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Irradiance Enhancement Analysis of its Effects and of the PV System Response

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Citation:
Zehner, M. , Weigl, T. , Czakalla, M. , Hartmann, M. , Thaler, S. , Mayer, B. , Betts, T. , Gottschalg, R. , Behrens, K. , Giesler, B. , König-Langlo, G. , Becker, G. and Mayer, O. (2011): Irradiance Enhancement Analysis of its Effects and of the PV System Response , 26th European Photovoltaic Solar Energy Conference and Exhibition, pp. 3935-3938 . doi: 104229/26thEUPVSEC2011-5AO63
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104229/26thEUPVSEC2011-5AO63
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Abstract:

The analysis of high resolution measurement data, from Munich, showed significant and repeated irradiation peaks. For irradiation enhancements (IE), the observed irradiation is above the theoretically-calculated global irradiation of a clear sky day (i.e. for the given time with a clear sky and atmosphere). The increased irradiation power is mainly caused by reflections of cumulus clouds. Along with the elevated global irradiation, low ambient and module temperatures were observed, due to cloud coverage between irradiance enhancements peaks. This analysis investigates the essential meteorological observation from these data records. It also depicts the technological effects on the PV-system. To illustrate this, the irradiation peaks are classified by their specific characteristics such as magnitude, period, distribution or slope. Therefore data sets from several Baseline Surface Radiation Network (BSRN) sites, representing various climatic zones are examined to evaluate the magnitude of this effect across Europe and its dependence on general meteorological conditions. It is key to understand the PVsystem’s response to the monitored IE-effects. The employment of the simulation environment INSEL (for various PV-cell types and panels) enables simulations of incorporate high resolution measurement data and (commercially available) PV-module simulation data. The output power of the modules investigated could be up to 30 % higher than under STC conditions. The system response was also explored by using a solar generator simulator and by evaluating operating data sets of MW PV-plants.

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