Abstract
Solar photovoltaic energy is the most widely used renewable energy. It consists of the direct conversion of electromagnetic radiation (solar or otherwise) into electricity. The efficiency of these solar collectors is strongly influenced by external parameters such as dust and bird droppings, as well as by climatic conditions such as temperature, wind speed, rain, ice and snow. In this chapter, the influence of dust on the performance of photovoltaic panels has been studied and an intelligent system based on the Internet of Things has been developed. The role of this system is to detect the dust deposited on the panel and to give instructions to the cleaning system to operate. the experimental study showed that thanks to the smart cleaning system we were able to gain 3.2% of production.
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Benchrifa, M., Tadili, R., Idrissi, A., et al.: Development of new models for the estimation of hourly components of solar radiation: tests, comparisons, and application for the generation of a solar database in Morocco. Int. J. Photoenergy 2021, 1–16 (2021)
Elouardi, M., Zair, T., Mabrouki, J., et al.: A review of botanical, biogeographical phytochemical and toxicological aspects of the toxic plants in Morocco. Toxicol. Anal. Clinique (2022)
Benchrifa, M., Essalhi, H., Tadili, R., et al.: Development of a daily databank of solar radiation components for Moroccan territory. Int. J. Photoenergy 2019 (2019)
Daoudi, M., Mou, A.A.S., Idrissi, A., et al.: New approach to prioritize wind farm sites by data envelopment analysis method: a case study. Ocean Eng. 271, 113820 (2023)
Benchrifa, M., Mabrouki, J.: Simulation, sizing, economic evaluation and environmental impact assessment of a photovoltaic power plant for the electrification of an establishment. Adv. Build. Energy Res. 16(6), 736–753 (2022)
Benchrifa, M., Mabrouki, J., Elouardi, M., et al.: Detailed study of dimensioning and simulating a grid-connected PV power station and analysis of its environmental and economic effect, case study. Model. Earth Syst. Environ., 1–9 (2022)
Elouardi, M., Fattah, G., Benchrifa, M., et al.: The evaluation of the valorization of cannabis residues for the production of energy by combustion. In: Advanced Technology for Smart Environment and Energy, pp. 247–256. Springer International Publishing, Cham (2023)
Fattah, G., Elouardi, M., Benchrifa, M., et al.: Modeling of the coagulation system for treatment of real water rejects. In: Advanced Technology for Smart Environment and Energy, pp. 161–171. Springer International Publishing, Cham (2023)
Mabrouki, J., Benchrifa, M., Ennouhi, M., et al.: Geographic information system for the study of water resources in Chaâba El Hamra, Mohammedia (Morocco). In: Artificial Intelligence and Smart Environment: ICAISE’2022, pp. 469–474. Springer International Publishing, Cham (2023)
Benchrifa, M., Azoulay, K., Bencheikh, I., et al.: Modelling and simulating the effect of irradiation variation on the behavior of a photovoltaic cell and its influence on the maximum power point. In: Advanced Technology for Smart Environment and Energy, pp. 105–116. Springer International Publishing, Cham (2023)
Benchrifa, M., Elouardi, M., Fattah, G., et al.: Identification, simulation and modeling of the main power losses of a photovoltaic installation and use of the internet of things to minimize system losses. In: Advanced Technology for Smart Environment and Energy, pp. 49–60. Springer International Publishing, Cham (2023)
Benchrifa, M., Mabrouki, J., Tadili, R.: Estimation of global irradiation on horizontal plane using artificial neural network. In: Artificial Intelligence and Smart Environment: ICAISE’2022, pp. 395–400. Springer International Publishing, Cham (2023)
Azoulay, K., Bencheikh, I., Benchrifa, M., et al.: Adsorption of inorganic and organic pollutants in urban wastewater treatment using pine wood activated carbon. In: Advanced Technology for Smart Environment and Energy, pp. 221–231. Springer International Publishing, Cham (2023)
Benchrifa, M., Essalhi, H., Tadili, R., et al. : Estimation of daily direct solar radiation for Rabat. In: Sustainable Energy Development and Innovation: Selected Papers from the World Renewable Energy Congress (WREC), pp. 629–634. Springer International Publishing, Cham (2022)
Mabrouki, J., Fattah, G., Al-Jadabi, N., Abrouki, Y., Dhiba, D., Azrour, M., Hajjaji, S.E.: Study, simulation and modulation of solar thermal domestic hot water production systems. Model. Earth Syst. Environ. 8(2), 2853–2862 (2022)
Mabrouki, J., Azoulay, K., Elfanssi, S., Bouhachlaf, L., Mousli, F., Azrour, M., Hajjaji, S.E.: Smart system for monitoring and controlling of agricultural production by the IoT. In: IoT and Smart Devices for Sustainable Environment, pp. 103–115. Springer, Cham (2022)
Mabrouki, J., Fattah, G., Kherraf, S., Abrouki, Y., Azrour, M., El Hajjaji, S.: Artificial intelligence system for intelligent monitoring and management of water treatment plants. In: Emerging Real-World Applications of Internet of Things, pp. 69–87. CRC Press (2022)
Anouzla, A., Idrissi, A.K., Hartal, O., et al. : Optimization of performance the waste in treatment of textile wastewater using response surface methodology. In: Advanced Technology for Smart Environment and Energy, pp. 139–149. Springer International Publishing, Cham (2023)
Ihoume, I., Tadili, R., Arbaoui, N., et al.: Artificial Intelligence in Agriculture (2022)
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Benchrifa, M., Mabrouki, J., Elouardi, M., Azrour, M. (2024). Studying the Effect of Integration Intelligent Dust Detection and Cleaning System on the Efficiency of Monocrystalline Photovoltaic Panels. In: Mabrouki, J., Mourade, A. (eds) Technical and Technological Solutions Towards a Sustainable Society and Circular Economy. World Sustainability Series. Springer, Cham. https://doi.org/10.1007/978-3-031-56292-1_12
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