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Exploring Renewable Energy Futures through Household Energy Resilience
Chalmers University of Technology, Sweden.ORCID iD: 0000-0002-3163-7296
RISE Research Institutes of Sweden, Digital Systems, Prototyping Society.ORCID iD: 0000-0002-5108-3948
RISE Research Institutes of Sweden, Built Environment, Energy and Resources.ORCID iD: 0000-0002-3418-8385
Chalmers University of Technology, Sweden.
2022 (English)In: Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery , 2022, article id 333Conference paper, Published paper (Refereed)
Abstract [en]

A transition to renewable energy increases the risks of disruptions when electricity supply does not meet demand. HCI has explored how digital technologies can mitigate such problems in households through support for reducing or shifting electricity use. However, faster transitions may be possible if some disturbances can be acceptable and households are supported in adapting to them. In this paper, we present a study of 21 Swedish households and their experiences of and ideas on how to manage disruptions in electricity supply. We call this perspective household energy resilience and identify three strategies for resilience: (1) response diversity, i.e., diversity in ways of carrying out normally electricity-dependent practices, (2) creating opportunities to develop resilience, and (3) building community energy resilience. Furthermore, we suggest how HCI can support these strategies, both by providing tools to increase resilience and by carefully designing technology and services to be more resilient in themselves. 

Place, publisher, year, edition, pages
Association for Computing Machinery , 2022. article id 333
Keywords [en]
Energy futures, Energy resilience, Households, Renewable energy, Sustainable HCI, Digital technologies, Electricity supply, Energy, Energy future, Energy increase, Household, Household energy, Renewable energies
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:ri:diva-59331DOI: 10.1145/3491102.3517597Scopus ID: 2-s2.0-85130570740ISBN: 9781450391573 (electronic)OAI: oai:DiVA.org:ri-59331DiVA, id: diva2:1674864
Conference
2022 CHI Conference on Human Factors in Computing Systems, CHI 2022, 30 April 2022 through 5 May 2022
Note

  This research was funded by the Swedish Energy Agency, HSB Living Lab forskningsfond and J. Gust. Richert stiftelse.

Available from: 2022-06-22 Created: 2022-06-22 Last updated: 2025-09-23Bibliographically approved

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Hasselqvist, HannaRenström, SaraHåkansson, Maria

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