def test_reopt_sizing_pvsam(solar_resource):
import PySAM.Utilityrate5 as ur
sys = pvsam.default("FlatPlatePVCommercial")
fin = ur.from_existing(sys, "FlatPlatePVCommercial")
bt = stbt.from_existing(sys, "GenericBatteryCommercial")
sys.SolarResource.solar_resource_file = solar_resource
bt.Load.crit_load = [0] * 8760
post = sys.Reopt_size_battery_post()
assert('Scenario' in post['reopt_post'])
assert(post['reopt_post']['Scenario']['Site']['latitude'] == pytest.approx(33.6, 0.1))
@author: brtietz
"""
import PySAM.Battery as battery_model
import PySAM.Pvsamv1 as pvsam
from PySAM.PySSC import *
weather_file = sys.argv[1] # .csv weather file with tmy format
analysis_period = 1 # years
days_in_year = 365
# Create the detailed residential pv model using PySAM's defaults
system_model = pvsam.default("FlatPlatePVResidential")
# Create the battery model based on the PV defaults
battery = battery_model.from_existing(system_model,
"GenericBatteryResidential")
# Default model does not include a weather file, so set that based on the command line path
system_model.SolarResource.solar_resource_file = weather_file
# 24 hours of dispatch data, duplicated for each day. Would need to extend daily_dispatch for subhourly
lifetime_dispatch = []
daily_dispatch = [
0, 0, 0, 0, 0, 0, 0, -2, -2, -2, -2, -2, -1, 0, 0, 0, 0, 2, 4, 2, 2, 0, 0,
0
] # kW, negative is charging
# Extend daily lists for entire analysis period
for i in range(0, days_in_year * analysis_period):
lifetime_dispatch.extend(daily_dispatch)
# Change from default dispatch to custom dispatch