From 241ca4298fb3c1c21f70054363b6a654096893f5 Mon Sep 17 00:00:00 2001 From: Pilar Date: Fri, 25 Nov 2022 15:56:11 -0500 Subject: [PATCH] workflow v2.0 using BuildingEnergyExportsFactory and without main, to be used with an API --- cache/.gitignore | 4 - helpers/assumptions.py | 9 - helpers/geometry.py | 19 - helpers/library_codes.py | 13 - main.py | 130 - monthly_energy_balance.py | 93 + outputs/.gitignore | 4 - tests_data/gis/2050_bp_20buildings.gml | 19508 ---------------- tests_data/gis/2050_bp_2buildings.gml | 626 - tests_data/gis/lod2_buildings.gml | 925 - tests_data/weather/inseldb_Summerland.cli | 8764 ------- tests_data/weather/inseldb_Summerland.dat | 8760 ------- tests_data/weather/inseldb_new_york_city.cli | 8764 ------- .../test_monthly_energy_balance_workflow.py | 104 + 14 files changed, 197 insertions(+), 47526 deletions(-) delete mode 100644 cache/.gitignore delete mode 100644 helpers/assumptions.py delete mode 100644 helpers/geometry.py delete mode 100644 helpers/library_codes.py delete mode 100644 main.py create mode 100644 monthly_energy_balance.py delete mode 100644 outputs/.gitignore delete mode 100644 tests_data/gis/2050_bp_20buildings.gml delete mode 100644 tests_data/gis/2050_bp_2buildings.gml delete mode 100644 tests_data/gis/lod2_buildings.gml delete mode 100644 tests_data/weather/inseldb_Summerland.cli delete mode 100644 tests_data/weather/inseldb_Summerland.dat delete mode 100644 tests_data/weather/inseldb_new_york_city.cli create mode 100644 unittests/test_monthly_energy_balance_workflow.py diff --git a/cache/.gitignore b/cache/.gitignore deleted file mode 100644 index 86d0cb2..0000000 --- a/cache/.gitignore +++ /dev/null @@ -1,4 +0,0 @@ -# Ignore everything in this directory -* -# Except this file -!.gitignore \ No newline at end of file diff --git a/helpers/assumptions.py b/helpers/assumptions.py deleted file mode 100644 index 13115d6..0000000 --- a/helpers/assumptions.py +++ /dev/null @@ -1,9 +0,0 @@ -# These values are intended as configurable assumptions -# ToDo: these values need to be changed into configurable parameters - -# convective fluxes -h_i = 10 # W/m2K -h_e = 25 # W/m2K - -# windows' default values -frame_ratio = 0 diff --git a/helpers/geometry.py b/helpers/geometry.py deleted file mode 100644 index 982b21a..0000000 --- a/helpers/geometry.py +++ /dev/null @@ -1,19 +0,0 @@ -import math -import numpy as np - - -class Geometry: - def __init__(self, delta=0.5): - self._delta = delta - - def almost_equal(self, v1, v2): - delta = math.sqrt(pow((v1[0]-v2[0]), 2) + pow((v1[1]-v2[1]), 2) + pow((v1[2]-v2[2]), 2)) - return delta <= self._delta - - @staticmethod - def to_points_matrix(points, remove_last=False): - rows = points.size//3 - points = points.reshape(rows, 3) - if remove_last: - points = np.delete(points, rows-1, 0) - return points diff --git a/helpers/library_codes.py b/helpers/library_codes.py deleted file mode 100644 index 5af7cc7..0000000 --- a/helpers/library_codes.py +++ /dev/null @@ -1,13 +0,0 @@ -class LibraryCodes(object): - construction_code = { - 'Wall': '1', - 'Ground': '2', - 'Roof': '3', - 'interior wall': '5', - 'ground wall': '6', - 'attic floor': '7', - 'interior slab': '8' - } - - def construction_types_to_code(self, construction_type): - return self.construction_code[construction_type] diff --git a/main.py b/main.py deleted file mode 100644 index 3914641..0000000 --- a/main.py +++ /dev/null @@ -1,130 +0,0 @@ -""" -Monthly energy balance main -SPDX - License - Identifier: LGPL - 3.0 - or -later -Copyright © 2020 Project Author Pilar Monsalvete Álvarez de Uribarri pilar.monsalvete@concordia.ca -""" - -import sys -from pathlib import Path -from argparse import ArgumentParser -import ast -import pandas as pd -import datetime - -import helpers.constants as cte -from helpers import monthly_values as mv -from simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm -from imports.geometry_factory import GeometryFactory -from imports.weather_factory import WeatherFactory -from imports.construction_factory import ConstructionFactory -from imports.usage_factory import UsageFactory -from exports.energy_building_exports_factory import EnergyBuildingsExportsFactory -from insel.monthly_demand_calculation import MonthlyDemandCalculation - - -parser = ArgumentParser(description='Monthly energy balance workflow v1.0.') -required = parser.add_argument_group('required arguments') -parser.add_argument('--geometry_type', '-g', help='Geometry type {citygml}', default='citygml') -required.add_argument('--input_geometry_file', '-i', help='Input geometry file', required=True) -parser.add_argument('--use_cached_sra_file', '-u', help='Use sra files from cache, instead of freshly calculated sra ' - 'files', default=False) -required.add_argument('--project_folder', '-f', help='Project folder', required=True) -required.add_argument('--weather_file_name', '-w', help='Weather file', required=True) -required.add_argument('--climate_reference_city', '-c', help='Closest city with climate weather', required=True) - -try: - args = parser.parse_args() -except SystemExit: - sys.exit() -keep_files = True - -print('begin_time', datetime.datetime.now()) -# Step 1: Initialize the city model -file = Path(args.input_geometry_file).resolve() -city = GeometryFactory(args.geometry_type, file).city -for building in city.buildings: - volume = building.volume - if str(volume) == 'inf': - sys.stderr.write(f'Building {building.name} has geometry errors. It has been removed from the city\n') - city.remove_city_object(building) - -print('begin_populating_time', datetime.datetime.now()) -# Step 2: Populate city adding thermal- and usage-related parameters -for building in city.buildings: - building.year_of_construction = 2006 - if building.function is None: - building.function = 'large office' - building.attic_heated = 0 - building.basement_heated = 1 -ConstructionFactory('nrel', city).enrich() -UsageFactory('comnet', city).enrich() - -print('begin_weather_time', datetime.datetime.now()) -# Step 3: Populate city adding climate-related parameters -weather_format = 'epw' -city.climate_reference_city = args.climate_reference_city -tmp_path = (Path(args.project_folder) / 'tmp').resolve() -city.climate_file = (tmp_path / f'{args.climate_reference_city}.cli').resolve() -WeatherFactory(weather_format, city, file_name=args.weather_file_name).enrich() -for building in city.buildings: - if cte.HOUR not in building.external_temperature: - print('No external temperature found') - sys.exit() - - if cte.MONTH not in building.external_temperature: - building.external_temperature[cte.MONTH] = mv.MonthlyValues().\ - get_mean_values(building.external_temperature[cte.HOUR][[weather_format]]) - -max_buildings_handled_by_sra = 500 -sra = SimplifiedRadiosityAlgorithm(city, Path(args.project_folder).resolve(), args.weather_file_name) -if ast.literal_eval(args.use_cached_sra_file): - sra.set_irradiance_surfaces(city) -else: - total_number_of_buildings = len(city.buildings) - if total_number_of_buildings > max_buildings_handled_by_sra: - radius = 80 - for building in city.buildings: - new_city = city.region(building.centroid, radius) - sra_new = SimplifiedRadiosityAlgorithm(new_city, Path(args.project_folder).resolve(), args.weather_file_name) - sra_new.call_sra(weather_format, keep_files=True) - sra_new.set_irradiance_surfaces(city, building_name=building.name) - else: - sra.call_sra(weather_format, keep_files=keep_files) - sra.set_irradiance_surfaces(city) - -print('begin_insel_time', datetime.datetime.now()) -# Step 5: Demand calculation calling INSEL -EnergyBuildingsExportsFactory('insel_monthly_energy_balance', city, tmp_path).export() -insel = MonthlyDemandCalculation(city, tmp_path, weather_format) -insel.run() -insel.results() - -print('begin_write_results_time', datetime.datetime.now()) -# Step 6: Print results -print_results = None -file = 'city name: ' + city.name + '\n' -for building in city.buildings: - insel_file_name = building.name + '.insel' - heating_results = building.heating[cte.MONTH].rename(columns={'INSEL': f'{building.name} heating Wh'}) - cooling_results = building.cooling[cte.MONTH].rename(columns={'INSEL': f'{building.name} cooling Wh'}) - if print_results is None: - print_results = heating_results - else: - print_results = pd.concat([print_results, heating_results], axis='columns') - print_results = pd.concat([print_results, cooling_results], axis='columns') - file += '\n' - file += 'name: ' + building.name + '\n' - file += 'year of construction: ' + str(building.year_of_construction) + '\n' - file += 'function: ' + building.function + '\n' - file += 'floor area: ' + str(building.internal_zones[0].area) + '\n' - file += 'storeys: ' + str(building.storeys_above_ground) + '\n' - file += 'heated_volume: ' + str(building.volume) + '\n' - file += 'volume: ' + str(building.volume) + '\n' - -full_path_results = Path(args.project_folder + '/outputs/demand.csv').resolve() -print_results.to_csv(full_path_results) -full_path_metadata = Path(args.project_folder + '/outputs/metadata.csv').resolve() -with open(full_path_metadata, 'w') as metadata_file: - metadata_file.write(file) - -print('end_time', datetime.datetime.now()) diff --git a/monthly_energy_balance.py b/monthly_energy_balance.py new file mode 100644 index 0000000..f9300ba --- /dev/null +++ b/monthly_energy_balance.py @@ -0,0 +1,93 @@ +""" +InselMonthlyEnergyBalance exports models to insel format +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 +import pandas as pd + +import helpers.constants as cte +from helpers.monthly_values import MonthlyValues +from exports.energy_building_exports_factory import EnergyBuildingsExportsFactory +from insel.monthly_demand_calculation import MonthlyDemandCalculation + + +class MonthlyEnergyBalance: + def __init__(self, city, path, attic_heated_case, basement_heated_case, weather_format): + self._city = city + print(path) + self._path = path + self._weather_format = weather_format + for building in self._city.buildings: + building.attic_heated = attic_heated_case + building.basement_heated = basement_heated_case + self.sanity_check() + self.workflow() + + def sanity_check(self): + levels_of_detail = self._city.level_of_detail + if levels_of_detail.geometry is None: + raise Exception(f'Level of detail of geometry not assigned') + if levels_of_detail.geometry < 1: + raise Exception(f'Level of detail of geometry = {levels_of_detail.geometry}. Required minimum level 1') + if levels_of_detail.construction is None: + raise Exception(f'Level of detail of construction not assigned') + if levels_of_detail.construction < 1: + raise Exception(f'Level of detail of construction = {levels_of_detail.construction}. Required minimum level 1') + if levels_of_detail.usage is None: + raise Exception(f'Level of detail of usage not assigned') + if levels_of_detail.usage < 1: + raise Exception(f'Level of detail of usage = {levels_of_detail.usage}. Required minimum level 1') + for building in self._city.buildings: + if cte.HOUR not in building.external_temperature: + raise Exception(f'Building {building.name} does not have external temperature assigned') + for surface in building.surfaces: + if surface.type != cte.GROUND: + if cte.HOUR not in surface.global_irradiance: + raise Exception(f'Building {building.name} does not have global irradiance on surfaces assigned') + + def workflow(self): + for building in self._city.buildings: + if cte.MONTH not in building.external_temperature: + building.external_temperature[cte.MONTH] = MonthlyValues(). \ + get_mean_values(building.external_temperature[cte.HOUR][[self._weather_format]]) + + for surface in building.surfaces: + if surface.type != cte.GROUND: + if cte.MONTH not in surface.global_irradiance: + surface.global_irradiance[cte.MONTH] = MonthlyValues().get_total_month(surface.global_irradiance[cte.HOUR]) + + tmp_path = (Path(__file__).parent / 'tmp').resolve() + EnergyBuildingsExportsFactory('insel_monthly_energy_balance', self._city, tmp_path).export() + insel = MonthlyDemandCalculation(self._city, tmp_path, self._weather_format) + insel.run() + insel.results() + self._print_results() + + def _print_results(self): + print_results = None + file = 'city name: ' + self._city.name + '\n' + for building in self._city.buildings: + heating_results = building.heating[cte.MONTH].rename(columns={'INSEL': f'{building.name} heating Wh'}) + cooling_results = building.cooling[cte.MONTH].rename(columns={'INSEL': f'{building.name} cooling Wh'}) + if print_results is None: + print_results = heating_results + else: + print_results = pd.concat([print_results, heating_results], axis='columns') + print_results = pd.concat([print_results, cooling_results], axis='columns') + file += '\n' + file += 'name: ' + building.name + '\n' + file += 'year of construction: ' + str(building.year_of_construction) + '\n' + file += 'function: ' + building.function + '\n' + file += 'floor area: ' + str(building.internal_zones[0].area) + '\n' + file += 'storeys: ' + str(building.storeys_above_ground) + '\n' + file += 'heated_volume: ' + str(0.85 * building.volume) + '\n' + file += 'volume: ' + str(building.volume) + '\n' + + full_path_results = Path(self._path / 'demand.csv').resolve() + print_results.to_csv(full_path_results) + full_path_metadata = Path(self._path / 'metadata.csv').resolve() + with open(full_path_metadata, 'w') as metadata_file: + metadata_file.write(file) diff --git a/outputs/.gitignore b/outputs/.gitignore deleted file mode 100644 index 86d0cb2..0000000 --- a/outputs/.gitignore +++ /dev/null @@ -1,4 +0,0 @@ -# Ignore everything in this directory -* -# Except this file -!.gitignore \ No newline at end of file diff --git a/tests_data/gis/2050_bp_20buildings.gml b/tests_data/gis/2050_bp_20buildings.gml deleted file mode 100644 index 1832a2c..0000000 --- a/tests_data/gis/2050_bp_20buildings.gml +++ /dev/null @@ -1,19508 +0,0 @@ - - - Gowanus 2050 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1864.00000 118.823921 1.76517701 113.314331 12.0663090 - 1865.00000 176.273361 2.55435205 149.593002 81.7992249 - 1866.00000 80.7249680 2.11208916 74.1503067 37.9472694 - 1867.00000 8.79524899 2.44591618 8.06587696 14.5874405 - 1868.00000 0.00000000 3.30904102 0.00000000 0.00000000 - 1869.00000 0.00000000 3.69200897 0.00000000 0.00000000 - 1870.00000 0.00000000 3.89888740 0.00000000 0.00000000 - 1871.00000 0.00000000 3.34707642 0.00000000 0.00000000 - 1872.00000 0.00000000 4.02740145 0.00000000 0.00000000 - 1873.00000 0.00000000 4.43975735 0.00000000 0.00000000 - 1874.00000 0.00000000 4.48901939 0.00000000 0.00000000 - 1875.00000 0.00000000 3.88412380 0.00000000 0.00000000 - 1876.00000 0.00000000 4.61816216 0.00000000 0.00000000 - 1877.00000 0.00000000 4.52889633 0.00000000 0.00000000 - 1878.00000 0.00000000 5.57941675 0.00000000 0.00000000 - 1879.00000 0.00000000 5.51768684 0.00000000 0.00000000 - 1880.00000 37.1099930 4.92425013 35.4984245 10.9837093 - 1881.00000 104.212463 5.65983868 97.8955536 20.8637638 - 1882.00000 185.214859 6.88879538 171.327515 31.6725807 - 1883.00000 220.805023 8.06450367 204.840027 29.3442116 - 1884.00000 307.029816 8.41715431 274.953400 52.3907051 - 1885.00000 228.601303 9.78637981 213.974167 22.9131737 - 1886.00000 166.362686 11.0228338 158.392487 12.8421745 - 1887.00000 383.359222 11.3814125 250.619965 236.936142 - 1888.00000 240.986649 10.8888645 209.340195 68.5986328 - 1889.00000 224.357254 10.2036028 149.666000 225.836426 - 1890.00000 50.2026443 9.64604950 47.7202644 13.9701080 - 1891.00000 11.4876785 9.09291649 10.2152319 25.4489326 - 1892.00000 0.00000000 7.94993591 0.00000000 0.00000000 - 1893.00000 0.00000000 7.73213243 0.00000000 0.00000000 - 1894.00000 0.00000000 7.35675335 0.00000000 0.00000000 - 1895.00000 0.00000000 7.19237089 0.00000000 0.00000000 - 1896.00000 0.00000000 7.92857218 0.00000000 0.00000000 - 1897.00000 0.00000000 7.46016502 0.00000000 0.00000000 - 1898.00000 0.00000000 8.20298576 0.00000000 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224.777084 533.364563 - 1934.00000 514.270325 18.1587048 246.157059 425.062347 - 1935.00000 320.017242 18.3347397 260.741180 104.003319 - 1936.00000 216.682434 17.8566074 198.868134 37.8488388 - 1937.00000 179.985062 16.8429890 154.962326 73.6443481 - 1938.00000 61.3902321 15.8970270 57.8443909 19.0119267 - 1939.00000 15.5155087 15.1859999 13.7115889 36.0783958 - 1940.00000 0.00000000 14.9764700 0.00000000 0.00000000 - 1941.00000 0.00000000 13.7593546 0.00000000 0.00000000 - 1942.00000 0.00000000 13.5927601 0.00000000 0.00000000 - 1943.00000 0.00000000 13.1652222 0.00000000 0.00000000 - 1944.00000 0.00000000 12.7366714 0.00000000 0.00000000 - 1945.00000 0.00000000 12.4890127 0.00000000 0.00000000 - 1946.00000 0.00000000 12.4644423 0.00000000 0.00000000 - 1947.00000 0.00000000 11.8642683 0.00000000 0.00000000 - 1948.00000 0.00000000 11.3818140 0.00000000 0.00000000 - 1949.00000 0.00000000 10.5710192 0.00000000 0.00000000 - 1950.00000 0.00000000 10.8090897 0.00000000 0.00000000 - 1951.00000 12.2553997 10.8827543 3.09835553 183.140884 - 1952.00000 96.1149673 10.3274908 78.0024033 109.863510 - 1953.00000 332.667358 10.9183865 67.4255524 826.821472 - 1954.00000 455.488708 12.3356838 110.934311 755.417603 - 1955.00000 567.009460 14.0864172 126.784370 784.466064 - 1956.00000 626.446899 15.9834862 150.204407 757.443359 - 1957.00000 670.459656 18.2324276 134.637817 819.054443 - 1958.00000 709.719543 18.9649773 125.620361 918.721008 - 1959.00000 640.578857 20.0146027 113.382462 917.268616 - 1960.00000 388.037476 19.6087170 185.805023 425.491180 - 1961.00000 345.656281 18.8070164 81.7862625 766.483887 - 1962.00000 133.207809 17.0827522 86.7262268 243.506805 - 1963.00000 19.9946022 15.2967291 15.7669506 84.5530319 - 1964.00000 0.00000000 14.1821394 0.00000000 0.00000000 - 1965.00000 0.00000000 11.9303150 0.00000000 0.00000000 - 1966.00000 0.00000000 10.5993986 0.00000000 0.00000000 - 1967.00000 0.00000000 9.93957615 0.00000000 0.00000000 - 1968.00000 0.00000000 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572.451172 - 1986.00000 146.294266 9.87234116 85.3106384 312.347504 - 1987.00000 13.4984713 9.61224365 12.6483669 17.0020866 - 1988.00000 0.00000000 8.97187424 0.00000000 0.00000000 - 1989.00000 0.00000000 7.30325174 0.00000000 0.00000000 - 1990.00000 0.00000000 6.50059605 0.00000000 0.00000000 - 1991.00000 0.00000000 6.02903938 0.00000000 0.00000000 - 1992.00000 0.00000000 5.32177496 0.00000000 0.00000000 - 1993.00000 0.00000000 4.65149069 0.00000000 0.00000000 - 1994.00000 0.00000000 5.01265049 0.00000000 0.00000000 - 1995.00000 0.00000000 4.90596104 0.00000000 0.00000000 - 1996.00000 0.00000000 5.01562262 0.00000000 0.00000000 - 1997.00000 0.00000000 5.34881115 0.00000000 0.00000000 - 1998.00000 0.00000000 6.57636738 0.00000000 0.00000000 - 1999.00000 16.7140656 6.67179441 9.63977623 141.485779 - 2000.00000 122.528679 6.95386028 81.7795563 230.295456 - 2001.00000 277.805420 8.31892395 128.924606 447.436981 - 2002.00000 374.328125 9.50659752 188.116608 398.091583 - 2003.00000 564.225769 11.5410118 143.391510 735.154968 - 2004.00000 499.806427 13.4567614 261.030914 373.334564 - 2005.00000 488.943359 14.7144413 284.547943 307.566010 - 2006.00000 478.097778 15.4685669 275.162231 314.296539 - 2007.00000 528.391541 15.7277517 189.629028 579.836182 - 2008.00000 452.711853 16.4859505 145.360413 634.452637 - 2009.00000 339.125549 16.0716934 99.0810471 679.739685 - 2010.00000 146.133102 14.8174906 88.3132401 289.705444 - 2011.00000 36.8555679 14.0494299 14.9686928 437.737488 - 2012.00000 0.00000000 13.2199631 0.00000000 0.00000000 - 2013.00000 0.00000000 11.9201555 0.00000000 0.00000000 - 2014.00000 0.00000000 11.8955984 0.00000000 0.00000000 - 2015.00000 0.00000000 11.5344648 0.00000000 0.00000000 - 2016.00000 0.00000000 11.3270988 0.00000000 0.00000000 - 2017.00000 0.00000000 10.7076845 0.00000000 0.00000000 - 2018.00000 0.00000000 10.1253357 0.00000000 0.00000000 - 2019.00000 0.00000000 9.74125290 0.00000000 0.00000000 - 2020.00000 0.00000000 9.15727043 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0 -30 12 22 0 0 -30 12 23 0 0 -30 12 24 0 0 -31 12 1 0 0 -31 12 2 0 0 -31 12 3 0 0 -31 12 4 0 0 -31 12 5 0 0 -31 12 6 0 0 -31 12 7 0 0 -31 12 8 45 46 -31 12 9 95 437 -31 12 10 163 177 -31 12 11 193 66 -31 12 12 201 240 -31 12 13 176 370 -31 12 14 113 21 -31 12 15 97 35 -31 12 16 17 6 -31 12 17 0 0 -31 12 18 0 0 -31 12 19 0 0 -31 12 20 0 0 -31 12 21 0 0 -31 12 22 0 0 -31 12 23 0 0 -31 12 24 0 0 diff --git a/unittests/test_monthly_energy_balance_workflow.py b/unittests/test_monthly_energy_balance_workflow.py new file mode 100644 index 0000000..6c3db93 --- /dev/null +++ b/unittests/test_monthly_energy_balance_workflow.py @@ -0,0 +1,104 @@ +""" +TestMonthlyEnergyBalanceWorkflow test +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 +from unittest import TestCase +import pandas as pd +import helpers.constants as cte +from helpers.monthly_values import MonthlyValues +from imports.geometry_factory import GeometryFactory +from imports.construction_factory import ConstructionFactory +from imports.usage_factory import UsageFactory +from imports.weather_factory import WeatherFactory +from monthly_energy_balance import MonthlyEnergyBalance + + +class TestMonthlyEnergyBalanceWorkflow(TestCase): + """ + TestMonthlyEnergyBalanceWorkflow class + """ + def setUp(self) -> None: + """ + Test setup + :return: None + """ + self._city = None + self._complete_city = None + self._example_path = (Path(__file__).parent / 'tests_data').resolve() + self._output_path = (Path(__file__).parent / 'tests_outputs').resolve() + + def _get_citygml(self, file): + file_path = (self._example_path / file).resolve() + self._city = GeometryFactory('citygml', path=file_path).city + self.assertIsNotNone(self._city, 'city is none') + return self._city + + @property + def _read_sra_file(self) -> []: + path = (self._example_path / "one_building_in_kelowna_sra_SW.out").resolve() + _results = pd.read_csv(path, sep='\s+', header=0) + id_building = '' + header_building = [] + _radiation = [] + for column in _results.columns.values: + if id_building != column.split(':')[1]: + id_building = column.split(':')[1] + if len(header_building) > 0: + _radiation.append(pd.concat([MonthlyValues().month_hour, _results[header_building]], axis=1)) + header_building = [column] + else: + header_building.append(column) + _radiation.append(pd.concat([MonthlyValues().month_hour, _results[header_building]], axis=1)) + return _radiation + + def _set_irradiance_surfaces(self, city, irradiance_format): + """ + saves in building surfaces the correspondent irradiance at different time-scales depending on the mode + if building is None, it saves all buildings' surfaces in file, if building is specified, it saves only that + specific building values + :parameter city: city + :return: none + """ + for radiation in self._read_sra_file: + city_object_name = radiation.columns.values.tolist()[1].split(':')[1] + building = city.city_object(city_object_name) + for column in radiation.columns.values: + if column == cte.MONTH: + continue + header_id = column + surface_id = header_id.split(':')[2] + surface = building.surface_by_id(surface_id) + new_value = pd.DataFrame(radiation[[header_id]].to_numpy(), columns=[irradiance_format]) + surface.global_irradiance[cte.HOUR] = new_value + + def _enrich_city(self, city, weather_file, weather_format, irradiance_format, construction_format, usage_format): + WeatherFactory(weather_format, city, file_name=weather_file).enrich() + self._set_irradiance_surfaces(city, irradiance_format) + + for building in city.buildings: + building.year_of_construction = 2006 + if building.function is None: + building.function = cte.LARGE_OFFICE + + ConstructionFactory(construction_format, city).enrich() + UsageFactory(usage_format, city).enrich() + + def test_workflow(self): + outputs_path = (Path(__file__).parent / 'tests_outputs').resolve() + + gml_file = 'one_building_in_kelowna.gml' + city = self._get_citygml(gml_file) + + weather_file = 'CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw' + weather_format = 'epw' + irradiance_format = 'sra' + construction_format = 'nrel' + usage_format = 'comnet' + attic_heated_case = 0 + basement_heated_case = 0 + self._enrich_city(city, weather_file, weather_format, irradiance_format, construction_format, usage_format) + MonthlyEnergyBalance(city, outputs_path, attic_heated_case, basement_heated_case, weather_format)