Analysis of Dust Deposition on PV Arrays by CFD Simulation

Wu, Zuyu; Wei, Li; Kuka, Sokol; Alkahtani, Mohammed

doi:10.1109/iecon.2019.8926897

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…The preventive actions include array recombination and detection algorithm research. The studies [40][41][42][43][44][45][46][47][48][49][50] illustrate the reconfiguration of PV modules or PV arrays, and the studies introduce algorithm to detect the faulty PV modules.…”

Section: Solutions To Prevent Pv Fire Accidentsmentioning

confidence: 99%

“…As shown Figure 10, the spacing D between two PV panels should be large enough to avoiding shading effect, which is selected according to latitude, time angle, etc. The latitude angle (φ) of the winter solstice is (-23.45 °), and the time angle (ω) corresponding to 9:00 am is 45 ° [41][42]. In this case, not only the optimal photoelectric conversion efficiency can be guaranteed, but also the TKE value can be obtained to avoid the dust deposition.…”

Section: ) Construction Analysismentioning

confidence: 99%

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A Review for Solar Panel Fire Accident Prevention in Large-Scale PV Applications

Wen

et al. 2020

IEEE Access

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Due to the wide applications of solar photovoltaic (PV) technology, safe operation and maintenance of the installed solar panels become more critical as there are potential menaces such as hot spot effects and DC arcs, which may cause fire accidents to the solar panels. In order to minimize the risks of fire accidents in large scale applications of solar panels, this review focuses on the latest techniques for reducing hot spot effects and DC arcs. The risk mitigation solutions mainly focus on two aspects: structure reconfiguration and faulty diagnosis algorithm. The first is to reduce the hot spot effect by adjusting the space between two PV modules in a PV array or relocate some PV modules. The second is to detect the DC arc fault before it causes fire. There are three types of arc detection techniques, including physical analysis, neural network analysis, and wavelet detection analysis. Through these detection methods, the faulty PV cells can be found in a timely manner thereby reducing the risk of PV fire. Based on the review, some precautions to prevent solar panel related fire accidents in large-scale solar PV plants that are located adjacent to residential and commercial areas.

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Section: Solutions To Prevent Pv Fire Accidentsmentioning

confidence: 99%

Section: ) Construction Analysismentioning

confidence: 99%

A Review for Solar Panel Fire Accident Prevention in Large-Scale PV Applications

Wen

et al. 2020

IEEE Access

Self Cite

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“…It was reported that the PV modules in the first row of PV arrays were most affected by dust and the modules in the rear row were gradually less affected by dust. Zuyu Wu et al [24] used FLUENT software to build a 3D model of PV arrays and simulated the PV array's flow field, the PV panel's surface temperature and the density of dust particles on PV modules at different wind speeds. In another study [25], the effect of wind flu direction on PV arrays was investigated by the CFD method at a wind speed of 4.43~6.48 m/s and dust particle size of 10~100µm, taking Liverpool, the UK, as the research object.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Model Analysis of Dust on the PV Panels Surface in Low Latitude and High Altitude Plateau Area

Xiong¹,

Zhang²,

Hui

2022

J. Phys.: Conf. Ser.

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This work selected a PV power station located in the low latitude and high altitude plateau area of Sichuan, China, as the research object. The environment, climate, operation and maintenance status of the PV power station were investigated and the dust on PV panels was collected to measure its properties to analyse the source and composition of the dust. The results showed that the main component of the dust was SiO2 and the dust particles were relatively uniform in size and regular in shape but not uniform spherical particles. Meanwhile, EDEM-FLUENT simulation soft wares were employed to simulate the accumulation process of dust on the surface of PV panels at different wind speeds under the installation inclination of 25 degrees and 35 degrees, respectively. Furthermore, systematically analysing the force between the dust and PV panels, exploring the action modes of various forces and sorting out the dominant force were carried out for the establishment of a mechanical model for dust accumulation or dust removal. The force of dust in this PV power station mainly included gravity 10−9~10−8N, van der Waals force 10−9N, electrostatic force 10−9~10−11N and fluid force. Meanwhile, the larger particles almost accumulated in the front row of PV modules while the smaller particles can float farther with the wind. Finally, combined with the mechanical model of dust on the PV panel’s surface, dust’s adhesion process and accumulation mechanism were explained.

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Optimizing the cleaning frequency of solar photovoltaic (PV) systems using numerical analysis and empirical models

Kaiss,

Hassan

2024

Renewable Energy

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Analysis of Dust Deposition on PV Arrays by CFD Simulation

Cited by 5 publications

References 13 publications

A Review for Solar Panel Fire Accident Prevention in Large-Scale PV Applications

A Review for Solar Panel Fire Accident Prevention in Large-Scale PV Applications

Mechanical Model Analysis of Dust on the PV Panels Surface in Low Latitude and High Altitude Plateau Area

Optimizing the cleaning frequency of solar photovoltaic (PV) systems using numerical analysis and empirical models

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