remove duplicated config entry

Snakefile

@@ -1141,7 +1141,7 @@ rule build_ship_profile:
 
 rule add_export:
     params:
-        gadm_level=config["sector"]["gadm_level"],
+        gadm_layer_id=config["build_shape_options"]["gadm_layer_id"],
         alternative_clustering=config["cluster_options"]["alternative_clustering"],
         store=config["export"]["store"],
         store_capital_costs=config["export"]["store_capital_costs"],
@@ -1824,7 +1824,7 @@ rule prepare_db:
 rule build_industrial_distribution_key:  #default data
     params:
         countries=config["countries"],
-        gadm_level=config["sector"]["gadm_level"],
+        gadm_layer_id=config["build_shape_options"]["gadm_layer_id"],
         alternative_clustering=config["cluster_options"]["alternative_clustering"],
         industry_database=config["custom_data"]["industry_database"],
     input:

config.default.yaml

@@ -657,7 +657,6 @@ sector:
   co2_network: true
   co2_sequestration_potential: 200 #MtCO2/a sequestration potential for Europe
   co2_sequestration_cost: 10 #EUR/tCO2 for sequestration of CO2
-  hydrogen_underground_storage: true
   shipping_hydrogen_liquefaction: false
   shipping_average_efficiency: 0.4 #For conversion of fuel oil to propulsion in 2011
 
@@ -672,7 +671,6 @@ sector:
     NZ_2050: 0.36
     DF_2050: 0.12
 
-  gadm_level: 1
   h2_cavern: true
   marginal_cost_storage: 0
   methanation: true

scripts/_helpers.py

@@ -1273,7 +1273,7 @@ def get_GADM_layer(country_list, layer_id, update=False, outlogging=False):
 def locate_bus(
     coords,
     co,
-    gadm_level,
+    gadm_layer_id,
     path_to_gadm=None,
     gadm_clustering=False,
     col="name",
@@ -1305,8 +1305,8 @@ def locate_bus(
                         lambda name: three_2_two_digits_country(name[:3]) + name[3:]
                     )
         else:
-            gdf = get_GADM_layer(co, gadm_level)
-            col = "GID_{}".format(gadm_level)
+            gdf = get_GADM_layer(co, gadm_layer_id)
+            col = "GID_{}".format(gadm_layer_id)
 
         # gdf.set_index("GADM_ID", inplace=True)
     gdf_co = gdf[

scripts/add_export.py

@@ -47,13 +47,13 @@ def select_ports(n):
         logger.error(
             "No export ports chosen, please add ports to the file data/export_ports.csv"
         )
-    gadm_level = snakemake.params.gadm_level
+    gadm_layer_id = snakemake.params.gadm_layer_id
 
-    ports["gadm_{}".format(gadm_level)] = ports[["x", "y", "country"]].apply(
+    ports["gadm_{}".format(gadm_layer_id)] = ports[["x", "y", "country"]].apply(
         lambda port: locate_bus(
             port[["x", "y"]],
             port["country"],
-            gadm_level,
+            gadm_layer_id,
             snakemake.input["shapes_path"],
             snakemake.params.alternative_clustering,
         ),
@@ -62,7 +62,7 @@ def select_ports(n):
 
     # TODO: revise if ports quantity and property by shape become relevant
     # drop duplicated entries
-    gcol = "gadm_{}".format(gadm_level)
+    gcol = "gadm_{}".format(gadm_layer_id)
     ports_sel = ports.loc[~ports[gcol].duplicated(keep="first")].set_index(gcol)
 
     # Select the hydrogen buses based on nodes with ports

scripts/build_industrial_distribution_key.py

@@ -21,7 +21,7 @@
 gpd_version = StrictVersion(gpd.__version__)
 
 
-def map_industry_to_buses(df, countries, gadm_level, shapes_path, gadm_clustering):
+def map_industry_to_buses(df, countries, gadm_layer_id, shapes_path, gadm_clustering):
     """
     Load hotmaps database of industrial sites and map onto bus regions. Build
     industrial demand... Change name and add other functions.
@@ -31,18 +31,18 @@ def map_industry_to_buses(df, countries, gadm_level, shapes_path, gadm_clusterin
     Change hotmaps to more descriptive name, etc.
     """
     df = df[df.country.isin(countries)]
-    df["gadm_{}".format(gadm_level)] = df[["x", "y", "country"]].apply(
+    df["gadm_{}".format(gadm_layer_id)] = df[["x", "y", "country"]].apply(
         lambda site: locate_bus(
             site[["x", "y"]].astype("float"),
             site["country"],
-            gadm_level,
+            gadm_layer_id,
             shapes_path,
             gadm_clustering,
         ),
         axis=1,
     )
 
-    return df.set_index("gadm_" + str(gadm_level))
+    return df.set_index("gadm_" + str(gadm_layer_id))
 
 
 def build_nodal_distribution_key(
@@ -131,7 +131,7 @@ def match_technology(df):
     regions = gpd.read_file(snakemake.input.regions_onshore)
     shapes_path = snakemake.input.shapes_path
 
-    gadm_level = snakemake.params.gadm_level
+    gadm_layer_id = snakemake.params.gadm_layer_id
     countries = snakemake.params.countries
     gadm_clustering = snakemake.params.alternative_clustering
 
@@ -178,7 +178,7 @@ def match_technology(df):
     industrial_database = map_industry_to_buses(
         geo_locs[geo_locs.quality != "unavailable"],
         countries,
-        gadm_level,
+        gadm_layer_id,
         shapes_path,
         gadm_clustering,
     )

scripts/cluster_network.py

@@ -378,7 +378,7 @@ def n_bounds(model, *n_id):
     )
 
 
-def busmap_for_gadm_clusters(inputs, n, gadm_level, geo_crs, country_list):
+def busmap_for_gadm_clusters(inputs, n, gadm_layer_id, geo_crs, country_list):
     gdf = gpd.read_file(inputs.gadm_shapes)
 
     def locate_bus(coords, co):
@@ -394,12 +394,12 @@ def locate_bus(coords, co):
             ]["GADM_ID"].item()
 
     buses = n.buses
-    buses["gadm_{}".format(gadm_level)] = buses[["x", "y", "country"]].apply(
+    buses["gadm_{}".format(gadm_layer_id)] = buses[["x", "y", "country"]].apply(
         lambda bus: locate_bus(bus[["x", "y"]], bus["country"]), axis=1
     )
 
     buses["gadm_subnetwork"] = (
-        buses["gadm_{}".format(gadm_level)] + "_" + buses["carrier"].astype(str)
+        buses["gadm_{}".format(gadm_layer_id)] + "_" + buses["carrier"].astype(str)
     )
     busmap = buses["gadm_subnetwork"]
 

scripts/prepare_sector_network.py

@@ -1022,23 +1022,23 @@ def add_aviation(n, cost):
     airports = pd.read_csv(snakemake.input.airports, keep_default_na=False)
     airports = airports[airports.country.isin(countries)]
 
-    gadm_level = options["gadm_level"]
+    gadm_layer_id = snakemake.config["build_shape_options"]["gadm_layer_id"]
 
-    airports["gadm_{}".format(gadm_level)] = airports[["x", "y", "country"]].apply(
+    airports["gadm_{}".format(gadm_layer_id)] = airports[["x", "y", "country"]].apply(
         lambda airport: locate_bus(
             airport[["x", "y"]],
             airport["country"],
-            gadm_level,
+            gadm_layer_id,
             snakemake.input.shapes_path,
             snakemake.config["cluster_options"]["alternative_clustering"],
         ),
         axis=1,
     )
     # To change 3 country code to 2
-    # airports["gadm_{}".format(gadm_level)] = airports["gadm_{}".format(gadm_level)].apply(
+    # airports["gadm_{}".format(gadm_layer_id)] = airports["gadm_{}".format(gadm_layer_id)].apply(
     # lambda cocode: three_2_two_digits_country(cocode[:3]) + " " + cocode[4:-2])
 
-    airports = airports.set_index("gadm_{}".format(gadm_level))
+    airports = airports.set_index("gadm_{}".format(gadm_layer_id))
 
     ind = pd.DataFrame(n.buses.index[n.buses.carrier == "AC"])
 
@@ -1290,7 +1290,7 @@ def add_shipping(n, costs):
     ).squeeze()
     ports = ports[ports.country.isin(countries)]
 
-    gadm_level = options["gadm_level"]
+    gadm_layer_id = snakemake.config["build_shape_options"]["gadm_layer_id"]
 
     all_navigation = ["total international navigation", "total domestic navigation"]
 
@@ -1307,18 +1307,18 @@ def add_shipping(n, costs):
         options["shipping_hydrogen_share"], demand_sc + "_" + str(investment_year)
     )
 
-    ports["gadm_{}".format(gadm_level)] = ports[["x", "y", "country"]].apply(
+    ports["gadm_{}".format(gadm_layer_id)] = ports[["x", "y", "country"]].apply(
         lambda port: locate_bus(
             port[["x", "y"]],
             port["country"],
-            gadm_level,
+            gadm_layer_id,
             snakemake.input["shapes_path"],
             snakemake.config["cluster_options"]["alternative_clustering"],
         ),
         axis=1,
     )
 
-    ports = ports.set_index("gadm_{}".format(gadm_level))
+    ports = ports.set_index("gadm_{}".format(gadm_layer_id))
 
     ind = pd.DataFrame(n.buses.index[n.buses.carrier == "AC"])
     ind = ind.set_index(n.buses.index[n.buses.carrier == "AC"])

test/config.sector.yaml

@@ -43,7 +43,6 @@ existing_capacities:
 
 sector:
   solid_biomass_potential: 10 # TWh/a, Potential of whole modelled area
-  gadm_level: 2
 snapshots:
   # arguments to pd.date_range
   start: "2013-03-1"

test/config.test_myopic.yaml

@@ -287,7 +287,6 @@ sector:
   co2_network: true
   co2_sequestration_potential: 200 #MtCO2/a sequestration potential for Europe
   co2_sequestration_cost: 10 #EUR/tCO2 for sequestration of CO2
-  hydrogen_underground_storage: true
   shipping_hydrogen_liquefaction: false
   shipping_average_efficiency: 0.4 #For conversion of fuel oil to propulsion in 2011
 
@@ -302,7 +301,6 @@ sector:
     NZ_2050: 0.36
     DF_2050: 0.12
 
-  gadm_level: 1
   h2_cavern: true
   marginal_cost_storage: 0
   methanation: true