Wind Effect on PV Module Temperature: Analysis of Different Techniques for an Accurate Estimation
Clemens SchwingshacklEURAC Research, Institute for Applied Remote Sensing, Viale Druso 1, 39100 Bolzano, ItalyMarcello PetittaENEA, Via Anguillarese 301, 00123 Roma, ItalyJochen WagnerEURAC Research, Institute for Applied Remote Sensing, Viale Druso 1, 39100 Bolzano, ItalyGiorgio BelluardoEURAC Research, Institute for Renewable Energy, Viale Druso 1, 39100 Bolzano, ItalyDavid MoserEURAC Research, Institute for Renewable Energy, Viale Druso 1, 39100 Bolzano, ItalyMariapina CastelliDICA, University of Trento, ItalyMarc ZebischEURAC Research, Institute for Applied Remote Sensing, Viale Druso 1, 39100 Bolzano, ItalyAnke TetzlaffEURAC Research, Institute for Applied Remote Sensing, Viale Druso 1, 39100 Bolzano, Italy
2013en
ABI
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Photovoltaic (PV) module temperature predictions are crucial to accurately assess the efficiency of PV installations. In this study we focus on the cooling effect of wind on PV cell temperature. We show that for most of the technologies installed at a PV test facility in Bolzano (Italy), models including wind data predict PV cell temperature better than standard approaches which do not include wind data. Moreover, we show that wind data from numerical weather prediction models can replace in-situ wind measurements: when they are used as model input, the prediction also improves significantly compared to the standard approach.
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