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Applications of ANNs in the Field of the HCPV Technology

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High Concentrator Photovoltaics

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

High-concentrator photovoltaic (HCPV) devices are based on the use of multijunctions solar cells and optical devices. Therefore, the electrical modelling of an HCPV device presents a great level of complexity. Several artificial neural network (ANN)—based models have been developed to try to address this issue. In this chapter, a review of the developed ANN—based models developed to try to address some issues related with the field of high concentrator PV technology is reported. In addition, the results obtained from the application of some of these models to estimate the electrical parameters of an HCPV module—such as maximum power, short-circuit current, and open-circuit voltage—are presented. The results show that the ANNs are a useful tool for modelling HCPV applications.

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Authors and Affiliations

  1. IDEA Research Group, University of Jaén, Campus Lagunillas, 23071, Jaén, Spain

    Florencia Almonacid

  2. Faculty of Sciences and Technology, Renewable Energy Laboratory, Jijel University, 18000, Jijel, Algeria

    Adel Mellit

  3. Department of Mechanical Engineering and Materials Sciences and Engineering, Cyprus University of Technology, P.O. Box 50329, 3603, Limassol, Cyprus

    Soteris A. Kalogirou

Authors
  1. Florencia Almonacid
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  2. Adel Mellit
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  3. Soteris A. Kalogirou
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Correspondence to Florencia Almonacid .

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Editors and Affiliations

  1. University of Jaén, Jaén, Spain

    Pedro Pérez-Higueras

  2. University of Santiago de Compostela, Santiago de Compostela, Spain

    Eduardo F. Fernández

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Almonacid, F., Mellit, A., Kalogirou, S.A. (2015). Applications of ANNs in the Field of the HCPV Technology. In: Pérez-Higueras, P., Fernández, E. (eds) High Concentrator Photovoltaics. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-15039-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-15039-0_12

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-15039-0

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