partial parser for data sources
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@ -6,14 +6,18 @@ Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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"""
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from typing import Dict
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import numpy
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import pandas as pd
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import helpers.constants as cte
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from catalog_factories.catalog import Catalog
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from catalog_factories.data_models.usages.content import Content
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from catalog_factories.data_models.usages.appliances import Appliances
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from catalog_factories.data_models.usages.lighting import Lighting
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from catalog_factories.data_models.usages.ocupancy import Occupancy
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from catalog_factories.data_models.usages.schedule import Schedule
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from catalog_factories.data_models.usages.thermal_control import ThermalControl
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from catalog_factories.data_models.usages.usage import Usage
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from catalog_factories.usage.usage_helper import UsageHelper
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from helpers.configuration_helper import ConfigurationHelper as ch
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import helpers.constants as cte
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class ComnetCatalog(Catalog):
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@ -22,22 +26,87 @@ class ComnetCatalog(Catalog):
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self._comnet_schedules_path = str(path / 'comnet_schedules_archetypes.xlsx')
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self._archetypes = self._read_archetype_file()
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self._schedules = self._read_schedules_file()
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self._schedules = pd.ExcelFile(self._comnet_schedules_path)
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sensible_convective = ch().comnet_occupancy_sensible_convective
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sensible_radiative = ch().comnet_occupancy_sensible_radiant
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lighting_convective = ch().comnet_lighting_convective
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lighting_radiative = ch().comnet_lighting_radiant
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lighting_latent = ch().comnet_lighting_latent
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appliances_convective = ch().comnet_plugs_convective
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appliances_radiative = ch().comnet_plugs_radiant
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appliances_latent = ch().comnet_plugs_latent
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for schedule_key in self._archetypes['schedules_key']:
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comnet_usage = schedule_key
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schedule_name = self._archetypes['schedules_key'][schedule_key]
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hours_day = self._calculate_hours_day(schedule_name)
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occupancy_archetype = self._archetypes['occupancy'][comnet_usage]
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lighting_archetype = self._archetypes['lighting'][comnet_usage]
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appliances_archetype = self._archetypes['plug loads'][comnet_usage]
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print(self._archetypes, self._schedules)
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# get occupancy
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occupancy_density = occupancy_archetype[0]
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sensible_heat_gain = occupancy_archetype[1]
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latent_heat_gain = occupancy_archetype[1]
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if occupancy_density != 0:
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occupancy_density = 1 / occupancy_density
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sensible_convective_internal_gain = occupancy_density * sensible_heat_gain * sensible_convective
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sensible_radiative_internal_gain = occupancy_density * sensible_heat_gain * sensible_radiative
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latent_internal_gain = occupancy_density * latent_heat_gain
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occupancy = Occupancy(occupancy_density,
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sensible_convective_internal_gain,
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sensible_radiative_internal_gain,
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latent_internal_gain,
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self._schedules[schedule_name]['Occupancy'])
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# get lighting
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density = lighting_archetype[4]
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lighting = Lighting(density,
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lighting_convective,
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lighting_radiative,
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lighting_latent,
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self._schedules[schedule_name]['Lights'])
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# get appliances
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density = appliances_archetype[0]
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appliances = Appliances(density,
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appliances_convective,
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appliances_radiative,
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appliances_latent,
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self._schedules[schedule_name]['Receptacle'])
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# get thermal control
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max_heating_setpoint = -1
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min_heating_setpoint = 50
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for schedule in self._schedules[schedule_name]['HtgSetPt']:
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if max(schedule) > max_heating_setpoint:
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max_heating_setpoint = max(schedule)
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if min(schedule) < min_heating_setpoint:
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min_heating_setpoint = min(schedule)
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min_cooling_setpoint = 50
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for schedule in self._schedules[schedule_name]['ClgSetPt']:
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if max(schedule) > min_cooling_setpoint:
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min_cooling_setpoint = max(schedule)
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thermal_control = ThermalControl(max_heating_setpoint, min_heating_setpoint, )
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usage = Usage(comnet_usage, hours_day, 365, None, occupancy, lighting, appliances, thermal_control)
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# usage = Usage(usage_type)
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def _read_schedules_file(self) -> Dict:
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dictionary = {}
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comnet_usages = UsageHelper().comnet_schedules_key_to_comnet_schedules
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comnet_days = UsageHelper().comnet_days
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comnet_data_types = UsageHelper().comnet_data_type_to_hub_data_type
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for usage_name in comnet_usages:
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if usage_name == 'C-13 Data Center':
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continue
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_extracted_data = pd.read_excel(self._comnet_schedules_path, sheet_name=comnet_usages[usage_name],
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skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA")
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_schedules = {}
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for row in range(0, 39, 3):
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_schedule_values = {}
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schedule_name = _extracted_data.loc[row:row, 'Description'].item()
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schedule_data_type = comnet_data_types[_extracted_data.loc[row:row, 'Type'].item()]
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for day in comnet_days:
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# Monday to Friday
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start = row
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end = row + 1
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if day == cte.SATURDAY:
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@ -47,9 +116,11 @@ class ComnetCatalog(Catalog):
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start = start + 2
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end = end + 2
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_schedule_values[day] = _extracted_data.iloc[start:end, 3:26].to_numpy().tolist()[0]
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_schedules[schedule_name] = _schedule_values
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_schedule = []
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for day in _schedule_values:
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_schedule.append(Schedule(schedule_name, _schedule_values[day], schedule_data_type, cte.HOUR, cte.DAY, [day]))
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_schedules[schedule_name] = _schedule
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dictionary[usage_name] = _schedules
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print(dictionary)
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return dictionary
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def _read_archetype_file(self) -> Dict:
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@ -76,10 +147,10 @@ class ComnetCatalog(Catalog):
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lighting_data[usage_type] = usage_parameters[1:6].values.tolist()
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plug_loads_data[usage_type] = usage_parameters[8:13].values.tolist()
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occupancy_data[usage_type] = usage_parameters[17:20].values.tolist()
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ventilation_rate[usage_type] = usage_parameters[20:21].values.tolist()
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water_heating[usage_type] = usage_parameters[23:24].values.tolist()
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ventilation_rate[usage_type] = usage_parameters[20:21].item()
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water_heating[usage_type] = usage_parameters[23:24].item()
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process_data[usage_type] = usage_parameters[24:26].values.tolist()
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schedules_key[usage_type] = usage_parameters[27:28].values.tolist()
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schedules_key[usage_type] = usage_parameters[27:28].item()
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return {'lighting': lighting_data,
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'plug loads': plug_loads_data,
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@ -87,221 +158,18 @@ class ComnetCatalog(Catalog):
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'ventilation rate': ventilation_rate,
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'water heating': water_heating,
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'process': process_data,
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'schedules_key': schedules_key}
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'schedules_key': schedules_key
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}
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@staticmethod
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def _calculate_reduced_values_from_extended_library(usage_zone, archetype):
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number_of_days_per_type = {'WD': 251, 'Sat': 52, 'Sun': 62}
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def _calculate_hours_day(self, function):
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days = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY, cte.HOLIDAY]
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number_of_days_per_type = [51, 50, 50, 50, 50, 52, 52, 10]
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total = 0
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for schedule in archetype.thermal_control.hvac_availability_schedules:
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if schedule.day_types[0] == cte.SATURDAY:
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for schedule in self._schedules[function]['HVAC Avail']:
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yearly_days = number_of_days_per_type[days.index(schedule.day_types[0])]
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for value in schedule.values:
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total += value * number_of_days_per_type['Sat']
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elif schedule.day_types[0] == cte.SUNDAY:
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for value in schedule.values:
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total += value * number_of_days_per_type['Sun']
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else:
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for value in schedule.values:
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total += value * number_of_days_per_type['WD']
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usage_zone.hours_day = total / 365
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usage_zone.days_year = 365
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@staticmethod
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def _parse_usage_type(comnet_usage, data, schedules_data):
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_usage_zone = UsageZone()
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# lighting
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latent_fraction = ch().comnet_lighting_latent
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convective_fraction = ch().comnet_lighting_convective
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radiative_fraction = ch().comnet_lighting_radiant
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density = data['lighting'][comnet_usage][4]
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_lighting = Lighting(density, convective_fraction, radiative_fraction, latent_fraction, schedules)
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# plug loads
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_appliances = None
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if data['plug loads'][comnet_usage][0] != 'n.a.':
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_appliances = Appliances()
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_appliances.latent_fraction = ch().comnet_plugs_latent
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_appliances.convective_fraction = ch().comnet_plugs_convective
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_appliances.radiative_fraction = ch().comnet_plugs_radiant
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_appliances.density = data['plug loads'][comnet_usage][0]
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# occupancy
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_occupancy = Occupancy()
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value = data['occupancy'][comnet_usage][0]
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if value != 0:
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_occupancy.occupancy_density = value
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else:
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_occupancy.occupancy_density = 0
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_occupancy.sensible_convective_internal_gain = data['occupancy'][comnet_usage][1] \
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* ch().comnet_occupancy_sensible_convective
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_occupancy.sensible_radiative_internal_gain = data['occupancy'][comnet_usage][1] \
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* ch().comnet_occupancy_sensible_radiant
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_occupancy.latent_internal_gain = data['occupancy'][comnet_usage][2]
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_usage_zone.mechanical_air_change = data['ventilation rate'][comnet_usage][0]
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schedules_usage = UsageHelper.schedules_key(data['schedules_key'][comnet_usage][0])
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_extracted_data = pd.read_excel(schedules_data, sheet_name=schedules_usage,
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skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA")
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schedules = []
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number_of_schedule_types = 13
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schedules_per_schedule_type = 3
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day_types = dict({'week_day': 0, 'saturday': 1, 'sunday': 2})
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for schedule_types in range(0, number_of_schedule_types):
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name = ''
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data_type = ''
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for schedule_day in range(0, schedules_per_schedule_type):
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_schedule = Schedule()
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_schedule.time_step = cte.HOUR
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_schedule.time_range = cte.DAY
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row_cells = _extracted_data.iloc[schedules_per_schedule_type * schedule_types + schedule_day]
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if schedule_day == day_types['week_day']:
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name = row_cells[0]
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data_type = row_cells[1]
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_schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY]
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elif schedule_day == day_types['saturday']:
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_schedule.day_types = [cte.SATURDAY]
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else:
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_schedule.day_types = [cte.SUNDAY, cte.HOLIDAY]
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_schedule.type = name
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_schedule.data_type = SchedulesHelper.data_type_from_comnet(data_type)
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if _schedule.data_type == cte.TEMPERATURE:
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values = []
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for cell in row_cells[schedules_per_schedule_type:].to_numpy():
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values.append((float(cell) - 32.) * 5 / 9)
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_schedule.values = values
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else:
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_schedule.values = row_cells[schedules_per_schedule_type:].to_numpy()
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schedules.append(_schedule)
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schedules_types = dict({'Occupancy': 0, 'Lights': 3, 'Receptacle': 6, 'Infiltration': 9, 'HVAC Avail': 12,
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'ClgSetPt': 15, 'HtgSetPt': 18})
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_schedules = []
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for pointer in range(0, 3):
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_schedules.append(schedules[schedules_types['Occupancy'] + pointer])
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_occupancy.occupancy_schedules = _schedules
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_schedules = []
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for pointer in range(0, 3):
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_schedules.append(schedules[schedules_types['Lights'] + pointer])
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_lighting.schedules = _schedules
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_schedules = []
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for pointer in range(0, 3):
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_schedules.append(schedules[schedules_types['Receptacle'] + pointer])
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_appliances.schedules = _schedules
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_usage_zone.occupancy = _occupancy
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_usage_zone.lighting = _lighting
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_usage_zone.appliances = _appliances
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_control = ThermalControl()
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_schedules = []
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for pointer in range(0, 3):
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_schedules.append(schedules[schedules_types['HtgSetPt'] + pointer])
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_control.heating_set_point_schedules = _schedules
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_schedules = []
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for pointer in range(0, 3):
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_schedules.append(schedules[schedules_types['ClgSetPt'] + pointer])
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_control.cooling_set_point_schedules = _schedules
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_schedules = []
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for pointer in range(0, 3):
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_schedules.append(schedules[schedules_types['HVAC Avail'] + pointer])
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_control.hvac_availability_schedules = _schedules
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_usage_zone.thermal_control = _control
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return _usage_zone
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def _search_archetypes(self, libs_usage):
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for item in self._data['lighting']:
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comnet_usage = UsageHelper.comnet_from_libs_usage(libs_usage)
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if comnet_usage == item:
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usage_archetype = self._parse_usage_type(comnet_usage, self._data, self._xls)
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return usage_archetype
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return None
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def enrich_buildings(self):
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"""
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Returns the city with the usage parameters assigned to the buildings
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:return:
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"""
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city = self._city
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for building in city.buildings:
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usage = GeometryHelper.libs_usage_from_libs_function(building.function)
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try:
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archetype_usage = self._search_archetypes(usage)
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except KeyError:
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sys.stderr.write(f'Building {building.name} has unknown archetype for building function:'
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f' {building.function}, that assigns building usage as '
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f'{GeometryHelper.libs_usage_from_libs_function(building.function)}\n')
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return
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for internal_zone in building.internal_zones:
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if internal_zone.area is None:
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raise Exception('Internal zone area not defined, ACH cannot be calculated')
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if internal_zone.volume is None:
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raise Exception('Internal zone volume not defined, ACH cannot be calculated')
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if internal_zone.area <= 0:
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raise Exception('Internal zone area is zero, ACH cannot be calculated')
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if internal_zone.volume <= 0:
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raise Exception('Internal zone volume is zero, ACH cannot be calculated')
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volume_per_area = internal_zone.volume / internal_zone.area
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usage_zone = UsageZone()
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usage_zone.usage = usage
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self._assign_values_usage_zone(usage_zone, archetype_usage, volume_per_area)
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usage_zone.percentage = 1
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self._calculate_reduced_values_from_extended_library(usage_zone, archetype_usage)
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internal_zone.usage_zones = [usage_zone]
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@staticmethod
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def _assign_values_usage_zone(usage_zone, archetype, volume_per_area):
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# Due to the fact that python is not a strong typed language, the wrong object type is assigned to
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# usage_zone.occupancy when writing usage_zone.occupancy = archetype.occupancy.
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# Same happens for lighting and appliances. Therefore, this walk around has been done.
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usage_zone.mechanical_air_change = archetype.mechanical_air_change * cte.METERS_TO_FEET ** 2 \
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* cte.HOUR_TO_MINUTES / cte.METERS_TO_FEET ** 3 / volume_per_area
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_occupancy = Occupancy()
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_occupancy.occupancy_density = archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2
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_occupancy.sensible_radiative_internal_gain = archetype.occupancy.sensible_radiative_internal_gain \
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* archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2 \
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* cte.BTU_H_TO_WATTS
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_occupancy.latent_internal_gain = archetype.occupancy.latent_internal_gain \
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* archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2 \
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* cte.BTU_H_TO_WATTS
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_occupancy.sensible_convective_internal_gain = archetype.occupancy.sensible_convective_internal_gain \
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* archetype.occupancy.occupancy_density / cte.METERS_TO_FEET ** 2 \
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* cte.BTU_H_TO_WATTS
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_occupancy.occupancy_schedules = archetype.occupancy.occupancy_schedules
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usage_zone.occupancy = _occupancy
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_lighting = Lighting()
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_lighting.density = archetype.lighting.density / cte.METERS_TO_FEET ** 2
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_lighting.convective_fraction = archetype.lighting.convective_fraction
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_lighting.radiative_fraction = archetype.lighting.radiative_fraction
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_lighting.latent_fraction = archetype.lighting.latent_fraction
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_lighting.schedules = archetype.lighting.schedules
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usage_zone.lighting = _lighting
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_appliances = Appliances()
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_appliances.density = archetype.appliances.density / cte.METERS_TO_FEET ** 2
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_appliances.convective_fraction = archetype.appliances.convective_fraction
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_appliances.radiative_fraction = archetype.appliances.radiative_fraction
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_appliances.latent_fraction = archetype.appliances.latent_fraction
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_appliances.schedules = archetype.appliances.schedules
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usage_zone.appliances = _appliances
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_control = ThermalControl()
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_control.cooling_set_point_schedules = archetype.thermal_control.cooling_set_point_schedules
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_control.heating_set_point_schedules = archetype.thermal_control.heating_set_point_schedules
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_control.hvac_availability_schedules = archetype.thermal_control.hvac_availability_schedules
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usage_zone.thermal_control = _control
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total += value * yearly_days
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return total / 365
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def names(self, category=None):
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pass
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@ -35,21 +35,17 @@ class UsageHelper:
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cte.SPORTS_LOCATION: 'sport location',
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cte.LABOR: 'Labor',
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cte.GREEN_HOUSE: 'green house',
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cte.NON_HEATED: 'non-heated'}
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cte.NON_HEATED: 'non-heated'
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def hft_from_hub_usage(usage):
|
||||
"""
|
||||
Get HfT usage from the given internal usage key
|
||||
:param usage: str
|
||||
:return: str
|
||||
"""
|
||||
try:
|
||||
return UsageHelper._usage_to_hft[usage]
|
||||
except KeyError:
|
||||
sys.stderr.write('Error: keyword not found to translate from hub_usage to hft usage.\n')
|
||||
|
||||
_comnet_days = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY, cte.SUNDAY, cte.HOLIDAY]
|
||||
_comnet_days = [cte.MONDAY,
|
||||
cte.TUESDAY,
|
||||
cte.WEDNESDAY,
|
||||
cte.THURSDAY,
|
||||
cte.FRIDAY,
|
||||
cte.SATURDAY,
|
||||
cte.SUNDAY,
|
||||
cte.HOLIDAY]
|
||||
|
||||
_usage_to_comnet = {
|
||||
cte.RESIDENTIAL: 'BA Multifamily',
|
||||
|
@ -76,6 +72,12 @@ class UsageHelper:
|
|||
cte.NON_HEATED: cte.NON_HEATED
|
||||
}
|
||||
|
||||
_comnet_data_type_to_hub_data_type = {
|
||||
'Fraction': cte.FRACTION,
|
||||
'OnOff': cte.ON_OFF,
|
||||
'Temperature': cte.TEMPERATURE
|
||||
}
|
||||
|
||||
_comnet_schedules_key_to_comnet_schedules = {
|
||||
'C-1 Assembly': 'C-1 Assembly',
|
||||
'C-2 Public': 'C-2 Health',
|
||||
|
@ -90,7 +92,12 @@ class UsageHelper:
|
|||
'C-11 Laboratory': 'C-11 Lab',
|
||||
'C-12 Residential': 'C-12 Residential',
|
||||
'C-13 Data Center': 'C-13 Data',
|
||||
'C-14 Gymnasium': 'C-14 Gymnasium'}
|
||||
'C-14 Gymnasium': 'C-14 Gymnasium'
|
||||
}
|
||||
|
||||
@property
|
||||
def comnet_data_type_to_hub_data_type(self):
|
||||
return self._comnet_data_type_to_hub_data_type
|
||||
|
||||
@property
|
||||
def comnet_schedules_key_to_comnet_schedules(self) -> Dict:
|
||||
|
@ -124,3 +131,15 @@ class UsageHelper:
|
|||
except KeyError:
|
||||
sys.stderr.write('Error: Comnet keyword not found. An update of the Comnet files might have been '
|
||||
'done changing the keywords.\n')
|
||||
|
||||
@staticmethod
|
||||
def hft_from_hub_usage(usage):
|
||||
"""
|
||||
Get HfT usage from the given internal usage key
|
||||
:param usage: str
|
||||
:return: str
|
||||
"""
|
||||
try:
|
||||
return UsageHelper._usage_to_hft[usage]
|
||||
except KeyError:
|
||||
sys.stderr.write('Error: keyword not found to translate from hub_usage to hft usage.\n')
|
||||
|
|
|
@ -89,6 +89,22 @@ class UsageHelper:
|
|||
'C-13 Data Center': 'C-13 Data',
|
||||
'C-14 Gymnasium': 'C-14 Gymnasium'}
|
||||
|
||||
_comnet_schedules_key_to_usage = {
|
||||
'C-1 Assembly': 'C-1 Assembly',
|
||||
'C-2 Public': 'C-2 Health',
|
||||
'C-3 Hotel Motel': 'C-3 Hotel',
|
||||
'C-4 Manufacturing': 'C-4 Manufacturing',
|
||||
'C-5 Office': 'C-5 Office',
|
||||
'C-6 Parking Garage': 'C-6 Parking',
|
||||
'C-7 Restaurant': 'C-7 Restaurant',
|
||||
'C-8 Retail': 'C-8 Retail',
|
||||
'C-9 Schools': 'C-9 School',
|
||||
'C-10 Warehouse': 'C-10 Warehouse',
|
||||
'C-11 Laboratory': 'C-11 Lab',
|
||||
'C-12 Residential': 'C-12 Residential',
|
||||
'C-13 Data Center': 'C-13 Data',
|
||||
'C-14 Gymnasium': 'C-14 Gymnasium'}
|
||||
|
||||
@staticmethod
|
||||
def comnet_from_libs_usage(usage):
|
||||
"""
|
||||
|
|
Loading…
Reference in New Issue
Block a user