pvdeg.standards.T98_estimate

pvdeg.standards.T98_estimate(weather_df=None, meta=None, weather_kwarg=None, sky_model='isotropic', temp_model='sapm', conf_0='insulated_back_glass_polymer', conf_inf='open_rack_glass_polymer', wind_factor=0.33, tilt=None, azimuth=None, x_eff=None, x_0=6.5)

Estimate the 98ᵗʰ percential temperature for the module at the given tilt, azimuth, and x_eff. If any of these factors are supplied, it default to latitide tilt, equatorial facing, and open rack mounted, respectively.

Parameters:

• x_eff (float) – This is the effective module standoff distance according to the model. [cm]

• x_0 (float, optional) – Thermal decay constant. [cm]

• weather_df (pd.DataFrame) – Weather data for a single location.

• meta (pd.DataFrame) – Meta data for a single location.

• tilt (float,) – Tilt angle of PV system relative to horizontal. [°]

• azimuth (float, optional) – Azimuth angle of PV system relative to north. [°]

• sky_model (str, optional) – Options: ‘isotropic’, ‘klucher’, ‘haydavies’, ‘reindl’, ‘king’, ‘perez’.

• temp_model (str, optional) – Options: ‘sapm’. ‘pvsyst’ and ‘faiman’ will be added later. Performs the calculations for the cell temperature.

• conf_0 (str, optional) – Model for the high temperature module on the exponential decay curve. Default: ‘insulated_back_glass_polymer’

• conf_inf (str, optional) – Model for the lowest temperature module on the exponential decay curve. Default: ‘open_rack_glass_polymer’

• wind_factor (float, optional) – Wind speed correction exponent to account for different wind speed measurement heights between weather database (e.g. NSRDB) and the tempeature model (e.g. SAPM) The NSRDB provides calculations at 2 m (i.e module height) but SAPM uses a 10 m height. It is recommended that a power-law relationship between height and wind speed of 0.33 be used*. This results in a wind speed that is 1.7 times higher. It is acknowledged that this can vary significantly.

• Rabbani (R.) – estimation, analysis of wind characteristics and energy potential assessment for selected sites in Pakistan”, Renewable Energy 154 (2020) 1240-1251.

• Zeeshan (M.) – estimation, analysis of wind characteristics and energy potential assessment for selected sites in Pakistan”, Renewable Energy 154 (2020) 1240-1251.

• energy ("Exploring the suitability of MERRA-2 reanalysis data for wind) – estimation, analysis of wind characteristics and energy potential assessment for selected sites in Pakistan”, Renewable Energy 154 (2020) 1240-1251.

Returns:

T98 (float) – This is the 98ᵗʰ percential temperature for the module at the given tilt, azimuth, and x_eff.