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首页> 外文期刊>Photovoltaics, IEEE Journal of >Optimized Cleaning Cost and Schedule Based on Observed Soiling Conditions for Photovoltaic Plants in Central Saudi Arabia
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Optimized Cleaning Cost and Schedule Based on Observed Soiling Conditions for Photovoltaic Plants in Central Saudi Arabia

机译:根据观察到的污染状况,优化沙特阿拉伯中部光伏电站的清洁成本和进度

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摘要

For photovoltaic (PV) systems suffering energy loss due to an accumulation of soil, there is an optimum cleaning interval that balances the economic cost of lost revenues due to soiling loss with the cost of cleaning operations and, thereby, minimizes the total cost per unit energy delivered by the system and, thus, the levelized cost of electricity. This optimum interval may vary, depending on cleaning costs, as well as seasonal variations in soiling loss and energy production. In this work, a general expression has been derived for the optimal cleaning interval and then applied to losses actually observed over a one-year interval at a test site in central Saudi Arabia and fitted to a simple exponential loss model. The results show that costs attributable to cleaning to an optimum schedule are a small fraction of typical operation and maintenance costs even for completely manual cleaning, and even more so with machine-assisted cleaning.
机译:对于由于土壤积聚而遭受能量损失的光伏(PV)系统,存在一个最佳的清洁间隔,该间隔可以平衡因污损而造成的收入损失的经济成本与清洁操作的成本之间的平衡,从而使单位总成本最小化系统传递的能量,从而使电力成本平均化。该最佳间隔可能会有所不同,具体取决于清洁成本以及污染损失和能量产生的季节性变化。在这项工作中,已经得出了最佳清洗间隔的一般表达式,然后将其应用到在沙特阿拉伯中部一个测试站点在一年间隔内实际观察到的损失,并将其拟合为简单的指数损失模型。结果表明,归因于最佳计划的清洁成本即使在完全手动清洁的情况下,也仅占典型操作和维护成本的一小部分,而在机器辅助清洁下则更是如此。

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