Remove connection costs output

rules/build_electricity.smk

@@ -487,7 +487,6 @@ rule simplify_network:
         regions_onshore=resources("regions_onshore_elec_s{simpl}.geojson"),
         regions_offshore=resources("regions_offshore_elec_s{simpl}.geojson"),
         busmap=resources("busmap_elec_s{simpl}.csv"),
-        connection_costs=resources("connection_costs_s{simpl}.csv"),
     log:
         logs("simplify_network/elec_s{simpl}.log"),
     benchmark:

scripts/build_electricity_demand.py

@@ -311,6 +311,8 @@ def manual_adjustment(load, fn_load, countries):
         logger.info("Supplement missing data with synthetic data.")
         fn = snakemake.input.synthetic
         synthetic_load = pd.read_csv(fn, index_col=0, parse_dates=True)
+        # "UA" does not appear in synthetic load data
+        countries = list(set(countries) - set(["UA"]))
         synthetic_load = synthetic_load.loc[snapshots, countries]
         load = load.combine_first(synthetic_load)
 

scripts/simplify_network.py

@@ -207,7 +207,7 @@ def _compute_connection_costs_to_bus(
     return connection_costs_to_bus
 
 
-def _adjust_capital_costs_using_connection_costs(n, connection_costs_to_bus, output):
+def _adjust_capital_costs_using_connection_costs(n, connection_costs_to_bus):
     connection_costs = {}
     for tech in connection_costs_to_bus:
         tech_b = n.generators.carrier == tech
@@ -228,14 +228,12 @@ def _adjust_capital_costs_using_connection_costs(n, connection_costs_to_bus, out
                 )
             )
             connection_costs[tech] = costs
-    pd.DataFrame(connection_costs).to_csv(output.connection_costs)
 
 
 def _aggregate_and_move_components(
     n,
     busmap,
     connection_costs_to_bus,
-    output,
     aggregate_one_ports={"Load", "StorageUnit"},
     aggregation_strategies=dict(),
     exclude_carriers=None,
@@ -248,7 +246,7 @@ def replace_components(n, c, df, pnl):
             if not df.empty:
                 import_series_from_dataframe(n, df, c, attr)
 
-    _adjust_capital_costs_using_connection_costs(n, connection_costs_to_bus, output)
+    _adjust_capital_costs_using_connection_costs(n, connection_costs_to_bus)
 
     generator_strategies = aggregation_strategies["generators"]
 
@@ -281,7 +279,6 @@ def simplify_links(
     length_factor,
     p_max_pu,
     exclude_carriers,
-    output,
     aggregation_strategies=dict(),
 ):
     ## Complex multi-node links are folded into end-points
@@ -406,7 +403,6 @@ def split_links(nodes):
         n,
         busmap,
         connection_costs_to_bus,
-        output,
         aggregation_strategies=aggregation_strategies,
         exclude_carriers=exclude_carriers,
     )
@@ -419,7 +415,6 @@ def remove_stubs(
     renewable_carriers,
     length_factor,
     simplify_network,
-    output,
     aggregation_strategies=dict(),
 ):
     logger.info("Removing stubs")
@@ -436,7 +431,6 @@ def remove_stubs(
         n,
         busmap,
         connection_costs_to_bus,
-        output,
         aggregation_strategies=aggregation_strategies,
         exclude_carriers=simplify_network["exclude_carriers"],
     )
@@ -556,7 +550,6 @@ def cluster(
         params.length_factor,
         params.p_max_pu,
         params.simplify_network["exclude_carriers"],
-        snakemake.output,
         params.aggregation_strategies,
     )
 
@@ -569,7 +562,6 @@ def cluster(
             params.renewable_carriers,
             params.length_factor,
             params.simplify_network,
-            snakemake.output,
             aggregation_strategies=params.aggregation_strategies,
         )
         busmaps.append(stub_map)