def test_pvwatts_scalars():
expected = 85.58556604752516
out = inverter.pvwatts(90, 100, 0.95)
assert_allclose(out, expected)
# GH 675
expected = 0.
out = inverter.pvwatts(0., 100)
assert_allclose(out, expected)
def test_pvwatts_arrays():
pdc = np.array([[np.nan], [0], [50], [100]])
pdc0 = 100
expected = np.array([[np.nan],
[0.],
[47.60843624],
[95.]])
out = inverter.pvwatts(pdc, pdc0, 0.95)
assert_allclose(out, expected, equal_nan=True)
def power_pvwatts(request, clearsky_july, solarposition_july):
pdc0 = 100
pdc0_inverter = 110
tilt = 30
azimuth = 180
pdc0_marker = request.node.get_closest_marker("pdc0_inverter")
if pdc0_marker is not None:
pdc0_inverter = pdc0_marker.args[0]
poa = irradiance.get_total_irradiance(
tilt, azimuth,
solarposition_july['zenith'], solarposition_july['azimuth'],
**clearsky_july
)
cell_temp = temperature.sapm_cell(
poa['poa_global'], 25, 0,
**TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_glass']
)
dc = pvsystem.pvwatts_dc(poa['poa_global'], cell_temp, pdc0, -0.004)
return inverter.pvwatts(dc, pdc0_inverter)
def test_pvwatts_series():
pdc = pd.Series([np.nan, 0, 50, 100])
pdc0 = 100
expected = pd.Series(np.array([np.nan, 0., 47.608436, 95.]))
out = inverter.pvwatts(pdc, pdc0, 0.95)
assert_series_equal(expected, out)
def test_pvwatts_possible_negative():
# pvwatts could return a negative value for (pdc / pdc0) < 0.006
# unless it is clipped. see GH 541 for more
expected = 0
out = inverter.pvwatts(0.001, 1)
assert_allclose(out, expected)
