Inaccuracies of input data relevant for PV yield prediction

Autor: A. Preiss, Nicoletta Ferretti, Soeren Rindert, Stefan Krauter, P. Grunow
Rok vydání: 2008
Předmět:
Zdroj: 2008 33rd IEEE Photovolatic Specialists Conference.
ISSN: 0160-8371
Popis: 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.
Databáze: OpenAIRE