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

Saheli Sengupta, Aritra Ghosh, Tapas K. Mallick, Chandan Kumar Chanda, Hiranmay Saha, Indrajit Bose, Joydip Jana and Samarjit Sengupta
Additional contact information
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

Energies, 2021, vol. 14, issue 17, 1-16

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.

Keywords: dust accumulation; generation prediction; PV power; rebound; resuspension; soiling loss (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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