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CFD prediction of dust pollution and impact on an isolated ground-mounted solar photovoltaic system

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  • Lu, Hao
  • Zhao, Wenjun

Abstract

This paper numerically studied dust deposition behaviors and their influences on an isolated ground-mounted solar PV system. The shear stress transport k-ω turbulence model with user-defined function inlet profiles was established to predict turbulent air flow around solar PV system. Moreover, discrete particle model was employed to predict dust deposition rates on PV panel. After grid independent study and numerical validation with related experimental data, turbulent wind flow fields around solar PV system, dust deposition rates on PV panel with different dust diameters and wind velocities as well as their influences on the output efficiency for different types of PV modules were predicted and analyzed carefully. The results showed that dust deposition rate on PV panel first increases and then decreases when dust diameter increases. However, the dust deposition profiles are similar for different wind velocities. The highest deposition rate is 13.71% for 100 μm particles when UHp = 1.3 m/s (UHp is wind velocity at solar PV panel height) while is 14.28% for 150 μm particles when UHp = 2.6 m/s. The effects of interception, gravitation and mass inertia are the main mechanisms for dust deposition. Furthermore, dust deposition effect on PV output efficiency was predicted by a simplified model based on present computational fluid dynamics simulation and experimental measurement.

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  • Lu, Hao & Zhao, Wenjun, 2019. "CFD prediction of dust pollution and impact on an isolated ground-mounted solar photovoltaic system," Renewable Energy, Elsevier, vol. 131(C), pages 829-840.
    • Handle: RePEc:eee:renene:v:131:y:2019:i:c:p:829-840
    DOI: 10.1016/j.renene.2018.07.112
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    Cited by:

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    6. Raillani, Benyounes & Salhi, Mourad & Chaatouf, Dounia & Bria, Abir & Amraqui, Samir & Mezrhab, Ahmed, 2023. "A new proposed method to mitigate the soiling rate of a photovoltaic array using first-row height," Applied Energy, Elsevier, vol. 331(C).
    7. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).
    8. Chiteka, Kudzanayi & Arora, Rajesh & Sridhara, S.N. & Enweremadu, C.C., 2021. "Influence of irradiance incidence angle and installation configuration on the deposition of dust and dust-shading of a photovoltaic array," Energy, Elsevier, vol. 216(C).
    9. Fan, Siyuan & Wang, Xiao & Cao, Shengxian & Wang, Yu & Zhang, Yanhui & Liu, Bingzheng, 2022. "A novel model to determine the relationship between dust concentration and energy conversion efficiency of photovoltaic (PV) panels," Energy, Elsevier, vol. 252(C).
    10. Raillani, Benyounes & Salhi, Mourad & Chaatouf, Dounia & Amraqui, Samir & Mezrhab, Ahmed, 2022. "Optimization of a porous wind barrier to reduce soiling and avoid shading losses of photovoltaic panels," Renewable Energy, Elsevier, vol. 189(C), pages 510-523.

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