半自动太阳能电池板清洁系统的性能分析

Samir Raj Bhandari, Aasish Chhetri, Anil Rai, Madan Rawal, Rabin Deub
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引用次数: 0

摘要

自 20 世纪 90 年代以来,太阳能一直是最有前途的能源之一。然而,由于模块上积聚的灰尘阻挡了太阳光的入射,太阳能电池板的效率降低了。太阳能电池板的效率取决于多种因素,如太阳能电池的质量、电池板的设计、阳光的温度和强度,以及是否存在任何遮挡物或障碍物。高效太阳能电池板可以利用相同的日照量产生更多的电能,从而提高能源产量,并在系统的整个生命周期内节约成本。这项研究采用了半自动清洁机制,这是太阳能光伏组件自动清洁系统的最新进展之一。本研究的目的是通过设计和实施半自动灰尘清洁机制来提高太阳能电池板的效率。研究发现,实验模型的效率提高了约 7%。研究结果与之前的研究结果一致,都强调了定期清洁太阳能电池板以提高其效率和可靠性的重要性。这项研究对提高太阳能系统的效率和可靠性具有重要意义。太阳能电池板所有者可以通过优化清洁过程和降低维护成本,提高系统的盈利能力和可持续性,从而更广泛地采用太阳能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of Semi-Automatic Solar Panel Cleaning System
Solar energy has been one of the most promising energy sources since the 1990s. However, the efficiency of solar panels is reduced due to dust accumulation over modules, which blocks the incident light from the sun. The efficiency of a solar panel depends on various factors, such as the quality of the solar cells, the design of the panel, the temperature and intensity of the sunlight, and the presence of any shading or obstructions. High-efficiency solar panels can produce more electricity from the same amount of sunlight, resulting in higher energy production and cost savings over the system’s lifetime. The study used a semi-automatic cleaning mechanism, which is one of the recent developments made on automated cleaning systems of solar photovoltaic modules. Aims of this study is to improve the efficiency of solar panels by designing and implementing a semi-automatic dust-cleaning mechanism. This study found that the experimental model shows improved efficiency by about 7 percent. The study’s findings are consistent with previous research that emphasizes the importance of regular cleaning of solar panels to improve their efficiency and reliability. This research has important implications for improving the efficiency and reliability of solar energy systems. Solar panel owners can improve the profitability and sustainability of their system, leading to more widespread adoption of solar energy by optimizing the cleaning process and reducing maintenance costs.
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