split bioenergy into biogas and solid biomass

doc/basics.rst

@@ -6,7 +6,7 @@ The dataset combines the data of all the data sources listed in
 `Data-Sources <#Data-Sources>`__ and provides the following information:
 
 -  **Power plant name** - claim of each database
--  **Fueltype** - {Bioenergy, Geothermal, Hard Coal, Hydro, Lignite,
+-  **Fueltype** - {Solid Biomass, Biogas, Geothermal, Hard Coal, Hydro, Lignite,
    Nuclear, Natural Gas, Oil, Solar, Wind, Other}
 -  **Technology** - {CCGT, OCGT, Steam Turbine, Combustion Engine,
    Run-Of-River, Pumped Storage, Reservoir}

doc/release-notes.rst

@@ -4,6 +4,8 @@ Release Notes
 Upcoming Version
 ----------------
 
+* BREAKING: Split "Bioenergy" into "Biogas" and "Solid Biomass".
+
 Version 0.5.18 (30.08.2024)
 ---------------------------
 

powerplantmatching/data.py

@@ -360,9 +360,9 @@ def CARMA(raw=False, update=False, config=None):
                     "GEO": "Geothermal",
                     "WSTH": "Waste",
                     "SUN": "Solar",
-                    "BLIQ": "Bioenergy",
-                    "BGAS": "Bioenergy",
-                    "BSOL": "Bioenergy",
+                    "BLIQ": "Solid Biomass",
+                    "BGAS": "Biogas",
+                    "BSOL": "Solid Biomass",
                     "OTH": "Other",
                 }
             )
@@ -950,11 +950,11 @@ def WEPP(raw=False, config=None):
     )
     # Replace fueltypes
     d = {
-        "AGAS": "Bioenergy",  # Syngas from gasified agricultural waste
+        "AGAS": "Solid Biomass",  # Syngas from gasified agricultural waste
         "BFG": "Other",  # blast furnance gas -> "Hochofengas"
-        "BGAS": "Bioenergy",
-        "BIOMASS": "Bioenergy",
-        "BL": "Bioenergy",
+        "BGAS": "Biogas",
+        "BIOMASS": "Solid Biomass",
+        "BL": "Solid Biomass",
         "CGAS": "Hard Coal",
         "COAL": "Hard Coal",
         "COG": "Other",  # coke oven gas -> deutsch: "Hochofengas"
@@ -971,13 +971,13 @@ def WEPP(raw=False, config=None):
         "JET": "Oil",  # Jet fuels
         "KERO": "Oil",  # Kerosene
         "LGAS": "Other",  # landfill gas -> deutsch: "Deponiegas"
-        "LIGNIN": "Bioenergy",
+        "LIGNIN": "Solid Biomass",
         "LIQ": "Other",  # (black) liqour -> deutsch: "Schwarzlauge",
         #    die bei Papierherstellung anfaellt
         "LNG": "Natural Gas",  # Liquified natural gas
         "LPG": "Natural Gas",  # Liquified petroleum gas (u. butane/propane)
-        "MBM": "Bioenergy",  # Meat and bonemeal
-        "MEDWST": "Bioenergy",  # Medical waste
+        "MBM": "Solid Biomass",  # Meat and bonemeal
+        "MEDWST": "Solid Biomass",  # Medical waste
         "MGAS": "Other",  # mine gas -> deutsch: "Grubengas"
         "NAP": "Oil",  # naphta
         "OGAS": "Oil",  # Gasified crude oil/refinery bottoms/bitumen
@@ -994,8 +994,8 @@ def WEPP(raw=False, config=None):
         "UNK": "Other",
         "UR": "Nuclear",
         "WAT": "Hydro",
-        "WOOD": "Bioenergy",
-        "WOODGAS": "Bioenergy",
+        "WOOD": "Solid Biomass",
+        "WOODGAS": "Solid Biomass",
         "WSTGAS": "Other",  # waste gas -> deutsch: "Industrieabgas"
         "WSTWSL": "Waste",  # Wastewater sludge
         "WSTH": "Waste",
@@ -1212,7 +1212,7 @@ def UBA(
     uba.loc[uba.Fueltype.str.contains("HEL"), "Fueltype"] = "Oil"
     uba.Fueltype = uba.Fueltype.replace(
         {
-            "Biomasse": "Bioenergy",
+            "Biomasse": "Solid Biomass",
             "Gichtgas": "Other",
             "HS": "Oil",
             "Konvertergas": "Other",
@@ -1372,7 +1372,7 @@ def BNETZA(
             ".*(?i)energietr.*ger.*\n.*": "Other",
             "Kern.*": "Nuclear",
             "Mineral.l.*": "Oil",
-            "Biom.*": "Bioenergy",
+            "Biom.*": "Solid Biomass",
             ".*(?i)(e|r|n)gas": "Other",
             "Geoth.*": "Geothermal",
             "Abfall": "Waste",
@@ -1548,10 +1548,10 @@ def IRENASTAT(raw=False, update=False, config=None):
         "Renewable hydropower": "Hydro",
         "Mixed Hydro Plants": "Hydro",
         "Pumped storage": "Hydro",
-        "Solid biofuels": "Bioenergy",
+        "Solid biofuels": "Solid Biomass",
         "Renewable municipal waste": "Waste",
-        "Liquid biofuels": "Bioenergy",
-        "Biogas": "Bioenergy",
+        "Liquid biofuels": "Solid Biomass",
+        "Biogas": "Biogas",
         "Geothermal energy": "Geothermal",
         "Marine energy": "Marine",
         "Coal and peat": "Hard Coal",
@@ -1606,13 +1606,30 @@ def GBPT(raw=False, update=False, config=None):
     RENAME_COLUMNS = {
         "Project name": "Name",
         "Capacity (MW)": "Capacity",
+        "Fuel 1": "Fueltype",
         "Operating status": "Status",
         "Latitude": "lat",
         "Longitude": "lon",
         "Unit start year": "DateIn",
         "Retired year": "DateOut",
         "GEM phase ID": "projectID",
     }
+    fueltype_dict = {
+        'bioenergy - agricultural waste (solids)': 'Solid Biomass',
+        'bioenergy - refuse (municipal and industrial wastes)': 'Solid Biomass',
+        'bioenergy - refuse (syngas)': 'Solid Biomass',
+        'bioenergy - agricultural waste (biogas)': 'Biogas',
+        'bioenergy - wood & other biomass (solids)': 'Solid Biomass',
+        'bioenergy - ethanol': 'Solid Biomass',
+        'bioenergy - paper mill wastes': 'Solid Biomass',
+        'bioenergy - biodiesel': 'Solid Biomass',
+        'bioenergy - unknown': 'Solid Biomass',
+        'bioenergy - wastewater and sewage sludge (solids or biogas)': 'Solid Biomass',
+        'bioenergy - refuse (landfill gas)': 'Biogas',
+        'bioenergy - agricultural waste (unknown)': 'Solid Biomass',
+        'bioenergy - agricultural waste (syngas)': 'Solid Biomass',
+        'bioenergy - wood & other biomass (biocoal)': 'Solid Biomass',
+    }
 
     status_list = config["GBPT"].get("status", ["operating"])  # noqa: F841
 
@@ -1630,7 +1647,7 @@ def GBPT(raw=False, update=False, config=None):
         )
         .query("Status in @status_list")
         .pipe(lambda x: x[df.columns.intersection(config.get("target_columns"))])
-        .assign(Fueltype="Bioenergy")
+        .pipe(lambda x: x.replace({"Fueltype": fueltype_dict}))
         .assign(Technology="Steam Turbine")
         .assign(Set="PP")
         .pipe(config_filter, config)

powerplantmatching/export.py

@@ -337,7 +337,8 @@ def fueltype_to_abbrev():
     Return the fueltype-specific abbreviation.
     """
     data = {
-        "Bioenergy": "BIO",
+        "Solid Biomass": "BIO",
+        "Biogas": "BIG",
         "Geothermal": "GEO",
         "Hard Coal": "COA",
         "Hydro": "HYD",

powerplantmatching/heuristics.py

@@ -311,7 +311,7 @@ def wm(x):
         )
 
     if target_fueltypes is None:
-        target_fueltypes = ["Wind", "Solar", "Bioenergy"]
+        target_fueltypes = ["Wind", "Solar", "Biogas", "Solid Biomass"]
     df = df[df.Fueltype.isin(target_fueltypes)]
     df = fill_missing_commissioning_years(df)
     df["Technology"] = df.Technology.fillna("-")
@@ -432,7 +432,8 @@ def reduceVintages(addition, mat, life, y_pres):
                 columns=range(y_start - life + 1, y_end + life),
                 index=range(y_start - life + 1, y_end),
             ).astype(float)
-            if dfs.Fueltype.iloc[0] in ["Solar", "Wind", "Bioenergy", "Geothermal"]:
+            fuels = ["Solar", "Wind", "Biogas", "Solid Biomass", "Geothermal"]
+            if dfs.Fueltype.iloc[0] in fuels:
                 mat = setInitial_Triangle(mat, dfs, life)
             else:
                 mat = setInitial_Flat(mat, dfs, life)
@@ -540,12 +541,12 @@ def gross_to_net_factors(reference="opsd", aggfunc="median", return_entire_data=
         df.replace(
             dict(
                 energy_source_level_2={
-                    "Biomass and biogas": "Bioenergy",
+                    "Biomass and biogas": "Biogas",
                     "Fossil fuels": "Other",
                     "Mixed fossil fuels": "Other",
                     "Natural gas": "Natural Gas",
                     "Non-renewable waste": "Waste",
-                    "Other bioenergy and renewable waste": "Bioenergy",
+                    "Other bioenergy and renewable waste": "Solid Biomass",
                     "Other or unspecified energy sources": "Other",
                     "Other fossil fuels": "Other",
                     "Other fuels": "Other",

powerplantmatching/package_data/config.yaml

@@ -269,7 +269,8 @@ target_fueltypes:
   # given by the list. An empty string results in a regex expression containing only the key.
   # Parsed of representatives at the top may be overwritten by representatives further below.
   Other: ".*"
-  Bioenergy: [biological, biogas, bioenergy, agricultural, wood, biomass]
+  Solid Biomass: [biological, bioenergy, agricultural, wood, biomass]
+  Biogas: [biogas]
   Nuclear: [nuclear]
   Natural Gas:
     [
@@ -397,7 +398,8 @@ clean_name:
 #                               Heuristic Config                               #
 # ---------------------------------------------------------------------------- #
 fuel_to_lifetime:
-  Bioenergy: 20
+  Solid Biomass: 20
+  Biogas: 20
   Geothermal: 15
   Hard Coal: 45
   Hydro: 100
@@ -427,7 +429,8 @@ fuel_to_color:
   Offshore: cornflowerblue
   Onshore: darkblue
   Wind: steelblue
-  Bioenergy: forestgreen
+  Biogas: green
+  Solid Biomass: forestgreen
   Natural Gas: red
   CCGT: red
   Coal: black

powerplantmatching/utils.py

@@ -187,14 +187,15 @@ def set_uncommon_fueltypes_to_other(df, fillna_other=True, config=None, **kwargs
         Whether to replace NaN values in 'Fueltype' with 'Other'
     fueltypes : list
         list of replaced fueltypes, defaults to
-        ['Bioenergy', 'Geothermal', 'Mixed fuel types', 'Electro-mechanical',
+        ['Solid Biomass', 'Biogas', 'Geothermal', 'Mixed fuel types', 'Electro-mechanical',
         'Hydrogen Storage']
     """
     config = get_config() if config is None else config
     df = get_obj_if_Acc(df)
 
     default = [
-        "Bioenergy",
+        "Solid Biomass",
+        "Biogas",
         "Geothermal",
         "Mixed fuel types",
         "Electro-mechanical",