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Solar Dust Detection System

机译:太阳能粉尘检测系统

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In this paper, the impact of soiling loss on the electrical performance of a solar panel and the estimation of the optimum cleaning time are studied. The study focuses on the improvement of energy output on cleaning the panel and the cost incurred in doing so, thereby not affecting the net Rs/unit value. The importance on the optimum cleaning time is established thereby maximizing the net returns possible. A practical setup is made where a study is carried out on Mono, Multi crystalline and CdTe panels where one panel was kept always clean and the counter part was subjected to natural dust accumulation. For a location with average of 5% soiling loss, the electrical comparison made between the cleaned and uncleaned panel. It is estimated that there is an average increase of more than 11 % in net power once the panel is cleaned. It is also estimated that for the same location, considering nominal man power and material costs, it is techno economically beneficial to clean the panels once in 8 days while using a company employee and once in 11 days on using a contract employee. With these findings, an automatic dust detection and cleaning mechanism is proposed where the optimum cleaning time algorithm is programmed.
机译:本文研究了污损对太阳能电池板电气性能的影响以及最佳清洁时间的估算。该研究的重点是改善清洁面板的能量输出和这样做的成本,从而不影响净Rs /单位值。确定了最佳清洁时间的重要性,从而使净收益最大化。在单层,多晶和CdTe面板上进行研究的情况下,进行了实用设置,其中一个面板始终保持清洁,并且对接部件受到自然灰尘的积聚。对于平均污染损失为5%的位置,在清洁和未清洁的面板之间进行电气比较。据估计,一旦清洁面板,净功率平均增加11%以上。还估计,对于同一个地点,考虑到标称的人工和材料成本,在使用公司员工时每8天清洁一次面板,在使用合同员工时每11天清洁一次面板在技术上经济上是有利的。基于这些发现,提出了一种自动灰尘检测和清洁机制,其中对最佳清洁时间算法进行了编程。

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