adjasted workflow to new concept of the libs

insel/templates/monthly_energy_balance.py

@@ -24,7 +24,7 @@ class MonthlyEnergyBalance:
 
     file += 'p 4' + '\n'
     # BUILDING PARAMETERS
-    file += str(0.85*building.heated_volume) + ' % BP(1) Heated Volume (vBrutto)\n'
+    file += str(0.85*building.volume) + ' % BP(1) Heated Volume (vBrutto)\n'
     file += str(building.average_storey_height) + ' % BP(2) Average storey height / m\n'
     file += str(building.storeys_above_ground) + ' % BP(3) Number of storeys above ground\n'
     file += str(building.attic_heated) + ' % BP(4) Attic heating type (0=no room, 1=unheated, 2=heated)\n'
@@ -43,12 +43,13 @@ class MonthlyEnergyBalance:
     i = 0
     for usage_zone in building.usage_zones:
       percentage_usage = 1
-      file += str(float(building.foot_print.area) * percentage_usage) + '  % BP(11) #1 Area of zone ' + \
+      file += str(float(building.floor_area) * percentage_usage) + '  % BP(11) #1 Area of zone ' + \
           str(i + 1) + ' (sqm)' + '\n'
       total_internal_gains = 0
       for ig in usage_zone.internal_gains:
-        total_internal_gains += float(ig.average_internal_gain) * \
+#        total_internal_gains += float(ig.average_internal_gain) * \
-                                (float(ig.convective_fraction) + float(ig.radiative_fraction))
+#                                (float(ig.convective_fraction) + float(ig.radiative_fraction))
+        total_internal_gains += 10.45 * (float(ig.convective_fraction) + float(ig.radiative_fraction))
       file += str(total_internal_gains) + '  % BP(12) #2 Internal gains of zone ' + str(i + 1) + '\n'
       file += str(usage_zone.heating_setpoint) + '  % BP(13) #3 Heating setpoint temperature zone ' + \
           str(i + 1) + ' (tSetHeat)' + '\n'
@@ -59,9 +60,14 @@ class MonthlyEnergyBalance:
       file += str(usage_zone.hours_day) + '  %  BP(16) #6 Usage hours per day zone ' + str(i + 1) + '\n'
       file += str(usage_zone.days_year) + '  %  BP(17) #7 Usage days per year zone ' + str(i + 1) + '\n'
       if usage_zone.mechanical_air_change is None:
-        raise Exception('Ventilation air rate is not initialized')
+        if thermal_zone.infiltration_rate_system_off is None:
-      file += str(usage_zone.mechanical_air_change) + '  % BP(18) #8 Minimum air change rate zone ' + \
+          raise Exception('Ventilation air rate is not initialized')
-          str(i + 1) + ' (h^-1)' + '\n'
+        else:
+          file += str(thermal_zone.infiltration_rate_system_off) + '  % BP(18) #8 Minimum air change rate zone ' + \
+                  str(i + 1) + ' (h^-1)' + '\n'
+      else:
+        file += str(usage_zone.mechanical_air_change) + '  % BP(18) #8 Minimum air change rate zone ' + \
+                str(i + 1) + ' (h^-1)' + '\n'
       i += 1
 
     file += str(len(surfaces)) + '   % Number of surfaces = BP(11+8z)\n'
@@ -79,11 +85,17 @@ class MonthlyEnergyBalance:
     # todo: this method has to be reviewed for more than one thermal opening per thermal boundary
     for thermal_boundary in building.thermal_zones[0].bounded:
       type_code = lc.construction_types_to_code(thermal_boundary.type)
-      string = type_code + ' ' + str(thermal_boundary.area_above_ground) + ' ' + \
+      if thermal_boundary.surface.holes_polygons is None:
+        window_area = float(thermal_boundary.surface.perimeter_polygon.area) * float(thermal_boundary.window_ratio)
+      else:
+        window_area = 0
+        for hole_polygon in thermal_boundary.surface.holes_polygons:
+          window_area += hole_polygon.area
+      string = type_code + ' ' + str(0.85*thermal_boundary.area_above_ground) + ' ' + \
           str(thermal_boundary.area_below_ground) + ' ' + str(thermal_boundary.u_value) + ' ' + \
-          str(thermal_boundary.window_area) + ' '
+          str(0.85*window_area) + ' '
 
-      if thermal_boundary.window_area <= 0.001:
+      if window_area <= 0.001:
         string = string + '0 0 0 '
       else:
         string = string + str(thermal_boundary.thermal_openings[0].frame_ratio) + ' ' + \
@@ -153,6 +165,10 @@ class MonthlyEnergyBalance:
       csv_reader = csv.reader(csv_file)
       for line in csv_reader:
         demand = str(line).replace("['", '').replace("']", '').split()
+        for i in range(0, 2):
+          if demand[i] != 'NaN':
+            aux = float(demand[i])*1000     # kWh to Wh
+            demand[i] = str(aux)
         heating.append(demand[0])
         cooling.append(demand[1])
     monthly_heating = pd.DataFrame(heating, columns=['INSEL'])

main.py

@@ -1,7 +1,7 @@
 """
 Monthly energy balance main
 SPDX - License - Identifier: LGPL - 3.0 - or -later
-Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
+Copyright © 2020 Project Author Pilar Monsalvete Álvarez de Uribarri pilar.monsalvete@concordia.ca
 """
 
 import sys
@@ -19,6 +19,7 @@ from imports.geometry_factory import GeometryFactory
 from imports.weather_factory import WeatherFactory
 from city_model_structure.city import City
 import datetime
+import time
 
 parser = ArgumentParser(description='Monthly energy balance workflow v0.1.')
 required = parser.add_argument_group('required arguments')
@@ -33,8 +34,8 @@ parser.add_argument('--weather_step_in_pickle', '-ws', help='Weather parameters
 parser.add_argument('--use_cached_sra_file', '-u', help='Use sra files from cache, instead of freshly calculated sra '
                                                         'files', default=False)
 required.add_argument('--project_folder', '-f', help='Project folder', required=True)
-required.add_argument('--cli_weather_file', '-c',  help='weather cli file', required=True)
+required.add_argument('--weather_file_name', '-w',  help='Weather file', required=True)
-required.add_argument('--city_name', '-n',  help='city name for dat file', required=True)
+required.add_argument('--climate_reference_city', '-c', help='Closest city with climate weather', required=True)
 
 try:
   args = parser.parse_args()
@@ -54,14 +55,11 @@ else:
   city = GeometryFactory(args.geometry_type, file).city
   city.save(pickle_file)
 
+print('begin_populating_time', datetime.datetime.now())
 # Step 2: Populate city adding thermal- and usage-related parameters
 populated_step_in_pickle = ast.literal_eval(args.populated_step_in_pickle)
 if populated_step_in_pickle:
   populated_city = city
-  for building in populated_city.buildings:
-    for usage_zone in building.usage_zones:
-      usage_zone.heating_setpoint = 20
-      usage_zone.heating_setback = 17
 else:
   populated_city = Populate(city).populated_city
   pickle_file = Path(str(pickle_file).replace('.pickle', '_populated.pickle'))
@@ -70,12 +68,14 @@ if populated_city.buildings is None:
   print('No building to be calculated')
   sys.exit()
 
-print('populating_time', datetime.datetime.now())
+print('begin_weather_time', datetime.datetime.now())
 # Step 3: Populate city adding climate-related parameters
 weather_step_in_pickle = ast.literal_eval(args.weather_step_in_pickle)
 if not weather_step_in_pickle:
-  city_name = args.city_name
+  city.climate_reference_city = args.climate_reference_city
-  WeatherFactory('dat', populated_city, city_name)
+  path = (Path(args.project_folder) / 'tmp').resolve()
+  city.climate_file = (path / f'{args.climate_reference_city}.cli').resolve()
+  WeatherFactory('epw', populated_city, file_name=args.weather_file_name).enrich()
   for building in populated_city.buildings:
     if 'hour' not in building.external_temperature:
       print('No external temperature found')
@@ -83,13 +83,10 @@ if not weather_step_in_pickle:
 
     if 'month' not in building.external_temperature:
       building.external_temperature['month'] = mv.MonthlyValues().\
-        get_mean_values(building.external_temperature['hour'][['inseldb']])
+        get_mean_values(building.external_temperature['hour'][['epw']])
 
   max_buildings_handled_by_sra = 500
-  sra_file_name = 'SRA'
+  sra = SimplifiedRadiosityAlgorithm(Path(args.project_folder).resolve(), city, args.weather_file_name)
-  sra = SimplifiedRadiosityAlgorithm(Path(args.project_folder).resolve(), sra_file_name,
-                                     Path(args.cli_weather_file).resolve(),
-                                     city.city_objects, lower_corner=city.lower_corner)
   if ast.literal_eval(args.use_cached_sra_file):
     sra.results()
     sra.set_irradiance_surfaces(populated_city)
@@ -99,11 +96,7 @@ if not weather_step_in_pickle:
       radius = 100
       for building in city.buildings:
         new_city = city.region(building.location, radius)
-        sra_file_name = 'SRA'
+        sra_new = SimplifiedRadiosityAlgorithm(Path(args.project_folder).resolve(), city, args.weather_file_name)
-
-        sra_new = SimplifiedRadiosityAlgorithm(Path(args.project_folder).resolve(), sra_file_name,
-                                               Path(args.cli_weather_file).resolve(),
-                                               new_city.city_objects, lower_corner=new_city.lower_corner)
         sra_new.call_sra(keep_files=True)
         sra_new.set_irradiance_surfaces(city, building_name=building.name)
     else:
@@ -115,28 +108,17 @@ if not weather_step_in_pickle:
 print('begin_insel_time', datetime.datetime.now())
 # Step 4: Demand calculation (one model per building)
 print_results = None
-# todo: city.name needs location and so, internet connection
+file = 'city name: ' + city.name + '\n'
-# file = 'city name: ' + city.name + '\n'
-file = 'city name: Kelowna\n'
 i = 0
+init = time.process_time_ns()
 for building in populated_city.buildings:
   if building.name != 'BLD122177':
-    print(building.name)
     # todo: default values to be defined at each specific workflow!
     building.heated = True
     building.cooled = False
-    building.attic_heated = 2
+    building.attic_heated = 1
     building.basement_heated = 1
-    for thermal_boundary in building.thermal_zones[0].bounded:
+#    building.usage_zones[0].internal_gains[0].average_internal_gain = '10.45'
-      thermal_boundary.hi = 10
-      thermal_boundary.he = 25
-      for thermal_opening in thermal_boundary.thermal_openings:
-        thermal_opening.hi = 10
-        thermal_opening.he = 25
-    building.thermal_zones[0].indirectly_heated_area_ratio = 0.25
-    building.thermal_zones[0].additional_thermal_bridge_u_value = 0.05
-    building.usage_zones[0].mechanical_air_change = 0.35
-    building.thermal_zones[0].infiltration_rate_system_on = 0
     full_path_out = Path(args.project_folder + '/outputs/' + building.name + '_insel.out').resolve()
     full_path_out.parent.mkdir(parents=True, exist_ok=True)
     insel_file_name = building.name + '.insel'
@@ -145,6 +127,13 @@ for building in populated_city.buildings:
       insel = Insel(Path(args.project_folder).resolve(), insel_file_name, content, mode=2, keep_files=keep_files).run()
       building.heating['month'], building.cooling['month'] = templates.demand(full_path_out)
       new_building = building.heating['month'].rename(columns={'INSEL': building.name})
+      demand_year = 0
+      for value in building.heating['month']['INSEL']:
+        if value == 'NaN':
+          value = '0'
+        demand_year += float(value)
+      yearly_heating = pd.DataFrame([demand_year], columns=['INSEL'])
+      building.heating['year'] = yearly_heating
       if print_results is None:
         print_results = new_building
       else:
@@ -155,7 +144,7 @@ for building in populated_city.buildings:
       file += 'function: ' + building.function + '\n'
       file += 'floor area: ' + str(building.thermal_zones[0].floor_area) + '\n'
       file += 'storeys: ' + str(building.storeys_above_ground) + '\n'
-      file += 'heated_volume: ' + str(building.heated_volume) + '\n'
+      file += 'heated_volume: ' + str(building.volume) + '\n'
       file += 'volume: ' + str(building.volume) + '\n'
 
     except ValueError:
@@ -164,11 +153,13 @@ for building in populated_city.buildings:
       continue
   i += 1
 
-
 full_path_results = Path(args.project_folder + '/outputs/heating_demand.csv').resolve()
 print_results.to_csv(full_path_results)
 full_path_metadata = Path(args.project_folder + '/outputs/metadata.csv').resolve()
 with open(full_path_metadata, 'w') as metadata_file:
   metadata_file.write(file)
 
+pickle_file = Path(str(pickle_file).replace('.pickle', '_demand.pickle'))
+populated_city.save(pickle_file)
+
 print('end_time', datetime.datetime.now())

populate.py

@@ -32,7 +32,9 @@ class Populate:
       self._errors = []
       # Step 2.1: Thermal parameters
       tmp_city = City(self._city.lower_corner, self._city.upper_corner, self._city.srs_name)
-      PhysicsFactory(self.handler, self._city)
+      # todo: just for Rabeehs case!!
+      #PhysicsFactory(self.handler, self._city)
+      PhysicsFactory('ca', self._city).enrich()
       print('original:', len(self._city.buildings))
       for building in self._city.buildings:
         # infiltration_rate_system_off is a mandatory parameter.
@@ -45,7 +47,10 @@ class Populate:
 
       # Step 2.2: Usage parameters
       print('physics:', len(tmp_city.buildings))
-      UsageFactory(self.handler, tmp_city)
+
+      # todo: just for Rabeehs case!!
+      #UsageFactory(self.handler, tmp_city)
+      UsageFactory('ca', tmp_city).enrich()
       self._populated_city = City(self._city.lower_corner, self._city.upper_corner, self._city.srs_name)
       for building in tmp_city.buildings:
         # heating_setpoint is a mandatory parameter.
@@ -54,4 +59,5 @@ class Populate:
           self._populated_city.add_city_object(building)
         if self._populated_city.buildings is None:
           self._errors.append('no archetype found per usage')
+      print('usage:', len(tmp_city.buildings))
     return self._populated_city

simplified_radiosity_algorithm/simplified_radiosity_algorithm.py

@@ -10,82 +10,56 @@ from pathlib import Path
 import pandas as pd
 from helpers import monthly_values as mv
 import subprocess
-import xmltodict
-from collections import OrderedDict
 from subprocess import SubprocessError, TimeoutExpired, CalledProcessError
 
+from exports.exports_factory import ExportsFactory
+from imports.weather_factory import WeatherFactory
+
 
 class SimplifiedRadiosityAlgorithm:
   # todo: define executable as configurable parameter
  # _executable = 'citysim_sra'       # for linux
   _executable = 'shortwave_integer'    # for windows
 
-  def __init__(self, sra_working_path, sra_file_name, full_path_cli, city_objects=None,
+  def __init__(self, sra_working_path, city, weather_file_name):
-               begin_month=1, begin_day=1, end_month=12, end_day=31, lower_corner=None):
+    self._city = city
-    self._full_path_cli = full_path_cli
-    self._sra_file_name = sra_file_name
-    self._begin_month = begin_month
-    self._begin_day = begin_day
-    self._end_month = end_month
-    self._end_day = end_day
-    if lower_corner is None:
-      lower_corner = [0, 0, 0]
-    self._lower_corner = lower_corner
     self._sra_working_path = sra_working_path
-    tmp_path = (sra_working_path / 'tmp').resolve()
+    self._weather_file_name = weather_file_name
-    Path(tmp_path).mkdir(parents=True, exist_ok=True)
+    self._tmp_path = (sra_working_path / 'tmp').resolve()
+    Path(self._tmp_path).mkdir(parents=True, exist_ok=True)
     # Ensure tmp file is empty
-    for child in tmp_path.glob('*'):
+    for child in self._tmp_path.glob('*'):
       if child.is_file():
         child.unlink()
-    cache_path = (sra_working_path / 'cache').resolve()
+    self._cache_path = (sra_working_path / 'cache').resolve()
-    Path(cache_path).mkdir(parents=True, exist_ok=True)
+    Path(self._cache_path).mkdir(parents=True, exist_ok=True)
-    self._full_path_in_sra = (tmp_path / (sra_file_name + '.xml')).resolve()
+    self._sra_out_file_name = self._city.name + '_sra_SW.out'
-    self._sra_out_file_name = sra_file_name + '_SW.out'
-    self._full_path_out_sra = (cache_path / self._sra_out_file_name).resolve()
-
-    print(self._full_path_in_sra, self._sra_out_file_name, self._full_path_out_sra)
-
     self._out_values = None
     self._radiation = []
-    self._content = OrderedDict()
-    climate = OrderedDict()
-    climate['@location'] = self._full_path_cli
-    climate['@city'] = self.city
-    simulation = OrderedDict()
-    simulation['@beginMonth'] = begin_month
-    simulation['@beginDay'] = begin_day
-    simulation['@endMonth'] = end_month
-    simulation['@endDay'] = end_day
-    city_sim = OrderedDict()
-    city_sim['@name'] = sra_file_name + '.xml'
-    city_sim['Simulation'] = simulation
-    city_sim['Climate'] = climate
-    self._content['CitySim'] = city_sim
-    if city_objects is not None:
-      self.add_city_objects(city_objects)
-    self.save()
 
   def call_sra(self, keep_files=False):
+    self._create_cli_file()
+    ExportsFactory('sra', self._city, self._tmp_path).export()
     try:
-      completed = subprocess.run([self._executable, str(self._full_path_in_sra)])
+      completed = subprocess.run([self._executable, str(Path(self._tmp_path / f'{self._city.name}_sra.xml').resolve())])
     except (SubprocessError, TimeoutExpired, CalledProcessError) as error:
       raise Exception(error)
-    file = (Path(self._sra_working_path) / 'tmp' / self._sra_out_file_name).resolve()
+    file = (self._tmp_path / self._sra_out_file_name).resolve()
-    new_path = (Path(self._sra_working_path) / 'cache' / self._sra_out_file_name).resolve()
+    new_path = (self._cache_path / self._sra_out_file_name).resolve()
     try:
      shutil.move(str(file), str(new_path))
     except Exception:
       raise Exception('No SRA output file found')
     self._out_values = self.results()
     if not keep_files:
-      os.remove(self._full_path_in_sra)
+      os.remove(Path(self._tmp_path / f'{self._city.name}_sra.xml').resolve())
     return completed
 
   def results(self):
     if self._out_values is None:
       try:
-        self._out_values = pd.read_csv(self._full_path_out_sra, sep='\s+', header=0)
+        path = (self._cache_path / self._sra_out_file_name).resolve()
+        self._out_values = pd.read_csv(path, sep='\s+', header=0)
       except Exception:
         raise Exception('No SRA output file found')
     return self._out_values
@@ -126,84 +100,52 @@ class SimplifiedRadiosityAlgorithm:
         if city_object_name != building_name:
           continue
       city_object = city.city_object(city_object_name)
+      print(city_object.name)
       for column in radiation.columns.values:
         if column == 'month':
           continue
         header_name = column
         surface_name = header_name.split(':')[2]
         surface = city_object.surface(surface_name)
+        print('surface', surface)
         new_value = pd.DataFrame(radiation[[header_name]].to_numpy(), columns=['sra'])
         if mode == 0 or mode == 2:
           month_new_value = mv.MonthlyValues().get_mean_values(new_value)
+          print(surface.global_irradiance)
+          print(month_new_value)
           if 'month' not in surface.global_irradiance:
             surface.global_irradiance['month'] = month_new_value
+            print('1', month_new_value)
           else:
             pd.concat([surface.global_irradiance['month'], month_new_value], axis=1)
+            print('rest', month_new_value)
         if mode == 1 or mode == 2:
           if 'hour' not in surface.global_irradiance:
             surface.global_irradiance['hour'] = new_value
           else:
             pd.concat([surface.global_irradiance['hour'], new_value], axis=1)
 
-  @property
+  def _create_cli_file(self):
-  def content(self):
+    file = self._city.climate_file
-    return xmltodict.unparse(self._content, pretty=True, short_empty_elements=True)
+    days_in_month = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
-
+    WeatherFactory('epw', self._city, file_name=self._weather_file_name).enrich()
-  def save(self):
+    content = self._city.name + '\n'
-    with open(self._full_path_in_sra, "w") as sra_file:
+    content += str(self._city.latitude) + ',' + str(self._city.longitude) + ',0.0,' + str(self._city.time_zone) + '\n'
-      sra_file.write(self.content)
+    content += '\ndm  m h G_Dh  G_Bn\n'
+    total_days = 0
+    for month in range(1, 13):
+      if month > 1:
+        total_days += days_in_month[month - 2]
+      for day in range(1, days_in_month[month-1]+1):
+        for hour in range(1, 25):
+          if month == 1:
+            i = 24 * (day-1) + hour - 1
+          else:
+            i = (total_days+day-1)*24 + hour - 1
+          representative_building = self._city.buildings[0]
+          content += str(day) + '  ' + str(month) + '  ' + str(hour) + '  ' \
+                     + str(representative_building.global_horizontal['hour'].epw[i]) + '  ' \
+                     + str(representative_building.beam['hour'].epw[i]) + '\n'
+    with open(file, "w") as file:
+      file.write(content)
     return
-
-  def _correct_points(self, points):
-    # correct the x, y, z values into the reference frame set by lower_corner parameter
-    # [0, 0, 0] by default means no correction.
-    x = points[0] - self._lower_corner[0]
-    y = points[1] - self._lower_corner[1]
-    z = points[2] - self._lower_corner[2]
-    correct_points = [x, y, z]
-    return correct_points
-
-  def add_city_objects(self, city_objects):
-    buildings = []
-    for i in range(len(city_objects)):
-      city_object = city_objects[i]
-      building = OrderedDict()
-      building['@Name'] = city_object.name
-      building['@id'] = i
-      building['@key'] = city_object.name
-      building['@Simulate'] = 'True'
-      walls, roofs, floors = [], [], []
-      for s in city_object.surfaces:
-        surface = OrderedDict()
-        surface['@id'] = s.name
-        surface['@ShortWaveReflectance'] = s.swr
-        for j in range(len(s.points - 1)):
-          points = self._correct_points(s.points[j])
-          vertex = OrderedDict()
-          vertex['@x'] = points[0]
-          vertex['@y'] = points[1]
-          vertex['@z'] = points[2]
-          surface['V' + str(j)] = vertex
-        if s.type == 'Wall':
-          walls.append(surface)
-        elif s.type == 'Roof':
-          roofs.append(surface)
-        else:
-          floors.append(surface)
-
-      building['Wall'] = walls
-      building['Roof'] = roofs
-      building['Floor'] = floors
-      buildings.append(building)
-
-    district = OrderedDict()
-    district['FarFieldObstructions'] = None
-    district['Building'] = buildings
-    self._content['CitySim']['District'] = district
-    return
-
-  @property
-  def city(self):
-    with open(self._full_path_cli, 'r') as file:
-      return file.readline().replace('\n', '')
-

tests/test_meb_workflow.py

@@ -12,9 +12,9 @@ from subprocess import SubprocessError, TimeoutExpired, CalledProcessError
 
 from insel.insel import Insel
 from insel.templates.monthly_energy_balance import MonthlyEnergyBalance as templates
-from factories.geometry_factory import GeometryFactory
+from imports.geometry_factory import GeometryFactory
 from populate import Populate
-from factories.weather_factory import WeatherFactory
+from imports.weather_factory import WeatherFactory
 from helpers import monthly_values as mv
 from simplified_radiosity_algorithm.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm as sralgorithm
 from city_model_structure.city import City
@@ -32,7 +32,7 @@ class TestMebWorkflow(TestCase):
     self._example_path = (Path(__file__).parent.parent / 'tests_data').resolve()
     self._geometry_type = 'citygml'
     self._use_cached_sra_file = False
-    self._input_geometry_file = (self._example_path / 'gis' / '2050 bp_2buildings.gml').resolve()
+    self._input_geometry_file = (self._example_path / 'gis' / '2050_bp_2buildings.gml').resolve()
     self._project_folder = Path(__file__).parent.parent
     self._cli_weather_file = (self._example_path / 'weather' / 'inseldb_new_york_city.cli').resolve()
     self._city_gml = None
@@ -67,10 +67,10 @@ class TestMebWorkflow(TestCase):
     if self._city_with_weather is None:
       self._city_with_weather = self._get_citygml(use_pickle=use_pickle)
       weather_path = (self._example_path / 'weather').resolve()
-      WeatherFactory('dat', self._city_with_weather, city_name=self._city_name, base_path=weather_path)
+      WeatherFactory('epw', self._city_with_weather, base_path=weather_path)
       for building in self._city_with_weather.buildings:
         building.external_temperature['month'] = mv.MonthlyValues(). \
-          get_mean_values(building.external_temperature['hour'][['inseldb']])
+          get_mean_values(building.external_temperature['hour'][['epw']])
 
       sra_file_name = 'SRA'
       sra = sralgorithm(Path(self._project_folder).resolve(), sra_file_name, Path(self._cli_weather_file).resolve(),
@@ -85,9 +85,9 @@ class TestMebWorkflow(TestCase):
   def _get_cli_single_building(self, building_name, radius, use_pickle):
     self._city_with_cli = self._get_citygml(use_pickle=use_pickle)
     building = self._city_with_cli.city_object(building_name)
-    new_city = self._city_with_cli.region(building.location, radius)
+    new_city = self._city_with_cli.region(building.centroid, radius)
     sra_file_name = 'SRA'
-    print('location', building.location)
+    print('location', building.centroid)
     print('lower corner', new_city.lower_corner)
     full_path_cli = (self._example_path / 'weather' / 'inseldb_Summerland.cli').resolve()
     sra = sralgorithm(Path(self._project_folder).resolve(), sra_file_name, full_path_cli, new_city.city_objects,
@@ -96,16 +96,6 @@ class TestMebWorkflow(TestCase):
     sra.set_irradiance_surfaces(self._city_with_cli, building_name=building_name)
     return self._city_with_cli
 
-  def _get_city_with_dat(self, use_pickle):
-    if self._city_with_dat is None:
-      self._city_with_dat = self._get_citygml(use_pickle=use_pickle)
-      weather_path = (self._example_path / 'weather').resolve()
-      WeatherFactory('dat', self._city_with_dat, city_name=self._city_name, base_path=weather_path)
-      for building in self._city_with_dat.buildings:
-        building.external_temperature['month'] = mv.MonthlyValues(). \
-          get_mean_values(building.external_temperature['hour'][['inseldb']])
-    return self._city_with_dat
-
   def test_populate_city(self):
     """
     Test populate class

tests_data/gis/2050_bp_2buildings.gml

@@ -420,7 +420,7 @@
 				</Solid>
 			</lod1Solid>
 			<yearOfConstruction>1965</yearOfConstruction>
-			<function>I1</function>
+			<function>residential</function>
 		</Building>
 	</cityObjectMember>
 	<cityObjectMember>
@@ -620,7 +620,7 @@
 				</Solid>
 			</lod1Solid>
 			<yearOfConstruction>2045</yearOfConstruction>
-			<function>I1</function>
+			<function>residential</function>
 		</Building>
 	</cityObjectMember>
 </CityModel>