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COVID-19 and energy: Influence mechanisms and research methodologies
Considering the important role of energy in modern society, it is imperative to study the current situation and future development of energy under the influence of COVID-19. This paper identifies the current research hotspots, proposes future research directions accordingly, and summarizes the metho...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Institution of Chemical Engineers. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464270/ https://www.ncbi.nlm.nih.gov/pubmed/36118160 http://dx.doi.org/10.1016/j.spc.2021.05.010 |
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author | Zhang, Lingyue Li, Hui Lee, Wei-Jen Liao, Hua |
author_facet | Zhang, Lingyue Li, Hui Lee, Wei-Jen Liao, Hua |
author_sort | Zhang, Lingyue |
collection | PubMed |
description | Considering the important role of energy in modern society, it is imperative to study the current situation and future development of energy under the influence of COVID-19. This paper identifies the current research hotspots, proposes future research directions accordingly, and summarizes the methodologies via a bibliometric analysis. Five research hotspots include COVID-19 and the changes of energy consumption, COVID-19 and the fluctuation of the energy market, COVID-19 and the development of renewable energy, COVID-19 and climate impacts caused by energy consumption, and COVID-19 and the energy policy. According to the influence mechanism of COVID-19 on each hotspot, the pandemic has exerted short-term influencs on energy consumption, energy price, and air pollution. Meanwhile, the pandemic could have a far-reaching impact on the renewable energy sector, climate, and energy policy. In addition, the main methodologies are reviewed, revealing that regression analysis and scenario analysis are commonly used as the quantitative and qualitative methods, respectively. Moreover, given the nonlinear relations between the pandemic and energy, an artificial neural networks model is used to enhance the prediction efficiency of energy demand and price. Finally, policy implications for obtaining clean, low-carbon, safe, and efficient energy in the context of COVID-19 are proposed. |
format | Online Article Text |
id | pubmed-9464270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Institution of Chemical Engineers. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94642702022-09-12 COVID-19 and energy: Influence mechanisms and research methodologies Zhang, Lingyue Li, Hui Lee, Wei-Jen Liao, Hua Sustain Prod Consum Article Considering the important role of energy in modern society, it is imperative to study the current situation and future development of energy under the influence of COVID-19. This paper identifies the current research hotspots, proposes future research directions accordingly, and summarizes the methodologies via a bibliometric analysis. Five research hotspots include COVID-19 and the changes of energy consumption, COVID-19 and the fluctuation of the energy market, COVID-19 and the development of renewable energy, COVID-19 and climate impacts caused by energy consumption, and COVID-19 and the energy policy. According to the influence mechanism of COVID-19 on each hotspot, the pandemic has exerted short-term influencs on energy consumption, energy price, and air pollution. Meanwhile, the pandemic could have a far-reaching impact on the renewable energy sector, climate, and energy policy. In addition, the main methodologies are reviewed, revealing that regression analysis and scenario analysis are commonly used as the quantitative and qualitative methods, respectively. Moreover, given the nonlinear relations between the pandemic and energy, an artificial neural networks model is used to enhance the prediction efficiency of energy demand and price. Finally, policy implications for obtaining clean, low-carbon, safe, and efficient energy in the context of COVID-19 are proposed. Institution of Chemical Engineers. Published by Elsevier B.V. 2021-07 2021-05-19 /pmc/articles/PMC9464270/ /pubmed/36118160 http://dx.doi.org/10.1016/j.spc.2021.05.010 Text en © 2021 Institution of Chemical Engineers. Published by Elsevier B.V. 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 Zhang, Lingyue Li, Hui Lee, Wei-Jen Liao, Hua COVID-19 and energy: Influence mechanisms and research methodologies |
title | COVID-19 and energy: Influence mechanisms and research methodologies |
title_full | COVID-19 and energy: Influence mechanisms and research methodologies |
title_fullStr | COVID-19 and energy: Influence mechanisms and research methodologies |
title_full_unstemmed | COVID-19 and energy: Influence mechanisms and research methodologies |
title_short | COVID-19 and energy: Influence mechanisms and research methodologies |
title_sort | covid-19 and energy: influence mechanisms and research methodologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464270/ https://www.ncbi.nlm.nih.gov/pubmed/36118160 http://dx.doi.org/10.1016/j.spc.2021.05.010 |
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