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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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 |
work_keys_str_mv |
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