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Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling

Author

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  • Saheli Sengupta

    (SAMGESS, IIEST Shibpur, Howrah 711103, India)

  • Aritra Ghosh

    (College of Engineering, Mathematics and Physical Sciences, Renewable Energy, University of Exeter, Cornwall TR10 9FE, UK)

  • Tapas K. Mallick

    (Environment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK)

  • Chandan Kumar Chanda

    (Electrical Engineering Department, IIEST Shibpur, Howrah 711103, India)

  • Hiranmay Saha

    (SAMGESS, IIEST Shibpur, Howrah 711103, India)

  • Indrajit Bose

    (Agni Power and Electronics Pvt. Ltd., Kolkata 700107, India)

  • Joydip Jana

    (SAMGESS, IIEST Shibpur, Howrah 711103, India)

  • Samarjit Sengupta

    (SAMGESS, IIEST Shibpur, Howrah 711103, India)

Abstract

Solar energy is going to be a major component of global energy generation. Loss due to dust deposition has raised a great concern to the investors in this field. Pre-estimation of this reduced generation and hence the economic loss will help the operators’ readiness for efficient and enhanced economic energy management of the system. In an earlier article, a physics–based model is proposed for assessment of dust accumulation under various climatic conditions which is validated by data of a single location. In this paper, the universality of this model is established and is used to demonstrate the effect of generation loss due to dust deposition and of cleaning. Variation in the soiling pattern due to climatic covariates has also been studied. Generation loss is calculated for Solar Photovoltaic power plants of different capacities at various locations in India. Finally this model has also been extended to predict the generation accounting for the soiling loss in Photovoltaic system. All the calculated and predicted results are validated with the measured values of the above plants.

Suggested Citation

  • Saheli Sengupta & Aritra Ghosh & Tapas K. Mallick & Chandan Kumar Chanda & Hiranmay Saha & Indrajit Bose & Joydip Jana & Samarjit Sengupta, 2021. "Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling," Energies, MDPI, vol. 14(17), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5305-:d:622805
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    References listed on IDEAS

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    1. Aritra Ghosh, 2020. "Soiling Losses: A Barrier for India’s Energy Security Dependency from Photovoltaic Power," Challenges, MDPI, vol. 11(1), pages 1-22, May.
    2. Adinoyi, Muhammed J. & Said, Syed A.M., 2013. "Effect of dust accumulation on the power outputs of solar photovoltaic modules," Renewable Energy, Elsevier, vol. 60(C), pages 633-636.
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    4. Ghosh, Aritra & Sundaram, Senthilarasu & Mallick, Tapas K., 2019. "Colour properties and glazing factors evaluation of multicrystalline based semi-transparent Photovoltaic-vacuum glazing for BIPV application," Renewable Energy, Elsevier, vol. 131(C), pages 730-736.
    5. Sarver, Travis & Al-Qaraghuli, Ali & Kazmerski, Lawrence L., 2013. "A comprehensive review of the impact of dust on the use of solar energy: History, investigations, results, literature, and mitigation approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 698-733.
    6. Said, S.A.M., 1990. "Effects of dust accumulation on performances of thermal and photovoltaic flat-plate collectors," Applied Energy, Elsevier, vol. 37(1), pages 73-84.
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    Cited by:

    1. Marta Redondo & Carlos A. Platero & Antonio Moset & Fernando Rodríguez & Vicente Donate, 2023. "Soiling Modelling in Large Grid-Connected PV Plants for Cleaning Optimization," Energies, MDPI, vol. 16(2), pages 1-13, January.
    2. Laura Essak & Aritra Ghosh, 2022. "Floating Photovoltaics: A Review," Clean Technol., MDPI, vol. 4(3), pages 1-18, August.

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