Extreme events, energy security and equality through micro- and macro-levels: Concepts, challenges and methods

Chien-fei Chen, Thomas Dietz, Nina Fefferman, Jamie Greig, Kristen Cetin, Caitlin Robinson, Laura Arpan, Marcel Schweiker, Bing Dong, Wenbo Wu, Yue Li, Hongyu Zhou, Jianzhong Wu, Jin Wen, Joshua Fu, Tianzhen Hong, Da Yan, Hannah Nelson, Yimin Zhu, Xueping LiLe Xie, Rachel Fu

Research output: Contribution to journalArticle (Academic Journal)peer-review

19 Citations (Scopus)

Abstract

Low-income households face long-standing challenges of energy insecurity and inequality (EII). During extreme events (e.g., disasters and pandemics) these challenges are especially severe for vulnerable populations reliant on energy for health, education, and well-being. However, many EII studies rarely incorporate the micro- and macro-perspectives of resilience and reliability of energy and internet infrastructure and social-psychological factors. To remedy this gap, we first address the impacts of extreme events on EII among vulnerable populations. Second, we evaluate the driving factors of EII and how they change during disasters. Third, we situate these inequalities within broader energy systems and pinpoint the importance of equitable infrastructure systems by examining infrastructure reliability and resilience and the role of renewable technologies. Then, we consider the factors influencing energy consumption, such as energy practices, socio-psychological factors, and internet access. Finally, we propose interdisciplinary research methods to study these issues during extreme events and provide recommendations.
Original languageEnglish
Article number102401
JournalEnergy Research and Social Science
Volume85
Early online date7 Dec 2021
DOIs
Publication statusPublished - 1 Mar 2022

Bibliographical note

Funding Information:
C.-F. Chen, and H. Nelson are supported by the Engineering Research Center Program of the U.S. National Science Foundation (NSF) and the Department of Energy under NSF award EEC-1041877 and the CURENT Industry Partnership Program. J. Wu is supported by EPSRC funded MC2 project (EP/T021969/1) and Supergen Energy Networks Hub (EP/S00078X/1). M. Schweiker is supported by research grant (21055) from VILLUM FONDEN. C. Robinson is supported by a UKRI Future Leaders Fellowship grant (MR/V021672/1). B. Dong is suppored by the U.S. National Science Foundation under Award No. 1949372.

Publisher Copyright:
© 2021

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