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Experimental study and evaluate the compressed air dust removal performance based on the trough solar system in the alpine area

Author

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  • Wang, Zhimin
  • Wang, Xing
  • Bian, Gangxing
  • Kong, Fance
  • Yue, Shangyu

Abstract

Dust accumulation can seriously degrade the photothermal performance of trough solar systems, and the selection of appropriate dust removal techniques in particular climatic areas has become a problem. This study investigated the effects of different airflow pressures and other factors on dust removal from concentrator surfaces in the alpine area, experimentally. Exploring the cleaning efficiency and desorption mechanisms of compressed airflow on typical dust types. The Whale Optimization Algorithm-Backpropagation Neural Network model was used to predict the dust removal performance under various factors in the trough solar system. Results show that the concentrator is cleared using the minimum airflow pressure of 0.4MPa, the removal efficiency of severe dust accumulation on the concentrator can reach up to 57.4 %. Subject to the influence of dust particle size, the removal efficiencies of the three types of dusts are Hunshandake sand > Road Dust > Campus Dust, and the overall removal efficiencies can reach up to 60 % or more in all of them. The R2 and RMSE of the WOA-BP model are respectively 0.965, 0.069. The results of the study can provide theoretical basis and engineering application guidance for the dust removal of trough system in alpine area.

Suggested Citation

  • Wang, Zhimin & Wang, Xing & Bian, Gangxing & Kong, Fance & Yue, Shangyu, 2026. "Experimental study and evaluate the compressed air dust removal performance based on the trough solar system in the alpine area," Renewable Energy, Elsevier, vol. 256(PC).
    • Handle: RePEc:eee:renene:v:256:y:2026:i:pc:s0960148125016787
    DOI: 10.1016/j.renene.2025.124014
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