recreate the repository

This commit is contained in:
Guille Gutierrez 2021-02-04 11:17:31 -05:00
parent 770889efac
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# MonthlyEnergyBalance # MonthlyEnergyBalance
Monthly energy balance project This tool calculates the monthly energy balance for a given region.
The current version can only use NYC CityGml at LOD1, but we will increase the regions and the level of detail in future releases.
#### dependencies
You will need to install the following dependencies in your computer order to run the software; please take a look at the [install process](#installation) for your system-specific details
##### External software
+ INSEL 8 (https://insel4d.ca/en/download.html)
+ Simplified Radiosity Algorithm (mail to: guillermo.gutierrezmorote@concordia.ca)
After installing these tools you should include their paths in Path.
##### Python libraries
+ Shapely (1.7.0)
+ cycler (0.10.0)
+ geographiclib (1.50)
+ geopy (1.21.0)
+ kiwisolver (1.2.0)
+ matplotlib (3.2.1)
+ numpy (1.18.3)
+ numpy-stl (2.11.2)
+ pandas (1.0.3)
+ pip (20.0.2)
+ pyny3d (0.2)
+ pyparsing (2.4.7)
+ pyproj (2.6.0)
+ python-dateutil (2.8.1)
+ python-utils (2.4.0)
+ pytz (2019.3)
+ scipy (1.4.1)
+ setuptools (46.1.3)
+ six (1.14.0)
+ stl (0.0.3)
+ xmltodict (0.12.0)
## installation
##### Linux / Mac
Open a terminal and run the following commands.
```
$ mkdir MonthlyEnergyBalance
$ cd MonthlyEnergyBalance
$ git clone https://binarycat.org/git/PMAU/MonthlyEnergyBalance.git
$ python -m pip install requirements.txt
```
##### Windows
Open a terminal and run the following commands.
```
c:\> mkdir MonthlyEnergyBalance
c:\> cd MonthlyEnergyBalance
c:\> git clone https://binarycat.org/git/PMAU/MonthlyEnergyBalance.git
c:\> python.exe -m pip install requirements.txt
```
#### usage
##### Linux / Mac
Open a terminal and run the following command
```
$ python main.py
```
##### Windows
Open a terminal and run the following command.
```
c:\> python.exe main.py
```

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helpers/assumptions.py Normal file
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# 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

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helpers/geometry.py Normal file
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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

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helpers/library_codes.py Normal file
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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]

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helpers/monthly_values.py Normal file
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"""
Monthly values
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""
import pandas as pd
import numpy as np
import helpers.constants as cte
class MonthlyValues:
def __init__(self):
self._month_hour = None
def get_mean_values(self, values):
out = None
if values is not None:
if 'month' not in values.columns:
values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
out = values.groupby('month', as_index=False).mean()
del out['month']
return out
def get_total_month(self, values):
out = None
if values is not None:
if 'month' not in values.columns:
values = pd.concat([self.month_hour, pd.DataFrame(values)], axis=1)
out = pd.DataFrame(values).groupby('month', as_index=False).sum()
del out['month']
return out
@property
def month_hour(self):
"""
returns a DataFrame that has x values of the month number (January = 1, February = 2...),
being x the number of hours of the corresponding month
:return: DataFrame(int)
"""
array = []
for i in range(0, 12):
total_hours = cte.days_of_month[i] * 24
array = np.concatenate((array, np.full(total_hours, i + 1)))
self._month_hour = pd.DataFrame(array, columns=['month'])
return self._month_hour

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insel/insel.py Normal file
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import os
from pathlib import Path
class Insel:
def __init__(self, path, name, new_content="", mode=1, keep_files=False):
self._path = path
self._name = name
self._full_path = None
self._content = None
self._results = None
self._keep_files = keep_files
self.add_content(new_content, mode)
self.save()
def save(self):
with open(self.full_path, 'w') as insel_file:
insel_file.write(self.content)
return
@property
def full_path(self):
if self._full_path is None:
self._full_path = (Path(self._path) / 'tmp' / self._name).resolve()
return self._full_path
@property
def content(self):
if self._content is None:
if os.path.exists(self.full_path):
with open(self.full_path, 'r') as insel_file:
self._content = insel_file.read()
else:
self._content = ''
return self._content
# todo: create method
def add_block(self):
raise Exception('Not implemented')
def add_content(self, new_content, mode):
# mode = 1: keep old content
if mode == 1:
self._content = self.content + '\r\n' + new_content
# mode = 2: over-write
elif mode == 2:
self._content = new_content
else:
raise Exception('Add content mode not supported')
return
def run(self):
output = os.system('insel ' + str(self.full_path))
# todo: catch errors from INSEL
if not self._keep_files:
os.remove(self.full_path)
@property
def results(self):
raise Exception('Not implemented')

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import helpers.library_codes
import numpy as np
from pathlib import Path
import pandas as pd
import csv
from factories.weather_feeders.helpers.weather import Weather as wt
class MonthlyEnergyBalance:
@staticmethod
def generate_meb_template(building, insel_outputs_path):
lc = helpers.library_codes.LibraryCodes()
file = ""
file += "s 1 do\r\n"
file += "p 1 1 12 1\r\n"
file += "\r\n"
file += "s 4 d18599 1.1 20.1 21.1\r\n"
surfaces = building.surfaces
for i in range(1, len(surfaces) + 1):
file += str(100 + i) + '.1 % Radiation surface ' + str(i) + '\r\n'
file += 'p 4' + '\r\n'
# BUILDING PARAMETERS
file += str(building.heated_volume) + ' % BP(1) Heated Volume (vBrutto)\r\n'
file += str(building.average_storey_height) + ' % BP(2) Average storey height / m\r\n'
file += str(building.storeys_above_ground) + ' % BP(3) Number of storeys above ground\r\n'
file += str(building.attic_heated) + ' % BP(4) Attic heating type (0=no room, 1=unheated, 2=heated)\r\n'
file += str(building.basement_heated) + ' % BP(5) Cellar heating type (0=no room, 1=unheated, ' \
'2=heated, 99=invalid)\r\n'
# todo: this method and the insel model have to be reviewed for more than one thermal zone
thermal_zone = building.thermal_zones[0]
file += str(thermal_zone.indirectly_heated_area_ratio) + ' % BP(6) Indirectly heated area ratio\r\n'
file += str(thermal_zone.effective_thermal_capacity) + ' % BP(7) Effective heat capacity\r\n'
file += str(thermal_zone.additional_thermal_bridge_u_value) + ' % BP(8) Additional U-value for heat bridge\r\n'
file += '0 % BP(9) Usage type (0=standard, 1=IWU)\r\n'
# ZONES AND SURFACES
# todo: is this actually number of thermal zones or of usage zones?
file += str(len(building.thermal_zones)) + ' % BP(10) Number $z$ of zones\r\n'
i = 0
for usage_zone in building.usage_zones:
percentage_usage = 1
file += str(float(building.foot_print.area) * percentage_usage) + ' % BP(11) #1 Area of zone ' + \
str(i + 1) + ' (sqm)' + '\r\n'
total_internal_gains = 0
for ig in usage_zone.internal_gains:
total_internal_gains += float(ig.average_internal_gain) * \
(float(ig.convective_fraction) + float(ig.radiative_fraction))
file += str(total_internal_gains) + ' % BP(12) #2 Internal gains of zone ' + str(i + 1) + '\r\n'
file += str(usage_zone.heating_setpoint) + ' % BP(13) #3 Heating setpoint temperature zone ' + \
str(i + 1) + ' (tSetHeat)' + '\r\n'
file += str(usage_zone.heating_setback) + ' % BP(14) #4 Heating setback temperature zone ' + \
str(i + 1) + ' (tSetbackHeat)' + '\r\n'
file += str(usage_zone.cooling_setpoint) + ' % BP(15) #5 Cooling setpoint temperature zone ' + \
str(i + 1) + ' (tSetCool)' + '\r\n'
file += str(usage_zone.hours_day) + ' % BP(16) #6 Usage hours per day zone ' + str(i + 1) + '\r\n'
file += str(usage_zone.days_year) + ' % BP(17) #7 Usage days per year zone ' + str(i + 1) + '\r\n'
if usage_zone.mechanical_air_change is None:
raise Exception('Ventilation air rate is not initialized')
file += str(usage_zone.mechanical_air_change) + ' % BP(18) #8 Minimum air change rate zone ' + \
str(i + 1) + ' (h^-1)' + '\r\n'
i += 1
file += str(len(surfaces)) + ' % Number of surfaces = BP(11+8z)\r\n'
file += '% 1. Surface type (1=wall, 2=ground 3=roof, 4=flat roof)' + '\r\n'
file += '% 2. Areas above ground' + '\r\n'
file += '% 3. Areas below ground' + '\r\n'
file += '% 4. U-value' + '\r\n'
file += '% 5. Window area' + '\r\n'
file += '% 6. Window frame fraction' + '\r\n'
file += '% 7. Window U-value' + '\r\n'
file += '% 8. Window g-value' + '\r\n'
file += '% 9. Short-wave reflectance' + '\r\n'
file += '% #1 #2 #3 #4 #5 #6 #7 #8 #9' + '\r\n'
# todo: this method has to be reviewed for more than one thermal opening per thermal boundary
for thermal_boundary in building.thermal_zones[0].bounded:
type_code = lc.construction_types_to_code(thermal_boundary.type)
string = type_code + ' ' + str(thermal_boundary.area_above_ground) + ' ' + \
str(thermal_boundary.area_below_ground) + ' ' + str(thermal_boundary.u_value) + ' ' + \
str(thermal_boundary.window_area) + ' '
if thermal_boundary.window_area <= 0.001:
string = string + '0 0 0 '
else:
string = string + str(thermal_boundary.thermal_openings[0].frame_ratio) + ' ' + \
str(thermal_boundary.thermal_openings[0].overall_u_value) + ' ' + \
str(thermal_boundary.thermal_openings[0].g_value) + ' '
if thermal_boundary.outside_solar_absorptance is not None:
string += str(thermal_boundary.shortwave_reflectance) + '\r\n'
else:
string += '0 \r\n'
file += string
file += '\r\n'
file += 's 20 polyg 1\r\n'
file += 'p 20 12 % Monthly ambient temperature\r\n'
external_temperature = building.external_temperature['month']
for i in range(0, len(external_temperature)):
file += str(i+1) + ' ' + str(external_temperature.at[i, 'inseldb']) + '\r\n'
file += '\r\n'
file += 's 21 polyg 1\r\n'
file += 'p 21 12 % Monthly sky temperature\r\n'
i = 1
sky_temperature = wt.sky_temperature(external_temperature[['inseldb']].to_numpy().T[0])
for temperature in sky_temperature:
file += str(i) + ' ' + str(temperature) + '\r\n'
i += 1
i = 0
for surface in surfaces:
file += '\r\n'
file += 's ' + str(101 + i) + ' polyg 1 % Monthly surface radiation (W/sqm)\r\n'
file += 'p ' + str(101 + i) + ' 12 % Azimuth ' + str(np.rad2deg(surface.azimuth)) + \
', inclination ' + str(np.rad2deg(surface.inclination)) + ' degrees\r\n'
if surface.type != 'Ground':
global_irradiance = surface.global_irradiance['month']
for j in range(0, len(global_irradiance)):
file += str(j + 1) + ' ' + str(global_irradiance.at[j, 'sra']) + '\r\n'
else:
for j in range(0, 12):
file += str(j + 1) + ' 0\r\n'
i += 1
file += '\r\n'
file += '% ONE YEAR\r\n'
file += 's 300 cum 4.1 4.2\r\n'
file += 's 303 atend 300.1 300.2\r\n'
file += '\r\n'
file += 's ' + str(310) + ' WRITE\r\n'
file += '4.1 4.2\r\n'
file += 'p ' + str(310) + '\r\n'
file += '1 % Mode\r\n'
file += '0 % Suppress FNQ inputs\r\n'
file += "'" + str(insel_outputs_path) + "' % File name\r\n"
file += "'*' % Fortran format\r\n"
return file
@staticmethod
def demand(insel_outputs_path):
heating = []
cooling = []
with open(Path(insel_outputs_path).resolve()) as csv_file:
csv_reader = csv.reader(csv_file)
for line in csv_reader:
demand = str(line).replace("['", '').replace("']", '').split()
heating.append(demand[0])
cooling.append(demand[1])
monthly_heating = pd.DataFrame(heating, columns=['INSEL'])
monthly_cooling = pd.DataFrame(cooling, columns=['INSEL'])
return monthly_heating, monthly_cooling

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"""
Monthly energy balance main
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""
import sys
from pathlib import Path
from argparse import ArgumentParser
import ast
import pandas as pd
from helpers import monthly_values as mv
from populate import Populate
from insel.insel import Insel
from insel.templates.monthly_energy_balance import MonthlyEnergyBalance as templates
from simplified_radiosity_algorithm.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm
from factories.geometry_factory import GeometryFactory
from factories.weather_factory import WeatherFactory
from city_model_structure.city import City
parser = ArgumentParser(description='Monthly energy balance workflow v0.1.')
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_pickle_file', '-p', help='Use pickle file instead of importing geometry file', default=False,
required=True)
parser.add_argument('--populated_step_in_pickle', '-ps', help='Physics and usage parameters already in pickle file',
default=False, required=True)
parser.add_argument('--weather_step_in_pickle', '-ws', help='Weather parameters already in pickle file',
default=False, 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('--cli_weather_file', '-c', help='weather cli file', required=True)
required.add_argument('--city_name', '-n', help='city name for dat file', required=True)
try:
args = parser.parse_args()
except SystemExit:
sys.exit()
keep_files = True
# Step 1: Initialize the city model
pickle_file = ''
if ast.literal_eval(args.use_pickle_file):
pickle_file = Path(args.input_geometry_file).resolve()
city = City.load(pickle_file)
else:
city = GeometryFactory(args.geometry_type, Path(args.input_geometry_file).resolve()).city
# Step 2: Populate city adding thermal- and usage-related parameters
populated_step_in_pickle = ast.literal_eval(args.populated_step_in_pickle)
if populated_step_in_pickle:
populated_city = city
else:
populated_city = Populate(city).populated_city
pickle_file = Path(str(pickle_file).replace('.pickle', '_populated.pickle'))
populated_city.save(pickle_file)
if populated_city.buildings is None:
print('No building to be calculated')
sys.exit()
# Step 3: Populate city adding climate-related parameters
weather_step_in_pickle = ast.literal_eval(args.weather_step_in_pickle)
if not weather_step_in_pickle:
city_name = args.city_name
WeatherFactory('dat', populated_city, city_name)
for building in populated_city.buildings:
if 'hour' not in building.external_temperature:
print('No external temperature found')
sys.exit()
if 'month' not in building.external_temperature:
building.external_temperature['month'] = mv.MonthlyValues().\
get_mean_values(building.external_temperature['hour'][['inseldb']])
max_buildings_handled_by_sra = 500
sra_file_name = 'SRA'
sra = SimplifiedRadiosityAlgorithm(Path(args.project_folder).resolve(), sra_file_name,
Path(args.cli_weather_file).resolve(),
city.city_objects, lower_corner=city.lower_corner)
if ast.literal_eval(args.use_cached_sra_file):
sra.results()
sra.set_irradiance_surfaces(populated_city)
else:
total_number_of_buildings = len(city.buildings)
if total_number_of_buildings > max_buildings_handled_by_sra:
radius = 100
for building in city.buildings:
new_city = city.region(building.location, radius)
sra_file_name = 'SRA'
sra_new = SimplifiedRadiosityAlgorithm(Path(args.project_folder).resolve(), sra_file_name,
Path(args.cli_weather_file).resolve(),
new_city.city_objects, lower_corner=new_city.lower_corner)
sra_new.call_sra(keep_files=True)
sra_new.set_irradiance_surfaces(city, building_name=building.name)
else:
sra.call_sra(keep_files=keep_files)
sra.set_irradiance_surfaces(populated_city)
pickle_file = Path(str(pickle_file).replace('.pickle', '_weather.pickle'))
populated_city.save(pickle_file)
# Step 4: Demand calculation (one model per building)
print_results = None
file = 'city name: ' + city.name + '\r\n'
i = 0
for building in populated_city.buildings:
if 3000 < i and building.name != 'BLD122177':
print(building.name)
full_path_out = Path(args.project_folder + '/outputs/' + building.name + '_insel.out').resolve()
full_path_out.parent.mkdir(parents=True, exist_ok=True)
insel_file_name = building.name + '.insel'
try:
content = templates.generate_meb_template(building, full_path_out)
insel = Insel(Path(args.project_folder).resolve(), insel_file_name, content, mode=2, keep_files=keep_files).run()
building.heating['month'], building.cooling['month'] = templates.demand(full_path_out)
new_building = building.heating['month'].rename(columns={'INSEL': building.name})
if print_results is None:
print_results = new_building
else:
print_results = pd.concat([print_results, new_building], axis='columns')
file += '\r\n'
file += 'name: ' + building.name + '\r\n'
file += 'year of construction: ' + building.year_of_construction + '\r\n'
file += 'function: ' + building.function + '\r\n'
except ValueError:
print(sys.exc_info()[1])
print('Building ' + building.name + ' could not be processed')
continue
i += 1
full_path_results = Path(args.project_folder + '/outputs/heating_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)

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"""
Populate city
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""
from factories.physics_factory import PhysicsFactory
from factories.usage_factory import UsageFactory
from city_model_structure.city import City
class Populate:
def __init__(self, city):
self._city = city
self._populated_city = None
self._errors = []
@property
def handler(self):
if self._city.name == 'New York':
handler = '{0}_{1}'
return handler.format(self._city.country_code, self._city.name.lower().replace(' ', '_'))
return self._city.country_code
@property
def errors(self):
return self._errors
@property
def populated_city(self):
if self._populated_city is None:
self._errors = []
# Step 2.1: Thermal parameters
tmp_city = City(self._city.lower_corner, self._city.upper_corner, self._city.srs_name)
PhysicsFactory(self.handler, self._city)
print('original:', len(self._city.buildings))
for building in self._city.buildings:
# infiltration_rate_system_off is a mandatory parameter.
# If it is not returned, extract the building from the calculation list
if building.thermal_zones[0].infiltration_rate_system_off is not None:
tmp_city.add_city_object(building)
if tmp_city.buildings is None:
self._populated_city = tmp_city
return self._populated_city
# Step 2.2: Usage parameters
print('physics:', len(tmp_city.buildings))
UsageFactory(self.handler, tmp_city)
self._populated_city = City(self._city.lower_corner, self._city.upper_corner, self._city.srs_name)
for building in tmp_city.buildings:
# heating_setpoint is a mandatory parameter.
# If it is not returned, extract the building from the calculation list
print(len(building.usage_zones))
if len(building.usage_zones) > 0:
self._populated_city.add_city_object(building)
if self._populated_city.buildings is None:
self._errors.append('no archetype found per usage')
return self._populated_city

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"""
Simplified Radiosity Algorithm
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""
import os
import shutil
from pathlib import Path
import pandas as pd
from helpers import monthly_values as mv
import subprocess
import xmltodict
from collections import OrderedDict
from subprocess import SubprocessError, TimeoutExpired, CalledProcessError
class SimplifiedRadiosityAlgorithm:
# todo: define executable as configurable parameter
# _executable = 'citysim_sra' # for linux
_executable = 'shortwave_integer' # for windows
def __init__(self, sra_working_path, sra_file_name, full_path_cli, city_objects=None,
begin_month=1, begin_day=1, end_month=12, end_day=31, lower_corner=None):
self._full_path_cli = full_path_cli
self._sra_file_name = sra_file_name
self._begin_month = begin_month
self._begin_day = begin_day
self._end_month = end_month
self._end_day = end_day
if lower_corner is None:
lower_corner = [0, 0, 0]
self._lower_corner = lower_corner
self._sra_working_path = sra_working_path
tmp_path = (sra_working_path / 'tmp').resolve()
Path(tmp_path).mkdir(parents=True, exist_ok=True)
# Ensure tmp file is empty
for child in tmp_path.glob('*'):
if child.is_file():
child.unlink()
cache_path = (sra_working_path / 'cache').resolve()
Path(cache_path).mkdir(parents=True, exist_ok=True)
self._full_path_in_sra = (tmp_path / (sra_file_name + '.xml')).resolve()
self._sra_out_file_name = sra_file_name + '_SW.out'
self._full_path_out_sra = (cache_path / self._sra_out_file_name).resolve()
print(self._full_path_in_sra, self._sra_out_file_name, self._full_path_out_sra)
self._out_values = None
self._radiation = []
self._content = OrderedDict()
climate = OrderedDict()
climate['@location'] = self._full_path_cli
climate['@city'] = self.city
simulation = OrderedDict()
simulation['@beginMonth'] = begin_month
simulation['@beginDay'] = begin_day
simulation['@endMonth'] = end_month
simulation['@endDay'] = end_day
city_sim = OrderedDict()
city_sim['@name'] = sra_file_name + '.xml'
city_sim['Simulation'] = simulation
city_sim['Climate'] = climate
self._content['CitySim'] = city_sim
if city_objects is not None:
self.add_city_objects(city_objects)
self.save()
def call_sra(self, keep_files=False):
try:
completed = subprocess.run([self._executable, str(self._full_path_in_sra)])
except (SubprocessError, TimeoutExpired, CalledProcessError) as error:
raise Exception(error)
file = (Path(self._sra_working_path) / 'tmp' / self._sra_out_file_name).resolve()
new_path = (Path(self._sra_working_path) / 'cache' / self._sra_out_file_name).resolve()
try:
shutil.move(str(file), str(new_path))
except Exception:
raise Exception('No SRA output file found')
self._out_values = self.results()
if not keep_files:
os.remove(self._full_path_in_sra)
return completed
def results(self):
if self._out_values is None:
try:
self._out_values = pd.read_csv(self._full_path_out_sra, sep='\s+', header=0)
except Exception:
raise Exception('No SRA output file found')
return self._out_values
@property
def radiation(self) -> []:
if len(self._radiation) == 0:
id_building = ''
header_building = []
for column in self._out_values.columns.values:
if id_building != column.split(':')[1]:
id_building = column.split(':')[1]
if len(header_building) > 0:
self._radiation.append(pd.concat([mv.MonthlyValues().month_hour, self._out_values[header_building]],
axis=1))
header_building = [column]
else:
header_building.append(column)
self._radiation.append(pd.concat([mv.MonthlyValues().month_hour, self._out_values[header_building]], axis=1))
return self._radiation
def set_irradiance_surfaces(self, city, mode=0, building_name=None):
"""
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
mode = 0, set only monthly values
mode = 1, set only hourly values
mode = 2, set both
:parameter city: city
:parameter mode: str (time-scale definition)
:parameter building_name: str
:return: none
"""
for radiation in self.radiation:
city_object_name = radiation.columns.values.tolist()[1].split(':')[1]
if building_name is not None:
if city_object_name != building_name:
continue
city_object = city.city_object(city_object_name)
for column in radiation.columns.values:
if column == 'month':
continue
header_name = column
surface_name = header_name.split(':')[2]
surface = city_object.surface(surface_name)
new_value = pd.DataFrame(radiation[[header_name]].to_numpy(), columns=['sra'])
if mode == 0 or mode == 2:
month_new_value = mv.MonthlyValues().get_mean_values(new_value)
if 'month' not in surface.global_irradiance:
surface.global_irradiance['month'] = month_new_value
else:
pd.concat([surface.global_irradiance['month'], month_new_value], axis=1)
if mode == 1 or mode == 2:
if 'hour' not in surface.global_irradiance:
surface.global_irradiance['hour'] = new_value
else:
pd.concat([surface.global_irradiance['hour'], new_value], axis=1)
@property
def content(self):
return xmltodict.unparse(self._content, pretty=True, short_empty_elements=True)
def save(self):
with open(self._full_path_in_sra, "w") as sra_file:
sra_file.write(self.content)
return
def _correct_points(self, points):
# correct the x, y, z values into the reference frame set by lower_corner parameter
# [0, 0, 0] by default means no correction.
x = points[0] - self._lower_corner[0]
y = points[1] - self._lower_corner[1]
z = points[2] - self._lower_corner[2]
correct_points = [x, y, z]
return correct_points
def add_city_objects(self, city_objects):
buildings = []
for i in range(len(city_objects)):
city_object = city_objects[i]
building = OrderedDict()
building['@Name'] = city_object.name
building['@id'] = i
building['@key'] = city_object.name
building['@Simulate'] = 'True'
walls, roofs, floors = [], [], []
for s in city_object.surfaces:
surface = OrderedDict()
surface['@id'] = s.name
surface['@ShortWaveReflectance'] = s.swr
for j in range(len(s.points - 1)):
points = self._correct_points(s.points[j])
vertex = OrderedDict()
vertex['@x'] = points[0]
vertex['@y'] = points[1]
vertex['@z'] = points[2]
surface['V' + str(j)] = vertex
if s.type == 'Wall':
walls.append(surface)
elif s.type == 'Roof':
roofs.append(surface)
else:
floors.append(surface)
building['Wall'] = walls
building['Roof'] = roofs
building['Floor'] = floors
buildings.append(building)
district = OrderedDict()
district['FarFieldObstructions'] = None
district['Building'] = buildings
self._content['CitySim']['District'] = district
return
@property
def city(self):
with open(self._full_path_cli, 'r') as file:
return file.readline().replace('\n', '')

189
tests/test_meb_workflow.py Normal file
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@ -0,0 +1,189 @@
"""
TestMebWorkflow tests and validates the complete Monthly Energy Balance workflow
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""
from pathlib import Path
from unittest import TestCase
import numpy as np
import subprocess
from subprocess import SubprocessError, TimeoutExpired, CalledProcessError
from insel.insel import Insel
from insel.templates.monthly_energy_balance import MonthlyEnergyBalance as templates
from factories.geometry_factory import GeometryFactory
from populate import Populate
from factories.weather_factory import WeatherFactory
from helpers import monthly_values as mv
from simplified_radiosity_algorithm.simplified_radiosity_algorithm import SimplifiedRadiosityAlgorithm as sralgorithm
from city_model_structure.city import City
class TestMebWorkflow(TestCase):
"""
TestMebWorkflow TestCase 1
"""
def setUp(self) -> None:
"""
Test setup
:return: None
"""
self._example_path = (Path(__file__).parent.parent / 'tests_data').resolve()
self._geometry_type = 'citygml'
self._use_cached_sra_file = False
self._input_geometry_file = (self._example_path / 'gis' / '2050 bp_2buildings.gml').resolve()
self._project_folder = Path(__file__).parent.parent
self._cli_weather_file = (self._example_path / 'weather' / 'inseldb_new_york_city.cli').resolve()
self._city_gml = None
self._city = None
self._populated_city = None
self._monthly_temperatures = None
self._city_with_weather = None
self._city_with_cli = None
self._city_with_dat = None
self._pickle_file = (self._example_path / 'gis' / 'kelowna_test_case.pickle').resolve()
self._pickle_file_populated = Path(str(self._pickle_file).replace('.pickle', '_populated.pickle'))
self._pickle_file_populated_weather = Path(str(self._pickle_file_populated).replace('.pickle', '_weather.pickle'))
self._city_name = 'Summerland'
def _get_citygml(self, use_pickle=False):
if self._city_gml is None:
if use_pickle:
self._city_gml = City.load(self._pickle_file)
else:
file_path = self._input_geometry_file
self._city_gml = GeometryFactory('citygml', file_path).city
self.assertIsNotNone(self._city_gml, 'city is none')
return self._city_gml
def _get_citygml_populated(self, use_pickle):
if self._populated_city is None:
self._city = self._get_citygml(use_pickle=use_pickle)
self._populated_city = Populate(self._city).populated_city
return self._populated_city
def _get_citygml_with_weather(self, use_pickle):
if self._city_with_weather is None:
self._city_with_weather = self._get_citygml(use_pickle=use_pickle)
weather_path = (self._example_path / 'weather').resolve()
WeatherFactory('dat', self._city_with_weather, city_name=self._city_name, base_path=weather_path)
for building in self._city_with_weather.buildings:
building.external_temperature['month'] = mv.MonthlyValues(). \
get_mean_values(building.external_temperature['hour'][['inseldb']])
sra_file_name = 'SRA'
sra = sralgorithm(Path(self._project_folder).resolve(), sra_file_name, Path(self._cli_weather_file).resolve(),
self._city_with_weather.city_objects, lower_corner=self._city_with_weather.lower_corner)
if self._use_cached_sra_file:
sra.results()
else:
sra.call_sra(keep_files=True)
sra.set_irradiance_surfaces(self._city_with_weather)
return self._city_with_weather
def _get_cli_single_building(self, building_name, radius, use_pickle):
self._city_with_cli = self._get_citygml(use_pickle=use_pickle)
building = self._city_with_cli.city_object(building_name)
new_city = self._city_with_cli.region(building.location, radius)
sra_file_name = 'SRA'
print('location', building.location)
print('lower corner', new_city.lower_corner)
full_path_cli = (self._example_path / 'weather' / 'inseldb_Summerland.cli').resolve()
sra = sralgorithm(Path(self._project_folder).resolve(), sra_file_name, full_path_cli, new_city.city_objects,
lower_corner=new_city.lower_corner)
sra.call_sra(keep_files=True)
sra.set_irradiance_surfaces(self._city_with_cli, building_name=building_name)
return self._city_with_cli
def _get_city_with_dat(self, use_pickle):
if self._city_with_dat is None:
self._city_with_dat = self._get_citygml(use_pickle=use_pickle)
weather_path = (self._example_path / 'weather').resolve()
WeatherFactory('dat', self._city_with_dat, city_name=self._city_name, base_path=weather_path)
for building in self._city_with_dat.buildings:
building.external_temperature['month'] = mv.MonthlyValues(). \
get_mean_values(building.external_temperature['hour'][['inseldb']])
return self._city_with_dat
def test_populate_city(self):
"""
Test populate class
:return: none
"""
# populated_city = self._get_citygml_populated(True)
# populated_city.save(pickle_file_populated)
populated_city = City.load(self._pickle_file_populated)
self.assertIsNotNone(populated_city.city_objects, 'city_objects is none')
for building in populated_city.buildings:
self.assertIsNotNone(building.usage_zones, 'city_object return none')
self.assertIsNotNone(building.thermal_zones, 'city_object return none')
def test_weather_assignment(self):
"""
Test the weather assignment
:return: none
"""
weather_city = self._get_citygml_with_weather(False)
for building in weather_city.buildings:
self.assertFalse(building.external_temperature['month'].empty, 'monthly external temperature return none')
for surface in building.surfaces:
if surface.type != 'Ground':
self.assertIsNotNone(surface.global_irradiance['month'], 'monthly irradiance return none')
def test_insel_call(self):
"""
Test the insel template generation and engine call
:return: none
"""
self._get_citygml_populated(False)
city = self._get_citygml_with_weather(False)
expected_values = [[13619.57, 3.65], [14886.33, 1.67]]
i = 0
for building in city.buildings:
full_path_out = Path(self._project_folder / 'outputs' / (building.name + '_insel.out')).resolve()
full_path_out.parent.mkdir(parents=True, exist_ok=True)
insel_file_name = building.name + '.insel'
content = templates.generate_meb_template(building, full_path_out)
self.assertIsNotNone(content, 'content return empty')
Insel(Path(self._project_folder).resolve(), insel_file_name, content, mode=2,
keep_files=True).run()
building.heating['month'], building.cooling['month'] = templates.demand(full_path_out)
values = building.heating['month'][['INSEL']].to_numpy()
self.assertEqual(expected_values[i][0], np.around(float(values[11]), decimals=2), 'wrong value monthly heating')
values = building.cooling['month'][['INSEL']].to_numpy()
self.assertEqual(expected_values[i][1], np.around(float(values[11]), decimals=2), 'wrong value monthly cooling')
i += 1
def test_city_with_weather_building_by_building(self):
radius = 100
building_names = ['BLD100086', 'BLD131702', 'BLD132148', 'BLD126221', 'BLD131081', 'BLD135303', 'BLD130088',
'BLD128703', 'BLD121900', 'BLD141378', 'BLD135375', 'BLD126801', 'BLD120774', 'BLD118577',
'BLD129395', 'BLD126848', 'BLD115972', 'BLD138959', 'BLD122103', 'BLD114335', 'BLD124272',
'BLD107027', 'BLD105415', 'BLD129867', 'BLD133164', 'BLD119241', 'BLD106658', 'BLD114097',
'BLD130182', 'BLD121456', 'BLD123516', 'BLD126061', 'BLD128845', 'BLD138802', 'BLD129673']
building_names = ['BLD100086']
city = self._get_city_with_dat(True)
for building in city.buildings:
self.assertTrue(building.external_temperature, 'external temperature return none')
for building_name in building_names:
print(building_name)
weather_city = self._get_cli_single_building(building_name, radius, True)
# for building in weather_city.city_objects:
# if building.name == building_name:
# for surface in building.surfaces:
# if surface.type != 'Ground':
# self.assertTrue(surface.global_irradiance, 'global irradiance return none in calculated building')
# else:
# for surface in building.surfaces:
# self.assertFalse(surface.global_irradiance, 'global irradiance return not none in not calculated building')
def test_sra(self):
_executable = 'shortwave_integer'
_full_path_in = (Path(__file__).parent.parent / 'tmp\SRA.xml').resolve()
try:
completed = subprocess.run([_executable, str(_full_path_in)])
except (SubprocessError, TimeoutExpired, CalledProcessError) as error:
raise Exception(error)

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<?xml version="1.0" encoding="utf-8"?>
<CityModel>
<name>Gowanus 2050 Best Practice Scenario</name>
<boundedBy>
<Envelope srsName="EPSG:32118" srsDimension="3" xmlns:brid="http://www.opengis.net/citygml/bridge/2.0" xmlns:tran="http://www.opengis.net/citygml/transportation/2.0" xmlns:frn="http://www.opengis.net/citygml/cityfurniture/2.0" xmlns:wtr="http://www.opengis.net/citygml/waterbody/2.0" xmlns:sch="http://www.ascc.net/xml/schematron" xmlns:veg="http://www.opengis.net/citygml/vegetation/2.0" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:tun="http://www.opengis.net/citygml/tunnel/2.0" xmlns:tex="http://www.opengis.net/citygml/texturedsurface/2.0" xmlns:gml="http://www.opengis.net/gml" xmlns:gen="http://www.opengis.net/citygml/generics/2.0" xmlns:dem="http://www.opengis.net/citygml/relief/2.0" xmlns:app="http://www.opengis.net/citygml/appearance/2.0" xmlns:luse="http://www.opengis.net/citygml/landuse/2.0" xmlns:xAL="urn:oasis:names:tc:ciq:xsdschema:xAL:2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:smil20lang="http://www.w3.org/2001/SMIL20/Language" xmlns:pbase="http://www.opengis.net/citygml/profiles/base/2.0" xmlns:smil20="http://www.w3.org/2001/SMIL20/" xmlns:bldg="http://www.opengis.net/citygml/building/2.0" xmlns:core="http://www.opengis.net/citygml/2.0" xmlns:grp="http://www.opengis.net/citygml/cityobjectgroup/2.0">
<lowerCorner>299606.4441129853 55348.37638737355 0</lowerCorner>
<upperCorner>301879.9050504853 57594.05119206105 62.04879541695123</upperCorner>
</Envelope>
</boundedBy>
<cityObjectMember>
<Building id="GBP__169">
<stringAttribute name="PLUTO_year_built">
<value>1965</value>
</stringAttribute>
<stringAttribute name="PLUTO_building_class">
<value>I1</value>
</stringAttribute>
<lod1Solid>
<Solid srsName="EPSG:32118" srsDimension="3">
<exterior>
<CompositeSurface>
<surfaceMember>
<Polygon>
<exterior>
<LinearRing>
<posList>301010.4314176728 57301.3749225298 10.786276534199727 301004.1125700165 57288.87345768605 10.786276534199727 301024.4275114228 57311.0624225298 10.786276534199727 301010.4314176728 57301.3749225298 10.786276534199727</posList>
</LinearRing>
</exterior>
</Polygon>
</surfaceMember>
<surfaceMember>
<Polygon>
<exterior>
<LinearRing>
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</LinearRing>
</exterior>
</Polygon>
</surfaceMember>
<surfaceMember>
<Polygon>
<exterior>
<LinearRing>
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View File

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File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff