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A novel method for optical performance prediction of heliostat fields based on ray tracing and polygon clipping algorithm

Author

Listed:
  • Jiang, Rui
  • Du, Shen
  • Li, Meng-Jie
  • Li, Ming-Jia

Abstract

In current methods for calculating the optical efficiency of heliostat fields, the Monte Carlo ray tracing method (MCRT) is highly precise but time-consuming, whereas the geometric projection method exhibits the contrasting characteristics. Both methods face challenges in accurately and efficiently predicting the optical efficiency of large-scale heliostat fields. To address this issue, a novel method, termed the “light spot clipping method” (LSCM), is proposed, combining the ray tracing method with the polygon clipping algorithm. In this method, ray tracing is employed to calculate the light spots formed by heliostats, ensuring calculation accuracy, while the polygon clipping algorithm replaces the Monte Carlo statistical method to improve calculation efficiency. Moreover, the polygon clipping algorithm can deal with more complex heliostat shapes like the pentagonal or hexagonal heliostat. This method is used to analyze the influence of key parameters of the heliostat field on its annual optical efficiency, followed by the optimization of the large-scale heliostat field layout. The results demonstrate that, compared to the MCRT method, the absolute error in optical efficiency obtained using the proposed LSCM is less than ±0.15 %, significantly lower than the 1.7 % error from the geometric projection method, with a reduction in calculation time exceeding 99 %. For the large-scale field consisting of 14,500 heliostats, the calculation time for the LSCM is approximately 1 min per case, comparable to that of the geometric projection method. Additionally, this study proposes a new biomimetic layout of “radial gradually sparse-circumferential scaling”, which effectively enhances optical efficiency. Following optimization, the new layout increases the annual optical efficiency by 1.06 % compared to the original layout.

Suggested Citation

  • Jiang, Rui & Du, Shen & Li, Meng-Jie & Li, Ming-Jia, 2025. "A novel method for optical performance prediction of heliostat fields based on ray tracing and polygon clipping algorithm," Renewable Energy, Elsevier, vol. 255(C).
  • Handle: RePEc:eee:renene:v:255:y:2025:i:c:s0960148125014934
    DOI: 10.1016/j.renene.2025.123829
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    References listed on IDEAS

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    1. Qiu, Yu & Li, Ming-Jia & Wang, Kun & Liu, Zhan-Bin & Xue, Xiao-Dai, 2017. "Aiming strategy optimization for uniform flux distribution in the receiver of a linear Fresnel solar reflector using a multi-objective genetic algorithm," Applied Energy, Elsevier, vol. 205(C), pages 1394-1407.
    2. Solntsev, Igor A. & Chintagunta, Abhishek & Markesteijn, Annabel P. & Karabasov, Sergey A., 2023. "CABARET on rotating meshes," Applied Mathematics and Computation, Elsevier, vol. 446(C).
    3. Li, Meng-Jie & Li, Ming-Jia & Jiang, Rui & Du, Shen & Li, Xiao-Yue, 2024. "Study on the dynamic characteristics of a concentrated solar power plant with the supercritical CO2 Brayton cycle coupled with different thermal energy storage methods," Energy, Elsevier, vol. 288(C).
    4. He, Ya-Ling & Qiu, Yu & Wang, Kun & Yuan, Fan & Wang, Wen-Qi & Li, Ming-Jia & Guo, Jia-Qi, 2020. "Perspective of concentrating solar power," Energy, Elsevier, vol. 198(C).
    5. Zhang, Maolong & Yang, Lijun & Xu, Chao & Du, Xiaoze, 2016. "An efficient code to optimize the heliostat field and comparisons between the biomimetic spiral and staggered layout," Renewable Energy, Elsevier, vol. 87(P1), pages 720-730.
    6. He, Ya-Ling & Xiao, Jie & Cheng, Ze-Dong & Tao, Yu-Bing, 2011. "A MCRT and FVM coupled simulation method for energy conversion process in parabolic trough solar collector," Renewable Energy, Elsevier, vol. 36(3), pages 976-985.
    7. Ortega, Guillermo & Rovira, Antonio, 2020. "A new method for the selection of candidates for shading and blocking in central receiver systems," Renewable Energy, Elsevier, vol. 152(C), pages 961-973.
    8. Collado, Francisco J. & Guallar, Jesús, 2013. "A review of optimized design layouts for solar power tower plants with campo code," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 142-154.
    9. Qiu, Yu & He, Ya-Ling & Li, Peiwen & Du, Bao-Cun, 2017. "A comprehensive model for analysis of real-time optical performance of a solar power tower with a multi-tube cavity receiver," Applied Energy, Elsevier, vol. 185(P1), pages 589-603.
    10. Jafrancesco, David & Cardoso, Joao P. & Mutuberria, Amaia & Leonardi, Erminia & Les, Iñigo & Sansoni, Paola & Francini, Franco & Fontani, Daniela, 2018. "Optical simulation of a central receiver system: Comparison of different software tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 792-803.
    11. Rizvi, Arslan A. & Yang, Dong, 2022. "A detailed account of calculation of shading and blocking factor of a heliostat field," Renewable Energy, Elsevier, vol. 181(C), pages 292-303.
    12. Cheng, Ze-Dong & Zhao, Xue-Ru & He, Ya-Ling, 2018. "Novel optical efficiency formulas for parabolic trough solar collectors: Computing method and applications," Applied Energy, Elsevier, vol. 224(C), pages 682-697.
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