def test_RadianceObj_1axis_gendaylit_end_to_end():
# 1-axis tracking end-to-end test with torque tube and gap generation.
# Takes 20 seconds for 2-sensor scan
module_height = 1.95 * 2 + 0.1 # module portrait dimension in meters
gcr = 0.35 # ground cover ratio, = module_height / pitch
albedo = 0.3 # ground albedo
hub_height = 2 # tracker height at 0 tilt in meters (hub height)
demo = RadianceObj() # Create a RadianceObj 'object'
demo.setGround(
albedo
) # input albedo number or material name like 'concrete'. To see options, run this without any input.
metdata = demo.readEPW(
MET_FILENAME) # read in the EPW weather data from above
#metdata = demo.readTMY(MET_FILENAME2) # select a TMY file using graphical picker
# create metdata files for each condition. keys are timestamps for gendaylit workflow
trackerdict = demo.set1axis(cumulativesky=False)
# create the skyfiles needed for 1-axis tracking
demo.gendaylit1axis(metdata=metdata, enddate='01/01')
# test modules with gap and rear tube
demo.makeModule(name='Longi_torquetube',
x=0.984,
y=1.95,
torquetube=True,
numpanels=2,
panelgap=0.1)
#demo.makeModule(name='Longi_torquetube',x=0.984,y=1.95)
# set module type to be used and passed into makeScene1axis
module_type = 'Longi_torquetube'
# Create the scene for the 1-axis tracking
sceneDict = {
'pitch': module_height / gcr,
'height': hub_height,
'orientation': 'portrait'
}
key = '01_01_11'
demo.makeScene1axis(
{key: trackerdict[key]},
module_type,
sceneDict,
cumulativesky=False,
nMods=10,
nRows=3,
modwanted=3,
rowwanted=3,
sensorsy=2
) #makeScene creates a .rad file with 20 modules per row, 7 rows.
demo.makeOct1axis(trackerdict,
key) # just run this for one timestep: Jan 1 11am
demo.analysis1axis(trackerdict,
key) # just run this for one timestep: Jan 1 11am
assert (np.mean(demo.Wm2Front) == pytest.approx(214.0, 0.01))
assert (np.mean(demo.Wm2Back) == pytest.approx(40.0, 0.1))
def test_RadianceObj_high_azimuth_angle_end_to_end():
# modify example for high azimuth angle to test different parts of makesceneNxR. Rear irradiance fraction roughly 17.3% for 0.95m landscape panel
# takes 14 seconds for sensorsy = 9, 11 seconds for sensorsy = 2
demo = RadianceObj() # Create a RadianceObj 'object'
demo.setGround(
'white_EPDM'
) # input albedo number or material name like 'concrete'. To see options, run this without any input.
#metdata = demo.readEPW() # read in the EPW weather data from above
metdata = demo.readTMY(
MET_FILENAME2) # select a TMY file using graphical picker
# Now we either choose a single time point, or use cumulativesky for the entire year.
fullYear = False
if fullYear:
demo.genCumSky(
demo.epwfile
) # entire year. # Don't know how to test this yet in pytest...
else:
demo.gendaylit(metdata, 4020) # Noon, June 17th
# create a scene using panels in landscape at 10 deg tilt, 1.5m pitch. 0.2 m ground clearance
sceneDict = {
'tilt': 10,
'pitch': 1.5,
'height': 0.2,
'orientation': 'landscape',
'azimuth': 30
}
demo.makeModule(name='simple_panel', x=0.95, y=1.59)
scene = demo.makeScene(
'simple_panel', sceneDict, nMods=10, nRows=3
) #makeScene creates a .rad file with 20 modules per row, 7 rows.
octfile = demo.makeOct(
demo.getfilelist()
) # makeOct combines all of the ground, sky and object files into a .oct file.
analysis = AnalysisObj(
octfile, demo.name
) # return an analysis object including the scan dimensions for back irradiance
analysis.analysis(octfile, demo.name, scene.frontscan,
scene.backscan) # compare the back vs front irradiance
#assert np.round(np.mean(analysis.backRatio),2) == 0.20 # bifi ratio was == 0.22 in v0.2.2
assert np.mean(analysis.Wm2Front) == pytest.approx(912, rel=0.005)
assert np.mean(analysis.Wm2Back) == pytest.approx(182, rel=0.01)
def test_RadianceObj_fixed_tilt_end_to_end():
# just run the demo example. Rear irradiance fraction roughly 11.8% for 0.95m landscape panel
# takes 12 seconds
demo = RadianceObj() # Create a RadianceObj 'object'
demo.setGround(
0.62
) # input albedo number or material name like 'concrete'. To see options, run this without any input.
metdata = demo.readEPW(
epwfile=MET_FILENAME) # read in the EPW weather data from above
#metdata = demo.readTMY() # select a TMY file using graphical picker
# Now we either choose a single time point, or use cumulativesky for the entire year.
fullYear = False
if fullYear:
demo.genCumSky(demo.epwfile) # entire year.
else:
demo.gendaylit(metdata, 4020) # Noon, June 17th
# create a scene using panels in landscape at 10 deg tilt, 1.5m pitch. 0.2 m ground clearance
sceneDict = {
'tilt': 10,
'pitch': 1.5,
'height': 0.2,
'orientation': 'landscape'
}
demo.makeModule(name='simple_panel', x=0.95, y=1.59)
scene = demo.makeScene(
'simple_panel', sceneDict, nMods=10, nRows=3
) #makeScene creates a .rad file with 20 modules per row, 7 rows.
octfile = demo.makeOct(
demo.getfilelist()
) # makeOct combines all of the ground, sky and object files into a .oct file.
analysis = AnalysisObj(
octfile, demo.name
) # return an analysis object including the scan dimensions for back irradiance
analysis.analysis(octfile, demo.name, scene.frontscan,
scene.backscan) # compare the back vs front irradiance
#assert np.round(np.mean(analysis.backRatio),decimals=2) == 0.12 # NOTE: this value is 0.11 when your module size is 1m, 0.12 when module size is 0.95m
assert np.mean(analysis.backRatio) == pytest.approx(0.12, abs=0.01)
import numpy as np
import datetime
try:
from bifacial_radiance import RadianceObj
except ImportError:
raise RuntimeError('bifacial_radiance is required. download distribution')
print('starting simulation: {}'.format(datetime.datetime.now()))
# Example 1-axis tracking system using Radiance. This takes 5-10 minutes to complete, depending on computer.
demo = RadianceObj(
path=testfolder) # Create a RadianceObj 'object' named 'demo'
demo.setGround(
albedo
) # input albedo number or material name like 'concrete'. To see options, run this without any input.
epwfile = demo.getEPW(
37.5, -77.6
) #Pull TMY weather data for any global lat/lon. In this case, Richmond, VA
metdata = demo.readEPW(epwfile) # read in the weather data
# create separate metdata files for each 1-axis tracker angle (5 degree resolution).
trackerdict = demo.set1axis(metdata,
limit_angle=limit_angle,
backtrack=True,
gcr=gcr)
# create cumulativesky functions for each tracker angle: demo.genCumSky1axis
from bifacial_radiance import RadianceObj, AnalysisObj
# <a id='step1a'></a>
# ### A. Generating the firt scene object
#
# This is a standard fixed-tilt setup for one hour. Gencumsky could be used too for the whole year.
#
# The key here is that we are setting in sceneDict the variable **appendRadfile** to true.
# In[4]:
demo = RadianceObj("MultipleObj",
path=testfolder) # Create a RadianceObj 'object'
demo.setGround(0.62)
epwfile = demo.getEPW(lat=37.5, lon=-77.6)
metdata = demo.readWeatherFile('EPWs\\USA_VA_Richmond.Intl.AP.724010_TMY.epw')
fullYear = True
demo.gendaylit(metdata,
4020) # Noon, June 17th . # Gencumsky could be used too.
module_type = 'Prism Solar Bi60 landscape'
demo.makeModule(name=module_type, y=1, x=1.7)
sceneDict = {
'tilt': 10,
'pitch': 1.5,
'clearance_height': 0.2,
'azimuth': 180,
'nMods': 5,
'nRows': 2,
'appendRadfile': True
def simulate_single(idx=None,
wavelength=None,
test_folder_fmt=None,
best_data_file=None,
data_folder=None):
# Verify test_folder exists before creating radiance obj
test_folder = test_folder_fmt.format(f'{idx:04}', f'{wavelength:04}')
if not os.path.exists(test_folder):
os.makedirs(test_folder)
### NEW FOR SPECTRA
# Create radiance obj
radiance_name = 'BEST'
rad_obj = RadianceObj(radiance_name, str(test_folder))
# Set ground
rad_obj.readWeatherFile(best_data_file, label='center')
# Check to see if file exists
foo = rad_obj.metdata.datetime[idx]
# If a wavelength was specified, assume this is a spectral simulation and
# try to load spectra files.
# Determine file suffix
suffix = f'_{idx}.txt'
# Generate/Load albedo
alb_file = os.path.join(data_folder, "alb" + suffix)
spectral_alb = spectral_property.load_file(alb_file)
# Generate/Load dni and dhi
dni_file = os.path.join(data_folder, "dni" + suffix)
dhi_file = os.path.join(data_folder, "dhi" + suffix)
ghi_file = os.path.join(data_folder, "ghi" + suffix)
spectral_dni = spectral_property.load_file(dni_file)
spectral_dhi = spectral_property.load_file(dhi_file)
spectral_ghi = spectral_property.load_file(ghi_file)
weighted_albedo = False
if wavelength:
alb = spectral_alb[wavelength]
dni = spectral_dni[wavelength]
dhi = spectral_dhi[wavelength]
elif weighted_albedo:
_alb = np.array(spectral_alb[range(300, 2501, 10)])
_dni = np.array(spectral_dni[range(300, 2501, 10)])
_dhi = np.array(spectral_dhi[range(300, 2501, 10)])
_ghi = np.array(spectral_ghi[range(300, 2501, 10)])
alb_scale = np.sum(_alb * (_ghi)) / np.sum(alb * (_ghi))
alb *= alb_scale
print(f'For IDX {idx}, albedo scaled by {alb_scale}')
res_name = "irr_Hydra_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute) + '.csv'
rad_obj.setGround(alb)
# Set sky
solpos = rad_obj.metdata.solpos.iloc[idx]
zen = float(solpos.zenith)
azm = float(solpos.azimuth) - 180
rad_obj.gendaylit2manual(dni, dhi, 90 - zen, azm)
lat = 39.742 # NREL SSRL location
lon = -105.179 # NREL SSRL location
elev = 1829
timezone = -7
axis_tilt = 0
axis_azimuth = 180
limit_angle = 60
backtrack = True # Set to false since it's only 1 row, no shading.
gcr = 0.35
angledelta = 0 # rounding to ints
numpanels = 1
torquetube = False # We are going to add it separately
diameter = 0.130175 # 5 1/8 in
torqueTubeMaterial = 'Metal_Grey'
tubetype = 'Round'
axisofrotationTorqueTube = True
azimuth = 90
material = 'Metal_Grey'
hub_height = 1.5 #0.927
postdiamy = 0.1016 # N-S measurement, 4 "
postdiamx = 0.1524 # E-W measurement, 6 "
ttedgeoffset = -1.07 # south edge 42 in. negative because that's how I coded the trnaslation.
ttedgeoffsetNorth = 0.10795 # North edge $ 4 1/4 inches
length = 21.64 - ttedgeoffset + ttedgeoffsetNorth # map goes from beginning of south post, but there is a bit more post to hold the sensor
decimate = True
zgap = 0.05 + diameter / 2 # 1 inch of arm, + 1 3/16 of panel width on average ~ 0.055 m
decimateinterval = '15Min'
pitch = 5.7 # distance between rows
ypostlist = [0, 4.199, 10.414, 16.63, 21.64]
ymods = [
0.589, 1.596, 2.603, 3.610, 4.788, 5.795, 6.803, 7.810, 8.818, 9.825,
11.003, 12.011, 13.018, 14.026, 15.034, 16.041, 17.220, 18.230, 19.240,
20.250
]
numcellsx = 6
numcellsy = 12
xcell = 0.142
ycell = 0.142
xcellgap = 0.02
ycellgap = 0.02
module_type = 'Bi60'
xgap = 0.046
ygap = 0
glass = False
# Set tracker information
try:
tilt = round(
rad_obj.getSingleTimestampTrackerAngle(rad_obj.metdata,
idx,
gcr,
limit_angle=65), 1)
except:
print("Night time !!!!!!!!!")
print("")
print("")
return None
if math.isnan(tilt):
return None
sazm = 90
cellLevelModuleParams = {
'numcellsx': numcellsx,
'numcellsy': numcellsy,
'xcell': xcell,
'ycell': ycell,
'xcellgap': xcellgap,
'ycellgap': ycellgap
}
# Running make module on HPC can cause issues if too many works try to
# write to the module file at the same time. If something goes wrong,
# assume the module has already been created.
'''
try:
mymodule = rad_obj.makeModule(name=module_type, torquetube=torquetube, diameter=diameter, tubetype=tubetype, material=material,
xgap=xgap, ygap=ygap, zgap=zgap, numpanels=numpanels,# x=0.952, y=1.924,
cellLevelModuleParams=cellLevelModuleParams,
axisofrotationTorqueTube=axisofrotationTorqueTube, glass=glass, z=0.0002)
rad_obj.makeModule(name='sensor', x=0.15, y=0.15, z=0.04)
except:
print('Failed to make module.')
'''
radname = "Bi60_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute) + "_"
sceneDict1 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 0,
'originy': ymods[0]
}
sceneObj1 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict1,
radname=radname)
sceneDict2 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 1,
'originy': ymods[0]
}
sceneObj2 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict2,
radname=radname)
sceneDict3 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 2,
'originy': ymods[0]
}
sceneObj3 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict3,
radname=radname)
sceneDict4 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 3,
'originy': ymods[0]
}
sceneObj4 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict4,
radname=radname)
sceneDict5 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 4,
'originy': ymods[0]
}
sceneObj5 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict5,
radname=radname)
sceneDict6 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 5,
'originy': ymods[0]
}
sceneObj6 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict6,
radname=radname)
sceneDict7 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 6,
'originy': ymods[0]
}
sceneObj7 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict7,
radname=radname)
sceneDict8 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 7,
'originy': ymods[0]
}
sceneObj8 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict8,
radname=radname)
sceneDict9 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 8,
'originy': ymods[0]
}
sceneObj9 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict9,
radname=radname)
sceneDict10 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 9,
'originy': ymods[0]
}
sceneObj10 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict10,
radname=radname)
#sceneObjects[tilt] = {'Obj1': sceneObj1, 'Obj2': sceneObj2, 'Obj3': sceneObj3, 'Obj4': sceneObj4, 'Obj5': sceneObj5, 'Obj6': sceneObj6, 'Obj7': sceneObj7, 'Obj8': sceneObj8, 'Obj9': sceneObj9, 'Obj10': sceneObj10}
modulesArray = []
fieldArray = []
modulesArray.append(sceneObj1)
modulesArray.append(sceneObj2)
modulesArray.append(sceneObj3)
modulesArray.append(sceneObj4)
modulesArray.append(sceneObj5)
modulesArray.append(sceneObj6)
modulesArray.append(sceneObj7)
modulesArray.append(sceneObj8)
modulesArray.append(sceneObj9)
modulesArray.append(sceneObj10)
fieldArray.append(modulesArray)
textrow1 = ''
textrow2 = sceneObj2.text + '\r\n'
textrow3 = sceneObj3.text + '\r\n'
textrow4 = sceneObj4.text + '\r\n'
textrow5 = sceneObj5.text + '\r\n'
textrow6 = sceneObj6.text + '\r\n'
textrow7 = sceneObj7.text + '\r\n'
textrow8 = sceneObj8.text + '\r\n'
textrow9 = sceneObj9.text + '\r\n'
textrow10 = sceneObj10.text + '\r\n'
# Row 1
for i in range(1, 20):
modulesArray = []
sceneDict1 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 0,
'originy': ymods[i]
}
sceneObj1 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict1,
radname=radname)
sceneDict2 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 1,
'originy': ymods[i]
}
sceneObj2 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict2,
radname=radname)
sceneDict3 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 2,
'originy': ymods[i]
}
sceneObj3 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict3,
radname=radname)
sceneDict4 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 3,
'originy': ymods[i]
}
sceneObj4 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict4,
radname=radname)
sceneDict5 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 4,
'originy': ymods[i]
}
sceneObj5 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict5,
radname=radname)
sceneDict6 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 5,
'originy': ymods[i]
}
sceneObj6 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict6,
radname=radname)
sceneDict7 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 6,
'originy': ymods[i]
}
sceneObj7 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict7,
radname=radname)
sceneDict8 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 7,
'originy': ymods[i]
}
sceneObj8 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict8,
radname=radname)
sceneDict9 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 8,
'originy': ymods[i]
}
sceneObj9 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict9,
radname=radname)
sceneDict10 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 9,
'originy': ymods[i]
}
sceneObj10 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict10,
radname=radname)
textrow1 += sceneObj1.text + '\r\n'
textrow2 += sceneObj2.text + '\r\n'
textrow3 += sceneObj3.text + '\r\n'
textrow4 += sceneObj4.text + '\r\n'
textrow5 += sceneObj5.text + '\r\n'
textrow6 += sceneObj6.text + '\r\n'
textrow7 += sceneObj7.text + '\r\n'
textrow8 += sceneObj8.text + '\r\n'
textrow9 += sceneObj9.text + '\r\n'
textrow10 += sceneObj10.text + '\r\n'
modulesArray.append(sceneObj1)
modulesArray.append(sceneObj2)
modulesArray.append(sceneObj3)
modulesArray.append(sceneObj4)
modulesArray.append(sceneObj5)
modulesArray.append(sceneObj6)
modulesArray.append(sceneObj7)
modulesArray.append(sceneObj8)
modulesArray.append(sceneObj9)
modulesArray.append(sceneObj10)
fieldArray.append(modulesArray)
# Redoing the first module to append everything to it.
sceneDict1 = {
'tilt': tilt,
'pitch': pitch,
'hub_height': hub_height,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': pitch * 0,
'originy': ymods[0]
}
sceneObj1 = rad_obj.makeScene(moduletype=module_type,
sceneDict=sceneDict1,
radname=radname)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow1)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow2)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow3)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow4)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow5)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow6)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow7)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow8)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow9)
rad_obj.appendtoScene(sceneObj1.radfiles, '', textrow10)
# Custom BSA Geometry
# Bottom posttubes and torquetube:
for i in range(0, 10):
xpost = i * pitch
# adding torquetube
torquetube = '\n\r! genrev Metal_Grey torquetube{} t*{} {} 32 | xform -rx -90 -t {} {} {}'.format(
i, length, diameter / 2.0, xpost, ttedgeoffset, hub_height - zgap)
rad_obj.appendtoScene(sceneObj1.radfiles, '', torquetube)
for j in range(0, 5):
ypost = ypostlist[j]
post1 = '! genbox Metal_Grey pile{} {} {} {} | xform -t {} {} 0 '.format(
(str(i) + "," + str(j)), postdiamx, postdiamy, hub_height,
-postdiamx / 2.0 + xpost, -postdiamy + ypost)
rad_obj.appendtoScene(sceneObj1.radfiles, '', post1)
###########################
# Create sensor objects #
###########################
# West Sensors
shhw = 1.5 + (1 - 0.226 / 2) * sin(
radians(tilt)) + (0.130175 / 2 + 0.05 - 0.02) * cos(radians(tilt))
sxw = pitch * 2 - (1 - 0.226 / 2) * cos(
radians(tilt)) + (0.130175 / 2 + 0.05 - 0.02) * sin(radians(tilt))
syw = ymods[9] + 0.5 + 0.226 / 2
sensorw_scene = {
'tilt': tilt,
'pitch': 1,
'hub_height': shhw,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': sxw,
'originy': syw,
'appendRadfile': True
}
res_name = "SensorW_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute)
sensorw_sceneObj = rad_obj.makeScene(moduletype='sensor',
sceneDict=sensorw_scene,
radname=res_name)
syw = ymods[15] + 0.5 + 0.226 / 2
sensorIMTw_scene = {
'tilt': tilt,
'pitch': 1,
'hub_height': shhw,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': sxw,
'originy': syw,
'appendRadfile': True
}
res_name = "SensorIMTW_" + str(foo.year) + "_" + str(
foo.month) + "_" + str(foo.day) + "_" + str(foo.hour) + "_" + str(
foo.minute)
sensorIMTw_sceneObj = rad_obj.makeScene(moduletype='sensor',
sceneDict=sensorIMTw_scene,
radname=res_name)
# East Sensors
shhe = 1.5 - (1 - 0.226 / 2) * sin(
radians(tilt)) + (0.130175 / 2 + 0.05 - 0.02) * cos(radians(tilt))
sxe = pitch * 2 + (1 - 0.226 / 2) * cos(
radians(tilt)) + (0.130175 / 2 + 0.05 - 0.02) * sin(radians(tilt))
sye = ymods[9] + 0.5 + 0.226 / 2
sensore_scene = {
'tilt': tilt,
'pitch': 1,
'hub_height': shhe,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': sxe,
'originy': sye,
'appendRadfile': True
}
res_name = "SensorE_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute)
sensore_sceneObj = rad_obj.makeScene(moduletype='sensor',
sceneDict=sensore_scene,
radname=res_name)
sye = ymods[15] + 0.5 + 0.226 / 2
sensorIMTe_scene = {
'tilt': tilt,
'pitch': 1,
'hub_height': shhe,
'azimuth': azimuth,
'nMods': 1,
'nRows': 1,
'originx': sxe,
'originy': sye,
'appendRadfile': True
}
res_name = "SensorIMTE_" + str(foo.year) + "_" + str(
foo.month) + "_" + str(foo.day) + "_" + str(foo.hour) + "_" + str(
foo.minute)
sensorIMTe_sceneObj = rad_obj.makeScene(moduletype='sensor',
sceneDict=sensorIMTe_scene,
radname=res_name)
# Build oct file
sim_name = "BEST_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute)
octfile = rad_obj.makeOct(rad_obj.getfilelist(), octname=sim_name)
#################
# Run analysis #
#################
#Row 3 Module 10 sensors
analysis = AnalysisObj(octfile, rad_obj.basename)
frontscan, backscan = analysis.moduleAnalysis(
sensorw_sceneObj,
sensorsy=1) #, frontsurfaceoffset=0.021)#, backsurfaceoffset = 0.02)
res_name = "SensorW_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute)
frontdict, backdict = analysis.analysis(octfile, res_name, frontscan,
backscan)
frontscan, backscan = analysis.moduleAnalysis(
sensore_sceneObj,
sensorsy=1) #, frontsurfaceoffset=0.021)#, backsurfaceoffset = 0.02)
res_name = "SensorE_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute)
frontdict, backdict = analysis.analysis(octfile, res_name, frontscan,
backscan)
#IMT Sensors Row 3 Module 5
'''
frontscan, backscan = analysis.moduleAnalysis(sensorIMTw_sceneObj, sensorsy=1)#, frontsurfaceoffset=0.021)#, backsurfaceoffset = 0.02)
res_name = "SensorIMTW_"+str(foo.year)+"_"+str(foo.month)+"_"+str(foo.day)+"_"+str(foo.hour)+"_"+str(foo.minute)
frontdict, backdict = analysis.analysis(octfile, res_name, frontscan, backscan)
frontscan, backscan = analysis.moduleAnalysis(sensorIMTe_sceneObj, sensorsy=1)#, frontsurfaceoffset=0.021)#, backsurfaceoffset = 0.02)
res_name = "SensorIMTE_"+str(foo.year)+"_"+str(foo.month)+"_"+str(foo.day)+"_"+str(foo.hour)+"_"+str(foo.minute)
frontdict, backdict = analysis.analysis(octfile, res_name, frontscan, backscan)
#fieldARray[module][row]
#HYDRA
modmod = 16
rowrow = 1
frontscan, backscan = analysis.moduleAnalysis(fieldArray[modmod][rowrow], sensorsy=12)#, frontsurfaceoffset=0.021)#, backsurfaceoffset = 0.02)
res_name = "Hydra_"+str(foo.year)+"_"+str(foo.month)+"_"+str(foo.day)+"_"+str(foo.hour)+"_"+str(foo.minute)
frontdict, backdict = analysis.analysis(octfile, res_name, frontscan, backscan)
'''
#LOCATION_APOGEES
modmod = 9
rowrow = 2
frontscan, backscan = analysis.moduleAnalysis(
fieldArray[modmod][rowrow],
sensorsy=4) #, frontsurfaceoffset=0.021)#, backsurfaceoffset = 0.02)
frontscan['ystart'] = frontscan['ystart'] + 0.45
backscan['ystart'] = backscan['ystart'] + 0.45
res_name = "Apogee_" + str(foo.year) + "_" + str(foo.month) + "_" + str(
foo.day) + "_" + str(foo.hour) + "_" + str(foo.minute)
frontdict, backdict = analysis.analysis(octfile, res_name, frontscan,
backscan)
'''
# SCAN FULL ROWS
for rowrow in range(5, 7):
for modmod in range(0, 20):
frontscan, backscan = analysis.moduleAnalysis(fieldArray[modmod][rowrow], sensorsy=12)#, frontsurfaceoffset=0.021)#, backsurfaceoffset = 0.02)
res_name = "Row_"+str(rowrow)+"_Mod_"+str(modmod)+"_"+str(foo.year)+"_"+str(foo.month)+"_"+str(foo.day)+"_"+str(foo.hour)+"_"+str(foo.minute)
frontdict, backdict = analysis.analysis(octfile, res_name, frontscan, backscan)
'''
# Read in results
#results_file = os.path.join('results', f'irr_sensor_{sim_name}.csv')
#results = load.read1Result(results_file)
results = 1
# Format output
#tracker_theta = tilt
#front = ','.join([ str(f) for f in results['Wm2Front'] ])
#back = ','.join([ str(r) for r in results['Wm2Back'] ])
print("***** Finished simulation for " + str(foo))
#time_str = metdata.datetime[idx]
# print(f"sim_results,{idx},{time_str},{wavelength},{dni},{dhi},{alb}," \
# f"{tracker_theta},{front},{back}")
return results