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Accurate optical model for design and analysis of solar fields based on heterogeneous multicore systems

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  • Chiesi, Matteo
  • Vanzolini, Luca
  • Franchi Scarselli, Eleonora
  • Guerrieri, Roberto

Abstract

This work deals with parallel algorithms for the optical design and analysis of solar fields for Central Receiver Systems. The proposed implementation based on desktop workstations equipped with multiple Graphics Processing Units (GPU) is motivated by the need to have an accurate and fast simulation environment for studying mirror imperfection and non-planar geometries. Since heliostat field layouts can be composed of thousands of mirrors, and for each one a complex 3D geometry problem must be solved, this can take a long time even with highly optimized CPU-based solvers. The GPU-accelerated solver outperforms an optimized OpenMP-based reference, running on 8 CPU cores, up to 52× depending on the complexity of the problem, at the cost of a very modest hardware upgrade of two GPU GTX 590 and one GTX 480 graphics cards. Several applications demonstrate that the parallel algorithm preserves flexibility to model complex mirror geometries and non-idealities.

Suggested Citation

  • Chiesi, Matteo & Vanzolini, Luca & Franchi Scarselli, Eleonora & Guerrieri, Roberto, 2013. "Accurate optical model for design and analysis of solar fields based on heterogeneous multicore systems," Renewable Energy, Elsevier, vol. 55(C), pages 241-251.
    • Handle: RePEc:eee:renene:v:55:y:2013:i:c:p:241-251
    DOI: 10.1016/j.renene.2012.12.025
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    References listed on IDEAS

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    1. Wei, Xiudong & Lu, Zhenwu & Wang, Zhifeng & Yu, Weixing & Zhang, Hongxing & Yao, Zhihao, 2010. "A new method for the design of the heliostat field layout for solar tower power plant," Renewable Energy, Elsevier, vol. 35(9), pages 1970-1975.
    2. Chong, K.K. & Siaw, F.L. & Wong, C.W. & Wong, G.S., 2009. "Design and construction of non-imaging planar concentrator for concentrator photovoltaic system," Renewable Energy, Elsevier, vol. 34(5), pages 1364-1370.
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    Cited by:

    1. Cruz, N.C. & Redondo, J.L. & Berenguel, M. & Álvarez, J.D. & Ortigosa, P.M., 2017. "Review of software for optical analyzing and optimizing heliostat fields," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1001-1018.
    2. Liu, Zengqiang & Lin, Xiaoxia & Zhao, Yuhong & Feng, Jieqing, 2023. "Determination of simulation parameters in Monte Carlo ray tracing for radiative flux density distribution simulation," Energy, Elsevier, vol. 276(C).
    3. Chiesi, Matteo & Franchi Scarselli, Eleonora & Guerrieri, Roberto, 2017. "Run-time detection and correction of heliostat tracking errors," Renewable Energy, Elsevier, vol. 105(C), pages 702-711.
    4. Harnpon Phungrassami & Phairat Usubharatana, 2024. "Development and Analysis of the Heliostat Curve Tracing Parametric Model (HCTPM) for Sustainable Solar Energy in Sun-Tracking Concentrated Solar Power Systems," Sustainability, MDPI, vol. 16(21), pages 1-21, October.
    5. Lin, Xiaoxia & He, Caitou & Huang, Wenjun & Zhao, Yuhong & Feng, Jieqing, 2022. "GPU-based Monte Carlo ray tracing simulation considering refraction for central receiver system," Renewable Energy, Elsevier, vol. 193(C), pages 367-382.

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