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))
# create cumulativesky functions for each tracker angle: demo.genCumSky1axis
trackerdict = demo.genCumSky1axis(trackerdict)
# Create a new moduletype: Prism Solar Bi60. width = .984m height = 1.695m. Bifaciality = 0.90
demo.makeModule(name='Prism Solar Bi60', x=0.984, y=module_height, bifi=0.90)
# print available module types
demo.printModules()
# create a 1-axis scene using panels in portrait, 2m hub height, 0.33 GCR. NOTE: clearance needs to be calculated at each step. hub height is constant
sceneDict = {
'pitch': module_height / gcr,
'height': hub_height,
'orientation': 'portrait'
}
module_type = 'Prism Solar Bi60'
trackerdict = demo.makeScene1axis(
trackerdict, module_type, sceneDict, nMods=20,
nRows=7) #makeScene creates a .rad file with 20 modules per row, 7 rows.
trackerdict = demo.makeOct1axis(trackerdict)
# Now we need to run analysis and combine the results into an annual total. This can be done by calling scene.frontscan and scene.backscan
trackerdict = demo.analysis1axis(trackerdict)
# the frontscan and backscan include a linescan along a chord of the module, both on the front and back.
# Return the minimum of the irradiance ratio, and the average of the irradiance ratio along a chord of the module.
print('Annual RADIANCE bifacial ratio for 1-axis tracking: %0.3f - %0.3f' %
(min(demo.backRatio), np.mean(demo.backRatio)))
'''
Now run the analysis using bifacialVF !