forked from s_ranjbar/city_retrofit
Partial implementation for idf schedule import (doe_idf)
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@ -1,4 +1,4 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (libs_EPlus)" project-jdk-type="Python SDK" />
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8 (libs) (2)" project-jdk-type="Python SDK" />
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</project>
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@ -6,8 +6,6 @@ Contributor Milad milad.aghamohamadnia@concordia.ca
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Contributor Guille guille.gutierrezmorote@concordia.ca
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"""
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from typing import List
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from city_model_structure.attributes.node import Node
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from city_model_structure.network import Network
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@ -4,12 +4,15 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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"""
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from pathlib import Path
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from os.path import exists
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from exports.formats.stl import Stl
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from exports.formats.obj import Obj
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from exports.formats.energy_ade import EnergyAde
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from exports.formats.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm
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from exports.formats.idf import Idf
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from pathlib import Path
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class ExportsFactory:
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@ -67,9 +70,10 @@ class ExportsFactory:
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Export the city to Energy+ idf format
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:return:
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"""
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data_path = (Path(__file__).parent / '../tests/tests_data/').resolve()
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Idf(self._city, self._path, (data_path / f'minimal.idf').resolve(), (data_path / f'energy+.idd').resolve(),
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(data_path / f'montreal.epw').resolve())
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idf_data_path = (Path(__file__).parent / './formats/idf_files/').resolve()
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# todo: create a get epw file function based on the city
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weather_path = (Path(__file__).parent / '../data/weather/epw/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw').resolve()
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Idf(self._city, self._path, (idf_data_path / f'Minimal.idf'), (idf_data_path / f'Energy+.idd'), weather_path)
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@property
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def _sra(self):
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@ -14,14 +14,20 @@ class Idf:
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_CONSTRUCTION = 'CONSTRUCTION'
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_MATERIAL = 'MATERIAL'
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_MATERIAL_NOMASS = 'MATERIAL:NOMASS'
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_ROUGHNESS = "MediumRough"
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_HOURLY_SCHEDULE = "SCHEDULE:DAY:HOURLY"
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_ZONE = "ZONE"
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_LIGHTS = "LIGHTS"
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_PEOPLE = "PEOPLE"
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_ELECTRIC_EQUIPMEN = "ELECTRICEQUIPMENT"
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_INFILTRATION = "ZONEINFILTRATION:DESIGNFLOWRATE"
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_BUILDING_SURFACE = "BuildingSurfaceDetailed"
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_ROUGHNESS = 'MediumRough'
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_HOURLY_SCHEDULE = 'SCHEDULE:DAY:HOURLY'
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_ZONE = 'ZONE'
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_LIGHTS = 'LIGHTS'
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_PEOPLE = 'PEOPLE'
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_ELECTRIC_EQUIPMENT = 'ELECTRICEQUIPMENT'
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_INFILTRATION = 'ZONEINFILTRATION:DESIGNFLOWRATE'
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_BUILDING_SURFACE = 'BuildingSurfaceDetailed'
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_SCHEDULE_LIMIT = 'SCHEDULETYPELIMITS'
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_ON_OFF = 'On/Off'
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_FRACTION = 'Fraction'
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_ANY_NUMBER = 'Any Number'
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_CONTINUOUS = 'CONTINUOUS'
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_DISCRETE = 'DISCRETE'
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idf_surfaces = {
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# todo: make an enum for all the surface types
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@ -43,6 +49,11 @@ class Idf:
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self._epw_file_path = str(epw_file_path)
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IDF.setiddname(self._idd_file_path)
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self._idf = IDF(self._idf_file_path, self._epw_file_path)
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self._idf.newidfobject(self._SCHEDULE_LIMIT, Name=self._ANY_NUMBER)
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self._idf.newidfobject(self._SCHEDULE_LIMIT, Name=self._FRACTION, Lower_Limit_Value=0.0, Upper_Limit_Value=1.0,
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Numeric_Type=self._CONTINUOUS)
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self._idf.newidfobject(self._SCHEDULE_LIMIT, Name=self._ON_OFF, Lower_Limit_Value=0, Upper_Limit_Value=1,
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Numeric_Type=self._DISCRETE)
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self._export()
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@staticmethod
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@ -90,13 +101,12 @@ class Idf:
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Visible_Absorptance=layer.material.visible_absorptance
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)
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def _add_schedule(self, usage_zone, schedule_type):
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def _add_schedule(self, usage_zone, schedule_type, limit_name='Any Number'):
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for schedule in self._idf.idfobjects[self._HOURLY_SCHEDULE]:
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if schedule.Name == f'{schedule_type} schedules {usage_zone.usage}':
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return
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schedule = self._idf.newidfobject(self._HOURLY_SCHEDULE)
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schedule.Name = f'{schedule_type} schedules {usage_zone.usage}'
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schedule.Schedule_Type_Limits_Name = 'Any Number'
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schedule = self._idf.newidfobject(self._HOURLY_SCHEDULE, Name=f'{schedule_type} schedules {usage_zone.usage}')
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schedule.Schedule_Type_Limits_Name = limit_name
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schedule.Hour_1 = usage_zone.schedules[schedule_type]["WD"][0]
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schedule.Hour_2 = usage_zone.schedules[schedule_type]["WD"][1]
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@ -148,7 +158,7 @@ class Idf:
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if zone.Name == usage_zone.id:
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return
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# todo: what does we need to define a zone in energy plus?
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self._idf.newidfobject(self._ZONE, Name=usage_zone.id)
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self._idf.newidfobject(self._ZONE, Name=usage_zone.id, Volume=usage_zone.volume)
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self._add_heating_system(usage_zone)
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def _add_thermostat(self, usage_zone):
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@ -166,9 +176,9 @@ class Idf:
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if air_system.Zone_Name == usage_zone.id:
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return
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thermostat = self._add_thermostat(usage_zone)
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# todo: doesn't the air system have name?
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self._idf.newidfobject(self._IDEAL_LOAD_AIR_SYSTEM,
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Zone_Name=usage_zone.id,
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Cooling_Availability_Schedule_Name=f'Refrigeration schedules {usage_zone.usage}',
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Template_Thermostat_Name=thermostat.Name)
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def _add_occupancy(self, usage_zone):
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@ -193,6 +203,8 @@ class Idf:
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def _add_infiltration(self, usage_zone):
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for zone in self._idf.idfobjects["ZONE"]:
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if zone.Name == f'{usage_zone.id}_infiltration':
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return
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self._idf.newidfobject(self._INFILTRATION,
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Name=f'{usage_zone.id}_infiltration',
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Zone_or_ZoneList_Name=usage_zone.id,
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@ -215,14 +227,17 @@ class Idf:
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self._add_schedule(usage_zone, "Infiltration")
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self._add_schedule(usage_zone, "Lights")
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self._add_schedule(usage_zone, "Occupancy")
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self._add_schedule(usage_zone, "Refrigeration", self._ON_OFF)
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self._add_zone(usage_zone)
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self._add_heating_system(usage_zone)
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# self._add_infiltration(usage_zone)
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# self._add_occupancy(usage_zone)
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for thermal_zone in building.thermal_zones:
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for thermal_boundary in thermal_zone.bounded:
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self._add_construction(thermal_boundary)
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if self._export_type == "Surfaces":
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print(len(building.surfaces))
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self._add_surfaces(building)
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else:
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self._add_block(building)
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@ -249,10 +264,11 @@ class Idf:
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def _add_surfaces(self, building):
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for thermal_zone in building.thermal_zones:
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for boundary in thermal_zone.bounded:
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idf_surface = self.idf_surfaces[boundary.surface.type]
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idf_surface_type = self.idf_surfaces[boundary.surface.type]
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for usage_zone in thermal_zone.usage_zones:
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surface = self._idf.newidfobject(self._SURFACE, Name=f'{boundary.surface.name}',
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Surface_Type=idf_surface, Zone_Name=usage_zone.id,
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Surface_Type=idf_surface_type, Zone_Name=usage_zone.id,
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Construction_Name=boundary.construction_name)
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coordinates = self._matrix_to_list(boundary.surface.solid_polygon.coordinates)
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surface.setcoords(coordinates)
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@ -1,105 +0,0 @@
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import pandas as pd
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from imports.schedules.helpers.schedules_helper import SchedulesHelper
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import parseidf
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class IDFParser:
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_OCCUPANCY_SCHEDULE = ("BLDG_OCC_SCH_wo_SB", "Occupancy")
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_Activity_Schedule = "ACTIVITY_SCH"
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_Electrical_Equipent_Schedule = "BLDG_EQUIP_SCH"
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_Lighting_Schedule = "BLDG_LIGHT_SCH"
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_Infiltration_Ventilation_Schedule = "INFIL_QUARTER_ON_SCH"
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def __init__(self, city, base_path):
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self._city = city
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self._idf_schedules_path = base_path / 'ASHRAE901_OfficeSmall_STD2019_Buffalo.idf'
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with open(self._idf_schedules_path, 'r') as f:
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idf = parseidf.parse(f.read())
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print(idf.keys()) # lists the object types in the idf file
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print(idf['SCHEDULE:COMPACT']) # lists all the Output:Variable objects in the idf file
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Holiday = []
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Winterdesignday = []
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Summerdesignday = []
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Customday1 = []
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Customday2 = []
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Weekday = []
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Weekend = []
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dayType = []
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compactKeywords = ['Weekdays', 'Weekends', 'Alldays', 'AllOtherDays', 'Sunday', 'Monday', 'Tuesday', 'Wednesday',
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'Thursday', 'Friday', 'Saturday', 'Holiday', 'Winterdesignday', 'Summerdesignday', 'Customday1',
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'Customday2']
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for val in idf['SCHEDULE:COMPACT']:
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if val[1] == 'BLDG_LIGHT_SCH':
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count = 0
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for words in val:
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dayType.append(words.title().split('For: ')[-1])
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index = []
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for count, word_dayType in enumerate(dayType):
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if word_dayType in compactKeywords:
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index.append(count)
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index.append(len(dayType))
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for i in range(len(index) - 1):
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numberOfDaySch = list(dayType[index[i] + 1:index[i + 1]])
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hourlyValues = list(range(24))
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startHour = 0
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for num in range(int(len(numberOfDaySch) / 2)):
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untilTime = list(map(int, (numberOfDaySch[2 * num].split('Until: ')[-1]).split(":")[0:]))
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endHour = int(untilTime[0] + untilTime[1] / 60)
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value = float(numberOfDaySch[2 * num + 1])
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for hour in range(startHour, endHour):
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hourlyValues[hour] = value
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print(hour, value)
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startHour = endHour
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if dayType[index[i]] == 'Weekdays':
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Weekday.append(hourlyValues)
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elif dayType[index[i]] == 'Weekends':
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Weekend.append(hourlyValues)
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elif dayType[index[i]] == 'Holiday':
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Holiday.append(hourlyValues)
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elif dayType[index[i]] == 'Winterdesignday':
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Winterdesignday.append(hourlyValues)
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elif dayType[index[i]] == 'Summerdesignday':
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Summerdesignday.append(hourlyValues)
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elif dayType[index[i]] == 'Customday1':
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Customday1.append(hourlyValues)
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elif dayType[index[i]] == 'Customday2':
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Customday2.append(hourlyValues)
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else:
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print('its none of them')
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idf_schedules = pd.DataFrame(
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{'week_day': Weekday,
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'Weekends': Weekend,
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'Holiday': Holiday,
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'Winterdesignday': Winterdesignday,
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'Summerdesignday': Summerdesignday,
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'Customday1': Customday1,
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'Customday2': Customday2,
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})
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print(idf_schedules)
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for building in city.buildings:
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schedules = dict()
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for usage_zone in building.usage_zones:
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usage_schedules = idf_schedules
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# todo: should we save the data type? How?
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number_of_schedule_types = 5
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schedules_per_schedule_type = 6
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idf_day_types = dict({'week_day': 0, 'Weekends': 1, 'Holiday': 2, 'Winterdesignday': 3, 'Summerdesignday': 4, 'Customday1': 5, 'Customday2': 6})
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for schedule_types in range(0, number_of_schedule_types):
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data = pd.DataFrame()
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columns_names = []
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name = ''
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for schedule_day in range(0, len(idf_schedules)):
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row_cells = usage_schedules.iloc[schedules_per_schedule_type*schedule_types + schedule_day]
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if schedule_day == idf_day_types['week_day']:
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name = row_cells[0]
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columns_names.append(row_cells[2])
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data1 = row_cells[schedules_per_schedule_type:]
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data = pd.concat([data, data1], axis=1)
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data.columns = columns_names
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schedules[name] = data
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usage_zone.schedules = schedules
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@ -6,6 +6,7 @@ Copyright © 2020 Project Author Guille Gutierrez guillermo.gutierrezmorote@conc
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from pathlib import Path
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from imports.schedules.comnet_schedules_parameters import ComnetSchedules
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from imports.schedules.doe_idf import DoeIdf
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class SchedulesFactory:
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@ -20,6 +21,10 @@ class SchedulesFactory:
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def _comnet(self):
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ComnetSchedules(self._city, self._base_path)
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def _doe_idf(self):
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print('Idf handler call')
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DoeIdf(self._city, self._base_path)
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def enrich(self):
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"""
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Enrich the city with the schedules information
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@ -41,6 +41,7 @@ class CaUsageParameters(HftUsageInterface):
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# just one usage_zone
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for thermal_zone in building.thermal_zones:
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usage_zone = UsageZone()
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usage_zone.volume = thermal_zone.volume
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self._assign_values(usage_zone, archetype)
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thermal_zone.usage_zones = [usage_zone]
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@ -12,3 +12,5 @@ PyWavefront~=1.3.3
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xlrd~=2.0.1
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openpyxl~=3.0.7
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networkx~=2.5.1
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parseidf~=1.0.0
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ply~=3.11
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@ -13,7 +13,7 @@
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! HVAC: None.
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!
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Version,9.4;
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Version,9.5;
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Timestep,4;
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@ -148,4 +148,3 @@
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Output:Table:SummaryReports,
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AllSummary; !- Report 1 Name
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