Exploring near-optimal energy systems with stakeholders: a novel approach for participatory modelling

[2501.05280] Exploring near-optimal energy systems with stakeholders: a novel approach for participatory modelling Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Computers and Society arXiv:2501.05280 (cs) [Submitted on 9 Jan 2025 ( v1 ), last revised 10 Apr 2026 (this version, v3)] Title: Exploring near-optimal energy systems with stakeholders: a novel approach for participatory modelling Authors: Oskar Vågerö , Koen van Greevenbroek , Aleksander Grochowicz , Maximilian Roithner View a PDF of the paper titled Exploring near-optimal energy systems with stakeholders: a novel approach for participatory modelling, by Oskar V{\aa}ger\"o and 2 other authors View PDF HTML (experimental) Abstract: Involving people in energy systems planning can increase the legitimacy and socio-political feasibility of energy transitions. Participatory research in energy modelling offers the opportunity to engage with stakeholders in a comprehensive way, but is limited by how results can be generated and presented without imposing assumptions and discrete scenarios on the participants. To this end, we present a methodology and a framework, based on near-optimal modelling results, that can incorporate stakeholders in a holistic and engaging way. We confront stakeholders with a continuum of modelling-based energy system designs via an interactive interface allowing them to choose essentially any combination of components that meet the system requirements. Together with information on the implications of different technologies, it is possible to assess how participants prioritise different aspects in energy systems planning while also facilitating learning in an engaging and stimulating way. We showcase the methodology for the remote Arctic settlement of Longyearbyen and illustrate how participants deviate consistently from the cost optimum. At the same time, they manage to balance different priorities such as emissions, costs, and system vulnerability leading to a better understanding of the complexity and intertwined nature of decisions. Comments: 24 pages, 6 figures and 5 tables Subjects: Computers and Society (cs.CY) ; Optimization and Control (math.OC); Physics and Society (physics.soc-ph) Cite as: arXiv:2501.05280 [cs.CY] (or arXiv:2501.05280v3 [cs.CY] for this version) https://doi.org/10.48550/arXiv.2501.05280 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1016/j.isci.2026.116718 Focus to learn more DOI(s) linking to related resources Submission history From: Oskar Vågerö [ view email ] [v1] Thu, 9 Jan 2025 14:43:29 UTC (2,625 KB) [v2] Thu, 13 Mar 2025 11:47:45 UTC (1,247 KB) [v3] Fri, 10 Apr 2026 18:34:03 UTC (1,330 KB) Full-text links: Access Paper: View a PDF of the paper titled Exploring near-optimal energy systems with stakeholders: a novel approach for participatory modelling, by Oskar V{\aa}ger\"o and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CY < prev | next > new | recent | 2025-01 Change to browse by: cs math math.OC physics physics.soc-ph References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... 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