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ShadingFactor_Monthly.py
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# -*- coding: utf-8 -*-
"""
Created on Thu Jul 20 17:26:05 2023
@author: FBattini
"""
# %%
from eppy.modeleditor import IDF
import pandas as pd
import os
# %%
def shadingFactor_Monthly(fnameRad, fileRad, climate, epw, detailedRadiationAnalysisMonthlyPath, baseFolderPath):
# %% Analyze radiation results
idf1 = IDF(fnameRad)
csvFile = fnameRad.split(".")[0] + ".csv"
resultsFile = pd.read_csv(csvFile, index_col = 0)
resultsFile = resultsFile.filter(regex = "GLZ")
windows = idf1.idfobjects["FenestrationSurface:Detailed"]
zones = idf1.idfobjects["Zone"]
for i in range(len(zones)):
resultsFile["northRadiation_Flr"+str(i+1)], resultsFile["eastRadiation_Flr"+str(i+1)], resultsFile["southRadiation_Flr"+str(i+1)], resultsFile["westRadiation_Flr"+str(i+1)] = 0, 0, 0, 0
areaNorthFlr1, areaEastFlr1, areaSouthFlr1, areaWestFlr1 = 0, 0, 0, 0
if len(zones) == 2:
areaNorthFlr2, areaEastFlr2, areaSouthFlr2, areaWestFlr2 = 0, 0, 0, 0
if len(zones) == 3:
areaNorthFlr2, areaEastFlr2, areaSouthFlr2, areaWestFlr2 = 0, 0, 0, 0
areaNorthFlr3, areaEastFlr3, areaSouthFlr3, areaWestFlr3 = 0, 0, 0, 0
if len(zones) == 4:
areaNorthFlr2, areaEastFlr2, areaSouthFlr2, areaWestFlr2 = 0, 0, 0, 0
areaNorthFlr3, areaEastFlr3, areaSouthFlr3, areaWestFlr3 = 0, 0, 0, 0
areaNorthFlr4, areaEastFlr4, areaSouthFlr4, areaWestFlr4 = 0, 0, 0, 0
for i in range(len(windows)):
if windows[i].Name.upper() in resultsFile.iloc[:,i].name:
if windows[i].azimuth > 315 or windows[i].azimuth <= 45:
if zones[0].Name in windows[i].Name:
resultsFile["northRadiation_Flr1"] +=resultsFile.iloc[:,i]*windows[i].area
areaNorthFlr1 += windows[i].area
if len(zones) > 1:
if zones[1].Name in windows[i].Name:
resultsFile["northRadiation_Flr2"] +=resultsFile.iloc[:,i]*windows[i].area
areaNorthFlr2 += windows[i].area
if len(zones) > 2:
if zones[2].Name in windows[i].Name:
resultsFile["northRadiation_Flr3"] +=resultsFile.iloc[:,i]*windows[i].area
areaNorthFlr3 += windows[i].area
if len(zones) > 3:
if zones[3].Name in windows[i].Name:
resultsFile["northRadiation_Flr4"] +=resultsFile.iloc[:,i]*windows[i].area
areaNorthFlr4 += windows[i].area
if windows[i].azimuth > 45 and windows[i].azimuth <= 135:
if zones[0].Name in windows[i].Name:
resultsFile["eastRadiation_Flr1"] +=resultsFile.iloc[:,i]*windows[i].area
areaEastFlr1 += windows[i].area
if len(zones) > 1:
if zones[1].Name in windows[i].Name:
resultsFile["eastRadiation_Flr2"] +=resultsFile.iloc[:,i]*windows[i].area
areaEastFlr2 += windows[i].area
if len(zones) > 2:
if zones[2].Name in windows[i].Name:
resultsFile["eastRadiation_Flr3"] +=resultsFile.iloc[:,i]*windows[i].area
areaEastFlr3 += windows[i].area
if len(zones) > 3:
if zones[3].Name in windows[i].Name:
resultsFile["eastRadiation_Flr4"] +=resultsFile.iloc[:,i]*windows[i].area
areaEastFlr4 += windows[i].area
if windows[i].azimuth > 135 and windows[i].azimuth <= 225:
if zones[0].Name in windows[i].Name:
resultsFile["southRadiation_Flr1"] +=resultsFile.iloc[:,i]*windows[i].area
areaSouthFlr1 += windows[i].area
if len(zones) > 1:
if zones[1].Name in windows[i].Name:
resultsFile["southRadiation_Flr2"] +=resultsFile.iloc[:,i]*windows[i].area
areaSouthFlr2 += windows[i].area
if len(zones) > 2:
if zones[2].Name in windows[i].Name:
resultsFile["southRadiation_Flr3"] +=resultsFile.iloc[:,i]*windows[i].area
areaSouthFlr3 += windows[i].area
if len(zones) > 3:
if zones[3].Name in windows[i].Name:
resultsFile["southRadiation_Flr4"] +=resultsFile.iloc[:,i]*windows[i].area
areaSouthFlr4 += windows[i].area
if windows[i].azimuth > 225 and windows[i].azimuth <= 315:
if zones[0].Name in windows[i].Name:
resultsFile["westRadiation_Flr1"] +=resultsFile.iloc[:,i]*windows[i].area
areaWestFlr1 += windows[i].area
if len(zones) > 1:
if zones[1].Name in windows[i].Name:
resultsFile["westRadiation_Flr2"] +=resultsFile.iloc[:,i]*windows[i].area
areaWestFlr2 += windows[i].area
if len(zones) > 2:
if zones[2].Name in windows[i].Name:
resultsFile["westRadiation_Flr3"] +=resultsFile.iloc[:,i]*windows[i].area
areaWestFlr3 += windows[i].area
if len(zones) > 3:
if zones[3].Name in windows[i].Name:
resultsFile["westRadiation_Flr4"] +=resultsFile.iloc[:,i]*windows[i].area
areaWestFlr4 += windows[i].area
else:
print(windows[i].Name)
#print("Window mismatch")
if len(zones) == 1:
resultsFile.iloc[:,len(windows)] = resultsFile.iloc[:,len(windows)]/areaNorthFlr1
resultsFile.iloc[:,len(windows)+1] = resultsFile.iloc[:,len(windows)+1]/areaEastFlr1
resultsFile.iloc[:,len(windows)+2] = resultsFile.iloc[:,len(windows)+2]/areaSouthFlr1
resultsFile.iloc[:,len(windows)+3] = resultsFile.iloc[:,len(windows)+3]/areaWestFlr1
radiationDF = resultsFile.iloc[:,-4*len(zones):]
if len(zones) == 2:
resultsFile.iloc[:,len(windows)] = resultsFile.iloc[:,len(windows)]/areaNorthFlr1
resultsFile.iloc[:,len(windows)+1] = resultsFile.iloc[:,len(windows)+1]/areaEastFlr1
resultsFile.iloc[:,len(windows)+2] = resultsFile.iloc[:,len(windows)+2]/areaSouthFlr1
resultsFile.iloc[:,len(windows)+3] = resultsFile.iloc[:,len(windows)+3]/areaWestFlr1
resultsFile.iloc[:,len(windows)+4] = resultsFile.iloc[:,len(windows)+4]/areaNorthFlr2
resultsFile.iloc[:,len(windows)+5] = resultsFile.iloc[:,len(windows)+5]/areaEastFlr2
resultsFile.iloc[:,len(windows)+6] = resultsFile.iloc[:,len(windows)+6]/areaSouthFlr2
resultsFile.iloc[:,len(windows)+7] = resultsFile.iloc[:,len(windows)+7]/areaWestFlr2
radiationDF = resultsFile.iloc[:,-4*len(zones):]
if len(zones) == 3:
resultsFile.iloc[:,len(windows)] = resultsFile.iloc[:,len(windows)]/areaNorthFlr1
resultsFile.iloc[:,len(windows)+1] = resultsFile.iloc[:,len(windows)+1]/areaEastFlr1
resultsFile.iloc[:,len(windows)+2] = resultsFile.iloc[:,len(windows)+2]/areaSouthFlr1
resultsFile.iloc[:,len(windows)+3] = resultsFile.iloc[:,len(windows)+3]/areaWestFlr1
resultsFile.iloc[:,len(windows)+4] = resultsFile.iloc[:,len(windows)+4]/areaNorthFlr2
resultsFile.iloc[:,len(windows)+5] = resultsFile.iloc[:,len(windows)+5]/areaEastFlr2
resultsFile.iloc[:,len(windows)+6] = resultsFile.iloc[:,len(windows)+6]/areaSouthFlr2
resultsFile.iloc[:,len(windows)+7] = resultsFile.iloc[:,len(windows)+7]/areaWestFlr2
resultsFile.iloc[:,len(windows)+8] = resultsFile.iloc[:,len(windows)+8]/areaNorthFlr3
resultsFile.iloc[:,len(windows)+9] = resultsFile.iloc[:,len(windows)+9]/areaEastFlr3
resultsFile.iloc[:,len(windows)+10] = resultsFile.iloc[:,len(windows)+10]/areaSouthFlr3
resultsFile.iloc[:,len(windows)+11] = resultsFile.iloc[:,len(windows)+11]/areaWestFlr3
radiationDF = resultsFile.iloc[:,-4*len(zones):]
if len(zones) == 4:
resultsFile.iloc[:,len(windows)] = resultsFile.iloc[:,len(windows)]/areaNorthFlr1
resultsFile.iloc[:,len(windows)+1] = resultsFile.iloc[:,len(windows)+1]/areaEastFlr1
resultsFile.iloc[:,len(windows)+2] = resultsFile.iloc[:,len(windows)+2]/areaSouthFlr1
resultsFile.iloc[:,len(windows)+3] = resultsFile.iloc[:,len(windows)+3]/areaWestFlr1
resultsFile.iloc[:,len(windows)+4] = resultsFile.iloc[:,len(windows)+4]/areaNorthFlr2
resultsFile.iloc[:,len(windows)+5] = resultsFile.iloc[:,len(windows)+5]/areaEastFlr2
resultsFile.iloc[:,len(windows)+6] = resultsFile.iloc[:,len(windows)+6]/areaSouthFlr2
resultsFile.iloc[:,len(windows)+7] = resultsFile.iloc[:,len(windows)+7]/areaWestFlr2
resultsFile.iloc[:,len(windows)+8] = resultsFile.iloc[:,len(windows)+8]/areaNorthFlr3
resultsFile.iloc[:,len(windows)+9] = resultsFile.iloc[:,len(windows)+9]/areaEastFlr3
resultsFile.iloc[:,len(windows)+10] = resultsFile.iloc[:,len(windows)+10]/areaSouthFlr3
resultsFile.iloc[:,len(windows)+11] = resultsFile.iloc[:,len(windows)+11]/areaWestFlr3
resultsFile.iloc[:,len(windows)+12] = resultsFile.iloc[:,len(windows)+12]/areaNorthFlr4
resultsFile.iloc[:,len(windows)+13] = resultsFile.iloc[:,len(windows)+13]/areaEastFlr4
resultsFile.iloc[:,len(windows)+14] = resultsFile.iloc[:,len(windows)+14]/areaSouthFlr4
resultsFile.iloc[:,len(windows)+15] = resultsFile.iloc[:,len(windows)+15]/areaWestFlr4
radiationDF = resultsFile.iloc[:,-4*len(zones):]
#radiationDF.to_csv(fnameRad.split(".")[0] + "_Radiation.csv")
# %% Compute shadings
# get shoebox base files
shoeboxRadFiles = []
for file in os.listdir(baseFolderPath):
if file.endswith(".csv") and "Shoebox" in file and "Monthly" in file:
shoeboxRadFiles.append(file)
# check if shoebox file is available for this climate, if yes, get it
for shoeboxRadFile in shoeboxRadFiles:
if climate in shoeboxRadFile:
shoeboxRadiationFile = shoeboxRadFile
shoeboxRadiation = pd.read_csv(baseFolderPath + '/' + shoeboxRadiationFile, index_col = 0)
# if it is not available, create it, simulate it and get the results in the right format
try:
shoeboxRadiation
except NameError or UnboundLocalError:
fname = baseFolderPath + "/ShoeboxRadiation.idf"
idf1 = IDF(fname, epw)
Output = idf1.idfobjects["Output:Variable"]
Output[0].Reporting_Frequency = "Monthly"
idf1.run(output_prefix = "ShoeboxRadiation_" + climate + "_Monthly", readvars=True)
# remove simulation files
for file in os.listdir(baseFolderPath):
if os.path.isfile(file):
if not file.endswith(".csv") and not file.endswith(".idf") and not file.endswith(".txt") and not file.endswith(".py"):
os.remove(file)
# rename to remove "out" in name
for file in os.listdir(baseFolderPath):
if os.path.isfile(file):
if climate in file and "Monthly" in file:
os.rename(file, "ShoeboxRadiation_" + climate + "_Monthly.csv")
# postprocess results to make them ready to be used
radiationFileToModify = pd.read_csv("ShoeboxRadiation_" + climate + "_Monthly.csv")
shoeboxRadiation = pd.DataFrame({"northRadiation": radiationFileToModify.iloc[:,4].values,
"eastRadiation": radiationFileToModify.iloc[:,3].values,
"southRadiation": radiationFileToModify.iloc[:,2].values,
"westRadiation": radiationFileToModify.iloc[:,1].values},
index = radiationFileToModify.iloc[:,0].values)
shoeboxRadiation.to_csv("ShoeboxRadiation_" + climate + "_Monthly.csv")
# combine building and shoebox data to get shading ratios
buildingRadiation = radiationDF.copy()
shadingFactor = pd.DataFrame([])
if len(buildingRadiation.columns) > 3:
shadingFactor["northShading_Flr1"] = 1 - (buildingRadiation.iloc[:,0]/shoeboxRadiation.iloc[:,0])
shadingFactor["eastShading_Flr1"] = 1 - (buildingRadiation.iloc[:,1]/shoeboxRadiation.iloc[:,1])
shadingFactor["southShading_Flr1"] = 1 - (buildingRadiation.iloc[:,2]/shoeboxRadiation.iloc[:,2])
shadingFactor["westShading_Flr1"] = 1 - (buildingRadiation.iloc[:,3]/shoeboxRadiation.iloc[:,3])
if len(buildingRadiation.columns) > 7:
shadingFactor["northShading_Flr2"] = 1 - (buildingRadiation.iloc[:,4]/shoeboxRadiation.iloc[:,0])
shadingFactor["eastShading_Flr2"] = 1 - (buildingRadiation.iloc[:,5]/shoeboxRadiation.iloc[:,1])
shadingFactor["southShading_Flr2"] = 1 - (buildingRadiation.iloc[:,6]/shoeboxRadiation.iloc[:,2])
shadingFactor["westShading_Flr2"] = 1 - (buildingRadiation.iloc[:,7]/shoeboxRadiation.iloc[:,3])
if len(buildingRadiation.columns) > 11:
shadingFactor["northShading_Flr3"] = 1 - (buildingRadiation.iloc[:,8]/shoeboxRadiation.iloc[:,0])
shadingFactor["eastShading_Flr3"] = 1 - (buildingRadiation.iloc[:,9]/shoeboxRadiation.iloc[:,1])
shadingFactor["southShading_Flr3"] = 1 - (buildingRadiation.iloc[:,10]/shoeboxRadiation.iloc[:,2])
shadingFactor["westShading_Flr3"] = 1 - (buildingRadiation.iloc[:,11]/shoeboxRadiation.iloc[:,3])
if len(buildingRadiation.columns) > 15:
shadingFactor["northShading_Flr4"] = 1 - (buildingRadiation.iloc[:,12]/shoeboxRadiation.iloc[:,0])
shadingFactor["eastShading_Flr4"] = 1 - (buildingRadiation.iloc[:,13]/shoeboxRadiation.iloc[:,1])
shadingFactor["southShading_Flr4"] = 1 - (buildingRadiation.iloc[:,14]/shoeboxRadiation.iloc[:,2])
shadingFactor["westShading_Flr4"] = 1 - (buildingRadiation.iloc[:,15]/shoeboxRadiation.iloc[:,3])
shadingFactor.to_csv(detailedRadiationAnalysisMonthlyPath + fileRad.split(".")[0] + ".csv")