first version of weather factory and related files

This commit is contained in:
pilar 2020-10-29 07:40:40 -04:00
parent b3f8647036
commit f4ea7686a5
7 changed files with 17642 additions and 41 deletions

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@ -50,6 +50,12 @@ class Building(CityObject):
self._m_external_temperature = pd.DataFrame()
self._h_external_temperature = pd.DataFrame()
self._external_temperature = pd.DataFrame()
self._h_global_horizontal = pd.DataFrame()
self._global_horizontal = pd.DataFrame()
self._h_diffuse = pd.DataFrame()
self._diffuse = pd.DataFrame()
self._h_beam = pd.DataFrame()
self._beam = pd.DataFrame()
# ToDo: Check this for LOD4
self._thermal_zones = []
@ -425,7 +431,7 @@ class Building(CityObject):
def external_temperature(self, time_scale) -> pd.DataFrame:
"""
Get cooling demand in Wh in a defined time_scale
Get external temperature surrounding the building in grads Celsius in a defined time_scale
:param time_scale: string.
:return: DataFrame(float)
"""
@ -436,3 +442,97 @@ class Building(CityObject):
else:
raise NotImplementedError
return self._external_temperature
@property
def _hourly_global_horizontal(self) -> pd.DataFrame:
"""
global horizontal radiation surrounding the building in W/m2 hourly based
:return: DataFrame with 8760 values and a header with the source of those
"""
return self._h_global_horizontal
@_hourly_global_horizontal.setter
def _hourly_global_horizontal(self, value):
"""
global horizontal radiation surrounding the building in W/m2 hourly based
:param value: DataFrame(external temperature)
"""
if self._h_global_horizontal.empty:
self._h_global_horizontal = value
else:
self._h_global_horizontal = pd.concat([self._h_global_horizontal, value], axis=1)
def global_horizontal(self, time_scale) -> pd.DataFrame:
"""
Get global horizontal radiation surrounding the building in W/m2 in a defined time_scale
:param time_scale: string.
:return: DataFrame(float)
"""
if time_scale == cte.time_scale['hour']:
self._global_horizontal = self._hourly_global_horizontal
else:
raise NotImplementedError
return self._global_horizontal
@property
def _hourly_diffuse(self) -> pd.DataFrame:
"""
diffuse radiation surrounding the building in W/m2 hourly based
:return: DataFrame with 8760 values and a header with the source of those
"""
return self._h_diffuse
@_hourly_diffuse.setter
def _hourly_diffuse(self, value):
"""
diffuse radiation surrounding the building in W/m2 hourly based
:param value: DataFrame(external temperature)
"""
if self._h_diffuse.empty:
self._h_diffuse = value
else:
self._h_diffuse = pd.concat([self._h_diffuse, value], axis=1)
def diffuse(self, time_scale) -> pd.DataFrame:
"""
Get diffuse radiation surrounding the building in W/m2 in a defined time_scale
:param time_scale: string.
:return: DataFrame(float)
"""
if time_scale == cte.time_scale['hour']:
self._diffuse = self._hourly_diffuse
else:
raise NotImplementedError
return self._diffuse
@property
def _hourly_beam(self) -> pd.DataFrame:
"""
beam radiation surrounding the building in W/m2 hourly based
:return: DataFrame with 8760 values and a header with the source of those
"""
return self._h_beam
@_hourly_beam.setter
def _hourly_beam(self, value):
"""
beam radiation surrounding the building in W/m2 hourly based
:param value: DataFrame(external temperature)
"""
if self._h_beam.empty:
self._h_beam = value
else:
self._h_beam = pd.concat([self._h_beam, value], axis=1)
def beam(self, time_scale) -> pd.DataFrame:
"""
Get beam radiation surrounding the building in W/m2 in a defined time_scale
:param time_scale: string.
:return: DataFrame(float)
"""
if time_scale == cte.time_scale['hour']:
self._beam = self._hourly_beam
else:
raise NotImplementedError
return self._beam

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@ -4,7 +4,7 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""
from factories.weather.weather_feeders.cli_weather_parameters import CliWeatherParameters
from pathlib import Path
from factories.weather.weather_feeders.dat_weather_parameters import DatWeatherParameters
@ -14,17 +14,14 @@ class WeatherFactory:
"""
# todo: modify full_path_weather to make it depending on "city"
def __init__(self, handler, city, full_path_weather):
def __init__(self, handler, city, base_path=Path(Path(__file__).parent.parent / 'data/weather')):
self._handler = '_' + handler.lower().replace(' ', '_')
self._city = city
self._full_path_weather = full_path_weather
self._base_path = base_path
self.factory()
def _cli(self):
CliWeatherParameters(self._full_path_weather)
def _dat(self):
DatWeatherParameters(self._full_path_weather)
DatWeatherParameters(self._city, Path(self._base_path / 'inseldb' + self._handler + '.dat'))
def _tmy(self):
raise Exception('Not implemented')

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@ -1,13 +0,0 @@
"""
CliWeatherParameters class to extract weather parameters from a defined region in .cli format
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""
class CliWeatherParameters:
"""
CliWeatherParameters class
"""
def __init__(self, full_path_weather):
self._full_path_weather = full_path_weather

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@ -11,14 +11,19 @@ class DatWeatherParameters:
"""
DatWeatherParameters class
"""
def __init__(self, full_path_weather):
self._full_path_weather = full_path_weather
def __init__(self, city, path):
self._path = path
self._weather_values = None
self._city = city
def weather_values(self):
if self._full_path_weather is not None:
# TODO: catch error if file does not exist
if self._weather_values is None:
self._weather_values = pd.read_csv(self._full_path_weather, sep='\s+', header=None,
names=['hour', 'global_horiz', 'temperature', 'diffuse', 'beam', 'empty'])
return self._weather_values
# TODO: catch error if file does not exist
if self._weather_values is None:
self._weather_values = pd.read_csv(self._path, sep='\s+', header=None,
names=['hour', 'global_horiz', 'temperature', 'diffuse', 'beam', 'empty'])
for building in self._city.buildings:
building._hourly_external_temperature = pd.DataFrame(self._weather_values[['temperature']], columns=['inseldb'])
building._hourly_global_horizontal = pd.DataFrame(self._weather_values[['global_horiz']], columns=['inseldb'])
building._hourly_diffuse = pd.DataFrame(self._weather_values[['diffuse']], columns=['inseldb'])
building._hourly_beam = pd.DataFrame(self._weather_values[['beam']], columns=['inseldb'])

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@ -1,21 +1,9 @@
import math
import pandas as pd
import helpers.constants as cte
from helpers import monthly_values as mv
class Weather(object):
def __init__(self, weather_values):
self._weather_values = pd.concat([mv.MonthlyValues().month_hour, weather_values], axis=1)
self._temperatures_hourly = None
@property
def external_and_sky_temperatures(self):
if self._temperatures_hourly is None:
self._temperatures_hourly = self._weather_values[['month', 'temperature']]
sky_temperature = self.sky_temperature(self._temperatures_hourly)
self._temperatures_hourly = pd.concat([self._temperatures_hourly, sky_temperature], axis=1)
return self._temperatures_hourly
@staticmethod
def sky_temperature(ambient_temperature):