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import pandas as pd |
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3
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4
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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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8
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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/kWh]": [ |
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0.116, |
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0.106, |
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0.133, |
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0.116, |
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0.118, |
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], |
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"electricity_prices [Eur/kWh]": [ |
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0.386, |
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0.303, |
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0.290, |
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0.294, |
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0.286, |
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], |
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"pv_feed_in [Eur/kWh]": [-0.081] * 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/kW]"): [61] * 5, |
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("gas boiler", "fixed_costs [Eur]"): [4794] * 5, |
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("heat pump", "specific_costs [Eur/kW]"): [ |
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1680, |
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1318, |
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1182, |
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1101, |
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1048, |
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], |
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48
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("heat pump", "fixed_costs [Eur]"): [3860, 3030, 2716, 2530, 2410], |
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49
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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/kW]"): [ |
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1200, |
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1017, |
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927, |
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864, |
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828, |
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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/kWh]"): [ |
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850, |
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544, |
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453, |
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420, |
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64
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409, |
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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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69
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) |
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71
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return df |
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oemof /
oemof-solph
