大型光伏太阳能发电厂的最佳清洁时间表框架及其财务影响:塞内加尔的案例研究

IF 1.9 Q3 PHYSICS, APPLIED EPJ Photovoltaics Pub Date : 2022-01-01 DOI:10.1051/epjpv/2022019
Mame Cheikh Diouf, Mactar Faye, Ababacar Thiam, V. Sambou
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引用次数: 0

摘要

安装在撒哈拉以南地区的大型光伏太阳能电站的性能受到光伏组件表面灰尘沉积的影响。经常清洗光伏组件增加了光伏太阳能发电厂的盈利能力。本研究的目的是确定PV太阳能发电厂在风沙和粉尘荷载下的最佳清洁周期。这项研究是在塞内加尔安装的光伏太阳能发电厂进行的。对测量数据进行了为期两年的分析,并用于提取污染率。优化是根据光伏太阳能发电厂的灰尘造成的总成本来完成的,以尽量减少清洁事件之间的天数。结果表明:6 ~ 5月土壤污染率为0.34%/d, 10月土壤污染率为0.33%/d;12月和2 ~ 3月的污染率最高,分别为0.42%/d和0.49%/d。光伏太阳能电站的最佳清洁周期为14天。采用所提出的最佳清洗周期,总清洗成本降低31%。
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A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in Senegal
The performance of large-scale PV solar plant installed in sub-Saharan regions is affected by the deposition of dust on the surface of the PV modules. Frequent cleaning of the PV modules increases the profitability of PV solar plants. The objective of this study is to determine the optimal cleaning cycle of a PV solar plant subjected to a wind loaded with sand and dust. This study took place in a PV solar plant installed in Senegal. The measurement data are analysed for a period of two years and used to extract soiling rate. Optimization was done based on the total cost caused by dust on the PV solar plant to minimize the number of days between cleaning events. The results showed that the soiling rate between June and May is 0.34%/day, while a rate of 0.33%/day was recorded in October. The highest soiling rates of 0.42%/day and 0.49%/day were recorded in December and between February and March, respectively. The optimal cleaning cycle for the PV solar plant is 14 days. The total cost of cleaning is reduced by 31% using this optimal cleaning cycle proposed.
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来源期刊
EPJ Photovoltaics
EPJ Photovoltaics PHYSICS, APPLIED-
CiteScore
2.30
自引率
4.00%
发文量
15
审稿时长
8 weeks
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