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Understand Stakeholder Perceptions and Implementation Possibilities for Energy Efficiency Measures and Policy Through Multicriteria Modelling
Swedish Institute of International Affairs, Stockholm, Sweden.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0003-0310-0018
Linköping University, Linköping, Sweden.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences. Aalto University, Espoo, Finland.ORCID iD: 0000-0003-1841-1310
Number of Authors: 42024 (English)In: Strengthening European Energy Policy / [ed] Ami Crowther; Chris Foulds; Rosie Robison; Ganna Gladkykh, Palgrave Macmillan , 2024, p. 131-143Chapter in book (Refereed)
Abstract [en]

To achieve the recommendation stated in the chapter title, we propose the following:

Stakeholders can be better engaged in energy efficiency decisions through the use of multicriteria models.

Decision-makers should present trade-offs, such as cost and emissions, and combinations of acceptable solutions to various stakeholders such as the public, housing associations, regulatory agencies, and financial institutions.

Decision-makers should adopt a user-centred approach to energy efficiency measures by encouraging stakeholder dialogues around decision-support tools (e.g. multicriteria modelling) to improve understanding of costs and benefits of measures.

Decision-makers should identify opportunities for consensus building and mindset shifts about the wider benefits of energy efficiency measures by emphasising their social considerations.

Using Social Sciences and Humanities (SSH) perspectives can strengthen Science, Technology, Engineering and Mathematics (STEM) led multicriteria models that visualise trade-offs as well as identify plausible conflicts among stakeholders.

Place, publisher, year, edition, pages
Palgrave Macmillan , 2024. p. 131-143
Keywords [en]
Energy efficiency, Stakeholder engagement, Multicriteria approach, Conflicting objectives, Compromise solutions
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-233981DOI: 10.1007/978-3-031-66481-6_10Scopus ID: 2-s2.0-105002554376ISBN: 978-3-031-66480-9 (print)ISBN: 978-3-031-66481-6 (electronic)OAI: oai:DiVA.org:su-233981DiVA, id: diva2:1902692
Available from: 2024-10-02 Created: 2024-10-02 Last updated: 2025-05-06Bibliographically approved

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Larsson, AronSiddiqui, Afzal

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