Affiliation:
1. School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot 010051, China
Abstract
Photovoltaic power generation is one of the most effective measures to reduce greenhouse gas emissions, and the surface of photovoltaic modules in desert areas is mainly affected by sand erosion and cover, which affect power output. Therefore, a wind–sand erosion system was established to simulate the desert wind–sand environment, analyze the influence of dust erosion on the output power of the component, and observe the surface erosion morphology of the component. Then, dust particles of different sizes were selected to cover the surface of the photovoltaic module, and the temperature change and output characteristics of the backplane of the module were studied. The results show that the erosion rate increases with the increase in the erosion angle. When the erosion rate is 25 m/s and 30 m/s, the output power decreases by 9.82%~16.00% and 15.42%~24.46% at different erosion angles, respectively. As the particle size (0.05 mm~0.30 mm) deposited on the surface of the photovoltaic module gradually increases, the open-circuit voltage of the module changes little, and its maximum difference is 0.25 V. Short-circuit current and output power vary greatly; the maximum difference in short-circuit current is about 13.00%, and the maximum difference in output power is about 17.00%. Through our research, this study provides a certain reference for maximizing power generation efficiency and the clean planning of desert photovoltaic power stations.
Funder
the Science and Technology Department of Inner Mongolia Autonomous Region of China
Reference28 articles.
1. Ahmed, B., Necaibia, A., Mohammed, M., Ziane, A., Nordine, S., and Dabou, R. (2018, January 18–20). Degradation analysis of M-C-Si PV modules after long term exposure under desert climate. Proceedings of the 2018 Twentieth International Middle East Power Systems Conference (MEPCON), Cairo, Egypt.
2. Photovoltaic output power performance assessment and forecasting: Impact of meteorological variables;Ziane;Sol. Energy,2021
3. Tree-based ensemble methods for predicting the module temperature of a grid-tied photovoltaic system in the desert;Ziane;Int. J. Green Energy,2021
4. Zhao, M., Wang, N., Chang, C., Hu, X., Liu, Y., Liu, L., and Wang, J. (2023). Comparative Analysis of the Filling Mass of Vertical Heat Exchanger Tubes on the Thermal Environment of Arched Greenhouses. Energies, 16.
5. Numerical Simulation on Erosion of Wall by Particles in a 90° Bending Duct of Ventilation Pipeline;Zhang;Chin. J. Process Eng.,2016
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献