19 - East & West Facing Sheds#

This simulates a particular case where you have alternating rows facing east and west, in “E-W sheds”.

East West Sheds Example

To simulate this, we will use the bases learned in Journal 7 of using multipe scene objects. One scene object will be all the “East facing modules”, while the West facing modules will be the second scene object. We have to know some geometry to offset the modules, and that is calculated below:

East West Sheds Example

[1]:
import os
import numpy as np
import pandas as pd
from pathlib import Path
import bifacial_radiance
[2]:
bifacial_radiance.__version__
[2]:
'0.3.4+406.g49eb243.dirty'
[3]:
testfolder = testfolder = str(Path().resolve().parent.parent / 'bifacial_radiance' / 'Tutorial_01')
if not os.path.exists(testfolder):
    os.makedirs(testfolder)

demo = bifacial_radiance.RadianceObj("tutorial_19", path = testfolder)  # Create a RadianceObj 'object'
demo.setGround(0.62)
epwfile = demo.getEPW(lat = 37.5, lon = -77.6)
metdata = demo.readWeatherFile(epwfile, coerce_year=2001)
timestamp = metdata.datetime.index(pd.to_datetime('2001-06-17 13:0:0 -5'))
demo.gendaylit(timestamp)
path = C:\Users\sayala\Documents\GitHub\bifacial_radiance\bifacial_radiance\Tutorial_01
Making path: images
Making path: objects
Making path: results
Making path: skies
Making path: EPWs
Making path: materials
Loading albedo, 1 value(s), 0.620 avg
1 nonzero albedo values.
Getting weather file: USA_VA_Richmond.724010_TMY2.epw
 ... OK!
8760 line in WeatherFile. Assuming this is a standard hourly WeatherFile for the year for purposes of saving Gencumulativesky temporary weather files in EPW folder.
Coercing year to 2001
Saving file EPWs\metdata_temp.csv, # points: 8760
Calculating Sun position for Metdata that is right-labeled  with a delta of -30 mins. i.e. 12 is 11:30 sunpos
[3]:
'skies\\sky2_37.5_-77.33_2001-06-17_1300.rad'

Define your shed characteristics. In this case it is a 4-up landscape setup:

[4]:
# For sanity check, we are creating the same module but with different names for each orientation.
numpanels=4
ygap = 0.02 # m Spacing between modules on each shed.
y=1   # m. module size, one side
x=1.7 # m. module size, other side. for landscape, x > y
mymoduleEast = demo.makeModule(name='test-module_East',y=y,x=x, numpanels=numpanels, ygap=ygap)
mymoduleWest = demo.makeModule(name='test-module_West',y=y,x=x, numpanels=numpanels, ygap=ygap)


Module Name: test-module_East
Module test-module_East updated in module.json

Module Name: test-module_West
Module test-module_West updated in module.json

Calculate the spacings so we can offset the West Facing modules properly:

East West Sheds Example

[5]:
tilt = 30
gap_between_EW_sheds = 1 # m
gap_between_shed_rows = 2 #m
CW = mymoduleEast.sceney
ground_underneat_shed = CW * np.cos(np.radians(tilt))
pitch = ground_underneat_shed*2 + gap_between_EW_sheds + gap_between_shed_rows
offset_westshed = -(ground_underneat_shed+gap_between_EW_sheds)

Define the other characteristics of our array:

[6]:
clearance_height = 1.2 # m
nMods = 21
nRows = 7

Create the Scene Objects and the Scene:

[7]:
sceneDict = {'tilt':tilt,'pitch':pitch,'clearance_height':clearance_height,'azimuth':90, 'nMods': nMods, 'nRows': nRows,
             'appendRadfile':True}
sceneObj1 = demo.makeScene(mymoduleEast, sceneDict)

sceneDict2 = {'tilt':tilt,'pitch':pitch,'clearance_height':clearance_height,'azimuth':270, 'nMods': nMods, 'nRows': nRows,
              'originx': offset_westshed, 'originy': 0,
              'appendRadfile':True}

sceneObj2 = demo.makeScene(mymoduleWest, sceneDict2)

Finally get all the files together by creating the Octfile:

[8]:
octfile = demo.makeOct(demo.getfilelist())
Created tutorial_19.oct

View the Geometry#

You can check the geometry on rvu with the following commands. You can run it in jupyter/Python if you comment the line, but the program will not continue processing until you close the rvu window. ( if running rvu directly on the console, navigate to the folder where you have the simulation, and don’t use the exclamation point at the beginning)

Top view:

[9]:
#!rvu -vf views\front.vp -e .01 -pe 0.3 -vp 1 -45 40 -vd 0 0.7 -0.7 MultipleObj.oct

another view, close up:

[10]:
# !rvu -vf views\front.vp -e .01 -pe 0.3 -vp -4 -29 3.5 -vd 0 1 0 MultipleObj.oct

Analysis#

We have to analyze the East and the West shed independently.

[11]:
sensorsy=4  # 1 per module. consider increasing the number but be careful with sensors in the space between modules.
analysis = bifacial_radiance.AnalysisObj(octfile, demo.basename)
frontscan, backscan = analysis.moduleAnalysis(sceneObj1, sensorsy=sensorsy)
frontdict, backdict = analysis.analysis(octfile, "EastFacingShed", frontscan, backscan)  # compare the back vs front irradiance

frontscan, backscan = analysis.moduleAnalysis(sceneObj2, sensorsy=sensorsy )
frontdict2, backdict2 = analysis.analysis(octfile, "WestFacingShed", frontscan, backscan)  # compare the back vs front irradiance

Linescan in process: EastFacingShed_Front
Linescan in process: EastFacingShed_Back
Saved: results\irr_EastFacingShed.csv
Linescan in process: WestFacingShed_Front
Linescan in process: WestFacingShed_Back
Saved: results\irr_WestFacingShed.csv