RESEARCH ON WIND PRESSURE DISTRIBUTION OF LARGE-SCALE TRACKING PHOTOVOLTAIC POWER GENERATION ARRAY BASED ON SUPERCOMPUTING

Li Zhengnong; Hu Cunyun; Wu Honghua; Wang Shitao; Te Rigen; Luan Xuetao

doi:10.19912/j.0254-0096.tynxb.2022-0070

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (6) : 242-251. DOI: 10.19912/j.0254-0096.tynxb.2022-0070

RESEARCH ON WIND PRESSURE DISTRIBUTION OF LARGE-SCALE TRACKING PHOTOVOLTAIC POWER GENERATION ARRAY BASED ON SUPERCOMPUTING

Li Zhengnong^1,2, Hu Cunyun¹, Wu Honghua¹, Wang Shitao³, Te Rigen¹, Luan Xuetao¹

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Abstract

Firstly, the wind tunnel pressure test and CFD numerical simulation of the single heliostat with similar structure to the tracking photovoltaic module are carried out, and then the results obtained by the two methods are compared to verify the reliability of the CFD numerical method. Secondly, three tracking photovoltaic module models with different aspect ratios are established to study the influence of aspect ratio on the mean wind pressure distribution of single PV module at 0° wind angle. Finally, the photovoltaic array model of large-scale solar tracker is established, and five representative working conditions （incoming wind direction angle： 0°, 45°, 90°, 135°, 180°） are simulated to obtain the distribution law of mean wind pressure coefficient of photovoltaic modules at the representative position of photovoltaic module group under the condition of class B landform wind field. The results show that the wind pressure distribution of PV modules at different positions in the PV module group is different with the different incoming wind direction angle. The mean wind pressure on PV modules is the largest at 45° and 135° oblique wind angles, that is, 45° and 135° are the most unfavorable wind angles. The position around the photovoltaic module group is the most unfavorable stress position of the module group.

Key words

PV modules / supercomputer / mean wind pressure coefficient / most unfavorable wind angle / numerical simulation

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Li Zhengnong, Hu Cunyun, Wu Honghua, Wang Shitao, Te Rigen, Luan Xuetao. RESEARCH ON WIND PRESSURE DISTRIBUTION OF LARGE-SCALE TRACKING PHOTOVOLTAIC POWER GENERATION ARRAY BASED ON SUPERCOMPUTING[J]. Acta Energiae Solaris Sinica. 2023, 44(6): 242-251 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0070

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