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compute_tilted_irrad.py
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Fri, Jun 20, 19:07

compute_tilted_irrad.py
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import pandas as pd
import xarray as xr
import numpy as np
import util
from pvlib.tools import cosd
import os
import time
import sys
## ===== INPUTS ========== ##
START = int(sys.argv[1]) # index of the first line of the file
N_LINES = int(sys.argv[2]) # number of lines to be read
INNAME = sys.argv[3] # GVA_[south/east/west]_10deg
## ===== CONSTANTS ===== ##
CHUNKSIZE = 10000
N_DF_UIDs = 51260
END = min(START + N_LINES, N_DF_UIDs)
FLAT_TILT = 10
FLAT_DIST = 0.5
FLAT_THRS = 10
workdir = '/scratch/walch/scenarios_GVA' # WORKING DIRECTORY
PARTLY_SHADING_FP = os.path.join( workdir, 'GVA_10deg_partly_shading_replaced_debiased.csv') # PATH TO HOURLY UNSHADED FRACTION
POA_IRRAD_FP = os.path.join( workdir, 'poa_irradiance_interp_GVA_flat_%s_cleaned.nc' %INNAME) # PATH TO POA RADIATION
SVF_FP = os.path.join( workdir, 'GVA_10deg_SVF_replaced.csv' ) # PATH TO SKY VIEW FACTOR
MUTUAL_SHADE_FP = os.path.join( workdir, 'mutual_shading.nc') # PATH TO MUTUAL SHADING
ROOFS_FP = os.path.join( workdir, 'flat_roofs_GVA_%s.csv' %INNAME) # PATH TO ROOFTOP CHARACTERISTICS
OUTFILE_FP = os.path.join( workdir, 'tilted_irrad_GVA_flat_%s.nc' %INNAME) # PATH TO OUTPUT FILE
print('\nShading file path: %s' %PARTLY_SHADING_FP)
print('POA irradiance file path: %s' %POA_IRRAD_FP)
print('Skyview factor file path: %s' %SVF_FP)
print('Mutual shading file path: %s' %MUTUAL_SHADE_FP)
print('Roof surfaces file path: %s' %ROOFS_FP)
print('Output file path: %s' %OUTFILE_FP)
## =========================================================================================== ##
## ===== LOAD DATA ===== ##
tt = time.time()
t0 = time.time()
shading = xr.open_mfdataset( PARTLY_SHADING_FP, chunks={'DF_UID': CHUNKSIZE} ).sortby('DF_UID').isel(DF_UID = range(START, END))
irrad = xr.open_mfdataset( POA_IRRAD_FP, chunks={'DF_UID': CHUNKSIZE} ).sortby('DF_UID').isel(DF_UID = range(START, END))
svf = util.read_csv_rows( SVF_FP, START, N_LINES )
mutual_shade = xr.open_dataset( MUTUAL_SHADE_FP )
roofs = util.read_csv_rows( ROOFS_FP, START, N_LINES, usecols = ['DF_UID', 'NEIGUNG', 'panel_tilt'])
print('Loaded all data in %.3f seconds' %(time.time()-tt))
flat_roofs = roofs[roofs.NEIGUNG <= FLAT_THRS]
## ===== COMPUTE MEAN IRRADIANCE ON ROOFTOPS ===== ##
print('\nComputing mean irradiance on rooftops ...')
tt = time.time()
tilted_irrad = xr.merge( [ shading, irrad ] ).fillna(0)
mutual_shade_flat = mutual_shade.sel(tilt = FLAT_TILT,
distance = FLAT_DIST,
timestamp = irrad.timestamp).drop(['tilt', 'distance'])
tilted_irrad['svf'] = svf.set_index('DF_UID')['SVF_unbiased'].to_xarray()
tilted_irrad['is_flat'] = tilted_irrad.DF_UID.isin( flat_roofs.DF_UID.values ).astype(int)
# compute tilted irradiance for tilted and flat surfaces
# by multiplying mutual shading with is_flat (0, 1)
tilted_irrad['tilted_irradiance'] = ( tilted_irrad.partly_shading * tilted_irrad.poa_direct
* (1 - mutual_shade_flat.shading * tilted_irrad.is_flat)
+ tilted_irrad.svf * tilted_irrad.poa_sky_diffuse
* (1 - mutual_shade_flat.SVF_shade * tilted_irrad.is_flat)
+ tilted_irrad.poa_ground_diffuse )
print(tilted_irrad)
print('Finished in %.3f seconds' %(time.time()-tt))
# Compute yearly sum
tilted_irrad['yearly_kWh_m2'] = (util.get_yearly_sum(tilted_irrad, 'tilted_irradiance')) / 1000
## === SAVE OUTPUT FILE ==== ##
tt = time.time()
print('\nSaving output ...')
irrad_save = tilted_irrad[[ 'tilted_irradiance', 'yearly_kWh_m2' ]]
# reduce storage requirement
irrad_save['tilted_irradiance'] = irrad_save['tilted_irradiance'].astype('float32')
irrad_save['yearly_kWh_m2' ] = irrad_save['yearly_kWh_m2' ].astype('float32')
irrad_save.to_netcdf( OUTFILE_FP )
print('Saved output in %s (%.3fs)' %( OUTFILE_FP, time.time()-tt ))
print('\nDONE - total execution time: %.3f seconds' %(time.time()-t0))

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