""" Comnet usage catalog SPDX - License - Identifier: LGPL - 3.0 - or -later Copyright © 2022 Concordia CERC group Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca """ from typing import Dict import numpy import pandas as pd from catalog_factories.catalog import Catalog from catalog_factories.data_models.usages.content import Content from catalog_factories.data_models.usages.lighting import Lighting from catalog_factories.usage.usage_helper import UsageHelper from helpers.configuration_helper import ConfigurationHelper as ch import helpers.constants as cte class ComnetCatalog(Catalog): def __init__(self, path): self._comnet_archetypes_path = str(path / 'comnet_archetypes.xlsx') self._comnet_schedules_path = str(path / 'comnet_schedules_archetypes.xlsx') self._archetypes = self._read_archetype_file() self._schedules = self._read_schedules_file() self._schedules = pd.ExcelFile(self._comnet_schedules_path) print(self._archetypes, self._schedules) def _read_schedules_file(self) -> Dict: dictionary = {} comnet_usages = UsageHelper().comnet_schedules_key_to_comnet_schedules comnet_days = UsageHelper().comnet_days for usage_name in comnet_usages: _extracted_data = pd.read_excel(self._comnet_schedules_path, sheet_name=comnet_usages[usage_name], skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA") _schedules = {} for row in range(0, 39, 3): _schedule_values = {} schedule_name = _extracted_data.loc[row:row, 'Description'].item() for day in comnet_days: start = row end = row+1 if day == cte.SATURDAY: start = start+1 end = end+1 elif day == cte.SUNDAY or day == cte.HOLIDAY: start = start + 2 end = end + 2 _schedule_values[day] = _extracted_data.iloc[start:end, 3:26].to_numpy().tolist()[0] _schedules[schedule_name] = _schedule_values dictionary[usage_name] = _schedules print(dictionary) return dictionary def _read_archetype_file(self) -> Dict: """ reads xlsx files containing usage information into a dictionary :return : Dict """ number_usage_types = 33 xl_file = pd.ExcelFile(self._comnet_archetypes_path) file_data = pd.read_excel(xl_file, sheet_name="Modeling Data", skiprows=[0, 1, 2], nrows=number_usage_types, usecols="A:AB") lighting_data = {} plug_loads_data = {} occupancy_data = {} ventilation_rate = {} water_heating = {} process_data = {} schedules_key = {} for j in range(0, number_usage_types): usage_parameters = file_data.iloc[j] usage_type = usage_parameters[0] lighting_data[usage_type] = usage_parameters[1:6].values.tolist() plug_loads_data[usage_type] = usage_parameters[8:13].values.tolist() occupancy_data[usage_type] = usage_parameters[17:20].values.tolist() ventilation_rate[usage_type] = usage_parameters[20:21].values.tolist() water_heating[usage_type] = usage_parameters[23:24].values.tolist() process_data[usage_type] = usage_parameters[24:26].values.tolist() schedules_key[usage_type] = usage_parameters[27:28].values.tolist() return {'lighting': lighting_data, 'plug loads': plug_loads_data, 'occupancy': occupancy_data, 'ventilation rate': ventilation_rate, 'water heating': water_heating, 'process': process_data, 'schedules_key': schedules_key} @staticmethod def _calculate_reduced_values_from_extended_library(usage_zone, archetype): number_of_days_per_type = {'WD': 251, 'Sat': 52, 'Sun': 62} total = 0 for schedule in archetype.thermal_control.hvac_availability_schedules: if schedule.day_types[0] == cte.SATURDAY: for value in schedule.values: total += value * number_of_days_per_type['Sat'] elif schedule.day_types[0] == cte.SUNDAY: for value in schedule.values: total += value * number_of_days_per_type['Sun'] else: for value in schedule.values: total += value * number_of_days_per_type['WD'] usage_zone.hours_day = total / 365 usage_zone.days_year = 365 @staticmethod def _parse_usage_type(comnet_usage, data, schedules_data): _usage_zone = UsageZone() # lighting latent_fraction = ch().comnet_lighting_latent convective_fraction = ch().comnet_lighting_convective radiative_fraction = ch().comnet_lighting_radiant density = data['lighting'][comnet_usage][4] _lighting = Lighting(density, convective_fraction, radiative_fraction, latent_fraction, schedules) # plug loads _appliances = None if data['plug loads'][comnet_usage][0] != 'n.a.': _appliances = Appliances() _appliances.latent_fraction = ch().comnet_plugs_latent _appliances.convective_fraction = ch().comnet_plugs_convective _appliances.radiative_fraction = ch().comnet_plugs_radiant _appliances.density = data['plug loads'][comnet_usage][0] # occupancy _occupancy = Occupancy() value = data['occupancy'][comnet_usage][0] if value != 0: _occupancy.occupancy_density = value else: _occupancy.occupancy_density = 0 _occupancy.sensible_convective_internal_gain = data['occupancy'][comnet_usage][1] \ * ch().comnet_occupancy_sensible_convective _occupancy.sensible_radiative_internal_gain = data['occupancy'][comnet_usage][1] \ * ch().comnet_occupancy_sensible_radiant _occupancy.latent_internal_gain = data['occupancy'][comnet_usage][2] _usage_zone.mechanical_air_change = data['ventilation rate'][comnet_usage][0] schedules_usage = UsageHelper.schedules_key(data['schedules_key'][comnet_usage][0]) _extracted_data = pd.read_excel(schedules_data, sheet_name=schedules_usage, skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA") schedules = [] number_of_schedule_types = 13 schedules_per_schedule_type = 3 day_types = dict({'week_day': 0, 'saturday': 1, 'sunday': 2}) for schedule_types in range(0, number_of_schedule_types): name = '' data_type = '' for schedule_day in range(0, schedules_per_schedule_type): _schedule = Schedule() _schedule.time_step = cte.HOUR _schedule.time_range = cte.DAY row_cells = _extracted_data.iloc[schedules_per_schedule_type * schedule_types + schedule_day] if schedule_day == day_types['week_day']: name = row_cells[0] data_type = row_cells[1] _schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY] elif schedule_day == day_types['saturday']: _schedule.day_types = [cte.SATURDAY] else: _schedule.day_types = [cte.SUNDAY, cte.HOLIDAY] _schedule.type = name _schedule.data_type = SchedulesHelper.data_type_from_comnet(data_type) if _schedule.data_type == cte.TEMPERATURE: values = [] for cell in row_cells[schedules_per_schedule_type:].to_numpy(): values.append((float(cell) - 32.) * 5 / 9) _schedule.values = values else: _schedule.values = row_cells[schedules_per_schedule_type:].to_numpy() schedules.append(_schedule) schedules_types = dict({'Occupancy': 0, 'Lights': 3, 'Receptacle': 6, 'Infiltration': 9, 'HVAC Avail': 12, 'ClgSetPt': 15, 'HtgSetPt': 18}) _schedules = [] for pointer in range(0, 3): _schedules.append(schedules[schedules_types['Occupancy'] + pointer]) _occupancy.occupancy_schedules = _schedules _schedules = [] for pointer in range(0, 3): _schedules.append(schedules[schedules_types['Lights'] + pointer]) _lighting.schedules = _schedules _schedules = [] for pointer in range(0, 3): _schedules.append(schedules[schedules_types['Receptacle'] + pointer]) _appliances.schedules = _schedules _usage_zone.occupancy = _occupancy _usage_zone.lighting = _lighting _usage_zone.appliances = _appliances _control = ThermalControl() _schedules = [] for pointer in range(0, 3): _schedules.append(schedules[schedules_types['HtgSetPt'] + pointer]) _control.heating_set_point_schedules = _schedules _schedules = [] for pointer in range(0, 3): _schedules.append(schedules[schedules_types['ClgSetPt'] + pointer]) _control.cooling_set_point_schedules = _schedules _schedules = [] for pointer in range(0, 3): _schedules.append(schedules[schedules_types['HVAC Avail'] + pointer]) _control.hvac_availability_schedules = _schedules _usage_zone.thermal_control = _control return _usage_zone def _search_archetypes(self, libs_usage): for item in self._data['lighting']: comnet_usage = UsageHelper.comnet_from_libs_usage(libs_usage) if comnet_usage == item: usage_archetype = self._parse_usage_type(comnet_usage, self._data, self._xls) return usage_archetype return None def enrich_buildings(self): """ Returns the city with the usage parameters assigned to the buildings :return: """ city = self._city for building in city.buildings: usage = GeometryHelper.libs_usage_from_libs_function(building.function) try: archetype_usage = self._search_archetypes(usage) except KeyError: sys.stderr.write(f'Building {building.name} has unknown archetype for building function:' f' {building.function}, that assigns building usage as ' f'{GeometryHelper.libs_usage_from_libs_function(building.function)}\n') return for internal_zone in building.internal_zones: if internal_zone.area is None: raise Exception('Internal zone area not defined, ACH cannot be calculated') if internal_zone.volume is None: raise Exception('Internal zone volume not defined, ACH cannot be calculated') if internal_zone.area <= 0: raise Exception('Internal zone area is zero, ACH cannot be calculated') if internal_zone.volume <= 0: raise Exception('Internal zone volume is zero, ACH cannot be calculated') volume_per_area = internal_zone.volume / internal_zone.area usage_zone = UsageZone() usage_zone.usage = usage self._assign_values_usage_zone(usage_zone, archetype_usage, volume_per_area) usage_zone.percentage = 1 self._calculate_reduced_values_from_extended_library(usage_zone, archetype_usage) internal_zone.usage_zones = [usage_zone] @staticmethod def _assign_values_usage_zone(usage_zone, archetype, volume_per_area): # Due to the fact that python is not a strong typed language, the wrong object type is assigned to # usage_zone.occupancy when writing usage_zone.occupancy = archetype.occupancy. # Same happens for lighting and appliances. Therefore, this walk around has been done. usage_zone.mechanical_air_change = archetype.mechanical_air_change * cte.METERS_TO_FEET ** 2 \ * cte.HOUR_TO_MINUTES / cte.METERS_TO_FEET ** 3 / volume_per_area _occupancy = Occupancy() _occupancy.occupancy_density = archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2 _occupancy.sensible_radiative_internal_gain = archetype.occupancy.sensible_radiative_internal_gain \ * archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2 \ * cte.BTU_H_TO_WATTS _occupancy.latent_internal_gain = archetype.occupancy.latent_internal_gain \ * archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2 \ * cte.BTU_H_TO_WATTS _occupancy.sensible_convective_internal_gain = archetype.occupancy.sensible_convective_internal_gain \ * archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2 \ * cte.BTU_H_TO_WATTS _occupancy.occupancy_schedules = archetype.occupancy.occupancy_schedules usage_zone.occupancy = _occupancy _lighting = Lighting() _lighting.density = archetype.lighting.density / cte.METERS_TO_FEET ** 2 _lighting.convective_fraction = archetype.lighting.convective_fraction _lighting.radiative_fraction = archetype.lighting.radiative_fraction _lighting.latent_fraction = archetype.lighting.latent_fraction _lighting.schedules = archetype.lighting.schedules usage_zone.lighting = _lighting _appliances = Appliances() _appliances.density = archetype.appliances.density / cte.METERS_TO_FEET ** 2 _appliances.convective_fraction = archetype.appliances.convective_fraction _appliances.radiative_fraction = archetype.appliances.radiative_fraction _appliances.latent_fraction = archetype.appliances.latent_fraction _appliances.schedules = archetype.appliances.schedules usage_zone.appliances = _appliances _control = ThermalControl() _control.cooling_set_point_schedules = archetype.thermal_control.cooling_set_point_schedules _control.heating_set_point_schedules = archetype.thermal_control.heating_set_point_schedules _control.hvac_availability_schedules = archetype.thermal_control.hvac_availability_schedules usage_zone.thermal_control = _control def names(self, category=None): pass def entries(self, category=None): pass def get_entry(self, name): pass