Contribution to the building of a weather information service for solar panel cleaning operations at Diass plant (Senegal, Western Sahel)

Author:

Aidara Mohamed Cherif1,Fam Pape Abdoulaye1,Danso Derrick Kwadwo23,Mortey Eric Mensah4,Mbaye Amy1,Ndiaye Mamadou Lamine1,Bonkaney Abdou Latif4,Adamou Rabani4,Anquetin Sandrine2,Diedhiou Arona23

Affiliation:

1. Laboratoire Eau-Énergie-Environnement – Procédés Industriels (LE3PI)/Ecole Supérieure Polytechnique , Dakar , Sénégal

2. Université Grenoble Alpes, IRD, CNRS, Grenoble INP, IGE , F-38000 Grenoble , France

3. LASMES – African Centre of Excellence on Climate Change, Biodiversity and Sustainable Development/Université Félix Houphouët Boigny , Abidjan , Côte d’Ivoire

4. WASCAL GRP on Climate Change and Energy, University Abdou Moumouny , Niamey , Niger

Abstract

Abstract The accumulation of dust on the surface of solar panels reduces the amount of sunlight reaching the solar cells and results in a decrease in panel performance. To avoid this loss of production and thus, to improve the performance capacity, solar panels must be cleaned frequently. The West African region is well known for its high solar energy potential. However, this potential can be reduced by the high occurrence of dust storms during the year. This article aims to provide a contribution to the construction of a meteorological information service for solar panel cleaning operations at Diass solar plant in Senegal (Western Sahel). It is based on a full year in situ experiment comparing the power loss due to dust between solar panels cleaned at different frequencies and those not cleaned. The model to determine the cleaning frequencies is based on the deposition rate of airborne particles, the concentration of airborne particles, and the density of the dust that has a major impact on the power loss. Cleaning frequencies are presented at seasonal scale because in the study area, dust episodes differ according to the seasons. A cost–benefit analysis is also performed to demonstrate the advantage of using weather information service to support the dust cleaning operations at Diass plant. As results, it is found that cleaning every 3 weeks is required during the dry seasons, December–January–February and March–April–May. During the rainy season, cleaning every 5 weeks is recommended in June–July–August, while in September–October–November cleaning every 4 weeks is sufficient to maintain an optimal performance of the solar panel. The total costs of cleaning operations based on these results are reduced compared to the current costs of cleaning and the benefits are much higher than without cleaning action.

Publisher

Walter de Gruyter GmbH

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

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