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.
All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
Tina, G. M., Gagliano, S., Graditi, G., & Merola, A. (2012). Experimental validation of a probabilistic model for estimating the double axis PV tracking energy production. Applied Energy, 97, 990 - 998. https://doi.org/10.1016/j.apenergy.2012.01.054