IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i7p1621-d153715.html
   My bibliography  Save this article

Evaluation of the Spot Shape on the Target for Flat Heliostats

Author

Listed:
  • David Jafrancesco

    (CNR-INO National Institute of Optics, Largo E. Fermi, 6-50125-Firenze, Italy)

  • Daniela Fontani

    (CNR-INO National Institute of Optics, Largo E. Fermi, 6-50125-Firenze, Italy)

  • Franco Francini

    (CNR-INO National Institute of Optics, Largo E. Fermi, 6-50125-Firenze, Italy)

  • Paola Sansoni

    (CNR-INO National Institute of Optics, Largo E. Fermi, 6-50125-Firenze, Italy)

Abstract

The aim of this study is to evaluate the changes of the spot shape on the target in dependence of the variations of size and faceting of a flat heliostat or an array of heliostats. The flat heliostat, or a flat heliostat array, is a layout common for Concentation Solar Power (CSP) plants. The spot shape is evaluated by means of a numerical integration of an appropriate function; in order to confirm the results, both an analysis based on the Lagrange invariance and some simulations are performed. The first one validates the power density value in the central part of the spot, while the simulations assess the spot shape, which in its central part differs less than 3% from the calculated result. The utilized numerical method does not require specialized software or complex calculation models; it determines an accurate spot shape but cannot take into account shading and blocking phenomena.

Suggested Citation

  • David Jafrancesco & Daniela Fontani & Franco Francini & Paola Sansoni, 2018. "Evaluation of the Spot Shape on the Target for Flat Heliostats," Energies, MDPI, vol. 11(7), pages 1-18, June.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1621-:d:153715
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/7/1621/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/7/1621/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jafrancesco, D. & Sansoni, P. & Francini, F. & Contento, G. & Cancro, C. & Privato, C. & Graditi, G. & Ferruzzi, D. & Mercatelli, L. & Sani, E. & Fontani, D., 2014. "Mirrors array for a solar furnace: Optical analysis and simulation results," Renewable Energy, Elsevier, vol. 63(C), pages 263-271.
    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. Sánchez-González, Alberto & Santana, Domingo, 2015. "Solar flux distribution on central receivers: A projection method from analytic function," Renewable Energy, Elsevier, vol. 74(C), pages 576-587.
    4. Elsayed, M.M. & Fathalah, K.A., 1994. "Solar flux density distribution using a separation of variables/superposition technique," Renewable Energy, Elsevier, vol. 4(1), pages 77-87.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qimei Chen & Yan Wang & Jianhan Zhang & Zhifeng Wang, 2020. "The Knowledge Mapping of Concentrating Solar Power Development Based on Literature Analysis Technology," Energies, MDPI, vol. 13(8), pages 1-15, April.

    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. Wang, Kun & He, Ya-Ling & Qiu, Yu & Zhang, Yuwen, 2016. "A novel integrated simulation approach couples MCRT and Gebhart methods to simulate solar radiation transfer in a solar power tower system with a cavity receiver," Renewable Energy, Elsevier, vol. 89(C), pages 93-107.
    2. 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.
    3. He, Caitou & Zhao, Hanli & He, Qi & Zhao, Yuhong & Feng, Jieqing, 2021. "Analytical radiative flux model via convolution integral and image plane mapping," Energy, Elsevier, vol. 222(C).
    4. 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.
    5. 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.
    6. Hamed Khodayar Sahebi & Siamak Hoseinzadeh & Hossein Ghadamian & Mohammad Hadi Ghasemi & Farbod Esmaeilion & Davide Astiaso Garcia, 2021. "Techno-Economic Analysis and New Design of a Photovoltaic Power Plant by a Direct Radiation Amplification System," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    7. Wei, Xiudong & Lu, Zhenwu & Yu, Weixing & Zhang, Hongxin & Wang, Zhifeng, 2011. "Tracking and ray tracing equations for the target-aligned heliostat for solar tower power plants," Renewable Energy, Elsevier, vol. 36(10), pages 2687-2693.
    8. 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.
    9. 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.
    10. Zeng, Zhichen & Ni, Dong & Xiao, Gang, 2022. "Real-time heliostat field aiming strategy optimization based on reinforcement learning," Applied Energy, Elsevier, vol. 307(C).
    11. 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.
    12. Arrif, Toufik & Hassani, Samir & Guermoui, Mawloud & Sánchez-González, A. & A.Taylor, Robert & Belaid, Abdelfetah, 2022. "GA-GOA hybrid algorithm and comparative study of different metaheuristic population-based algorithms for solar tower heliostat field design," Renewable Energy, Elsevier, vol. 192(C), pages 745-758.
    13. Huang, Weidong & Yu, Liang, 2018. "Development of a new flux density function for a focusing heliostat," Energy, Elsevier, vol. 151(C), pages 358-375.
    14. 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.
    15. Huang, Weidong & Yu, Liang & Hu, Peng, 2019. "An analytical solution for the solar flux density produced by a round focusing heliostat," Renewable Energy, Elsevier, vol. 134(C), pages 306-320.
    16. Zecan Tu & Daniela Piccioni Koch & Nenad Sarunac & Martin Frank & Junkui Mao, 2021. "Thermal Analysis of a Solar External Receiver Tube with a Novel Component of Guide Vanes," Energies, MDPI, vol. 14(8), pages 1-21, April.
    17. Conroy, Tim & Collins, Maurice N. & Fisher, James & Grimes, Ronan, 2018. "Thermal and mechanical analysis of a sodium-cooled solar receiver operating under a novel heliostat aiming point strategy," Applied Energy, Elsevier, vol. 230(C), pages 590-614.
    18. Petržala, J. & Kómar, L. & Kocifaj, M., 2017. "An advanced clear-sky model for more accurate irradiance and illuminance predictions for arbitrarily oriented inclined surfaces," Renewable Energy, Elsevier, vol. 106(C), pages 212-221.
    19. Wang, Wen-Qi & Li, Ming-Jia & Cheng, Ze-Dong & Li, Dong & Liu, Zhan-Bin, 2021. "Coupled optical-thermal-stress characteristics of a multi-tube external molten salt receiver for the next generation concentrating solar power," Energy, Elsevier, vol. 233(C).
    20. Zhou-Qiao Dai & Xu Ma & Xin-Yuan Tang & Ren-Zhong Zhang & Wei-Wei Yang, 2023. "Solar-Thermal-Chemical Integrated Design of a Cavity-Type Solar-Driven Methane Dry Reforming Reactor," Energies, MDPI, vol. 16(6), pages 1-21, March.

    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:gam:jeners:v:11:y:2018:i:7:p:1621-:d:153715. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.