def solarinfo(self):
"""Computes the area, azimuth, and tilt for each roof surface (id compulsory)."""
place = (52.01, 4.36)
for roofsurface in self.roofsurfaces:
#-- Skip the openings
if roofsurface.attrib['{%s}id' %ns_gml] in self.listOfOpenings:
continue
#-- Add it to the list
listofxmlroofsurfaces.append(roofsurface)
#-- gml:id of the polygon
pid = roofsurface.attrib['{%s}id' %ns_gml]
#-- Area
area = polygon3dmodule.getAreaOfGML(roofsurface, True)
#-- Compute the normal
norm = polygon3dmodule.getNormal(markup3dmodule.GMLpoints(markup3dmodule.polydecomposer(roofsurface)[0][0]))
#-- Get the azimuth and tilt from the surface normal
az, tilt = polygon3dmodule.getAngles(norm)
az = round(az, 3)
#-- 360 -> 0 degrees
if az == 360.0:
az = 0.0
tilt = round(tilt, 3)
#-- Peculiar problems with the normals, with a cheap solution. Luckily very uncommon.
if tilt == 180:
tilt = 0.0
if tilt >= 180:
tilt = tilt - 180.01
elif tilt > 90:
tilt = tilt - 90.01
elif tilt == 90:
tilt = 89.9
#-- Flat surfaces always have the azimuth zero
if tilt == 0.0:
az = 0.0
#-- If the TOF file is loaded, sample the irradiance
if loadDict:
irradiation = irr_from_tof(tilt, az)
#-- If the TOF file is not loaded, estimate the values
else:
irradiation = irr.yearly_total_irr(place, az, tilt)
#-- Add the values
self.roofdata[pid] = {'area' : area, 'azimuth' : az, 'tilt' : tilt, 'irradiation' : irradiation, 'total_irradiation' : irradiation*area}
roofsurfacedata[pid] = {'area' : area, 'azimuth' : az, 'tilt' : tilt, 'irradiation' : irradiation, 'total_irradiation' : irradiation*area}
#self.roofdata.append([self.id, pid, area, az, tilt, irradiation, irradiation*area])
self.sumIrr = 0
#-- Sum the values for the building
for rs in self.roofdata:
self.sumIrr += self.roofdata[rs]['total_irradiation']
TOF = pickle.load(myFile)
else:
# -- Create the dictionary
TOF = {}
# -- For each azimuth
for az in azimuths:
# -- Open a sub-dictionary
TOF[str(az)] = {}
# -- For each tilt
for tr in tilts:
# -- Get the total yearly solar irradiation
total = irr.yearly_total_irr(PLACE, az, tr) # , INTERVAL, cloud_cover)
# -- Store it in the dictionary
TOF[str(az)][str(tr)] = total
# -- Print the progress
print "Azimuth:", az, "\tTilt:", tr, "\tIrradiation:", total, "kWh/m^2"
# -- Store the obtained values to save time later
if TOF:
with open("TOF.dict", "wb") as dict_items_save:
pickle.dump(TOF, dict_items_save)
if PLOT:
# -- Plotting time!
import matplotlib as mpl
def solarinfo(self):
"""Computes the area, azimuth, and tilt for each roof surface (id compulsory)."""
place = (52.01, 4.36)
for roofsurface in self.roofsurfaces:
#-- Skip the openings
if roofsurface.attrib['{%s}id' % ns_gml] in self.listOfOpenings:
continue
#-- Add it to the list
listofxmlroofsurfaces.append(roofsurface)
#-- gml:id of the polygon
pid = roofsurface.attrib['{%s}id' % ns_gml]
#-- Area
area = polygon3dmodule.getAreaOfGML(roofsurface, True)
#-- Compute the normal
norm = polygon3dmodule.getNormal(
markup3dmodule.GMLpoints(
markup3dmodule.polydecomposer(roofsurface)[0][0]))
#-- Get the azimuth and tilt from the surface normal
az, tilt = polygon3dmodule.getAngles(norm)
az = round(az, 3)
#-- 360 -> 0 degrees
if az == 360.0:
az = 0.0
tilt = round(tilt, 3)
#-- Peculiar problems with the normals, with a cheap solution. Luckily very uncommon.
if tilt == 180:
tilt = 0.0
if tilt >= 180:
tilt = tilt - 180.01
elif tilt > 90:
tilt = tilt - 90.01
elif tilt == 90:
tilt = 89.9
#-- Flat surfaces always have the azimuth zero
if tilt == 0.0:
az = 0.0
#-- If the TOF file is loaded, sample the irradiance
if loadDict:
irradiation = irr_from_tof(tilt, az)
#-- If the TOF file is not loaded, estimate the values
else:
irradiation = irr.yearly_total_irr(place, az, tilt)
#-- Add the values
self.roofdata[pid] = {
'area': area,
'azimuth': az,
'tilt': tilt,
'irradiation': irradiation,
'total_irradiation': irradiation * area
}
roofsurfacedata[pid] = {
'area': area,
'azimuth': az,
'tilt': tilt,
'irradiation': irradiation,
'total_irradiation': irradiation * area
}
#self.roofdata.append([self.id, pid, area, az, tilt, irradiation, irradiation*area])
self.sumIrr = 0
#-- Sum the values for the building
for rs in self.roofdata:
self.sumIrr += self.roofdata[rs]['total_irradiation']
TOF = pickle.load(myFile)
else:
#-- Create the dictionary
TOF = {}
#-- For each azimuth
for az in azimuths:
#-- Open a sub-dictionary
TOF[str(az)] = {}
#-- For each tilt
for tr in tilts:
#-- Get the total yearly solar irradiation
total = irr.yearly_total_irr(PLACE, az,
tr) #, INTERVAL, cloud_cover)
#-- Store it in the dictionary
TOF[str(az)][str(tr)] = total
#-- Print the progress
print "Azimuth:", az, "\tTilt:", tr, "\tIrradiation:", total, "kWh/m^2"
#-- Store the obtained values to save time later
if TOF:
with open('TOF.dict', 'wb') as dict_items_save:
pickle.dump(TOF, dict_items_save)
if PLOT:
#-- Plotting time!
import matplotlib as mpl
#from matplotlib import rc
import matplotlib.pyplot as plt
