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import pandas as pd |
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def energy_prices() -> pd.DataFrame: |
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print("Data is taken from at doi: https://doi.org/10.52202/077185-0033") |
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years = [2025, 2030, 2035, 2040, 2045] |
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return pd.DataFrame( |
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{ |
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"gas_prices [Eur/Wh]": [ |
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0.116 / 1000, |
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0.106 / 1000, |
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0.133 / 1000, |
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0.116 / 1000, |
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0.118 / 1000, |
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], |
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"electricity_prices [Eur/Wh]": [ |
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0.386 / 1000, |
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0.303 / 1000, |
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0.290 / 1000, |
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0.294 / 1000, |
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0.286 / 1000, |
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], |
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"pv_feed_in [Eur/Wh]": [-0.081 / 1000] * 5, |
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}, |
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index=pd.Index(years, name="year"), |
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) |
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def investment_costs() -> pd.DataFrame: |
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print("Data is taken from doi: https://doi.org/10.52202/077185-0033") |
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years = [2025, 2030, 2035, 2040, 2045] |
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idx = pd.Index(years, name="year") |
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df = pd.DataFrame( |
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{ |
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("gas boiler", "specific_costs [Eur/W]"): [61 / 1000] * 5, |
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("gas boiler", "fixed_costs [Eur]"): [4794] * 5, |
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("heat pump", "specific_costs [Eur/W]"): [ |
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1680 / 1000, |
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1318 / 1000, |
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1182 / 1000, |
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1101 / 1000, |
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1048 / 1000, |
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], |
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("heat pump", "fixed_costs [Eur]"): [3860, 3030, 2716, 2530, 2410], |
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("heat storage", "specific_costs [Eur/m3]"): [1120] * 5, |
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("heat storage", "fixed_costs [Eur]"): [806] * 5, |
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("pv", "specific_costs [Eur/W]"): [ |
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1200 / 1000, |
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1017 / 1000, |
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927 / 1000, |
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864 / 1000, |
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828 / 1000, |
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], |
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("pv", "fixed_costs [Eur]"): [3038, 2575, 2347, 2188, 2096], |
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("battery", "specific_costs [Eur/Wh]"): [ |
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850 / 1000, |
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544 / 1000, |
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453 / 1000, |
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420 / 1000, |
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409 / 1000, |
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], |
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("battery", "fixed_costs [Eur]"): [0] * 5, |
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}, |
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index=idx, |
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) |
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return df |
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oemof /
oemof-solph
