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Heliostat-field soiling predictions and cleaning resource optimization for solar tower plants

Author

Listed:
  • Anderson, Cody B.
  • Picotti, Giovanni
  • Cholette, Michael E.
  • Leslie, Bruce
  • Steinberg, Theodore A.
  • Manzolini, Giampaolo

Abstract

One of the primary cost drivers for concentrated solar power operations and maintenance is the soiling of heliostats in the solar field. Although this loss can be largely recovered through cleaning operations, the associated costs are substantial and require careful consideration in relation to productivity gains.

Suggested Citation

  • Anderson, Cody B. & Picotti, Giovanni & Cholette, Michael E. & Leslie, Bruce & Steinberg, Theodore A. & Manzolini, Giampaolo, 2023. "Heliostat-field soiling predictions and cleaning resource optimization for solar tower plants," Applied Energy, Elsevier, vol. 352(C).
    • Handle: RePEc:eee:appene:v:352:y:2023:i:c:s0306261923013272
    DOI: 10.1016/j.apenergy.2023.121963
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    References listed on IDEAS

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    1. 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.
    2. Hachicha, Ahmed Amine & Al-Sawafta, Israa & Ben Hamadou, Dhouha, 2019. "Numerical and experimental investigations of dust effect on CSP performance under United Arab Emirates weather conditions," Renewable Energy, Elsevier, vol. 143(C), pages 263-276.
    3. Bahadori, Alireza & Nwaoha, Chikezie, 2013. "A review on solar energy utilisation in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 1-5.
    4. Ballestrín, Jesús & Polo, Jesús & Martín-Chivelet, Nuria & Barbero, Javier & Carra, Elena & Alonso-Montesinos, Joaquín & Marzo, Aitor, 2022. "Soiling forecasting of solar plants: A combined heuristic approach and autoregressive model," Energy, Elsevier, vol. 239(PE).
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