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Heliostat field cleaning scheduling for Solar Power Tower plants: A heuristic approach

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  • Ashley, Thomas
  • Carrizosa, Emilio
  • Fernández-Cara, Enrique

Abstract

Soiling of heliostat surfaces due to local climate has a direct impact on their optical efficiency and therefore a direct impact on the productivity of the Solar Power Tower plant. Cleaning techniques applied are dependent on plant construction and current schedules are normally developed considering heliostat layout patterns, providing sub-optimal results. In this paper, a method to optimise cleaning schedules is developed, with the objective of maximising energy generated by the plant. First, an algorithm finds a cleaning schedule by solving an integer program, which is then used as a starting solution in an exchange heuristic. Since the optimisation problems are of large size, a p-median type heuristic is performed to reduce the problem dimensionality by clustering heliostats into groups to be cleaned in the same period.

Suggested Citation

  • Ashley, Thomas & Carrizosa, Emilio & Fernández-Cara, Enrique, 2019. "Heliostat field cleaning scheduling for Solar Power Tower plants: A heuristic approach," Applied Energy, Elsevier, vol. 235(C), pages 653-660.
    • Handle: RePEc:eee:appene:v:235:y:2019:i:c:p:653-660
    DOI: 10.1016/j.apenergy.2018.11.004
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    References listed on IDEAS

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    1. Abdulsalam S. Alghamdi & AbuBakr S. Bahaj & Luke S. Blunden & Yue Wu, 2019. "Dust Removal from Solar PV Modules by Automated Cleaning Systems," Energies, MDPI, vol. 12(15), pages 1-21, July.
    2. Truong-Ba, Huy & Cholette, Michael E. & Picotti, Giovanni & Steinberg, Theodore A. & Manzolini, Giampaolo, 2020. "Sectorial reflectance-based cleaning policy of heliostats for Solar Tower power plants," Renewable Energy, Elsevier, vol. 166(C), pages 176-189.

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