H2_pipeline": read_costs(costs, "H2 (g) pipeline", "lifetime"), |
||
| 883 | "H2_pipeline_retrofit": read_costs( |
||
| 884 | costs, "H2 (g) pipeline repurposed", "lifetime" |
||
| 885 | ), |
||
| 886 | } |
||
| 887 | |||
| 888 | # Insert costs |
||
| 889 | parameters["capital_cost"] = {} |
||
| 890 | |||
| 891 | for comp in parameters["overnight_cost"].keys(): |
||
| 892 | parameters["capital_cost"][comp] = annualize_capital_costs( |
||
| 893 | parameters["overnight_cost"][comp], |
||
| 894 | parameters["lifetime"][comp], |
||
| 895 | interest_rate, |
||
| 896 | ) + parameters["overnight_cost"][comp] * ( |
||
| 897 | parameters["FOM"][comp] / 100 |
||
| 898 | ) |
||
| 899 | |||
| 900 | for comp in ["H2_to_power", "H2_to_CH4"]: |
||
| 901 | parameters["capital_cost"][comp] = ( |
||
| 902 | annualize_capital_costs( |
||
| 903 | parameters["overnight_cost"][comp], |
||
| 904 | parameters["lifetime"][comp], |
||
| 905 | interest_rate, |
||
| 906 | ) |
||
| 907 | + parameters["overnight_cost"][comp] |
||
| 908 | * (parameters["FOM"][comp] / 100) |
||
| 909 | ) * parameters["efficiency"][comp] |
||
| 910 | |||
| 911 | parameters["marginal_cost"] = { |
||
| 912 | "OCGT": read_costs(costs, "OCGT", "VOM"), |
||
| 913 | "biogas": read_costs(costs, "biogas", "fuel"), |
||
| 914 | "chp_gas": read_costs(costs, "central gas CHP", "VOM"), |
||
| 915 | } |
||
| 916 | |||
| 917 | elif scenario == "eGon2021": |
||
| 918 | parameters = {} |
||
| 919 | |||
| 920 | elif scenario == "status2019": |
||
| 921 | costs = read_csv(2020) |
||
| 922 | parameters = { |
||
| 923 | "main_gas_carrier": "CH4", |
||
| 924 | } |
||
| 925 | |||
| 926 | parameters["marginal_cost"] = { |
||
| 927 | "CH4": global_settings(scenario)["fuel_costs"]["gas"] |
||
| 928 | + global_settings(scenario)["co2_costs"] |
||
| 929 | * global_settings(scenario)["co2_emissions"]["gas"], |
||
| 930 | "OCGT": read_costs(costs, "OCGT", "VOM"), |
||
| 931 | "biogas": global_settings(scenario)["fuel_costs"]["gas"], |
||
| 932 | "chp_gas": read_costs(costs, "central gas CHP", "VOM"), |
||
| 933 | } |
||
| 934 | # Insert effciencies in p.u. |
||
| 935 | parameters["efficiency"] = { |
||
| 936 | "OCGT": read_costs(costs, "OCGT", "efficiency"), |
||
| 937 | } |
||
| 938 | |||
| 939 | else: |
||
| 940 | print(f"Scenario name {scenario} is not valid.") |
||
| 941 | |||
| 942 | return parameters |
||
| 943 | |||
| 944 | |||
| 945 | def mobility(scenario): |
||
| 946 | """Returns parameters of the mobility sector for the selected scenario. |
||
| 947 | |||
| 948 | Parameters |
||
| 949 | ---------- |
||
| 950 | scenario : str |
||
| 951 | Name of the scenario. |
||
| 952 | |||
| 953 | Returns |
||
| 954 | ------- |
||
| 955 | parameters : dict |
||
| 956 | List of parameters of mobility sector |
||
| 957 | |||
| 958 | Notes |
||
| 959 | ----- |
||
| 960 | For a detailed description of the parameters see module |
||
| 961 | :mod:`egon.data.datasets.emobility.motorized_individual_travel`. |
||
| 962 | """ |
||
| 963 | |||
| 964 | if scenario == "eGon2035": |
||
| 965 | parameters = { |
||
| 966 | "motorized_individual_travel": { |
||
| 967 | "NEP C 2035": { |
||
| 968 | "ev_count": 15100000, |
||
| 969 | "bev_mini_share": 0.1589, |
||
| 970 | "bev_medium_share": 0.3533, |
||
| 971 | "bev_luxury_share": 0.1053, |
||
| 972 | "phev_mini_share": 0.0984, |
||
| 973 | "phev_medium_share": 0.2189, |
||
| 974 | "phev_luxury_share": 0.0652, |
||
| 975 | "model_parameters": {}, |
||
| 976 | } |
||
| 977 | } |
||
| 978 | } |
||
| 979 | |||
| 980 | elif scenario == "eGon100RE": |
||
| 981 | # eGon100RE has 3 Scenario variations |
||
| 982 | # * allocation will always be done for all scenarios |
||
| 983 | # * model data will be written to tables `egon_etrago_*` only |
||
| 984 | # for the variation as speciefied in `datasets.yml` |
||
| 985 | parameters = { |
||
| 986 | "motorized_individual_travel": { |
||
| 987 | "Reference 2050": { |
||
| 988 | "ev_count": 25065000, |
||
| 989 | "bev_mini_share": 0.1589, |
||
| 990 | "bev_medium_share": 0.3533, |
||
| 991 | "bev_luxury_share": 0.1053, |
||
| 992 | "phev_mini_share": 0.0984, |
||
| 993 | "phev_medium_share": 0.2189, |
||
| 994 | "phev_luxury_share": 0.0652, |
||
| 995 | "model_parameters": {}, |
||
| 996 | }, |
||
| 997 | "Mobility Transition 2050": { |
||
| 998 | "ev_count": 37745000, |
||
| 999 | "bev_mini_share": 0.1589, |
||
| 1000 | "bev_medium_share": 0.3533, |
||
| 1001 | "bev_luxury_share": 0.1053, |
||
| 1002 | "phev_mini_share": 0.0984, |
||
| 1003 | "phev_medium_share": 0.2189, |
||
| 1004 | "phev_luxury_share": 0.0652, |
||
| 1005 | "model_parameters": {}, |
||
| 1006 | }, |
||
| 1007 | "Electrification 2050": { |
||
| 1008 | "ev_count": 47700000, |
||
| 1009 | "bev_mini_share": 0.1589, |
||
| 1010 | "bev_medium_share": 0.3533, |
||
| 1011 | "bev_luxury_share": 0.1053, |
||
| 1012 | "phev_mini_share": 0.0984, |
||
| 1013 | "phev_medium_share": 0.2189, |
||
| 1014 | "phev_luxury_share": 0.0652, |
||
| 1015 | "model_parameters": {}, |
||
| 1016 | }, |
||
| 1017 | } |
||
| 1018 | } |
||
| 1019 | |||
| 1020 | elif scenario == "eGon2021": |
||
| 1021 | parameters = {} |
||
| 1022 | |||
| 1023 | elif scenario == "status2019": |
||
| 1024 | parameters = { |
||
| 1025 | "motorized_individual_travel": { |
||
| 1026 | "status2019": { |
||
| 1027 | "ev_count": 200000, |
||
| 1028 | "bev_mini_share": 0.1589, |
||
| 1029 | "bev_medium_share": 0.3533, |
||
| 1030 | "bev_luxury_share": 0.1053, |
||
| 1031 | "phev_mini_share": 0.0984, |
||
| 1032 | "phev_medium_share": 0.2189, |
||
| 1033 | "phev_luxury_share": 0.0652, |
||
| 1034 | "model_parameters": {}, |
||
| 1035 | } |
||
| 1036 | } |
||
| 1037 | } |
||
| 1038 | |||
| 1039 | elif scenario == "status2023": |
||
| 1040 | parameters = { |
||
| 1041 | "motorized_individual_travel": { |
||
| 1042 | "status2023": { |
||
| 1043 | "ev_count": 2577664, |
||
| 1044 | "bev_mini_share": 0.1535, |
||
| 1045 | "bev_medium_share": 0.3412, |
||
| 1046 | "bev_luxury_share": 0.1017, |
||
| 1047 | "phev_mini_share": 0.1038, |
||
| 1048 | "phev_medium_share": 0.2310, |
||
| 1049 | "phev_luxury_share": 0.0688, |
||
| 1050 | "model_parameters": {}, |
||
| 1051 | } |
||
| 1052 | } |
||
| 1053 | } |
||
| 1054 | |||
| 1055 | else: |
||
| 1056 | print(f"Scenario name {scenario} is not valid.") |
||
| 1057 | parameters = dict() |
||
| 1058 | |||
| 1059 | return parameters |
||
| 1060 | |||
| 1061 | |||
| 1062 | def heat(scenario): |
||
| 1063 | """Returns paramaters of the heat sector for the selected scenario. |
||
| 1064 | |||
| 1065 | Parameters |
||
| 1066 | ---------- |
||
| 1067 | scenario : str |
||
| 1068 | Name of the scenario. |
||
| 1069 | |||
| 1070 | Returns |
||
| 1071 | ------- |
||
| 1072 | parameters : dict |
||
| 1073 | List of parameters of heat sector |
||
| 1074 | |||
| 1075 | """ |
||
| 1076 | |||
| 1077 | if scenario == "eGon2035": |
||
| 1078 | costs = read_csv(2035) |
||
| 1079 | |||
| 1080 | parameters = { |
||
| 1081 | "DE_demand_reduction_residential": 0.854314018923104, |
||
| 1082 | "DE_demand_reduction_service": 0.498286864771128, |
||
| 1083 | "DE_district_heating_share": 0.14, |
||
| 1084 | } |
||
| 1085 | |||
| 1086 | # Insert efficiency in p.u. |
||
| 1087 | parameters["efficiency"] = { |
||
| 1088 | "water_tank_charger": read_costs( |
||
| 1089 | costs, "water tank charger", "efficiency" |
||
| 1090 | ), |
||
| 1091 | "water_tank_discharger": read_costs( |
||
| 1092 | costs, "water tank discharger", "efficiency" |
||
| 1093 | ), |
||
| 1094 | "central_resistive_heater": read_costs( |
||
| 1095 | costs, "central resistive heater", "efficiency" |
||
| 1096 | ), |
||
| 1097 | "central_gas_boiler": read_costs( |
||
| 1098 | costs, "central gas boiler", "efficiency" |
||
| 1099 | ), |
||
| 1100 | "rural_resistive_heater": read_costs( |
||
| 1101 | costs, "decentral resistive heater", "efficiency" |
||
| 1102 | ), |
||
| 1103 | "rural_gas_boiler": read_costs( |
||
| 1104 | costs, "decentral gas boiler", "efficiency" |
||
| 1105 | ), |
||
| 1106 | } |
||
| 1107 | |||
| 1108 | # Insert overnight investment costs, in EUR/MWh |
||
| 1109 | parameters["overnight_cost"] = { |
||
| 1110 | "central_water_tank": read_costs( |
||
| 1111 | costs, "central water tank storage", "investment" |
||
| 1112 | ), |
||
| 1113 | "rural_water_tank": read_costs( |
||
| 1114 | costs, "decentral water tank storage", "investment" |
||
| 1115 | ), |
||
| 1116 | } |
||
| 1117 | |||
| 1118 | # Insert lifetime |
||
| 1119 | parameters["lifetime"] = { |
||
| 1120 | "central_water_tank": read_costs( |
||
| 1121 | costs, "central water tank storage", "lifetime" |
||
| 1122 | ), |
||
| 1123 | "rural_water_tank": read_costs( |
||
| 1124 | costs, "decentral water tank storage", "lifetime" |
||
| 1125 | ), |
||
| 1126 | } |
||
| 1127 | |||
| 1128 | # Insert annualized capital costs |
||
| 1129 | parameters["capital_cost"] = {} |
||
| 1130 | |||
| 1131 | for comp in parameters["overnight_cost"].keys(): |
||
| 1132 | parameters["capital_cost"][comp] = annualize_capital_costs( |
||
| 1133 | parameters["overnight_cost"][comp], |
||
| 1134 | parameters["lifetime"][comp], |
||
| 1135 | global_settings("eGon2035")["interest_rate"], |
||
| 1136 | ) |
||
| 1137 | |||
| 1138 | # Insert marginal_costs in EUR/MWh |
||
| 1139 | # marginal cost can include fuel, C02 and operation and maintenance costs |
||
| 1140 | parameters["marginal_cost"] = { |
||
| 1141 | "central_heat_pump": read_costs( |
||
| 1142 | costs, "central air-sourced heat pump", "VOM" |
||
| 1143 | ), |
||
| 1144 | "central_gas_chp": read_costs(costs, "central gas CHP", "VOM"), |
||
| 1145 | "central_gas_boiler": read_costs( |
||
| 1146 | costs, "central gas boiler", "VOM" |
||
| 1147 | ), |
||
| 1148 | "central_resistive_heater": read_costs( |
||
| 1149 | costs, "central resistive heater", "VOM" |
||
| 1150 | ), |
||
| 1151 | "geo_thermal": 2.9, # Danish Energy Agency |
||
| 1152 | "water_tank_charger": 0, # Danish Energy Agency |
||
| 1153 | "water_tank_discharger": 0, # Danish Energy Agency |
||
| 1154 | "rural_heat_pump": 0, # Danish Energy Agency, Technology Data for Individual Heating Plants |
||
| 1155 | } |
||
| 1156 | |||
| 1157 | elif scenario == "eGon100RE": |
||
| 1158 | costs = read_csv(2050) |
||
| 1159 | |||
| 1160 | parameters = { |
||
| 1161 | "DE_demand_reduction_residential": 0.640720648501849, |
||
| 1162 | "DE_demand_reduction_service": 0.390895195300713, |
||
| 1163 | "DE_district_heating_share": 0.19, |
||
| 1164 | } |
||
| 1165 | |||
| 1166 | parameters["marginal_cost"] = { |
||
| 1167 | "central_heat_pump": read_costs( |
||
| 1168 | costs, "central air-sourced heat pump", "VOM" |
||
| 1169 | ), |
||
| 1170 | "central_gas_chp": read_costs(costs, "central gas CHP", "VOM"), |
||
| 1171 | "central_gas_boiler": read_costs( |
||
| 1172 | costs, "central gas boiler", "VOM" |
||
| 1173 | ), |
||
| 1174 | "central_resistive_heater": read_costs( |
||
| 1175 | costs, "central resistive heater", "VOM" |
||
| 1176 | ), |
||
| 1177 | "geo_thermal": 2.9, # Danish Energy Agency |
||
| 1178 | "water_tank_charger": 0, # Danish Energy Agency |
||
| 1179 | "water_tank_discharger": 0, # Danish Energy Agency |
||
| 1180 | "rural_heat_pump": 0, # Danish Energy Agency, Technology Data for Individual Heating Plants |
||
| 1181 | } |
||
| 1182 | |||
| 1183 | # Insert efficiency in p.u. |
||
| 1184 | parameters["efficiency"] = { |
||
| 1185 | "water_tank_charger": read_costs( |
||
| 1186 | costs, "water tank charger", "efficiency" |
||
| 1187 | ), |
||
| 1188 | "water_tank_discharger": read_costs( |
||
| 1189 | costs, "water tank discharger", "efficiency" |
||
| 1190 | ), |
||
| 1191 | "central_resistive_heater": read_costs( |
||
| 1192 | costs, "central resistive heater", "efficiency" |
||
| 1193 | ), |
||
| 1194 | "central_gas_boiler": read_costs( |
||
| 1195 | costs, "central gas boiler", "efficiency" |
||
| 1196 | ), |
||
| 1197 | "rural_resistive_heater": read_costs( |
||
| 1198 | costs, "decentral resistive heater", "efficiency" |
||
| 1199 | ), |
||
| 1200 | "rural_gas_boiler": read_costs( |
||
| 1201 | costs, "decentral gas boiler", "efficiency" |
||
| 1202 | ), |
||
| 1203 | } |
||
| 1204 | |||
| 1205 | # Insert overnight investment costs, in EUR/MWh |
||
| 1206 | parameters["overnight_cost"] = { |
||
| 1207 | "central_water_tank": read_costs( |
||
| 1208 | costs, "central water tank storage", "investment" |
||
| 1209 | ), |
||
| 1210 | "rural_water_tank": read_costs( |
||
| 1211 | costs, "decentral water tank storage", "investment" |
||
| 1212 | ), |
||
| 1213 | } |
||
| 1214 | |||
| 1215 | # Insert lifetime |
||
| 1216 | parameters["lifetime"] = { |
||
| 1217 | "central_water_tank": read_costs( |
||
| 1218 | costs, "central water tank storage", "lifetime" |
||
| 1219 | ), |
||
| 1220 | "rural_water_tank": read_costs( |
||
| 1221 | costs, "decentral water tank storage", "lifetime" |
||
| 1222 | ), |
||
| 1223 | } |
||
| 1224 | |||
| 1225 | # Insert annualized capital costs |
||
| 1226 | parameters["capital_cost"] = {} |
||
| 1227 | |||
| 1228 | for comp in parameters["overnight_cost"].keys(): |
||
| 1229 | parameters["capital_cost"][comp] = annualize_capital_costs( |
||
| 1230 | parameters["overnight_cost"][comp], |
||
| 1231 | parameters["lifetime"][comp], |
||
| 1232 | global_settings("eGon100RE")["interest_rate"], |
||
| 1233 | ) |
||
| 1234 | |||
| 1235 | elif scenario == "eGon2021": |
||
| 1236 | parameters = {} |
||
| 1237 | |||
| 1238 | elif scenario == "status2019": |
||
| 1239 | parameters = { |
||
| 1240 | "DE_demand_residential_TJ": 1658400 |
||
| 1241 | + 383300, # [TJ], space heating + hot water, source: AG Energiebilanzen 2019 (https://ag-energiebilanzen.de/wp-content/uploads/2020/10/ageb_20v_v1.pdf) |
||
| 1242 | "DE_demand_service_TJ": 567300 |
||
| 1243 | + 71500, # [TJ], space heating + hot water, source: AG Energiebilanzen 2019 (https://ag-energiebilanzen.de/wp-content/uploads/2020/10/ageb_20v_v1.pdf) |
||
| 1244 | "DE_district_heating_share": (189760 + 38248) |
||
| 1245 | / ( |
||
| 1246 | 1658400 + 383300 + 567300 + 71500 |
||
| 1247 | ), # [TJ], source: AG Energiebilanzen 2019 (https://ag-energiebilanzen.de/wp-content/uploads/2021/11/bilanz19d.xlsx) |
||
| 1248 | } |
||
| 1249 | |||
| 1250 | costs = read_csv(2020) |
||
| 1251 | |||
| 1252 | # Insert marginal_costs in EUR/MWh |
||
| 1253 | # marginal cost can include fuel, C02 and operation and maintenance costs |
||
| 1254 | parameters["marginal_cost"] = { |
||
| 1255 | "central_heat_pump": read_costs( |
||
| 1256 | costs, "central air-sourced heat pump", "VOM" |
||
| 1257 | ), |
||
| 1258 | "central_gas_chp": read_costs(costs, "central gas CHP", "VOM"), |
||
| 1259 | "central_gas_boiler": read_costs( |
||
| 1260 | costs, "central gas boiler", "VOM" |
||
| 1261 | ), |
||
| 1262 | "central_resistive_heater": read_costs( |
||
| 1263 | costs, "central resistive heater", "VOM" |
||
| 1264 | ), |
||
| 1265 | "rural_heat_pump": 0, # Danish Energy Agency, Technology Data for Individual Heating Plants |
||
| 1266 | } |
||
| 1267 | |||
| 1268 | # Insert efficiency in p.u. |
||
| 1269 | parameters["efficiency"] = { |
||
| 1270 | "central_gas_boiler": read_costs( |
||
| 1271 | costs, "central gas boiler", "efficiency" |
||
| 1272 | ), |
||
| 1273 | } |
||
| 1274 | |||
| 1275 | # elif scenario == "status2023": |
||
| 1276 | # parameters = { |
||
| 1277 | # # source: AG Energiebilanzen 2022 https://ag-energiebilanzen.de/wp-content/uploads/2023/01/AGEB_22p2_rev-1.pdf |
||
| 1278 | # "DE_demand_residential_TJ": 1754.2 * 1e3 |
||
| 1279 | # + 407.5 * 1e3, # [TJ], Endenergieverbrauch Haushalte 2.1 Raumwärme + Warmwasser |
||
| 1280 | # "DE_demand_service_TJ": 668.4 * 1e3 |
||
| 1281 | # + 44.3 * 1e3 , # [TJ], Endenergieverbrauch GHD 3.1 Raumwärme + Warmwasser |
||
| 1282 | # "DE_district_heating_share": (189760 + 38248) |
||
| 1283 | # / ( |
||
| 1284 | # 1658400 + 383300 + 567300 + 71500 |
||
| 1285 | # ), # [TJ], source: AG Energiebilanzen 2019 (https://ag-energiebilanzen.de/wp-content/uploads/2021/11/bilanz19d.xlsx) |
||
| 1286 | # } # TODO status2023 needs update |
||
| 1287 | # |
||
| 1288 | # costs = read_csv(2020) |
||
| 1289 | # |
||
| 1290 | # # Insert marginal_costs in EUR/MWh |
||
| 1291 | # # marginal cost can include fuel, C02 and operation and maintenance costs |
||
| 1292 | # parameters["marginal_cost"] = { |
||
| 1293 | # "central_heat_pump": read_costs( |
||
| 1294 | # costs, "central air-sourced heat pump", "VOM" |
||
| 1295 | # ), |
||
| 1296 | # "central_gas_chp": read_costs(costs, "central gas CHP", "VOM"), |
||
| 1297 | # "central_gas_boiler": read_costs( |
||
| 1298 | # costs, "central gas boiler", "VOM" |
||
| 1299 | # ), |
||
| 1300 | # "central_resistive_heater": read_costs( |
||
| 1301 | # costs, "central resistive heater", "VOM" |
||
| 1302 | # ), |
||
| 1303 | # "rural_heat_pump": 0, # Danish Energy Agency, Technology Data for Individual Heating Plants |
||
| 1304 | # } |
||
| 1305 | # |
||
| 1306 | # # Insert efficiency in p.u. |
||
| 1307 | # parameters["efficiency"] = { |
||
| 1308 | # "central_gas_boiler": read_costs( |
||
| 1309 | # costs, "central gas boiler", "efficiency" |
||
| 1310 | # ), |
||
| 1311 | # } |
||
| 1312 | |||
| 1313 | else: |
||
| 1314 | print(f"Scenario name {scenario} is not valid.") |
||
| 1315 | |||
| 1316 | return parameters |
||
| 1317 |
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