partial parser for data sources

This commit is contained in:
Guille Gutierrez 2022-05-17 22:22:40 -04:00
parent fbf6005748
commit 9b3241e1d7
3 changed files with 432 additions and 1 deletions

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@ -4,14 +4,304 @@ 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):
pass
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

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"""
Usage helper
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import sys
import helpers.constants as cte
from typing import Dict
class UsageHelper:
"""
Usage helper class
"""
_usage_to_hft = {
cte.RESIDENTIAL: 'residential',
cte.SINGLE_FAMILY_HOUSE: 'Single family house',
cte.MULTI_FAMILY_HOUSE: 'Multi-family house',
cte.EDUCATION: 'education',
cte.SCHOOL_WITHOUT_SHOWER: 'school without shower',
cte.SCHOOL_WITH_SHOWER: 'school with shower',
cte.RETAIL_SHOP_WITHOUT_REFRIGERATED_FOOD: 'retail',
cte.RETAIL_SHOP_WITH_REFRIGERATED_FOOD: 'retail shop / refrigerated food',
cte.HOTEL: 'hotel',
cte.HOTEL_MEDIUM_CLASS: 'hotel (Medium-class)',
cte.DORMITORY: 'dormitory',
cte.INDUSTRY: 'industry',
cte.RESTAURANT: 'restaurant',
cte.HEALTH_CARE: 'health care',
cte.RETIREMENT_HOME_OR_ORPHANAGE: 'Home for the aged or orphanage',
cte.OFFICE_AND_ADMINISTRATION: 'office and administration',
cte.EVENT_LOCATION: 'event location',
cte.HALL: 'hall',
cte.SPORTS_LOCATION: 'sport location',
cte.LABOR: 'Labor',
cte.GREEN_HOUSE: 'green house',
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]
_usage_to_comnet = {
cte.RESIDENTIAL: 'BA Multifamily',
cte.SINGLE_FAMILY_HOUSE: 'BA Multifamily',
cte.MULTI_FAMILY_HOUSE: 'BA Multifamily',
cte.EDUCATION: 'BA School/University',
cte.SCHOOL_WITHOUT_SHOWER: 'BA School/University',
cte.SCHOOL_WITH_SHOWER: 'BA School/University',
cte.RETAIL_SHOP_WITHOUT_REFRIGERATED_FOOD: 'BA Retail',
cte.RETAIL_SHOP_WITH_REFRIGERATED_FOOD: 'BA Retail',
cte.HOTEL: 'BA Hotel',
cte.HOTEL_MEDIUM_CLASS: 'BA Hotel',
cte.DORMITORY: 'BA Dormitory',
cte.INDUSTRY: 'BA Manufacturing Facility',
cte.RESTAURANT: 'BA Dining: Family',
cte.HEALTH_CARE: 'BA Hospital',
cte.RETIREMENT_HOME_OR_ORPHANAGE: 'BA Multifamily',
cte.OFFICE_AND_ADMINISTRATION: 'BA Office',
cte.EVENT_LOCATION: 'BA Convention Center',
cte.HALL: 'BA Convention Center',
cte.SPORTS_LOCATION: 'BA Sports Arena',
cte.LABOR: 'BA Gymnasium',
cte.GREEN_HOUSE: cte.GREEN_HOUSE,
cte.NON_HEATED: cte.NON_HEATED
}
_comnet_schedules_key_to_comnet_schedules = {
'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'}
@property
def comnet_schedules_key_to_comnet_schedules(self) -> Dict:
return self._comnet_schedules_key_to_comnet_schedules
@property
def comnet_days(self):
return self._comnet_days
@staticmethod
def comnet_from_hub_usage(usage):
"""
Get Comnet usage from the given internal usage key
:param usage: str
:return: str
"""
try:
return UsageHelper._usage_to_comnet[usage]
except KeyError:
sys.stderr.write('Error: keyword not found to translate from hub_usage to comnet usage.\n')
@staticmethod
def schedules_key(usage):
"""
Get Comnet schedules key from the list found in the Comnet usage file
:param usage: str
:return: str
"""
try:
return UsageHelper._comnet_schedules_key_to_comnet_schedules[usage]
except KeyError:
sys.stderr.write('Error: Comnet keyword not found. An update of the Comnet files might have been '
'done changing the keywords.\n')

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"""
TestUsageCatalog
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
"""
from unittest import TestCase
from catalog_factories.usage_catalog_factory import UsageCatalogFactory
class TestConstructionCatalog(TestCase):
def test_comnet_catalog(self):
catalog = UsageCatalogFactory('comnet').catalog
self.assertIsNotNone(catalog, 'catalog is none')