sh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Marginalising household users in smart grids
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science. Linköping University, Sweden.ORCID iD: 0000-0002-3095-0790
Linköping University, Sweden.
2023 (English)In: Technology in society, ISSN 0160-791X, E-ISSN 1879-3274, Vol. 72, article id 102185Article in journal (Refereed) Published
Abstract [en]

Unless just and inclusive, transitions to low carbon-energy systems are unlikely to receive sufficient legitimacy and broad public support. While research on inequalities and injustices in energy transitions is growing, these issues remain less explored in the case of the digitalisation of the energy systems through smart grids and smart homes. This paper aims to synthetise our understandings of inequality, exclusion and vulnerability in energy transitions by systemically analysing different dimensions of marginalisation in the transition to a digitalised electricity infrastructure in Sweden. To synthetise understandings of marginalisation and exclusion, conceptualisations of these processes in different social science approaches to energy studies are reviewed. Moreover, an empirical analysis of interviews with a range of Swedish actors such as energy utilities, social housing developers or pensioner organisations is carried out and enriched by previous research on smart grid users. The empirical analysis demonstrates what specific forms that diverse categories of marginalisation, as already identified generally in different social science approaches to energy studies, may take in smart grids. We argue that marginalisation of household users in smart grids may take place along multiple dimensions, relating to matters of literacy, participation, infrastructure, and the economy. The analysis suggests that bundles of marginalisation aspects concerning household users in sustainable energy transitions should be recognised and addressed simultaneously. 

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 72, article id 102185
Keywords [en]
Exclusion, Marginalisation, Smart grid, Sweden, Vulnerable consumers, Automation, Behavioral research, Intelligent buildings, Empirical analysis, Energy studies, Energy transitions, Low-carbon energy systems, Marginalization, Public support, Vulnerable consumer, Smart power grids, alternative energy, household energy, infrastructure, social exclusion
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:sh:diva-50714DOI: 10.1016/j.techsoc.2022.102185ISI: 000918882600001Scopus ID: 2-s2.0-85145779697OAI: oai:DiVA.org:sh-50714DiVA, id: diva2:1729737
Funder
Swedish Energy Agency, 44341–1Available from: 2023-01-23 Created: 2023-01-23 Last updated: 2023-02-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Tarasova, Ekaterina

Search in DiVA

By author/editor
Tarasova, Ekaterina
By organisation
Environmental Science
In the same journal
Technology in society
Energy Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 52 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf