IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v34y2009i5p1359-1363.html
   My bibliography  Save this article

Preliminary design of surrounding heliostat fields

Author

Listed:
  • Collado, Francisco J.

Abstract

Recently, the author has shown elsewhere a simplified model that allows quick evaluations of the annual overall energy collected by a surrounding heliostat field. This model is the combination of an analytical flux density function produced by a heliostat, developed by the own author, and an optimized mirror density distribution developed by University of Houston for the Solar One Project. As main conclusion of this previous work, it was recognized that such pseudo-continuous simplified model should not substitute much more accurate discrete evaluations, which manage thousands of individual heliostat coordinates. Here in this work, the difficulty of generating a preliminary discrete layout of a large number of heliostats is addressed. The main novelty is the direct definition of thousands of heliostat coordinates through basically two parameters i.e. a simplified blocking factor and an additional security distance. Such procedure, which was formerly theoretically suggested by the author, is put into practice here, showing examples and commenting their problems and advantages. Getting a previous set of thousands of heliostat coordinates would be a major first step in the complex process of designing solar power tower (SPT).

Suggested Citation

  • Collado, Francisco J., 2009. "Preliminary design of surrounding heliostat fields," Renewable Energy, Elsevier, vol. 34(5), pages 1359-1363.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:5:p:1359-1363
    DOI: 10.1016/j.renene.2008.09.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148108003376
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2008.09.003?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.

    Citations

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


    Cited by:

    1. 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.
    2. Gupta, M.K. & Kaushik, S.C. & Ranjan, K.R. & Panwar, N.L. & Reddy, V. Siva & Tyagi, S.K., 2015. "Thermodynamic performance evaluation of solar and other thermal power generation systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 567-582.
    3. Collado, Francisco J. & Guallar, Jesús, 2012. "Campo: Generation of regular heliostat fields," Renewable Energy, Elsevier, vol. 46(C), pages 49-59.
    4. 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.
    5. 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.
    6. Jafrancesco, D. & Sansoni, P. & Francini, F. & Fontani, D., 2016. "Strategy and criteria to optically design a solar concentration plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1066-1073.
    7. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic optimization of hybrid solar Maisotsenko bottoming cycles using heliostat field collector: Comparative analysis," Applied Energy, Elsevier, vol. 190(C), pages 686-702.
    8. Shakeel, Mohammad Raghib & Mokheimer, Esmail M.A., 2022. "A techno-economic evaluation of utility scale solar power generation," Energy, Elsevier, vol. 261(PA).
    9. 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.
    10. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic evaluation of water-injected air bottoming cycles hybridization using heliostat field collector: Comparative analyses," Energy, Elsevier, vol. 119(C), pages 1230-1246.
    11. 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.
    12. 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.
    13. 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.
    14. Siva Reddy, V. & Kaushik, S.C. & Ranjan, K.R. & Tyagi, S.K., 2013. "State-of-the-art of solar thermal power plants—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 258-273.
    15. Yang, Jingze & Yang, Zhen & Duan, Yuanyuan, 2022. "A review on integrated design and off-design operation of solar power tower system with S–CO2 Brayton cycle," Energy, Elsevier, vol. 246(C).
    16. 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.
    17. Behar, Omar & Khellaf, Abdallah & Mohammedi, Kamal, 2013. "A review of studies on central receiver solar thermal power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 12-39.
    18. Merchán, R.P. & Santos, M.J. & Heras, I. & Gonzalez-Ayala, J. & Medina, A. & Hernández, A. Calvo, 2020. "On-design pre-optimization and off-design analysis of hybrid Brayton thermosolar tower power plants for different fluids and plant configurations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    19. Yamani, Noureddine & Khellaf, Abdallah & Mohammedi, Kamal & Behar, Omar, 2017. "Assessment of solar thermal tower technology under Algerian climate," Energy, Elsevier, vol. 126(C), pages 444-460.

    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:34:y:2009:i:5:p:1359-1363. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.