added electrical demand for lighting and appliances to the workflow

monthly_energy_balance.py

@@ -13,6 +13,15 @@ from helpers.monthly_values import MonthlyValues
 from exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
 from insel.monthly_demand_calculation import MonthlyDemandCalculation
 
+_DAYS_A_MONTH = {cte.MONDAY: [5, 4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 5],
+                 cte.TUESDAY: [5, 4, 4, 4, 5, 4, 5, 4, 4, 5, 4, 4],
+                 cte.WEDNESDAY: [5, 4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4],
+                 cte.THURSDAY: [4, 4, 5, 4, 5, 4, 4, 5, 4, 4, 5, 4],
+                 cte.FRIDAY: [4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5, 4],
+                 cte.SATURDAY: [4, 4, 5, 4, 4, 5, 4, 4, 5, 4, 4, 5],
+                 cte.SUNDAY: [4, 4, 4, 5, 4, 4, 5, 4, 5, 4, 4, 5],
+                 cte.HOLIDAY: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
+
 
 class MonthlyEnergyBalance:
   def __init__(self, city, path, attic_heated_case, basement_heated_case, weather_format):
@@ -64,6 +73,9 @@ class MonthlyEnergyBalance:
     insel = MonthlyDemandCalculation(self._city, tmp_path, self._weather_format)
     insel.run()
     insel.results()
+
+    self._dhw_demand()
+    self._electrical_demand()
     self._print_results()
 
   def _print_results(self):
@@ -76,7 +88,8 @@ class MonthlyEnergyBalance:
         print_results = heating_results
       else:
         print_results = pd.concat([print_results, heating_results], axis='columns')
-      print_results = pd.concat([print_results, cooling_results], axis='columns')
+      print_results = pd.concat([print_results, cooling_results, building.lighting_electrical_demand,
+                                 building.appliances_electrical_demand], axis='columns')
       file += '\n'
       file += 'name: ' + building.name + '\n'
       file += 'year of construction: ' + str(building.year_of_construction) + '\n'
@@ -91,3 +104,38 @@ class MonthlyEnergyBalance:
     full_path_metadata = Path(self._path / 'metadata.csv').resolve()
     with open(full_path_metadata, 'w') as metadata_file:
       metadata_file.write(file)
+
+  def _dhw_demand(self):
+    for building in self._city.buildings:
+      domestic_hot_water_demand = 0
+
+  def _electrical_demand(self):
+    for building in self._city.buildings:
+      lighting_demand = []
+      appliances_demand = []
+      thermal_zone = building.internal_zones[0].thermal_zones[0]
+      area = thermal_zone.total_floor_area
+
+      for month in range(0, 12):
+        total_lighting = 0
+        for schedule in thermal_zone.lighting.schedules:
+          total_day = 0
+          for value in schedule.values:
+            total_day += value
+          for day_type in schedule.day_types:
+            total_lighting += total_day * _DAYS_A_MONTH[day_type][month] * thermal_zone.lighting.density
+        lighting_demand.append(total_lighting * area)
+
+        total_appliances = 0
+        for schedule in thermal_zone.appliances.schedules:
+          total_day = 0
+          for value in schedule.values:
+            total_day += value
+          for day_type in schedule.day_types:
+            total_appliances += total_day * _DAYS_A_MONTH[day_type][month] * thermal_zone.appliances.density
+        appliances_demand.append(total_appliances * area)
+
+      building.lighting_electrical_demand = pd.DataFrame(lighting_demand,
+                                                         columns=[f'{building.name} lighting electrical demand Wh'])
+      building.appliances_electrical_demand = pd.DataFrame(appliances_demand,
+                                                           columns=[f'{building.name} appliances electrical demand Wh'])