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

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

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15 Citations (Scopus)

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 9.6kWpPV 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. © 2012 Elsevier Ltd.
Original languageEnglish
Pages (from-to)990 - 998
Number of pages9
JournalApplied Energy
Volume97
DOIs
Publication statusPublished - 2012

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All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Energy(all)

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