def test_resourcefilefetcher():
# please get your own API key from here https://developer.nrel.gov/signup/
NREL_API_KEY = 'OJOhB72tEAwfSX6HF3AUpL6cEebh24cgdjbK7D1X'
NREL_API_EMAIL = '*****@*****.**'
lon_lats = [(-105.1800775, 39.7383155)] #golden CO
resource_dir = str(Path(__file__).parent / "tmp")
# --- fetch solar ---
solarfetcher = tools.FetchResourceFiles(
tech='pv',
nrel_api_key=NREL_API_KEY,
nrel_api_email=NREL_API_EMAIL,
resource_dir=resource_dir)
solarfetcher.fetch(lon_lats)
# --- read csv and confirm dimensions ---
solar_path_dict = solarfetcher.resource_file_paths_dict
solar_fp = solar_path_dict[lon_lats[0]]
solar_csv = pd.read_csv(solar_fp)
# --- fetch wind ---
wtkfetcher = tools.FetchResourceFiles(
tech='wind',
nrel_api_key=NREL_API_KEY,
nrel_api_email=NREL_API_EMAIL,
resource_dir=resource_dir)
wtkfetcher.fetch(lon_lats)
# --- read csv and confirm dimensions ---
wtk_path_dict = wtkfetcher.resource_file_paths_dict
wtk_fp = wtk_path_dict[lon_lats[0]]
wtk_csv = pd.read_csv(wtk_fp)
assert solar_csv.shape == (8762, 20)
assert wtk_csv.shape == (8764, 10)
shutil.rmtree(resource_dir)
def test_wind():
wind = str(Path(__file__).parent / "AR Northwestern-Flat Lands.srw")
data = tools.SRW_to_wind_data(wind)
assert (data['fields'] == [1, 2, 4, 3, 1, 2, 4, 3, 1, 2, 4, 3, 1, 2, 4, 3])
assert (data['heights'] == [50, 50, 50, 50, 80, 80, 80, 80, 110, 110, 110, 110, 140, 140, 140, 140])
assert (data['data'][0] == [9.587, 0.953420183, 173, 9.466, 10.247, 0.950086356, 174, 11.637, 10.627, 0.946649889,
175, 13.249, 10.997, 0.94340982, 175, 14.509])
wind_model = wp.new()
wind_model.Resource.wind_resource_data = data
returned_data = wind_model.Resource.wind_resource_data['data'][0]
for i, d in enumerate(data['data'][0]):
assert (d == pytest.approx(returned_data[i], 1e-3))
def test_solar():
solar = str(Path(__file__).parent / "blythe_ca_33.617773_-114.588261_psmv3_60_tmy.csv")
data = tools.TMY_CSV_to_solar_data(solar)
assert (data['lat'] == 33.61)
assert (data['lon'] == -114.58)
assert (data['dn'][7] == 262)
assert (data['df'][7] == 16)
assert (data['gh'][7] == 27)
assert (data['tdry'][7] == pytest.approx(8.96, 0.1))
model = pv.default("PVwattsNone")
model.SolarResource.solar_resource_data = data
model.execute()
aep = model.Outputs.annual_energy
model.SolarResource.solar_resource_file = solar
model.execute()
assert(aep == pytest.approx(model.Outputs.annual_energy, 1))
def test_urdb():
urdb = str(Path(__file__).parent / "urdbv7.json")
with open(urdb, 'r') as file:
urdb_data = json.load(file)
ur5 = tools.URDBv7_to_ElectricityRates(urdb_data)
ec_tou = [
1, 1, 100, 0, 0.070768997073173523, 0, 1, 2, 9.9999996802856925e+37, 0,
0.082948997616767883, 0, 2, 1, 100, 0, 0.056908998638391495, 0, 2, 2,
9.9999996802856925e+37, 0, 0.069078996777534485, 0
]
dc_tou = [
1, 1, 100, 19.538999557495117, 1, 2, 9.9999996802856925e+37,
13.093000411987305, 2, 1, 100, 8.0909996032714844, 2, 2,
9.9999996802856925e+37, 4.6760001182556152
]
flat_mat = [
0, 1, 100, 4, 0, 2, 1e+38, 6.46, 1, 1, 1e+38, 6.46, 2, 1, 1e+38, 6.46,
3, 1, 1e+38, 6.46, 4, 1, 1e+38, 13.87, 5, 1, 1e+38, 13.87, 6, 1, 1e+38,
13.87, 7, 1, 1e+38, 13.87, 8, 1, 1e+38, 13.87, 9, 1, 1e+38, 13.87, 10,
1, 1e+38, 6.46, 11, 1, 1e+38, 6.46
]
ec_tou_tested = [
item for sublist in ur5['ur_ec_tou_mat'] for item in sublist
]
dc_tou_tested = [
item for sublist in ur5['ur_dc_tou_mat'] for item in sublist
]
flat_mat_tested = [
item for sublist in ur5['ur_dc_flat_mat'] for item in sublist
]
assert (ec_tou_tested == ec_tou)
assert (dc_tou_tested == dc_tou)
assert (flat_mat_tested == flat_mat)