change inflation rate source

Author: lisazeyen

Snakefile

@@ -4,7 +4,7 @@ configfile: "config.yaml"
 
 rule compile_cost_assumptions:
     input:
-        inflation_rate = "inputs/prc_hicp_aind_page_spreadsheet.xlsx",
+        inflation_rate = "inputs/prc_hicp_aind__custom_9928419_spreadsheet.xlsx",
         pypsa_costs = "inputs/costs_PyPSA.csv",
         fraunhofer_costs = "inputs/Fraunhofer_ISE_costs.csv",
         fraunhofer_energy_prices = "inputs/Fraunhofer_ISE_energy_prices.csv",

docs/release_notes.rst

@@ -5,7 +5,7 @@ Release Notes
 .. Upcoming Release
 .. ================
 
-* Update currency year from 2015 to 2020. Add a currency year for each data input
+* Update currency year from 2015 to 2020. Add a currency year for each data input. The inflation rate is taken `Eurostat HICP - annual data (average index and rate of change) <https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/dataflow/ESTAT/prc_hicp_aind/1.0?references=descendants&detail=referencepartial&format=sdmx_2.1_generic&compressed=true>`_. 
 
 Technology-Data 0.7.0 (7 February 2024)
 =======================================

inputs/prc_hicp_aind__custom_9928419_spreadsheet.xlsx

@@ -2119,19 +2119,18 @@ def geometric_series(nominator, denominator=1, number_of_terms=1, start=1):
 
 def prepare_inflation_rate(fn):
     """read in annual inflation rate from Eurostat
-    https://ec.europa.eu/eurostat/databrowser/view/teicp000/default/table?lang=en 
+    https://ec.europa.eu/eurostat/api/dissemination/sdmx/2.1/dataflow/ESTAT/prc_hicp_aind/1.0?references=descendants&detail=referencepartial&format=sdmx_2.1_generic&compressed=true
     """
     inflation_rate = pd.read_excel(fn,
-                                   sheet_name="Blatt 1", index_col=0,
-                                   header=[8]).dropna(axis=0)
+                                   sheet_name="Sheet 1", index_col=0,
+                                   header=[8])
+    inflation_rate = (inflation_rate.loc["European Union - 27 countries (from 2020)"]
+                      .dropna()).loc["2001"::]
     inflation_rate.rename(index=lambda x: int(x), inplace=True)
     inflation_rate = inflation_rate.astype(float)
 
-    inflation_rate = inflation_rate.iloc[:,0]/100
-    
-    # add inflation for 2023
-    inflation_rate.loc[2023] = 0.064
-    
+    inflation_rate /= 100
+        
     return inflation_rate
 
 # %% *************************************************************************