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Development of a new method to estimate the incident solar flux on central receivers from deteriorated heliostats

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  • Rodríguez-Sánchez, M.R.
  • Leray, C.
  • Toutant, A.
  • Ferriere, A.
  • Olalde, G.

Abstract

This work proposes a new empirical direct methodology to estimate both the solar flux distribution and intensity on the surface of central receivers. In solar power tower plants with deteriorated heliostats, the numerical simulations to estimate the incident solar flux are not precise. Hence the thermal behaviour of the receivers cannot be determined. In those cases, direct measurement or semi-empirical methodologies are required to characterize the radiant power on the receiver.

Suggested Citation

  • Rodríguez-Sánchez, M.R. & Leray, C. & Toutant, A. & Ferriere, A. & Olalde, G., 2019. "Development of a new method to estimate the incident solar flux on central receivers from deteriorated heliostats," Renewable Energy, Elsevier, vol. 130(C), pages 182-190.
    • Handle: RePEc:eee:renene:v:130:y:2019:i:c:p:182-190
    DOI: 10.1016/j.renene.2018.06.056
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    References listed on IDEAS

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    1. Piroozmand, Pasha & Boroushaki, Mehrdad, 2016. "A computational method for optimal design of the multi-tower heliostat field considering heliostats interactions," Energy, Elsevier, vol. 106(C), pages 240-252.
    2. Ballestrín, J. & Monterreal, R., 2004. "Hybrid heat flux measurement system for solar central receiver evaluation," Energy, Elsevier, vol. 29(5), pages 915-924.
    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. 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.
    5. Rodriguez-Sanchez, M.R. & Sanchez-Gonzalez, A. & Santana, D., 2015. "Revised receiver efficiency of molten-salt power towers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1331-1339.
    6. 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.
    7. Collado, Francisco J. & Guallar, Jesús, 2012. "Campo: Generation of regular heliostat fields," Renewable Energy, Elsevier, vol. 46(C), pages 49-59.
    8. 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.
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    Cited by:

    1. Sánchez-González, Alberto & Lozano-Cancelas, Adrián & Morales-Sánchez, Rodrigo & Castillo, José Carlos, 2022. "Canting heliostats with computer vision and theoretical imaging," Renewable Energy, Elsevier, vol. 200(C), pages 957-969.
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    3. Ziyati, Dounia & Dollet, Alain & Flamant, Gilles & Volut, Yann & Guillot, Emmanuel & Vossier, Alexis, 2021. "A multiphysics model of large-scale compact PV–CSP hybrid plants," Applied Energy, Elsevier, vol. 288(C).

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