Modified workflow to include Sanam's schedules

This commit is contained in:
Pilar 2022-04-26 18:30:31 -04:00
parent 242e4624f9
commit b135a97ad2
4 changed files with 88 additions and 11 deletions

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data/.gitignore vendored Normal file
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!.gitignore

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"""
StochasticSchedulesImporter
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 pandas as pd
from city_model_structure.attributes.schedule import Schedule
import helpers.constants as cte
class StochasticSchedulesImporter:
"""
StochasticSchedulesImporter class
"""
def __init__(self, city, base_path, buildings=None):
file = 'Occupancy_schedules_EVBuilding.xlsx'
path = str(base_path / file)
if buildings is None:
self._buildings = city.buildings
else:
self._buildings = buildings
self._xls = pd.ExcelFile(path)
def enrich_buildings(self):
"""
Returns the city with the usage parameters assigned to the buildings
:return:
"""
_daily_schedules = pd.read_excel(self._xls, nrows=261, usecols="A:Y")
year = []
for day in range(1, 262):
values = _daily_schedules.iloc[day-1][1:].to_numpy()
year.extend(values)
schedule = Schedule()
schedule.values = year
schedule.type = cte.OCCUPANCY
schedule.time_range = cte.YEAR
schedule.time_step = cte.HOUR
schedule.data_type = cte.FRACTION
for building in self._buildings:
for internal_zone in building.internal_zones:
for thermal_zone in internal_zone.thermal_zones:
occupancy = thermal_zone.occupancy
occupancy.occupancy_schedules = [schedule]

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"""
CustomizedImportsFactory is used to import any information using user customized formats
This factory can only be called after calling the construction factory.
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from pathlib import Path
class CustomizedImportsFactory:
"""
CustomizedImportsFactory class
"""
def __init__(self, importer_class, city, base_path=None):
if base_path is None:
base_path = Path('C:/Users/Pilar/Documents/Pycharm_repository/Workshops/ep_workflow/inputs/')
self._importer_class = importer_class
self._city = city
self._base_path = base_path
def enrich(self):
"""
Returns the class that will enrich the city given
:return: Class
"""
importer = self._importer_class(self._city, self._base_path)
return importer.enrich_buildings()

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import sys import sys
sys.path.append('/home/guille/Projects/Concordia/libs') sys.path.append('C:/Users/Pilar/PycharmProjects/libs')
from imports.geometry_factory import GeometryFactory from imports.geometry_factory import GeometryFactory
from imports.construction_factory import ConstructionFactory from imports.construction_factory import ConstructionFactory
from imports.usage_factory import UsageFactory from imports.usage_factory import UsageFactory
from imports.schedules_factory import SchedulesFactory
from exports.exports_factory import ExportsFactory from exports.exports_factory import ExportsFactory
from imports.customized_imports_factory import CustomizedImportsFactory
from imports.customized_imports.stochastic_schedules_importer import StochasticSchedulesImporter as ssi
city = GeometryFactory('citygml', '/home/guille/Documents/Concordia/EP_Workflow/one_building_in_kelowna.gml').city city = GeometryFactory('citygml', 'C:/Users/Pilar/Documents/Pycharm_repository/Workshops/ep_workflow/'
'inputs/one_building_in_kelowna.gml').city
for building in city.buildings:
building.year_of_construction = 2006
ConstructionFactory('nrel', city).enrich() ConstructionFactory('nrel', city).enrich()
UsageFactory('comnet', city).enrich() UsageFactory('comnet', city).enrich()
SchedulesFactory('comnet', city).enrich() CustomizedImportsFactory(ssi, city).enrich()
for building in city.buildings:
for usage in building.usage_zones:
if usage.cooling_setpoint is None:
usage.cooling_setpoint = 22.0
if usage.heating_setpoint is None:
usage.heating_setpoint = 22.0
_idf = ExportsFactory('idf', city, '/home/guille/Documents/Concordia/EP_Workflow/outputs/').export() _idf = ExportsFactory('idf', city,
'C:/Users/Pilar/Documents/Pycharm_repository/Workshops/ep_workflow/outputs/').export_debug()
_idf.run() _idf.run()