remove wave energy generator

config/config.default.yaml

@@ -814,7 +814,6 @@ plotting:
     hydroelectricity: '#298c81'
     PHS: '#51dbcc'
     hydro+PHS: "#08ad97"
-    wave: '#a7d4cf'
     # solar
     solar: "#f9d002"
     solar PV: "#f9d002"

doc/configtables/licenses-sector.csv

@@ -9,7 +9,6 @@ Swiss energy statistics from Swiss Federal Office of Energy,switzerland-sfoe/,un
 BASt emobility statistics,emobility/,unknown,http://www.bast.de/DE/Verkehrstechnik/Fachthemen/v2-verkehrszaehlung/Stundenwerte.html?nn=626916
 BDEW heating profile,heat_load_profile_BDEW.csv,unknown,https://github.com/oemof/demandlib
 heating profiles for Aarhus,heat_load_profile_DK_AdamJensen.csv,unknown,Adam Jensen MA thesis at Aarhus University
-George Lavidas wind/wave costs,WindWaveWEC_GLTB.xlsx,unknown,George Lavidas
 co2 budgets,co2_budget.csv,CC BY 4.0,https://arxiv.org/abs/2004.11009
 existing heating potentials,existing_infrastructure/existing_heating_raw.csv,unknown,https://ec.europa.eu/energy/studies/mapping-and-analyses-current-and-future-2020-2030-heatingcooling-fuel-deployment_en?redir=1
 IRENA existing VRE capacities,existing_infrastructure/{solar|onwind|offwind}_capcity_IRENA.csv,unknown,https://www.irena.org/Statistics/Download-Data

doc/release_notes.rst

@@ -12,6 +12,9 @@ Upcoming Release
 
 * New configuration option ``everywhere_powerplants`` to build conventional powerplants everywhere, irrespective of existing powerplants locations, in the network (https://github.com/PyPSA/pypsa-eur/pull/850).
 
+* Remove option for wave energy as technology data is not maintained. 
+
+
 PyPSA-Eur 0.9.0 (5th January 2024)
 ==================================
 

scripts/prepare_sector_network.py

@@ -913,47 +913,6 @@ def add_ammonia(n, costs):
     )
 
 
-def add_wave(n, wave_cost_factor):
-    # TODO: handle in Snakefile
-    wave_fn = "data/WindWaveWEC_GLTB.xlsx"
-
-    # in kW
-    capacity = pd.Series({"Attenuator": 750, "F2HB": 1000, "MultiPA": 600})
-
-    # in EUR/MW
-    annuity_factor = calculate_annuity(25, 0.07) + 0.03
-    costs = (
-        1e6
-        * wave_cost_factor
-        * annuity_factor
-        * pd.Series({"Attenuator": 2.5, "F2HB": 2, "MultiPA": 1.5})
-    )
-
-    sheets = pd.read_excel(
-        wave_fn,
-        sheet_name=["FirthForth", "Hebrides"],
-        usecols=["Attenuator", "F2HB", "MultiPA"],
-        index_col=0,
-        skiprows=[0],
-        parse_dates=True,
-    )
-
-    wave = pd.concat(
-        [sheets[l].divide(capacity, axis=1) for l in locations], keys=locations, axis=1
-    )
-
-    for wave_type in costs.index:
-        n.add(
-            "Generator",
-            "Hebrides " + wave_type,
-            bus="GB4 0",  # TODO this location is hardcoded
-            p_nom_extendable=True,
-            carrier="wave",
-            capital_cost=costs[wave_type],
-            p_max_pu=wave["Hebrides", wave_type],
-        )
-
-
 def insert_electricity_distribution_grid(n, costs):
     # TODO pop_layout?
     # TODO options?
@@ -3698,12 +3657,6 @@ if __name__ == "__main__":
 
     # TODO merge with opts cost adjustment below
     for o in opts:
-        if o[:4] == "wave":
-            wave_cost_factor = float(o[4:].replace("p", ".").replace("m", "-"))
-            logger.info(
-                f"Including wave generators with cost factor of {wave_cost_factor}"
-            )
-            add_wave(n, wave_cost_factor)
         if o[:4] == "dist":
             options["electricity_distribution_grid"] = True
             options["electricity_distribution_grid_cost_factor"] = float(