diff --git a/recommendations/HotwaterRecommendations.py b/recommendations/HotwaterRecommendations.py
index 9c5c7045..95488d3f 100644
--- a/recommendations/HotwaterRecommendations.py
+++ b/recommendations/HotwaterRecommendations.py
@@ -62,7 +62,10 @@ class HotwaterRecommendations:
                 "sap_points": None,
                 "already_installed": already_installed,
                 **recommendation_cost,
-                "simulation_config": {"hot_water_energy_eff_ending": "Average"}
+                "simulation_config": {"hot_water_energy_eff_ending": "Average"},
+                "description_simulation": {
+                    "hot-water-energy-eff": "Average"
+                }
             }
         )
         return
diff --git a/recommendations/Recommendations.py b/recommendations/Recommendations.py
index 6e17ef54..5cca056f 100644
--- a/recommendations/Recommendations.py
+++ b/recommendations/Recommendations.py
@@ -337,9 +337,10 @@ class Recommendations:
         sap_phase_impact = property_sap_predictions.groupby("phase")["predictions"].median().reset_index()
         heat_phase_impact = property_heat_predictions.groupby("phase")["predictions"].median().reset_index()
         carbon_phase_impact = property_carbon_predictions.groupby("phase")["predictions"].median().reset_index()
-        lighting_cost_phase_impact = (
-            property_lighting_cost_predictions.groupby("phase")[["adjusted_cost", "predictions"]].median().reset_index()
-        )
+        # lighting_cost_phase_impact = (
+        #     property_lighting_cost_predictions.groupby("phase")[["adjusted_cost", "predictions"]].median(
+        #     ).reset_index()
+        # )
         heating_cost_phase_impact = (
             property_heating_cost_predictions.groupby("phase")[["adjusted_cost", "predictions"]].median().reset_index()
         )
@@ -349,32 +350,6 @@ class Recommendations:
             ].median().reset_index()
         )
 
-        # The heat demand change is the difference between the starting heat demand and the value at the final phase
-        # expected_heat_demand = property_instance.floor_area * (
-        #     heat_phase_impact[heat_phase_impact["phase"] == max(heat_phase_impact["phase"])]["predictions"].values[0]
-        # )
-        # starting_heat_demand = (
-        #     float(property_instance.data["energy-consumption-current"]) * property_instance.floor_area
-        # )
-        #
-        # # This is the unadjusted resulting heat demand
-        # predicted_heat_demand_change = starting_heat_demand - expected_heat_demand
-        #
-        # # TODO: This isn't quite right as this is based on EVERY possible measure, not just the ones that are
-        # #       actually implemented
-        # expected_adjusted_energy = AnnualBillSavings.adjust_energy_to_metered(
-        #     epc_energy_consumption=expected_heat_demand,
-        #     current_epc_rating=property_instance.data["current-energy-rating"],
-        #     total_floor_area=property_instance.floor_area
-        # )
-        #
-        # adjusted_heat_demand_change = (
-        #     property_instance.current_adjusted_energy - expected_adjusted_energy
-        # )
-        #
-        # # TODO: We should determine if the home is gas & electricity or just electricity
-        # expected_energy_bill = AnnualBillSavings.calculate_annual_bill(expected_adjusted_energy)
-
         phase_lighting_costs = {}
         phase_kwh_figures = {}
         for recommendations_by_type in property_recommendations:
@@ -752,6 +727,14 @@ class Recommendations:
                     rec["heat_demand"] is None) or (rec["energy_cost_savings"] is None):
                     raise ValueError("sap points, co2 or heat demand is missing")
 
+        # We sum up the total savings for the property and that is our expected energy bill
+        # expected_energy_bill = sum(
+        #     [
+        #         rec["energy_cost_savings"] for rec in property_recommendations
+        #         if rec["type"] != "mechanical_ventilation"
+        #     ]
+        # )
+
         return (
             property_recommendations,
             expected_adjusted_energy,