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build_monthly_prices: use 2020 as base year for scaling

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Fabian 2023-07-17 17:35:23 +02:00
parent fcce233a2e
commit 23b156d2c1
1 changed files with 5 additions and 2 deletions
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7
scripts/build_monthly_prices.py
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@ -73,7 +73,9 @@ sheet_name_map = {
# import fuel price 2015 in Eur/MWh # import fuel price 2015 in Eur/MWh
# source for coal, oil, gas, Agora, slide 24 [2] # source for coal, oil, gas, Agora, slide 24 [2]
# source lignite, price for 2020, scaled by price index, ENTSO-E [3] # source lignite, price for 2020, scaled by price index, ENTSO-E [3]
price_2015 = {"coal": 8.3, "oil": 30.6, "gas": 20.6, "lignite": 3.8} # 2020 3.96/1.04 price_2020 = (
pd.Series({"coal": 3.0, "oil": 10.6, "gas": 5.6, "lignite": 1.1}) * 3.6
) # Eur/MWh
def get_fuel_price(): def get_fuel_price():
@ -91,7 +93,8 @@ def get_fuel_price():
start, end = df.index[0], str(int(df.index[-1][:4]) + 1) start, end = df.index[0], str(int(df.index[-1][:4]) + 1)
df = df.stack() df = df.stack()
df.index = pd.date_range(start=start, end=end, freq="MS", inclusive="left") df.index = pd.date_range(start=start, end=end, freq="MS", inclusive="left")
df = df.mul(price_2015[carrier] / 100) scale = price_2020[carrier] / df["2020"].mean() # scale to 2020 price
df = df.mul(scale)
price[carrier] = df price[carrier] = df
return pd.concat(price, axis=1) return pd.concat(price, axis=1)