def sensor_analysis_exp_power(sensor_parameters):
power_expected = normalization.pvwatts_dc_power(
sensor_parameters['poa_global'], power_dc_rated=1)
sensor_parameters['power_expected'] = power_expected
rd_analysis = TrendAnalysis(**sensor_parameters)
rd_analysis.sensor_analysis(analyses=['yoy_degradation'])
return rd_analysis
def clearsky_analysis_exp_power(clearsky_parameters, clearsky_optional):
power_expected = normalization.pvwatts_dc_power(
clearsky_parameters['poa_global'], power_dc_rated=1)
clearsky_parameters['power_expected'] = power_expected
rd_analysis = TrendAnalysis(**clearsky_parameters)
rd_analysis.set_clearsky(**clearsky_optional)
rd_analysis.clearsky_analysis(analyses=['yoy_degradation'])
return rd_analysis
def test_pvwatts_dc_power(self):
''' Test PVWatts DC power caculation. '''
dc_power = pvwatts_dc_power(self.poa_global, self.power,
temperature_cell=self.temp,
gamma_pdc=self.gamma_pdc)
# Assert output has same frequency and length as input
self.assertEqual(self.poa_global.index.freq, dc_power.index.freq)
self.assertEqual(len(self.poa_global), len(dc_power))
# Assert value of output Series is equal to value expected
self.assertTrue((dc_power == 19.75).all())