IDEAS home Printed from https://ideas.repec.org/a/spr/envsyd/v44y2024i3d10.1007_s10669-024-09972-z.html
   My bibliography  Save this article

Financing electricity resilience in local communities: a review of the literature

Author

Listed:
  • Daniel Thompson

    (Institute for Risk and Disaster Reduction, University College London)

  • Gianluca Pescaroli

    (Institute for Risk and Disaster Reduction, University College London)

Abstract

Over the last two decades, research increasingly has paid attention to resilience as a way to strengthen electricity systems against the cascading impacts caused by electricity disruptions. Although much of the electricity resilience literature has focused on scale of large grids, a growing segment of research has focused on smaller-scale electricity systems, particularly with applications for communities. Research on financing these systems could encourage their uptake in local communities, particularly by including community in the ownership or operation of these systems; however, much of this research remains comparatively nascent. This paper seeks to review what previous studies have identified as some of the conditions that shape financing electricity resilience in local communities in G7 countries and how this field uses the term “electricity resilience” compared to broader uses of electricity resilience. The review provides a technical overview of smaller-scale systems for communities and a review of three socio-economic research areas—governance, cost-benefits, and business models—which shape financing electricity resilience in local communities. The discussion section finds that costs and the level of community involvement seem to play a fundamental role in shaping the conditions for financing electricity resilience across much of the research. Comparing this field to broader uses of “electricity resilience” suggests that more work is needed to understand the role of adaptation in financing electricity resilience for local communities, particularly over the long term. We posit that the field’s approach costs and its inclusion of the community in electricity resilience may contribute to its general lack of attention to long-run adaptation. Despite potential benefits of continued advancements from technical research, the maturity of the field and age of some of the early cases suggests that researchers could begin to study adaptation to electricity disruptions at the community level more than in the past.

Suggested Citation

  • Daniel Thompson & Gianluca Pescaroli, 2024. "Financing electricity resilience in local communities: a review of the literature," Environment Systems and Decisions, Springer, vol. 44(3), pages 740-762, September.
  • Handle: RePEc:spr:envsyd:v:44:y:2024:i:3:d:10.1007_s10669-024-09972-z
    DOI: 10.1007/s10669-024-09972-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10669-024-09972-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10669-024-09972-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Richard T. Boylan, 2016. "Power to the People: Does Ownership Type Influence Electricity Service?," Journal of Law and Economics, University of Chicago Press, vol. 59(2), pages 441-476.
    2. Norris, Michael & Oppenheim, Charles, 2007. "Comparing alternatives to the Web of Science for coverage of the social sciences’ literature," Journal of Informetrics, Elsevier, vol. 1(2), pages 161-169.
    3. Asano, Hiroshi, 2006. "Regulatory reform of the electricity industry in Japan: What is the next step of deregulation?," Energy Policy, Elsevier, vol. 34(16), pages 2491-2497, November.
    4. Quashie, Mike & Marnay, Chris & Bouffard, François & Joós, Géza, 2018. "Optimal planning of microgrid power and operating reserve capacity," Applied Energy, Elsevier, vol. 210(C), pages 1229-1236.
    5. Gianluca Pescaroli & David Alexander, 2016. "Critical infrastructure, panarchies and the vulnerability paths of cascading disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 175-192, May.
    6. Sunhee Baik & Alexander L. Davis & Jun Woo Park & Selin Sirinterlikci & M. Granger Morgan, 2020. "Estimating what US residential customers are willing to pay for resilience to large electricity outages of long duration," Nature Energy, Nature, vol. 5(3), pages 250-258, March.
    7. Michael Gusenbauer, 2019. "Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 177-214, January.
    8. Plotnek, Jordan J. & Slay, Jill, 2021. "Power systems resilience: Definition and taxonomy with a view towards metrics," International Journal of Critical Infrastructure Protection, Elsevier, vol. 33(C).
    9. Gianluca Pescaroli & David Alexander, 2018. "Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2245-2257, November.
    10. Umberto Di Matteo & Sofia Agostinelli, 2022. "Big Data Analysis for Optimising the Decision-Making Process in Sustainable Energy Action Plans: A Multi-Criteria Evaluation Approach Applied to Sicilian Regional Recovery and Resilience Plans," Energies, MDPI, vol. 15(20), pages 1-22, October.
    11. Ferguson, Ross & Wilkinson, William & Hill, Robert, 2000. "Electricity use and economic development," Energy Policy, Elsevier, vol. 28(13), pages 923-934, November.
    12. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    13. F.G. Reis, Inês & Gonçalves, Ivo & A.R. Lopes, Marta & Henggeler Antunes, Carlos, 2021. "Business models for energy communities: A review of key issues and trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    14. Petros Siritoglou & Giovanna Oriti & Douglas L. Van Bossuyt, 2021. "Distributed Energy-Resource Design Method to Improve Energy Security in Critical Facilities," Energies, MDPI, vol. 14(10), pages 1-20, May.
    15. Burch, Sarah, 2010. "In pursuit of resilient, low carbon communities: An examination of barriers to action in three Canadian cities," Energy Policy, Elsevier, vol. 38(12), pages 7575-7585, December.
    16. Erdinc, Ozan & Paterakis, Nikolaos G. & Pappi, Iliana N. & Bakirtzis, Anastasios G. & Catalão, João P.S., 2015. "A new perspective for sizing of distributed generation and energy storage for smart households under demand response," Applied Energy, Elsevier, vol. 143(C), pages 26-37.
    17. Dudka, Aurore & Moratal, Nuria & Bauwens, Thomas, 2023. "A typology of community-based energy citizenship: An analysis of the ownership structure and institutional logics of 164 energy communities in France," Energy Policy, Elsevier, vol. 178(C).
    18. Jingjing Kong & Slobodan P. Simonovic & Chao Zhang, 2019. "Sequential Hazards Resilience of Interdependent Infrastructure System: A Case Study of Greater Toronto Area Energy Infrastructure System," Risk Analysis, John Wiley & Sons, vol. 39(5), pages 1141-1168, May.
    19. Mallapragada, Dharik S. & Sepulveda, Nestor A. & Jenkins, Jesse D., 2020. "Long-run system value of battery energy storage in future grids with increasing wind and solar generation," Applied Energy, Elsevier, vol. 275(C).
    20. Chiara Candelise & Gianluca Ruggieri, 2020. "Status and Evolution of the Community Energy Sector in Italy," Energies, MDPI, vol. 13(8), pages 1-22, April.
    21. Wu, Di & Ma, Xu & Huang, Sen & Fu, Tao & Balducci, Patrick, 2020. "Stochastic optimal sizing of distributed energy resources for a cost-effective and resilient Microgrid," Energy, Elsevier, vol. 198(C).
    22. Thomas Hoppe & Antonia Graf & Beau Warbroek & Imke Lammers & Isabella Lepping, 2015. "Local Governments Supporting Local Energy Initiatives: Lessons from the Best Practices of Saerbeck (Germany) and Lochem (The Netherlands)," Sustainability, MDPI, vol. 7(2), pages 1-32, February.
    23. Fenrick, Steve A. & Getachew, Lullit, 2012. "Cost and reliability comparisons of underground and overhead power lines," Utilities Policy, Elsevier, vol. 20(1), pages 31-37.
    24. Arnob Das & Susmita Datta Peu & Md. Abdul Mannan Akanda & Abu Reza Md. Towfiqul Islam, 2023. "Peer-to-Peer Energy Trading Pricing Mechanisms: Towards a Comprehensive Analysis of Energy and Network Service Pricing (NSP) Mechanisms to Get Sustainable Enviro-Economical Energy Sector," Energies, MDPI, vol. 16(5), pages 1-27, February.
    25. Gatto, Andrea & Drago, Carlo, 2020. "Measuring and modeling energy resilience," Ecological Economics, Elsevier, vol. 172(C).
    26. Jufri, Fauzan Hanif & Widiputra, Victor & Jung, Jaesung, 2019. "State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies," Applied Energy, Elsevier, vol. 239(C), pages 1049-1065.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alessandro Sciullo & Gregory Winston Gilcrease & Mario Perugini & Dario Padovan & Barbara Curli & Jay Sterling Gregg & Osman Arrobbio & Erika Meynaerts & Sarah Delvaux & Lucia Polo-Alvarez & Chiara Ca, 2022. "Exploring Institutional and Socio-Economic Settings for the Development of Energy Communities in Europe," Energies, MDPI, vol. 15(4), pages 1-22, February.
    2. Yang, Dongfeng & Jiang, Chao & Cai, Guowei & Yang, Deyou & Liu, Xiaojun, 2020. "Interval method based optimal planning of multi-energy microgrid with uncertain renewable generation and demand," Applied Energy, Elsevier, vol. 277(C).
    3. Kuang, Biao & Shi, Yangming & Hu, Yuqing & Zeng, Zhaoyun & Chen, Jianli, 2024. "Household energy resilience in extreme weather events: An investigation of energy service importance, HVAC usage behaviors, and willingness to pay," Applied Energy, Elsevier, vol. 363(C).
    4. Michael Krug & Maria Rosaria Di Nucci & Matteo Caldera & Elena De Luca, 2022. "Mainstreaming Community Energy: Is the Renewable Energy Directive a Driver for Renewable Energy Communities in Germany and Italy?," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    5. Mehmet Efe Biresselioglu & Siyami Alp Limoncuoglu & Muhittin Hakan Demir & Johannes Reichl & Katrin Burgstaller & Alessandro Sciullo & Edoardo Ferrero, 2021. "Legal Provisions and Market Conditions for Energy Communities in Austria, Germany, Greece, Italy, Spain, and Turkey: A Comparative Assessment," Sustainability, MDPI, vol. 13(20), pages 1-25, October.
    6. Younesi, Abdollah & Shayeghi, Hossein & Wang, Zongjie & Siano, Pierluigi & Mehrizi-Sani, Ali & Safari, Amin, 2022. "Trends in modern power systems resilience: State-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    7. Azimian, Mahdi & Amir, Vahid & Javadi, Saeid, 2020. "Economic and Environmental Policy Analysis for Emission-Neutral Multi-Carrier Microgrid Deployment," Applied Energy, Elsevier, vol. 277(C).
    8. Judy P. Che-Castaldo & Rémi Cousin & Stefani Daryanto & Grace Deng & Mei-Ling E. Feng & Rajesh K. Gupta & Dezhi Hong & Ryan M. McGranaghan & Olukunle O. Owolabi & Tianyi Qu & Wei Ren & Toryn L. J. Sch, 2021. "Critical Risk Indicators (CRIs) for the electric power grid: a survey and discussion of interconnected effects," Environment Systems and Decisions, Springer, vol. 41(4), pages 594-615, December.
    9. Ziyi Wang & Zengqiao Chen & Cuiping Ma & Ronald Wennersten & Qie Sun, 2022. "Nationwide Evaluation of Urban Energy System Resilience in China Using a Comprehensive Index Method," Sustainability, MDPI, vol. 14(4), pages 1-36, February.
    10. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    11. Campos, Inês & Korsnes, Marius & Labanca, Nicola & Bertoldi, Paolo, 2024. "Can renewable energy prosumerism cater for sufficiency and inclusion?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    12. Tin Cheuk Leung & Kwok Ping Ping & Kevin K. Tsui, 2019. "What can deregulators deregulate? The case of electricity," Journal of Regulatory Economics, Springer, vol. 56(1), pages 1-32, August.
    13. Yu, Min Gyung & Pavlak, Gregory S., 2023. "Risk-aware sizing and transactive control of building portfolios with thermal energy storage," Applied Energy, Elsevier, vol. 332(C).
    14. Danielsson, Erna & Nyhlén, Jon & Olausson, Pär M., 2020. "Strategic planning for power shortages," Energy Policy, Elsevier, vol. 137(C).
    15. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    16. Tuba Bircan & Almila Alkim Akdag Salah, 2022. "A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    17. Beyer, Robert C.M. & Franco-Bedoya, Sebastian & Galdo, Virgilio, 2021. "Examining the economic impact of COVID-19 in India through daily electricity consumption and nighttime light intensity," World Development, Elsevier, vol. 140(C).
    18. Bartels, Lara & Kesternich, Martin, 2022. "Motivate the crowd or crowd- them out? The impact of local government spending on the voluntary provision of a green public good," ZEW Discussion Papers 22-040, ZEW - Leibniz Centre for European Economic Research.
    19. Yao He & Yongchun Yang & Meimei Wang & Xudong Zhang, 2022. "Resilience Analysis of Container Port Shipping Network Structure: The Case of China," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    20. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.

    More about this item

    Keywords

    Financing; Electricity resilience; Communities; G7;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envsyd:v:44:y:2024:i:3:d:10.1007_s10669-024-09972-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.