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Concentrator photovoltaic (CPV) modules, which utilize optical techniques to concentrate solar irradiance onto high-performance multijunction (MJ) cells, differ significantly from conventional flat-plate photovoltaic (PV) modules. Despite the differences and the relative novelty of CPV systems, CPV systems can often benefit from the lessons learned in established PV technologies, yet the distinction requires CPV-tailored methodologies. Despite their advanced design, CPV systems face challenges due to incomplete data, expensive equipment, and difficulties in spectral analysis. Thus, to develop the understanding of CPV modules further, their performance must be carefully monitored. This is true for parameters influencing 5-junction CPV module performance, including the spectral composition of the DNI. This investigation aims to develop a methodology to evaluate the performance of CPV modules with considerations for absent data, standardized equipment, and spectral analysis. By focusing on a 5-junction CPV module and leveraging meteorological, power metric and spectral data from the Outdoor Research Facility at Nelson Mandela University, this methodology aims to enhance the understanding and optimization of CPV technology.

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A Methodology for Evaluating the Performance of a Concentrator Photovoltaic Module

  • 会议论文

  • 发表日期：

    2026年

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  • Elizabeth M. Hagemann,
  • Frederik J. Vorster,
  • E. Ernest van Dyk

摘要

Concentrator photovoltaic (CPV) modules, which utilize optical techniques to concentrate solar irradiance onto high-performance multijunction (MJ) cells, differ significantly from conventional flat-plate photovoltaic (PV) modules. Despite the differences and the relative novelty of CPV systems, CPV systems can often benefit from the lessons learned in established PV technologies, yet the distinction requires CPV-tailored methodologies. Despite their advanced design, CPV systems face challenges due to incomplete data, expensive equipment, and difficulties in spectral analysis. Thus, to develop the understanding of CPV modules further, their performance must be carefully monitored. This is true for parameters influencing 5-junction CPV module performance, including the spectral composition of the DNI. This investigation aims to develop a methodology to evaluate the performance of CPV modules with considerations for absent data, standardized equipment, and spectral analysis. By focusing on a 5-junction CPV module and leveraging meteorological, power metric and spectral data from the Outdoor Research Facility at Nelson Mandela University, this methodology aims to enhance the understanding and optimization of CPV technology.