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10min guide to your first simulation
Prageeth Jayathissa edited this page Aug 9, 2020
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A pip install
is currently under development to speed up this process
See the examples folder for example simulations
import numpy as np
import pandas as pd
from buildingPhysics import Zone #Importing Zone Class
import supplySystem
import emissionSystem
from radiation import Location
from radiation import Window
# Initialise Zurich location with a Zurich weather file in the auxillary folder
Zurich = Location(epwfile_path='Zurich-Kloten_2013.epw')
# Initialise a building with default parameters
Office = Zone()
A full description of inputs for Building() can be found in buildingPhysics.py documentation
SouthWindow = Window(azimuth_tilt=0, alititude_tilt = 90, glass_solar_transmittance=0.7,
glass_light_transmittance=0.8, area = 4)
hour=3993 # define the hour of the year
Altitude, Azimuth = Zurich.calc_sun_position(latitude_deg=47.480,
longitude_deg=8.536, year=2015, hoy=hour)
#hoy: Hour of the Year
# Extract the outdoor temperature in Zurich for that hour
t_out = Zurich.weather_data['drybulb_C'][hour]
SouthWindow.calc_solar_gains(sun_altitude = Altitude, sun_azimuth = Azimuth,
normal_direct_radiation= Zurich.weather_data['dirnorrad_Whm2'][hour],
horizontal_diffuse_radiation = Zurich.weather_data['difhorrad_Whm2'][hour])
SouthWindow.calc_illuminance(sun_altitude = Altitude, sun_azimuth = Azimuth,
normal_direct_illuminance = Zurich.weather_data['dirnorillum_lux'][hour],
horizontal_diffuse_illuminance = Zurich.weather_data['difhorillum_lux'][hour])
Office.solve_energy(internal_gains=400, solar_gains=SouthWindow.solar_gains,t_out=t_out, t_m_prev=20)
Office.solve_lighting(illuminance=SouthWindow.transmitted_illuminance, occupancy=0.8)
- Office.heating_demand: space heating demand of the building [Wh/h]
- Office.heating_sys_electricity: heating electricity consumption [Wh/h]
- Office.heating_sys_fossils: heating fossil fuel consumption [Wh/h]
- Office.cooling_demand: space cooling demand of the building [Wh/h]
- Office.cooling_sys_electricity: electricity consumption from cooling [Wh/h]
- Office.cooling_sys_fossils: fossil fuel consumption from cooling [Wh/h]
- Office.electricity_out: electricty produced from combined heat pump systems [Wh/h]
- Office.sys_total_energy: total exergy consumed (electricity + fossils) for heating and cooling [Wh/h]
- Office.heating_energy: total exergy consumed (electricity + fossils) for heating [Wh/h]
- Office.cooling_energy: total exergy consumed (electricity + fossils) for cooling [Wh/h]
- Office.cop: COP of the heating or cooling system
- Office.has_heating_demand: Boolean
- Office.has_cooling_demand: Boolean
- Office.t_air: New air temperature of the building [C]
- Office.t_m: New thermal mass temperature of the building [C]
- Office.t_s: New surface temperature[C]
Repeat this methodology, but loop through 8760 hours of the year
See annual_simulation.py in the examples folder