def test_windowSolarGains(self):
hoy = 3993
# 9:00 am 16 June 2015
Zurich = Location(epwfile_path=os.path.join(
mainPath, 'auxiliary', 'Zurich-Kloten_2013.epw'))
Altitude, Azimuth = Zurich.calc_sun_position(
latitude_deg=47.480, longitude_deg=8.536, year=2015, hoy=hoy)
SouthWindow = Window(azimuth_tilt=0, alititude_tilt=90, glass_solar_transmittance=0.7,
glass_light_transmittance=0.8, area=1)
EastWindow = Window(azimuth_tilt=90, alititude_tilt=90, glass_solar_transmittance=0.7,
glass_light_transmittance=0.8, area=1)
WestWindow = Window(azimuth_tilt=180, alititude_tilt=90, glass_solar_transmittance=0.7,
glass_light_transmittance=0.8, area=1)
NorthWindow = Window(azimuth_tilt=270, alititude_tilt=90, glass_solar_transmittance=0.7,
glass_light_transmittance=0.8, area=1)
RoofAtrium = Window(azimuth_tilt=0, alititude_tilt=0, glass_solar_transmittance=0.7,
glass_light_transmittance=0.8, area=1)
for selected_window in [SouthWindow, EastWindow, WestWindow, NorthWindow, RoofAtrium]:
selected_window.calc_solar_gains(sun_altitude=Altitude, sun_azimuth=Azimuth,
normal_direct_radiation=Zurich.weather_data[
'dirnorrad_Whm2'][hoy],
horizontal_diffuse_radiation=Zurich.weather_data['difhorrad_Whm2'][hoy])
selected_window.calc_illuminance(sun_altitude=Altitude, sun_azimuth=Azimuth,
normal_direct_illuminance=Zurich.weather_data[
'dirnorillum_lux'][hoy],
horizontal_diffuse_illuminance=Zurich.weather_data['difhorillum_lux'][hoy])
self.assertEqual(round(SouthWindow.incident_solar, 2), 315.85)
self.assertEqual(round(EastWindow.incident_solar, 2), 570.06)
self.assertEqual(round(WestWindow.incident_solar, 2), 58.0)
self.assertEqual(round(NorthWindow.incident_solar, 2), 58.0)
self.assertEqual(round(RoofAtrium.incident_solar, 2), 1113.72)
self.assertEqual(round(SouthWindow.solar_gains, 2), 221.1)
self.assertEqual(round(EastWindow.solar_gains, 2), 399.04)
self.assertEqual(round(WestWindow.solar_gains, 2), 40.6)
self.assertEqual(round(NorthWindow.solar_gains, 2), 40.6)
self.assertEqual(round(RoofAtrium.solar_gains, 2), 779.61)
self.assertEqual(
round(SouthWindow.transmitted_illuminance, 2), 27330.46)
self.assertEqual(
round(EastWindow.transmitted_illuminance, 2), 47989.19)
self.assertEqual(round(WestWindow.transmitted_illuminance, 2), 6375.2)
self.assertEqual(round(NorthWindow.transmitted_illuminance, 2), 6375.2)
self.assertEqual(
round(RoofAtrium.transmitted_illuminance, 2), 93833.62)
def test_sunPosition(self):
Zurich = Location(epwfile_path=os.path.join(mainPath, 'auxiliary',
'Zurich-Kloten_2013.epw'))
Azimuth = []
Altitude = []
Sunnyhoy = []
for hoy in range(8760):
angles = Zurich.calc_sun_position(latitude_deg=47.480,
longitude_deg=8.536,
year=2015,
hoy=hoy)
Altitude.append(angles[0])
Azimuth.append(angles[1])
Sunnyhoy.append(hoy + 1)
sunPosition = pd.read_csv(os.path.join(mainPath, 'auxiliary',
'SunPosition.csv'),
skiprows=1)
transSunPos = sunPosition.transpose()
hoy_check = transSunPos.index.tolist()
hoy_check = [float(ii) for ii in hoy_check]
Azimuth_check = (180 - transSunPos[1]).tolist()
Altitude_check = transSunPos[0].tolist()
self.assertEqual(round(Altitude[9], 1), round(Altitude_check[1], 1))
self.assertEqual(round(Azimuth[9], 1), round(Azimuth_check[1], 1))
self.assertEqual(round(Altitude[3993], 1),
round(Altitude_check[2023], 1))
self.assertEqual(round(Azimuth[3993], 1),
round(Azimuth_check[2023], 1))
# Azimuth Angles go out of sync with data, however the sin and cosine
# must still match
self.assertEqual(round(Altitude[4000], 1),
round(Altitude_check[2030], 1))
self.assertEqual(round(math.cos(math.radians(Azimuth[4000])), 1),
round(math.cos(math.radians(Azimuth_check[2030])), 1))
self.assertEqual(round(math.sin(math.radians(Azimuth[4000])), 1),
round(math.sin(math.radians(Azimuth_check[2030])), 1))
def test_sunPosition(self):
Zurich = Location(epwfile_path=os.path.join(
mainPath, 'auxiliary', 'Zurich-Kloten_2013.epw'))
Azimuth = []
Altitude = []
Sunnyhoy = []
for hoy in range(8760):
angles = Zurich.calc_sun_position(
latitude_deg=47.480, longitude_deg=8.536, year=2015, hoy=hoy)
Altitude.append(angles[0])
Azimuth.append(angles[1])
Sunnyhoy.append(hoy + 1)
sunPosition = pd.read_csv(os.path.join(
mainPath, 'auxiliary', 'SunPosition.csv'), skiprows=1)
transSunPos = sunPosition.transpose()
hoy_check = transSunPos.index.tolist()
hoy_check = [float(ii) for ii in hoy_check]
Azimuth_check = (180 - transSunPos[1]).tolist()
Altitude_check = transSunPos[0].tolist()
self.assertEqual(round(Altitude[9], 1), round(Altitude_check[1], 1))
self.assertEqual(round(Azimuth[9], 1), round(Azimuth_check[1], 1))
self.assertEqual(round(Altitude[3993], 1),
round(Altitude_check[2023], 1))
self.assertEqual(round(Azimuth[3993], 1),
round(Azimuth_check[2023], 1))
# Azimuth Angles go out of sync with data, however the sin and cosine
# must still match
self.assertEqual(round(Altitude[4000], 1),
round(Altitude_check[2030], 1))
self.assertEqual(round(math.cos(math.radians(Azimuth[4000])), 1), round(
math.cos(math.radians(Azimuth_check[2030])), 1))
self.assertEqual(round(math.sin(math.radians(Azimuth[4000])), 1), round(
math.sin(math.radians(Azimuth_check[2030])), 1))
def calculate_sun_angles():
Zurich = Location(epwfile_path=os.path.join(mainPath, 'auxiliary',
'Zurich-Kloten_2013.epw'))
Zurich.calc_sun_position(latitude_deg=47.480,
longitude_deg=8.536,
year=2015,
hoy=3708)
Azimuth = []
Altitude = []
Sunnyhoy = []
for hoy in range(8760):
sun = Zurich.calc_sun_position(latitude_deg=47.480,
longitude_deg=8.536,
year=2015,
hoy=hoy)
Altitude.append(sun[0])
Azimuth.append(sun[1])
Sunnyhoy.append(hoy + 1)
sunPosition = pd.read_csv(os.path.join(mainPath, 'auxiliary',
'SunPosition.csv'),
skiprows=1)
transSunPos = sunPosition.transpose()
hoy_check = transSunPos.index.tolist()
hoy_check = [float(ii) for ii in hoy_check]
Azimuth_check = (180 - transSunPos[1]).tolist()
Altitude_check = transSunPos[0].tolist()
plt.style.use('ggplot')
plt.plot(Sunnyhoy, Azimuth, hoy_check, Azimuth_check, Sunnyhoy, Altitude,
hoy_check, Altitude_check)
plt.legend(['Azimuth', 'Azimuth Check', 'Altitude', 'Altitude_check'])
plt.show()
def calculate_sun_angles():
Zurich = Location(epwfile_path=os.path.join(
mainPath, 'auxiliary', 'Zurich-Kloten_2013.epw'))
Zurich.calc_sun_position(latitude_deg=47.480, longitude_deg=8.536, year=2015, hoy=3708)
Azimuth = []
Altitude = []
Sunnyhoy = []
for hoy in range(8760):
sun = Zurich.calc_sun_position(
latitude_deg=47.480, longitude_deg=8.536, year=2015, hoy=hoy)
Altitude.append(sun[0])
Azimuth.append(sun[1])
Sunnyhoy.append(hoy + 1)
sunPosition = pd.read_csv(os.path.join(
mainPath, 'auxiliary', 'SunPosition.csv'), skiprows=1)
transSunPos = sunPosition.transpose()
hoy_check = transSunPos.index.tolist()
hoy_check = [float(ii) for ii in hoy_check]
Azimuth_check = (180 - transSunPos[1]).tolist()
Altitude_check = transSunPos[0].tolist()
plt.style.use('ggplot')
plt.plot(Sunnyhoy, Azimuth, hoy_check, Azimuth_check,
Sunnyhoy, Altitude, hoy_check, Altitude_check)
plt.legend(['Azimuth', 'Azimuth Check', 'Altitude', 'Altitude_check'])
plt.show()
matplotlib.style.use('ggplot')
# Empty Lists for Storing Data to Plot
ElectricityOut = []
HeatingDemand = [] # Energy required by the zone
HeatingEnergy = [] # Energy required by the supply system to provide HeatingDemand
CoolingDemand = [] # Energy surplus of the zone
CoolingEnergy = [] # Energy required by the supply system to get rid of CoolingDemand
IndoorAir = []
OutsideTemp = []
SolarGains = []
COP = []
# Initialise the Location with a weather file
Zurich = Location(epwfile_path=os.path.join(
mainPath, 'auxiliary', 'Zurich-Kloten_2013.epw'))
# Initialise an instance of the Zone. Empty spaces take on the default
# parameters. See ZonePhysics.py to see the default values
Office = Zone(window_area=4.0,
walls_area=11.0,
floor_area=35.0,
room_vol=105,
total_internal_area=142.0,
lighting_load=11.7,
lighting_control=300.0,
lighting_utilisation_factor=0.45,
lighting_maintenance_factor=0.9,
u_walls=0.2,
u_windows=1.1,
ach_vent=1.5,
def test_windowSolarGains(self):
hoy = 3993
# 9:00 am 16 June 2015
Zurich = Location(epwfile_path=os.path.join(mainPath, 'auxiliary',
'Zurich-Kloten_2013.epw'))
Altitude, Azimuth = Zurich.calc_sun_position(latitude_deg=47.480,
longitude_deg=8.536,
year=2015,
hoy=hoy)
SouthWindow = Window(azimuth_tilt=0,
alititude_tilt=90,
glass_solar_transmittance=0.7,
glass_light_transmittance=0.8,
area=1)
EastWindow = Window(azimuth_tilt=90,
alititude_tilt=90,
glass_solar_transmittance=0.7,
glass_light_transmittance=0.8,
area=1)
WestWindow = Window(azimuth_tilt=180,
alititude_tilt=90,
glass_solar_transmittance=0.7,
glass_light_transmittance=0.8,
area=1)
NorthWindow = Window(azimuth_tilt=270,
alititude_tilt=90,
glass_solar_transmittance=0.7,
glass_light_transmittance=0.8,
area=1)
RoofAtrium = Window(azimuth_tilt=0,
alititude_tilt=0,
glass_solar_transmittance=0.7,
glass_light_transmittance=0.8,
area=1)
for selected_window in [
SouthWindow, EastWindow, WestWindow, NorthWindow, RoofAtrium
]:
selected_window.calc_solar_gains(
sun_altitude=Altitude,
sun_azimuth=Azimuth,
normal_direct_radiation=Zurich.weather_data['dirnorrad_Whm2']
[hoy],
horizontal_diffuse_radiation=Zurich.
weather_data['difhorrad_Whm2'][hoy])
selected_window.calc_illuminance(
sun_altitude=Altitude,
sun_azimuth=Azimuth,
normal_direct_illuminance=Zurich.
weather_data['dirnorillum_lux'][hoy],
horizontal_diffuse_illuminance=Zurich.
weather_data['difhorillum_lux'][hoy])
self.assertEqual(round(SouthWindow.incident_solar, 2), 315.85)
self.assertEqual(round(EastWindow.incident_solar, 2), 570.06)
self.assertEqual(round(WestWindow.incident_solar, 2), 58.0)
self.assertEqual(round(NorthWindow.incident_solar, 2), 58.0)
self.assertEqual(round(RoofAtrium.incident_solar, 2), 855.87)
self.assertEqual(round(SouthWindow.solar_gains, 2), 221.1)
self.assertEqual(round(EastWindow.solar_gains, 2), 399.04)
self.assertEqual(round(WestWindow.solar_gains, 2), 40.6)
self.assertEqual(round(NorthWindow.solar_gains, 2), 40.6)
self.assertEqual(round(RoofAtrium.solar_gains, 2), 599.11)
self.assertEqual(round(SouthWindow.transmitted_illuminance, 2),
27330.46)
self.assertEqual(round(EastWindow.transmitted_illuminance, 2),
47989.19)
self.assertEqual(round(WestWindow.transmitted_illuminance, 2), 6375.2)
self.assertEqual(round(NorthWindow.transmitted_illuminance, 2), 6375.2)
self.assertEqual(round(RoofAtrium.transmitted_illuminance, 2),
72878.36)
ach_vent = (0.06 * ar / 0.092903 + 5 * ar / 11) / (ar / 0.092903)
# Empty Lists for Storing Data to Plot
ElectricityOut = []
HeatingDemand = [] # Energy required by the zone
HeatingEnergy = [
] # Energy required by the supply system to provide HeatingDemand
CoolingDemand = [] # Energy surplus of the zone
CoolingEnergy = [
] # Energy required by the supply system to get rid of CoolingDemand
IndoorAir = []
OutsideTemp = []
SolarGains = []
COP = []
# Initialise the Location with a weather file
Boston = Location(
epwfile_path=os.path.join(mainPath, 'Data', 'boston.epw'))
# Initialise an instance of the building. Empty spaces take on the default
# parameters. See buildingPhysics.py to see the default values
Office = Building(
window_area=window_area,
external_envelope_area=external_envelope_area,
room_depth=room_depth,
room_width=room_width,
room_height=room_height,
lighting_load=11,
lighting_control=300.0,
lighting_utilisation_factor=0.45,
lighting_maintenance_factor=0.9,
u_walls=0.51,
u_windows=2.3,
def run_rc_simulation(self, weatherfile_path, occupancy_path,
cooling_setpoint):
"""
ACHTUNG. Im Vergleich zum SIA Modul sind hier im Moment noch Wh als output zu finden.
:param weatherfile_path:
:param occupancy_path:
:return:
"""
standard_raumtemperaturen = {
1: 20.,
2: 20.,
3: 20.,
4: 20.,
5: 20.,
6: 20,
7: 20,
8: 22,
9: 18,
10: 18,
11: 18,
12: 28
} # 380-1 Tab7
warmeabgabe_p_p = {
1: 70.,
2: 70.,
3: 80.,
4: 70.,
5: 90.,
6: 100.,
7: 80.,
8: 80.,
9: 100.,
10: 100.,
11: 100.,
12: 60.
} # 380-1 Tab10 (W)
elektrizitatsbedarf = {
1: 28.,
2: 22.,
3: 22.,
4: 11.,
5: 33.,
6: 33.,
7: 17.,
8: 28.,
9: 17.,
10: 6.,
11: 6.,
12: 56.
} # 380-1 Tab12 (kWh/m2a)
personenflachen = {
1: 40.,
2: 60.,
3: 20.,
4: 10.,
5: 10.,
6: 5,
7: 5.,
8: 30.,
9: 20.,
10: 100.,
11: 20.,
12: 20.
} # 380-1 Tab9
aussenluft_strome = {
1: 0.7,
2: 0.7,
3: 0.7,
4: 0.7,
5: 0.7,
6: 1.2,
7: 1.0,
8: 1.0,
9: 0.7,
10: 0.3,
11: 0.7,
12: 0.7
} # 380-1 Tab14
# aussenluft_strome = {1:2.1}
annual_dhw_demand = {
1.1: 19.8,
1.2: 13.5,
2.1: 39.5,
2.2: 0.,
3.1: 3.6,
3.2: 3.6,
3.3: 0.0,
3.4: 0.0,
4.1: 5.3,
4.2: 0.0,
4.3: 0.0,
4.4: 7.9,
5.1: 2.7,
5.2: 2.7,
5.3: 1.5,
6.1: 108.9,
7.1: 7.3,
7.2: 7.3,
8.1: 67.7,
8.2: 0.0,
8.3: 0.0,
9.1: 2.4,
9.2: 2.4,
9.3: 2.4,
10.1: 0.9,
11.1: 52.9,
11.2: 87.1,
12: None
}
# in kWh/m2a according to SIA2024 possbily needs to be changed to SIA 385/2
self.t_set_heating = standard_raumtemperaturen[int(
self.gebaeudekategorie_sia)]
Loc = Location(epwfile_path=weatherfile_path)
gain_per_person = warmeabgabe_p_p[int(
self.gebaeudekategorie_sia)] # W/m2
appliance_gains = elektrizitatsbedarf[int(
self.gebaeudekategorie_sia
)] / 365 / 24 # W per sqm (constant over the year)
max_occupancy = self.energy_reference_area / personenflachen[int(
self.gebaeudekategorie_sia)]
self.ach_vent = aussenluft_strome[int(
self.gebaeudekategorie_sia
)] / self.room_height # here we switch from SIA m3/hm2 to air change rate /h
heating_supply_system = dp.translate_system_sia_to_rc(
self.heating_system)
cooling_supply_system = dp.translate_system_sia_to_rc(
self.cooling_system)
self.annual_dhw_demand = annual_dhw_demand[
self.
gebaeudekategorie_sia] * 1000 # Sia calculates in kWh, RC Simulator in Wh
Office = Building(
window_area=self.window_area,
external_envelope_area=self.external_envelope_area,
room_depth=self.room_depth,
room_width=self.room_width,
room_height=self.room_height,
lighting_load=self.lighting_load,
lighting_control=self.lighting_control,
lighting_utilisation_factor=self.lighting_utilisation_factor,
lighting_maintenance_factor=self.lighting_maintenance_factor,
u_walls=self.u_walls,
u_windows=self.u_windows,
ach_vent=self.ach_vent,
ach_infl=self.ach_infl,
ventilation_efficiency=self.ventilation_efficiency,
thermal_capacitance_per_floor_area=self.
thermal_capacitance_per_floor_area * 3600 *
1000, # Comes as kWh/m2K and needs to be J/m2K
t_set_heating=self.t_set_heating,
t_set_cooling=
cooling_setpoint, # maybe this can be added to the simulation object as well
max_cooling_energy_per_floor_area=self.
max_cooling_energy_per_floor_area,
max_heating_energy_per_floor_area=self.
max_heating_energy_per_floor_area,
heating_supply_system=heating_supply_system,
cooling_supply_system=cooling_supply_system,
heating_emission_system=emission_system.
FloorHeating, # define this!
cooling_emission_system=emission_system.
AirConditioning, # define this!
dhw_supply_temperature=self.dhw_supply_temperature,
)
SouthWindow = Window(
azimuth_tilt=0.,
alititude_tilt=90.0,
glass_solar_transmittance=self.g_windows,
glass_light_transmittance=0.5,
area=self.window_area) # az and alt are hardcoded because
# they are assumed to be vertical south facing windows (IMPROVE!)
# RoofPV = PhotovoltaicSurface(azimuth_tilt=pv_azimuth, alititude_tilt=pv_tilt, stc_efficiency=pv_efficiency,
# performance_ratio=0.8, area=pv_area) # Performance ratio is still hard coded.
# Temporarily disabled. Add again later
## Define occupancy
occupancyProfile = pd.read_csv(occupancy_path)
t_m_prev = 20.0 # This is only for the very first step in therefore is hard coded.
self.electricity_demand = np.empty(8760)
self.total_heat_demand = np.empty(8760)
self.heating_electricity_demand = np.empty(8760)
self.heating_fossil_demand = np.empty(8760)
self.heating_demand = np.empty(8760)
self.cooling_electricity_demand = np.empty(8760)
self.cooling_fossil_demand = np.empty(8760)
self.cooling_demand = np.empty(8760)
self.dhw_electricity_demand = np.empty(8760)
self.dhw_fossil_demand = np.empty(8760)
self.dhw_demand = np.empty(8760)
self.solar_gains = np.empty(8760)
self.indoor_temperature = np.empty(8760)
for hour in range(8760):
# Occupancy for the time step
occupancy = occupancyProfile.loc[hour, 'People'] * max_occupancy
# Gains from occupancy and appliances
internal_gains = occupancy * gain_per_person + appliance_gains * Office.floor_area
# Domestic hot water schedule ### add this in a later stage
dhw_demand = self.annual_dhw_demand / occupancyProfile['People'].sum()\
* occupancyProfile.loc[hour, 'People'] * self.energy_reference_area # Wh
# Extract the outdoor temperature in Zurich for that hour
t_out = Loc.weather_data['drybulb_C'][hour]
Altitude, Azimuth = Loc.calc_sun_position(latitude_deg=47.480,
longitude_deg=8.536,
year=2015,
hoy=hour)
SouthWindow.calc_solar_gains(
sun_altitude=Altitude,
sun_azimuth=Azimuth,
normal_direct_radiation=Loc.weather_data['dirnorrad_Whm2']
[hour],
horizontal_diffuse_radiation=Loc.weather_data['difhorrad_Whm2']
[hour])
SouthWindow.calc_illuminance(
sun_altitude=Altitude,
sun_azimuth=Azimuth,
normal_direct_illuminance=Loc.weather_data['dirnorillum_lux']
[hour],
horizontal_diffuse_illuminance=Loc.
weather_data['difhorillum_lux'][hour])
Office.solve_building_energy(internal_gains=internal_gains,
solar_gains=SouthWindow.solar_gains,
t_out=t_out,
t_m_prev=t_m_prev,
dhw_demand=dhw_demand)
Office.solve_building_lighting(
illuminance=SouthWindow.transmitted_illuminance,
occupancy=occupancy)
# Set the previous temperature for the next time step
t_m_prev = Office.t_m_next
self.heating_electricity_demand[
hour] = Office.heating_sys_electricity # unit? heating electricity demand
self.heating_fossil_demand[hour] = Office.heating_sys_fossils
self.cooling_electricity_demand[
hour] = Office.cooling_sys_electricity # unit?
self.cooling_fossil_demand[hour] = Office.cooling_sys_fossils
self.solar_gains[hour] = SouthWindow.solar_gains
self.electricity_demand[
hour] = Office.heating_sys_electricity + Office.dhw_sys_electricity + Office.cooling_sys_electricity # in Wh
self.heating_demand[
hour] = Office.heating_demand # this is the actual heat emitted, unit?
self.cooling_demand[hour] = Office.cooling_demand
self.dhw_electricity_demand[hour] = Office.dhw_sys_electricity
self.dhw_fossil_demand[hour] = Office.dhw_sys_fossils
self.dhw_demand[hour] = dhw_demand
self.indoor_temperature[hour] = Office.t_air
def run_rc_asdfsimulation(
external_envelope_area, window_area, room_width, room_depth,
room_height, thermal_capacitance_per_floor_area, u_walls, u_windows,
ach_vent, ach_infl, ventilation_efficiency,
max_heating_energy_per_floor_area, max_cooling_energy_per_floor_area,
pv_area, pv_efficiency, pv_tilt, pv_azimuth, lifetime, strom_mix,
weatherfile_path, grid_decarbonization_factors, t_set_heating,
t_set_cooling, annual_dhw_p_person, dhw_supply_temperature, use_type):
Loc = Location(epwfile_path=weatherfile_path)
## Define constants
gain_per_person = 100 # W per sqm (why is that per sqm when it says per person?)
appliance_gains = 14 #W per sqm
max_occupancy = 50 # number of occupants (could be simplified by using area per person values)
floor_area = room_width * room_depth
Office = Building(
window_area=window_area,
external_envelope_area=external_envelope_area,
room_depth=room_depth,
room_width=room_width,
room_height=room_height,
lighting_load=lighting_load,
lighting_control=lighting_control,
lighting_utilisation_factor=lighting_utilisation_factor,
lighting_maintenance_factor=lighting_maintenance_factor,
u_walls=u_walls,
u_windows=u_windows,
ach_vent=ach_vent,
ach_infl=ach_infl,
ventilation_efficiency=ventilation_efficiency,
thermal_capacitance_per_floor_area=thermal_capacitance_per_floor_area,
t_set_heating=t_set_heating,
t_set_cooling=t_set_cooling,
max_cooling_energy_per_floor_area=max_cooling_energy_per_floor_area[0],
max_heating_energy_per_floor_area=max_heating_energy_per_floor_area[0],
heating_supply_system=supply_system.ElectricHeating,
cooling_supply_system=supply_system.
DirectCooler, # What can we choose here for purely electric case?
heating_emission_system=emission_system.FloorHeating,
cooling_emission_system=emission_system.AirConditioning,
dhw_supply_temperature=dhw_supply_temperature,
)
SouthWindow = Window(azimuth_tilt=0.,
alititude_tilt=90.0,
glass_solar_transmittance=0.5,
glass_light_transmittance=0.5,
area=window_area)
## Define PV to this building
RoofPV = PhotovoltaicSurface(
azimuth_tilt=pv_azimuth,
alititude_tilt=pv_tilt,
stc_efficiency=pv_efficiency,
performance_ratio=0.8,
area=pv_area) # Performance ratio is still hard coded.
## Define occupancy
occupancyProfile = pd.read_csv(
r"C:\Users\walkerl\Documents\code\RC_BuildingSimulator\rc_simulator\auxiliary\occupancy_office.csv"
)
## Define embodied emissions: # In a later stage this could be included in the RC model "supply_system.py file"
coeq_gshp = dp.embodied_emissions_heat_generation_kbob_per_kW(
"gshp") # kgCO2/kW ## zusätzlich automatisieren
coeq_borehole = dp.embodied_emissions_borehole_per_m() #kg/m
coeq_ashp = dp.embodied_emissions_heat_generation_kbob_per_kW(
"ashp") # kgCO2/kW ## zusätzlich automatisieren
coeq_underfloor_heating = dp.embodied_emissions_heat_emission_system_per_m2(
"underfloor heating") #kg/m2
coeq_pv = dp.embodied_emissions_pv_per_kW() # kg/kWp
coeq_el_heater = dp.embodied_emissions_heat_generation_kbob_per_kW(
"electric heater") #kg/kW
#electricity demand from appliances
electric_appliances = dp.electric_appliances_sia(
energy_reference_area=room_depth * room_width,
type=use_type,
value="ziel")
#Starting temperature of the builidng:
t_m_prev = 20.0 # This is only for the very first step in therefore is hard coded.
# hourly_emission_factors = dp.build_yearly_emission_factors(strom_mix)
# hourly_emission_factors = dp.build_monthly_emission_factors(strom_mix)
hourly_emission_factors = dp.build_yearly_emission_factors(strom_mix)
hourly_emission_factors = hourly_emission_factors * grid_decarbonization_factors.mean(
)
electricity_demand = np.empty(8760)
pv_yield = np.empty(8760)
total_heat_demand = np.empty(8760)
heating_electricity_demand = np.empty(8760)
heating_demand = np.empty(8760)
cooling_electricity_demand = np.empty(8760)
cooling_demand = np.empty(8760)
solar_gains = np.empty(8760)
indoor_temperature = np.empty(8760)
for hour in range(8760):
#Occupancy for the time step
occupancy = occupancyProfile.loc[hour, 'People'] * max_occupancy
#Gains from occupancy and appliances
internal_gains = occupancy * gain_per_person + appliance_gains * Office.floor_area
# Domestic hot water schedule
dhw_demand = annual_dhw_p_person / occupancyProfile['People'].sum(
) * occupancy # Wh
#Extract the outdoor temperature in Zurich for that hour
t_out = Loc.weather_data['drybulb_C'][hour]
Altitude, Azimuth = Loc.calc_sun_position(latitude_deg=47.480,
longitude_deg=8.536,
year=2015,
hoy=hour)
SouthWindow.calc_solar_gains(
sun_altitude=Altitude,
sun_azimuth=Azimuth,
normal_direct_radiation=Loc.weather_data['dirnorrad_Whm2'][hour],
horizontal_diffuse_radiation=Loc.weather_data['difhorrad_Whm2']
[hour])
SouthWindow.calc_illuminance(
sun_altitude=Altitude,
sun_azimuth=Azimuth,
normal_direct_illuminance=Loc.weather_data['dirnorillum_lux']
[hour],
horizontal_diffuse_illuminance=Loc.weather_data['difhorillum_lux']
[hour])
RoofPV.calc_solar_yield(
sun_altitude=Altitude,
sun_azimuth=Azimuth,
normal_direct_radiation=Loc.weather_data['dirnorrad_Whm2'][hour],
horizontal_diffuse_radiation=Loc.weather_data['difhorrad_Whm2']
[hour])
Office.solve_building_energy(internal_gains=internal_gains,
solar_gains=SouthWindow.solar_gains,
t_out=t_out,
t_m_prev=t_m_prev,
dhw_demand=dhw_demand)
Office.solve_building_lighting(
illuminance=SouthWindow.transmitted_illuminance,
occupancy=occupancy)
#Set the previous temperature for the next time step
t_m_prev = Office.t_m_next
heating_electricity_demand[
hour] = Office.heating_sys_electricity # unit? heating electricity demand
cooling_electricity_demand[
hour] = Office.cooling_sys_electricity # unit?
solar_gains[hour] = SouthWindow.solar_gains
electricity_demand[
hour] = Office.heating_sys_electricity + Office.dhw_sys_electricity + Office.cooling_sys_electricity # in Wh
pv_yield[hour] = RoofPV.solar_yield # in Wh
heating_demand[
hour] = Office.heating_demand # this is the actual heat emitted, unit?
cooling_demand[hour] = Office.cooling_demand
indoor_temperature[hour] = Office.t_air
total_heat_demand[hour] = Office.heating_demand + Office.dhw_demand
electricity_demand = electricity_demand + electric_appliances
max_required_heating_per_floor_area = max(
heating_demand) / floor_area # W/m2
max_required_cooling_per_floor_area = min(
cooling_demand) / floor_area # W/m2
net_electricity_demand = np.subtract(electricity_demand, pv_yield)
net_self_consumption = np.empty(8760)
for hour in range(8760):
net_self_consumption[hour] = min(pv_yield[hour],
electricity_demand[hour])
# this is the ratio of electricity used to electricity produced and thus the emissions that are allocated to the building.
# This is highly questionable, meaning, it is discussed a lot
embodied_pv_ratio = net_self_consumption.sum() / pv_yield.sum()
net_operational_emissions = np.multiply(net_electricity_demand / 1000.,
hourly_emission_factors)
operational_emissions = np.copy(net_operational_emissions)
operational_emissions[operational_emissions < 0] = 0.00
## heat calculations:
annual_normalized_heat_demand = heating_demand.sum() / 1000 / floor_area
print("Annual_normalized_heat_demand:")
print(annual_normalized_heat_demand)
## embodied emissions: DO NOT YET USE THIS PART OF THE SIMULATION!!!!!
#
# #PV
# kwp_pv = RoofPV.area * RoofPV.efficiency # = kWp
# pv_embodied = kwp_pv*coeq_pv
#
#
# # direct electrical
# embodied_direct = coeq_el_heater * np.percentile(heating_electricity_demand, 97.5)/1000. \
# + pv_embodied * embodied_pv_ratio #_embodied emissions of the electrical heating system
#
# # ASHP
# ashp_power = np.percentile(heating_el_demands_list[1],97.5)/1000. #kW
# ashp_embodied = coeq_ashp*ashp_power # kgCO2eq
# underfloor_heating_embodied = coeq_underfloor_heating * Office_2X.floor_area # kgCO2eq
# embodied_ashp = ashp_embodied + underfloor_heating_embodied + pv_embodied*embodied_pv_ratio[1]
#
# # GSHP
# borehole_depth = 20 #m/kW - entspricht einer spezifischen Entzugsleistung von 50W/m
# gshp_power = np.percentile(heating_el_demands_list[2],97.5)/1000 #kW
# gshp_embodied = coeq_gshp * gshp_power # kgCO2eq
# # underfloor_heating_embodied = coeq_underfloor_heating * Office_2X.floor_area # kgCO2eq
# borehole_embodied = coeq_borehole * borehole_depth * gshp_power
# embodied_gshp = gshp_embodied + underfloor_heating_embodied + borehole_embodied + pv_embodied * embodied_pv_ratio[2]
# embodied_emissions = np.array([embodied_direct, embodied_ashp, embodied_gshp])
#
#
# # Annual for 25years lifetime
# annual_embodied_emissions = embodied_emissions/lifetime
# normalized_annual_embodied_emissions = annual_embodied_emissions/(room_width*room_depth)
#### Total emissions
annual_operational_emissions = operational_emissions.sum()
normalized_annual_operational_emissions = annual_operational_emissions / (
room_width * room_depth)
# normalized_total_emissions = normalized_annual_embodied_emissions+normalized_annual_operational_emissions
normalized_total_emissions = 0 # placeholder
normalized_annual_embodied_emissions = 0 # placeholder
return normalized_total_emissions, normalized_annual_operational_emissions, normalized_annual_embodied_emissions,\
u_windows, u_walls, thermal_capacitance_per_floor_area, max_required_heating_per_floor_area,\
max_required_cooling_per_floor_area, indoor_temperature
matplotlib.style.use('ggplot')
# Empty Lists for Storing Data to Plot
ElectricityOut = []
HeatingDemand = [] # Energy required by the zone
HeatingEnergy = [] # Energy required by the supply system to provide HeatingDemand
CoolingDemand = [] # Energy surplus of the zone
CoolingEnergy = [] # Energy required by the supply system to get rid of CoolingDemand
IndoorAir = []
OutsideTemp = []
SolarGains = []
COP = []
# Initialise the Location with a weather file
Zurich = Location(epwfile_path=os.path.join(
mainPath, 'auxiliary', 'Zurich-Kloten_2013.epw'))
# Initialise an instance of the building. Empty spaces take on the default
# parameters. See buildingPhysics.py to see the default values
Office = Building(window_area=4.0,
external_envelope_area=15.0,
room_depth=7.0,
room_width=5.0,
room_height=3.0,
lighting_load=11.7,
lighting_control=300.0,
lighting_utilisation_factor=0.45,
lighting_maintenance_factor=0.9,
u_walls=0.2,
u_windows=1.1,
ach_vent=1.5,
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from building_physics import Building
import supply_system
import emission_system
from radiation import Location
from radiation import Window
from radiation import PhotovoltaicSurface
### Initialise the Location with a weather file
Zurich = Location(
epwfile_path=
r"C:\Users\walkerl\Documents\code\RC_BuildingSimulator\rc_simulator\auxiliary\Zurich-Kloten_2013.epw"
)
#### Initialise Building Study
Office = Building(
window_area=4.0,
external_envelope_area=15.0,
room_depth=7.0,
room_width=5.0,
room_height=3.0,
lighting_load=11.7,
lighting_control=300.0,
lighting_utilisation_factor=0.45,
lighting_maintenance_factor=0.9,
u_walls=0.15,
# Empty Lists for Storing Data to Plot
ElectricityOut = []
HeatingDemand = [] # Energy required by the zone
HeatingEnergy = [
] # Energy required by the supply system to provide HeatingDemand
CoolingDemand = [] # Energy surplus of the zone
CoolingEnergy = [
] # Energy required by the supply system to get rid of CoolingDemand
IndoorAir = []
OutsideTemp = []
SolarGains = []
COP = []
# Initialise the Location with a weather file
Wellington = Location(
epwfile_path=os.path.join(mainPath, 'auxiliary', 'wellington_2006.epw'))
# Initialise an instance of the building. Empty spaces take on the default
# parameters. See buildingPhysics.py to see the default values
Greenhouse = Building(
window_area=370.0,
external_envelope_area=370.0 + 160.0,
room_depth=20.0,
room_width=8.0,
room_height=3.0,
lighting_load=0.0,
lighting_control=0.0,
u_walls=0.2,
u_windows=1.5,
ach_vent=0.0,
ach_infl=0.5,