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A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH

Year 2021, Volume: 7 Issue: 3, 700 - 714, 01.03.2021
https://doi.org/10.18186/thermal.890150

Abstract

The influence of installation and environmental parameters on dust particle deposition behavior on solar photovoltaic collectors were investigated using Computational Fluid Dynamics (CFD) simulation. Parameters including tilt, height of installation, dust particle size and wind speed were investigated. Modeling of wind flow on the building and the photovoltaic array was achieved using the Shear Stress Transport k-ω turbulence model. The discrete phase model was adopted for dust motion prediction and a model was developed to assess the impact of dust accumulation on the performance of the photovoltaic array. The study revealed that rooftop installations have less dust deposition unlike the ground-mounted installations. The wind flow characteristics on rooftop installations are greatly affected by the building while on ground mounted installations wind flow is only influenced by the tilt of the solar photovoltaic collector. Different tilt angles, wind speeds and particle sizes had different deposition characteristics. The lower impact velocities experienced on ground mounted Photovoltaic (PV) arrays resulted in more deposition for smaller sized (10µm) dust particles compared to the larger sized (50µm and 150µm) particles. On rooftop installations, dust particle size of 150µm had the most deposition at a velocity of 5m/s and hence it resulted in a 22.61% reduction in solar photovoltaic efficiency while the least reduction in efficiency of 1.32% was recorded at 15m/s and 10µm size dust particles. The tilt angles of 0o and 22.5o had large sized turbulent eddies compared to the tilt of 45o. The study revealed that ground mounted photovoltaic arrays had more dust deposition compared to rooftop mounted photovoltaics.

References

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Year 2021, Volume: 7 Issue: 3, 700 - 714, 01.03.2021
https://doi.org/10.18186/thermal.890150

Abstract

References

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  • [11] A. M. Pavan, A. Mellit, D. De Pieri, and S. A. Kalogirou, “A comparison between BNN and regression polynomial methods for the evaluation of the effect of soiling in large scale photovoltaic plants,” Applied Energy, vol. 108, pp. 392–401, Aug. 2013, doi: 10.1016/j.apenergy.2013.03.023.
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  • [17] K. Chiteka, R. Arora, and V. Jain, “CFD Prediction of dust deposition and installation parametric optimisation for soiling mitigation in non-tracking solar PV modules,” International Journal of Ambient Energy, pp. 1–14, Mar. 2019, doi: 10.1080/01430750.2019.1594373.
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There are 59 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Rajesh Arora This is me 0000-0001-9234-4115

Kudzanayi Chıteka This is me 0000-0003-3697-5961

S. N. Sridhara This is me 0000-0002-4393-6314

Publication Date March 1, 2021
Submission Date February 28, 2019
Published in Issue Year 2021 Volume: 7 Issue: 3

Cite

APA Arora, R., Chıteka, K., & Sridhara, S. N. (2021). A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH. Journal of Thermal Engineering, 7(3), 700-714. https://doi.org/10.18186/thermal.890150
AMA Arora R, Chıteka K, Sridhara SN. A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH. Journal of Thermal Engineering. March 2021;7(3):700-714. doi:10.18186/thermal.890150
Chicago Arora, Rajesh, Kudzanayi Chıteka, and S. N. Sridhara. “A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH”. Journal of Thermal Engineering 7, no. 3 (March 2021): 700-714. https://doi.org/10.18186/thermal.890150.
EndNote Arora R, Chıteka K, Sridhara SN (March 1, 2021) A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH. Journal of Thermal Engineering 7 3 700–714.
IEEE R. Arora, K. Chıteka, and S. N. Sridhara, “A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH”, Journal of Thermal Engineering, vol. 7, no. 3, pp. 700–714, 2021, doi: 10.18186/thermal.890150.
ISNAD Arora, Rajesh et al. “A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH”. Journal of Thermal Engineering 7/3 (March 2021), 700-714. https://doi.org/10.18186/thermal.890150.
JAMA Arora R, Chıteka K, Sridhara SN. A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH. Journal of Thermal Engineering. 2021;7:700–714.
MLA Arora, Rajesh et al. “A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH”. Journal of Thermal Engineering, vol. 7, no. 3, 2021, pp. 700-14, doi:10.18186/thermal.890150.
Vancouver Arora R, Chıteka K, Sridhara SN. A METHOD TO PREDICT FOULING ON MULTI-STOREY BUILDING MOUNTED SOLAR PHOTOVOLTAIC PANELS: A COMPUTATIONAL FLUID DYNAMICS APPROACH. Journal of Thermal Engineering. 2021;7(3):700-14.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK http://eds.yildiz.edu.tr/journal-of-thermal-engineering