diff --git a/monthly_energy_balance_engine.py b/monthly_energy_balance_engine.py
index 42712d0..68d0484 100644
--- a/monthly_energy_balance_engine.py
+++ b/monthly_energy_balance_engine.py
@@ -14,8 +14,8 @@ class MonthlyEnergyBalanceEngine:
     self._city = city
     self._file_path = file_path
     EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, self._file_path).export()
-    ResultFactory('insel_meb', self._city, self._file_path).enrich()
     self._run()
+    ResultFactory('insel_meb', self._city, self._file_path).enrich()
 
   def _run(self):
     """
diff --git a/results.py b/results.py
index cd65dc1..4887248 100644
--- a/results.py
+++ b/results.py
@@ -12,16 +12,23 @@ class Results:
     print_results = None
     file = 'city name: ' + self._city.name + '\n'
     for building in self._city.buildings:
-      heating_results = building.heating[cte.MONTH].rename(columns={'INSEL': f'{building.name} heating Wh'})
-      cooling_results = building.cooling[cte.MONTH].rename(columns={'INSEL': f'{building.name} cooling Wh'})
+      heating_results = building.heating[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} heating Wh'})
+      cooling_results = building.cooling[cte.MONTH].rename(columns={cte.INSEL_MEB: f'{building.name} cooling Wh'})
+      lighting_results = building.lighting_electrical_demand[cte.MONTH]\
+        .rename(columns={cte.INSEL_MEB: f'{building.name} lighting electrical demand Wh'})
+      appliances_results = building.appliances_electrical_demand[cte.MONTH]\
+        .rename(columns={cte.INSEL_MEB: f'{building.name} appliances electrical demand Wh'})
+      dhw_results = building.domestic_hot_water_heat_demand[cte.MONTH]\
+        .rename(columns={cte.INSEL_MEB: f'{building.name} domestic hot water demand Wh'})
       if print_results is None:
         print_results = heating_results
       else:
         print_results = pd.concat([print_results, heating_results], axis='columns')
-      print_results = pd.concat([print_results, cooling_results,
-                                 building.lighting_electrical_demand,
-                                 building.appliances_electrical_demand,
-                                 building.domestic_hot_water_heat_demand], axis='columns')
+      print_results = pd.concat([print_results,
+                                 cooling_results,
+                                 lighting_results,
+                                 appliances_results,
+                                 dhw_results], axis='columns')
       file += '\n'
       file += 'name: ' + building.name + '\n'
       file += 'year of construction: ' + str(building.year_of_construction) + '\n'