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...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | EPJ Photovoltaics |
| Subjects: | |
| Online Access: | https://www.epj-pv.org/articles/epjpv/full_html/2022/01/pv220022/pv220022.html |
| _version_ | 1798001751092101120 |
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| author | Diouf Mame Cheikh Faye Mactar Thiam Ababacar Sambou Vincent |
| author_facet | Diouf Mame Cheikh Faye Mactar Thiam Ababacar Sambou Vincent |
| author_sort | Diouf Mame Cheikh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T11:41:07Z |
| format | Article |
| id | doaj.art-5f6b0a8d3ca245a9a2f5dfa41b1e9a82 |
| institution | Directory Open Access Journal |
| issn | 2105-0716 |
| language | English |
| last_indexed | 2024-04-11T11:41:07Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Photovoltaics |
| spelling | doaj.art-5f6b0a8d3ca245a9a2f5dfa41b1e9a822022-12-22T04:25:50ZengEDP SciencesEPJ Photovoltaics2105-07162022-01-01132110.1051/epjpv/2022019pv220022A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in SenegalDiouf Mame Cheikh0Faye Mactar1Thiam Ababacar2Sambou Vincent3Energy Efficiency and Systems Research Team, Alioune Diop University of Bambey, BP 30 BambeyEnergy Efficiency and Systems Research Team, Alioune Diop University of Bambey, BP 30 BambeyEnergy Efficiency and Systems Research Team, Alioune Diop University of Bambey, BP 30 BambeyLaboratoire Eau, Energie, Environnement et Procédés Industriels (LE3PI), Université Cheikh Anta Diop de Dakar, Dakar-FannThe 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.https://www.epj-pv.org/articles/epjpv/full_html/2022/01/pv220022/pv220022.htmlphotovoltaicsoiling ratepv solar plantcleaning frequencycorrected performance ratio |
| spellingShingle | Diouf Mame Cheikh Faye Mactar Thiam Ababacar Sambou Vincent A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in Senegal EPJ Photovoltaics photovoltaic soiling rate pv solar plant cleaning frequency corrected performance ratio |
| title | A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in Senegal |
| title_full | A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in Senegal |
| title_fullStr | A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in Senegal |
| title_full_unstemmed | A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in Senegal |
| title_short | A framework of optimum cleaning schedule and its financial impact in a large-scale PV solar plant: a case study in Senegal |
| title_sort | framework of optimum cleaning schedule and its financial impact in a large scale pv solar plant a case study in senegal |
| topic | photovoltaic soiling rate pv solar plant cleaning frequency corrected performance ratio |
| url | https://www.epj-pv.org/articles/epjpv/full_html/2022/01/pv220022/pv220022.html |
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