pvdeg.humidity.back_encap#

pvdeg.humidity.back_encap(rh_ambient, temp_ambient, temp_module, WVTRo=7970633554, EaWVTR=55.0255, So=1.81390702, l=0.5, Eas=16.729)[source]#

rh_back_encap()

Function to calculate the Relative Humidity of Backside Solar Module Encapsulant and return a pandas series for each time step

Parameters:

rh_ambient (pandas series (float)) – The ambient outdoor environmnet relative humidity in [%] EXAMPLE: “50 = 50% NOT .5 = 50%”
temp_ambient (pandas series (float)) – The ambient outdoor environmnet temperature in Celsius
temp_module (list (float)) – The surface temperature in Celsius of the solar panel module “module temperature [°C]”
WVTRo (float) – Water Vapor Transfer Rate prefactor [g/m2/day]. The suggested value for EVA is WVTRo = 7970633554[g/m2/day].
EaWVTR (float) – Water Vapor Transfer Rate activation energy [kJ/mol] . It is suggested to use 0.15[mm] thick PET as a default for the backsheet and set EaWVTR=55.0255[kJ/mol]
So (float) – Encapsulant solubility prefactor in [g/cm3] So = 1.81390702[g/cm3] is the suggested value for EVA.
l (float) – Thickness of the backside encapsulant [mm]. The suggested value for encapsulat is EVA l=0.5[mm]
Eas (float) – Encapsulant solubility activation energy in [kJ/mol] Eas = 16.729[kJ/mol] is the suggested value for EVA.

Returns:

RHback_series (pandas series (float)) – Relative Humidity of Backside Solar Module Encapsulant [%]