IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v245y2025ics0960148125003982.html
   My bibliography  Save this article

HEFESTO: A novel tool for fast calculation and preliminary design of heliostat fields

Author

Listed:
  • Biencinto, Mario
  • Fernández-Reche, Jesús
  • Ávila-Marín, Antonio Luis

Abstract

This work introduces HEFESTO, a novel and innovative software tool conceived for the efficient estimation and preliminary design of heliostat fields in central receiver systems. The tool incorporates advanced methods for evaluating four key efficiency factors: cosine effect, atmospheric attenuation, shadowing and blocking, and spillage. A novel attenuation model based on aerosol optical depth offers enhanced flexibility and accuracy for various visibility conditions. Additionally, a new spillage estimation method leverages elliptical approximations of flux images, while a fast and efficient shadowing and blocking model significantly reduces computation times. HEFESTO also integrates reference models from the literature, such as the standard projection method for shadowing and blocking and the Hermite expansion for spillage, along with advanced solar field configurations, including biomimetic spirals and dense packing patterns. Validation using real data from 3 heliostats of the CESA-I heliostat field, ray-tracing simulations and entire field layouts with state-of-the-art design tools demonstrates strong agreement. Comparative analyses across field configurations and solar positions reveal that HEFESTO achieves up to a 10-fold speedup for shadowing and blocking (accuracy within 0.4 %) and 5-fold speedup for spillage (accuracy within 0.6 %) compared to standard methods, making it a powerful tool for optimizing heliostat field designs.

Suggested Citation

  • Biencinto, Mario & Fernández-Reche, Jesús & Ávila-Marín, Antonio Luis, 2025. "HEFESTO: A novel tool for fast calculation and preliminary design of heliostat fields," Renewable Energy, Elsevier, vol. 245(C).
  • Handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125003982
    DOI: 10.1016/j.renene.2025.122736
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125003982
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.122736?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Polo, Jesús & Ballestrín, Jesús & Carra, Elena, 2020. "Assessment and improvement of modeling the atmospheric attenuation based on aerosol optical depth information with applicability to solar tower plants," Energy, Elsevier, vol. 208(C).
    2. 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.
    3. Merchán, R.P. & Santos, M.J. & Medina, A. & Calvo Hernández, A., 2022. "High temperature central tower plants for concentrated solar power: 2021 overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    4. Huang, Weidong & Sun, Lulening, 2016. "Solar flux density calculation for a heliostat with an elliptical Gaussian distribution source," Applied Energy, Elsevier, vol. 182(C), pages 434-441.
    5. Leonardi, Erminia & D’Aguanno, Bruno, 2011. "CRS4-2: A numerical code for the calculation of the solar power collected in a central receiver system," Energy, Elsevier, vol. 36(8), pages 4828-4837.
    6. 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.
    7. Collado, Francisco J. & Guallar, Jesús, 2012. "Campo: Generation of regular heliostat fields," Renewable Energy, Elsevier, vol. 46(C), pages 49-59.
    8. 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.
    9. Besarati, Saeb M. & Yogi Goswami, D., 2014. "A computationally efficient method for the design of the heliostat field for solar power tower plant," Renewable Energy, Elsevier, vol. 69(C), pages 226-232.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Atif, Maimoon. & Al-Sulaiman, Fahad A., 2017. "Energy and exergy analyses of solar tower power plant driven supercritical carbon dioxide recompression cycles for six different locations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 153-167.
    3. Collado, Francisco J. & Guallar, Jesus, 2019. "Quick design of regular heliostat fields for commercial solar tower power plants," Energy, Elsevier, vol. 178(C), pages 115-125.
    4. 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.
    5. Xie, Qiyue & Guo, Ziqi & Liu, Daifei & Chen, Zhisheng & Shen, Zhongli & Wang, Xiaoli, 2021. "Optimization of heliostat field distribution based on improved Gray Wolf optimization algorithm," Renewable Energy, Elsevier, vol. 176(C), pages 447-458.
    6. Wang, Jianxing & Duan, Liqiang & Yang, Yongping, 2018. "An improvement crossover operation method in genetic algorithm and spatial optimization of heliostat field," Energy, Elsevier, vol. 155(C), pages 15-28.
    7. Saghafifar, Mohammad & Gadalla, Mohamed, 2016. "Thermo-economic analysis of air bottoming cycle hybridization using heliostat field collector: A comparative analysis," Energy, Elsevier, vol. 112(C), pages 698-714.
    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. Chao Li & Rongrong Zhai & Yongping Yang, 2017. "Optimization of a Heliostat Field Layout on Annual Basis Using a Hybrid Algorithm Combining Particle Swarm Optimization Algorithm and Genetic Algorithm," Energies, MDPI, vol. 10(11), pages 1-15, November.
    10. 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.
    11. Cui, Dongyu & Bian, Hong & Yu, Haizheng, 2024. "Quickly select heliostat candidates and design pattern-free layout using geometric projection method," Renewable Energy, Elsevier, vol. 237(PB).
    12. Cruz, N.C. & Salhi, S. & Redondo, J.L. & Álvarez, J.D. & Berenguel, M. & Ortigosa, P.M., 2018. "Hector, a new methodology for continuous and pattern-free heliostat field optimization," Applied Energy, Elsevier, vol. 225(C), pages 1123-1131.
    13. Zaharaddeen Ali Hussaini & Peter King & Chris Sansom, 2020. "Numerical Simulation and Design of Multi-Tower Concentrated Solar Power Fields," Sustainability, MDPI, vol. 12(6), pages 1-22, March.
    14. Ortega, Guillermo & Rovira, Antonio, 2020. "A fast and accurate methodology for the calculation of the shading and blocking efficiency in central receiver systems," Renewable Energy, Elsevier, vol. 154(C), pages 58-70.
    15. Saghafifar, Mohammad & Gadalla, Mohamed & Mohammadi, Kasra, 2019. "Thermo-economic analysis and optimization of heliostat fields using AINEH code: Analysis of implementation of non-equal heliostats (AINEH)," Renewable Energy, Elsevier, vol. 135(C), pages 920-935.
    16. 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.
    17. Tang, Xin-Yuan & Yang, Wei-Wei & Li, Jia-Chen & Liang, Lan-Xin & Lin, Yi-Wan & He, Ya-Ling, 2025. "A new heliostat field optimal design strategy for deformable petal hybrid layout of concentrated solar power via multi-algorithm filtering," Renewable Energy, Elsevier, vol. 243(C).
    18. 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.
    19. Okoroigwe, Edmund & Madhlopa, Amos, 2016. "An integrated combined cycle system driven by a solar tower: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 337-350.
    20. Mostafavi Tehrani, S. Saeed & Taylor, Robert A., 2016. "Off-design simulation and performance of molten salt cavity receivers in solar tower plants under realistic operational modes and control strategies," Applied Energy, Elsevier, vol. 179(C), pages 698-715.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125003982. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.