Advancing Sustainability Assessment of Renewable Energy: A Study on Indicator‐to‐Framework Methods and Associated Rule Mining

Shoeib Faraji Abdolmaleki and Pastora M. Bello Bugallo

Sustainable Development, 2025, vol. 33, issue 3, 4393-4427

Abstract: Divergent sustainable development perspectives, mathematical model limitations, and varying scenarios contribute to uncertainty in assessing renewable energy sustainability. To tackle these challenges, this study conducts a comprehensive literature review, employs an analogy, and utilizes knowledge discovery techniques with an indicator‐to‐framework approach. Qualitative classification and rule mining elucidate the interrelationships among dimensions, indicators, and scopes, enhancing assessment coherence. The study identifies 227 indicators across five dimensions and nine scopes, highlighting key rules through Apriori algorithm. Strong rules, meeting a support threshold of 0.22, confidence of 0.7, and Lift of 2.512, underscore the significance of environmental, economic, social, and technological dimensions. Environmental indicators like CO2 emissions, NOX emissions, and SO2 emissions feature prominently. The harmonization of dimensions, indicators, and scopes streamlines research and mitigates ambiguities. Appendices augment rules with frequent indicators, enriching insights. This data‐driven methodology provides a practical solution to the complexities of selecting appropriate indicators for such assessments.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/sd.3331

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:sustdv:v:33:y:2025:i:3:p:4393-4427

Access Statistics for this article

Sustainable Development is currently edited by Richard Welford

More articles in Sustainable Development from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().