Experimental validation of a probabilistic model for estimating the double axis PV tracking energy production

Giuseppe Marco Tina, Salvina Gagliano, Giorgio Graditi and Angelo Merola

Applied Energy, 2012, vol. 97, issue C, 990-998

Abstract: This work aims to study the impact of different models for the evaluation of the efficiency of a double axis PV tracking system on the monthly probability distribution function of the AC power. Two components of the global efficiency are analysed, that is: the effect of PV cells temperature on the module efficiency and the DC/AC converter efficiency. In particular, the temperature efficiency model combines basic parameters characterizing the array, with the local monthly average temperature and the monthly clearness index to yield a monthly average efficiency. The simulation results are compared with experimental data related to a 9.6kWp PV plant installed in ENEA research centre located in Portici, Naples (Italy). The tuning of the model is performed by both system measurements and environmental data.

Keywords: Probabilistic model; Energy performance; PV tracking; Module temperature (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:97:y:2012:i:c:p:990-998

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DOI: 10.1016/j.apenergy.2012.01.054

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