Community microgrids: A decision framework integrating social capital with business models for improved resiliency

Eklund, M; Khalilpour, K; Voinov, A; Hossain, MJ

Community microgrids: A decision framework integrating social capital with business models for improved resiliency

Eklund, M Khalilpour, K

Voinov, A Hossain, MJ

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Applied Energy, 2024, 367
Issue Date:: 2024-08-01

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Field	Value	Language
dc.contributor.author	Eklund, M
dc.contributor.author	Khalilpour, K https://orcid.org/0000-0003-4104-2488
dc.contributor.author	Voinov, A
dc.contributor.author	Hossain, MJ
dc.date.accessioned	2024-12-02T23:56:29Z
dc.date.available	2024-12-02T23:56:29Z
dc.date.issued	2024-08-01
dc.identifier.citation	Applied Energy, 2024, 367
dc.identifier.issn	0306-2619
dc.identifier.issn	1872-9118
dc.identifier.uri	http://hdl.handle.net/10453/182320
dc.description.abstract	This paper introduces a novel Multi-Criteria Decision Analysis (MCDA) framework for systematic evaluation and alignment of business models for community microgrids within local energy markets (LEMs). Our approach uniquely integrates social capital as a critical metric for assessing the success of these models. The framework's robustness is demonstrated through a case study application, showcasing its utility as a decision-support tool. This tool effectively bridges the gap between the operational and technical aspects of microgrids with the socio-economic context of the communities they serve. A key contribution is the establishment of a systematic categorisation of business models and LEMs facilitated by the MCDA framework. This approach emphasises the importance of analysing the synergy between business model components (ownership, revenue/pricing, activities, value proposition) and the corresponding market mechanisms, infrastructure, and ICT frameworks. The results demonstrate how the framework guides an informed and context-sensitive selection of business models, leveraging the interconnected socio-technical dynamics inherent to community energy systems.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation.ispartof	Applied Energy
dc.relation.isbasedon	10.1016/j.apenergy.2024.123458
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	09 Engineering, 14 Economics
dc.subject.classification	Energy
dc.subject.classification	33 Built environment and design
dc.subject.classification	38 Economics
dc.subject.classification	40 Engineering
dc.title	Community microgrids: A decision framework integrating social capital with business models for improved resiliency
dc.type	Journal Article
utslib.citation.volume	367
utslib.for	09 Engineering
utslib.for	14 Economics
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Visualisation Institute (VI)
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-12-02T23:56:28Z
pubs.publication-status	Published
pubs.volume	367

Abstract:

This paper introduces a novel Multi-Criteria Decision Analysis (MCDA) framework for systematic evaluation and alignment of business models for community microgrids within local energy markets (LEMs). Our approach uniquely integrates social capital as a critical metric for assessing the success of these models. The framework's robustness is demonstrated through a case study application, showcasing its utility as a decision-support tool. This tool effectively bridges the gap between the operational and technical aspects of microgrids with the socio-economic context of the communities they serve. A key contribution is the establishment of a systematic categorisation of business models and LEMs facilitated by the MCDA framework. This approach emphasises the importance of analysing the synergy between business model components (ownership, revenue/pricing, activities, value proposition) and the corresponding market mechanisms, infrastructure, and ICT frameworks. The results demonstrate how the framework guides an informed and context-sensitive selection of business models, leveraging the interconnected socio-technical dynamics inherent to community energy systems.

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http://hdl.handle.net/10453/182320