diff --git a/Snakefile b/Snakefile
index 2702fd3d..7f5be34d 100644
--- a/Snakefile
+++ b/Snakefile
@@ -239,7 +239,8 @@ rule simplify_network:
         network='networks/elec_s{simpl}.nc',
         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'
+        busmap='resources/busmap_elec_s{simpl}.csv',
+        connection_costs='resources/connection_costs_s{simpl}.csv'
     log: "logs/simplify_network/elec_s{simpl}.log"
     benchmark: "benchmarks/simplify_network/elec_s{simpl}"
     threads: 1
diff --git a/scripts/base_network.py b/scripts/base_network.py
index 778f8dc4..4c2ed2c5 100644
--- a/scripts/base_network.py
+++ b/scripts/base_network.py
@@ -114,7 +114,7 @@ def _find_closest_links(links, new_links, distance_upper_bound=1.5):
 
 def _load_buses_from_eg():
     buses = (pd.read_csv(snakemake.input.eg_buses, quotechar="'",
-                         true_values='t', false_values='f',
+                         true_values=['t'], false_values=['f'],
                          dtype=dict(bus_id="str"))
             .set_index("bus_id")
             .drop(['station_id'], axis=1)
@@ -136,7 +136,7 @@ def _load_buses_from_eg():
 
 def _load_transformers_from_eg(buses):
     transformers = (pd.read_csv(snakemake.input.eg_transformers, quotechar="'",
-                                true_values='t', false_values='f',
+                                true_values=['t'], false_values=['f'],
                                 dtype=dict(transformer_id='str', bus0='str', bus1='str'))
                     .set_index('transformer_id'))
 
@@ -147,7 +147,7 @@ def _load_transformers_from_eg(buses):
 
 def _load_converters_from_eg(buses):
     converters = (pd.read_csv(snakemake.input.eg_converters, quotechar="'",
-                              true_values='t', false_values='f',
+                              true_values=['t'], false_values=['f'],
                               dtype=dict(converter_id='str', bus0='str', bus1='str'))
                   .set_index('converter_id'))
 
@@ -159,7 +159,7 @@ def _load_converters_from_eg(buses):
 
 
 def _load_links_from_eg(buses):
-    links = (pd.read_csv(snakemake.input.eg_links, quotechar="'", true_values='t', false_values='f',
+    links = (pd.read_csv(snakemake.input.eg_links, quotechar="'", true_values=['t'], false_values=['f'],
                          dtype=dict(link_id='str', bus0='str', bus1='str', under_construction="bool"))
              .set_index('link_id'))
 
@@ -249,7 +249,7 @@ def _add_links_from_tyndp(buses, links):
 
 
 def _load_lines_from_eg(buses):
-    lines = (pd.read_csv(snakemake.input.eg_lines, quotechar="'", true_values='t', false_values='f',
+    lines = (pd.read_csv(snakemake.input.eg_lines, quotechar="'", true_values=['t'], false_values=['f'],
                          dtype=dict(line_id='str', bus0='str', bus1='str',
                                     underground="bool", under_construction="bool"))
              .set_index('line_id')
diff --git a/scripts/simplify_network.py b/scripts/simplify_network.py
index 4678f796..c1840760 100644
--- a/scripts/simplify_network.py
+++ b/scripts/simplify_network.py
@@ -178,6 +178,7 @@ def _compute_connection_costs_to_bus(n, busmap, connection_costs_per_link=None,
 
 
 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
         costs = n.generators.loc[tech_b, "bus"].map(connection_costs_to_bus[tech]).loc[lambda s: s>0]
@@ -185,6 +186,9 @@ def _adjust_capital_costs_using_connection_costs(n, connection_costs_to_bus):
             n.generators.loc[costs.index, "capital_cost"] += costs
             logger.info("Displacing {} generator(s) and adding connection costs to capital_costs: {} "
                         .format(tech, ", ".join("{:.0f} Eur/MW/a for `{}`".format(d, b) for b, d in costs.iteritems())))
+            connection_costs[tech] = costs
+    pd.DataFrame(connection_costs).to_csv(snakemake.output.connection_costs) 
+            
 
 
 def _aggregate_and_move_components(n, busmap, connection_costs_to_bus, aggregate_one_ports={"Load", "StorageUnit"}):