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Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector

This paper aims to understand the responsiveness of the power sector during the lockdown due to the COVID-19 pandemic beginning from March 25, 2020 and analyses its impact on the demand, operation and supply of electricity in the Indian power system. The role of the C&I load share in reducing th...

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Autores principales: Bhattacharya, Subhadip, Banerjee, Rangan, Liebman, Ariel, Dargaville, Roger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550349/
http://dx.doi.org/10.1016/j.ijepes.2022.108097
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author Bhattacharya, Subhadip
Banerjee, Rangan
Liebman, Ariel
Dargaville, Roger
author_facet Bhattacharya, Subhadip
Banerjee, Rangan
Liebman, Ariel
Dargaville, Roger
author_sort Bhattacharya, Subhadip
collection PubMed
description This paper aims to understand the responsiveness of the power sector during the lockdown due to the COVID-19 pandemic beginning from March 25, 2020 and analyses its impact on the demand, operation and supply of electricity in the Indian power system. The role of the C&I load share in reducing the electricity demand of the different states in India has been examined using multi-sectoral regression analysis. The impact of the pan India lights-off event on the short-term operational flexibility response of the power system has also been analysed using high-temporal resolution data. The results indicate that there has been a reduction of nearly 70 TWh of electricity demand during the lockdown period, an 11 % reduction compared to 2019. The top three states recording the highest reduction were Maharashtra, Gujarat and Tamil Nadu at 11 TWh, 10.6 TWh and 8.4 TWh, respectively. Regression analysis revealed that out of the total drop in load demand — 73 % is owed to the industrial sector, while the remaining 27 % is to the commercial sector. This demand drop also impacted the upstream electricity supply mix where 96 % of the reduction in supply was borne by the coal generating units, recording its lowest national plant load factor at 35 % with a 16 % reduction in overall CO(2) emission compared to the same period in 2019. In conclusion, a case study of Maharashtra has been used to analyse the impact of this reduction in electricity demand on the supply mix, hourly load profile and cost of supply under the different lockdown phases.
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spelling pubmed-95503492022-10-11 Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector Bhattacharya, Subhadip Banerjee, Rangan Liebman, Ariel Dargaville, Roger International Journal of Electrical Power & Energy Systems Article This paper aims to understand the responsiveness of the power sector during the lockdown due to the COVID-19 pandemic beginning from March 25, 2020 and analyses its impact on the demand, operation and supply of electricity in the Indian power system. The role of the C&I load share in reducing the electricity demand of the different states in India has been examined using multi-sectoral regression analysis. The impact of the pan India lights-off event on the short-term operational flexibility response of the power system has also been analysed using high-temporal resolution data. The results indicate that there has been a reduction of nearly 70 TWh of electricity demand during the lockdown period, an 11 % reduction compared to 2019. The top three states recording the highest reduction were Maharashtra, Gujarat and Tamil Nadu at 11 TWh, 10.6 TWh and 8.4 TWh, respectively. Regression analysis revealed that out of the total drop in load demand — 73 % is owed to the industrial sector, while the remaining 27 % is to the commercial sector. This demand drop also impacted the upstream electricity supply mix where 96 % of the reduction in supply was borne by the coal generating units, recording its lowest national plant load factor at 35 % with a 16 % reduction in overall CO(2) emission compared to the same period in 2019. In conclusion, a case study of Maharashtra has been used to analyse the impact of this reduction in electricity demand on the supply mix, hourly load profile and cost of supply under the different lockdown phases. Elsevier Ltd. 2022-10 2022-03-18 /pmc/articles/PMC9550349/ http://dx.doi.org/10.1016/j.ijepes.2022.108097 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bhattacharya, Subhadip
Banerjee, Rangan
Liebman, Ariel
Dargaville, Roger
Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector
title Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector
title_full Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector
title_fullStr Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector
title_full_unstemmed Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector
title_short Analysing the impact of lockdown due to the COVID-19 pandemic on the Indian electricity sector
title_sort analysing the impact of lockdown due to the covid-19 pandemic on the indian electricity sector
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550349/
http://dx.doi.org/10.1016/j.ijepes.2022.108097
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