Inaccuracies of input data relevant for PV yield prediction

Accuracy of the PV yield prediction process, including meteorological data (direct and diffuse irradiance with its actual spectral composition and spatial distribution), material properties of encapsulation (refractive indices, absorption coefficients, thermal properties), parameters relevant for he...

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Bibliographic Details
Main Authors: Krauter, Stefan, Grunow, Paul, Preiss, Alexander, Rindert, Soeren, Ferretti, Nicoletta
Format: Conference Proceeding
Language:English
Subjects:
Absorption
Accuracy
Encapsulation
Heat transfer
Material properties
Meteorology
Optical refraction
Temperature dependence
Temperature distribution
Thermal degradation
Online Access:Request full text
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Summary:Accuracy of the PV yield prediction process, including meteorological data (direct and diffuse irradiance with its actual spectral composition and spatial distribution), material properties of encapsulation (refractive indices, absorption coefficients, thermal properties), parameters relevant for heat transfer, PV conversion parameters of the cell (temperature coefficients, spectral response, weak light performance, degradation) considerably depends on the quality of the input data applied (derived from literature, data sheets, norms, software tools, or own measurements). The contribution gives an overview of the processes involved, the relevant parameters, the accuracy achievable and the impact on yield prediction.
ISSN:0160-8371
DOI:10.1109/PVSC.2008.4922866