Title :
Performance Analysis of Models for Calculating the Maximum Power of High Concentrator Photovoltaic Modules
Author :
Soria-Moya, Alberto ; Almonacid Cruz, Florencia ; Fernandez, Eduardo F. ; Rodrigo, Pedro ; Mallick, Tapas K. ; Perez-Higueras, Pedro
Author_Institution :
Centre of Adv. Studies in Energy & Environ., Univ. of Jaen, Jaen, Spain
Abstract :
Due to its special features, one of the problems of high concentrator photovoltaic (HCPV) technology is the estimation of the electrical output of an HCPV module. Although there are several methods for doing this, only some of them can be applied using easily obtainable atmospheric parameters. In this paper, four models to estimate the maximum power of an HCPV module are studied and compared. The models that have been taken into account are the standard ASTM E2527, the linear coefficient model, the Sandia National Laboratories model, and an artificial neural network-based model. Results demonstrate that the four methods show adequate behavior in the estimation of the maximum power of several HCPV modules from different manufacturers.
Keywords :
photovoltaic cells; solar energy concentrators; HCPV module; HCPV technology; Sandia National Laboratories model; artificial neural network-based model; atmospheric parameter; electrical output; high concentrator photovoltaic modules; high concentrator photovoltaic technology; linear coefficient model; standard ASTM E2527; Analytical models; Artificial neural networks; Atmospheric modeling; Laboratories; Mathematical model; Standards; Temperature measurement; High concentrator photovoltaic (HCPV); mathematical methods; maximum power; outdoor measurements;
Journal_Title :
Photovoltaics, IEEE Journal of
DOI :
10.1109/JPHOTOV.2015.2397605
