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

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 econom...

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Main Authors: Saheli Sengupta, Aritra Ghosh, Tapas K. Mallick, Chandan Kumar Chanda, Hiranmay Saha, Indrajit Bose, Joydip Jana, Samarjit Sengupta
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/17/5305
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spelling doaj-9027efa3907a478aa6a140ca01e08e492021-09-09T13:42:51ZengMDPI AGEnergies1996-10732021-08-01145305530510.3390/en14175305Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed SoilingSaheli Sengupta0Aritra Ghosh1Tapas K. Mallick2Chandan Kumar Chanda3Hiranmay Saha4Indrajit Bose5Joydip Jana6Samarjit Sengupta7SAMGESS, IIEST Shibpur, Howrah 711103, IndiaCollege of Engineering, Mathematics and Physical Sciences, Renewable Energy, University of Exeter, Cornwall TR10 9FE, UKEnvironment and Sustainability Institute, University of Exeter, Penryn Campus, Penryn TR10 9FE, UKElectrical Engineering Department, IIEST Shibpur, Howrah 711103, IndiaSAMGESS, IIEST Shibpur, Howrah 711103, IndiaAgni Power and Electronics Pvt. Ltd., Kolkata 700107, IndiaSAMGESS, IIEST Shibpur, Howrah 711103, IndiaSAMGESS, IIEST Shibpur, Howrah 711103, IndiaSolar 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.https://www.mdpi.com/1996-1073/14/17/5305dust accumulationgeneration predictionPV powerreboundresuspensionsoiling loss
collection DOAJ
language English
format Article
sources DOAJ
author Saheli Sengupta
Aritra Ghosh
Tapas K. Mallick
Chandan Kumar Chanda
Hiranmay Saha
Indrajit Bose
Joydip Jana
Samarjit Sengupta
spellingShingle Saheli Sengupta
Aritra Ghosh
Tapas K. Mallick
Chandan Kumar Chanda
Hiranmay Saha
Indrajit Bose
Joydip Jana
Samarjit Sengupta
Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling
Energies
dust accumulation
generation prediction
PV power
rebound
resuspension
soiling loss
author_facet Saheli Sengupta
Aritra Ghosh
Tapas K. Mallick
Chandan Kumar Chanda
Hiranmay Saha
Indrajit Bose
Joydip Jana
Samarjit Sengupta
author_sort Saheli Sengupta
title Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling
title_short Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling
title_full Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling
title_fullStr Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling
title_full_unstemmed Model Based Generation Prediction of SPV Power Plant Due to Weather Stressed Soiling
title_sort model based generation prediction of spv power plant due to weather stressed soiling
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-08-01
description 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.
topic dust accumulation
generation prediction
PV power
rebound
resuspension
soiling loss
url https://www.mdpi.com/1996-1073/14/17/5305
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