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

Volume

5

Issue

3

fYear

2015

fDate

May-15

Firstpage

947

Lastpage

955

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;

fLanguage

English

Journal_Title

Photovoltaics, IEEE Journal of

Publisher

ieee

ISSN

2156-3381

Type

jour

DOI

10.1109/JPHOTOV.2015.2397605

Filename

7044601