Enhancing small modular reactor adoption for sustainable energy transition: a Fermatean fuzzy ISM-MICMAC framework for analyzing challenges

dc.contributor.authorErol, İsmail
dc.contributor.authorÖztel, Ahmet
dc.contributor.authorMedeni, Ihsan Tolga
dc.contributor.authorAr, İlker Murat
dc.date.accessioned2026-02-22T11:43:56Z
dc.date.created2026
dc.date.issued2026
dc.departmentBartın Üniversitesi
dc.description.abstractSmall modular reactors (SMRs) promise reduced upfront costs, faster construction, and enhanced safety compared to traditional reactors. However, widespread adoption is hindered by challenges such as high capital costs, regulatory delays, supply chain inefficiencies, cybersecurity risks, nuclear waste management, and public skepticism. Despite qualitative studies highlighting these barriers, quantitative analyses remain scarce, necessitating systematic frameworks to model interdependencies and guide solutions. The goal of this study is to scrutinize SMR adoption challenges using a novel multi-criteria decision-making (MCDM) approach. Drawing on a literature review from Web of Science, Scopus, and various reports from international institutions, 13 key challenges were identified. A panel of 58 experts-academics, government officials, and cybersecurity specialists-provided inputs via pairwise comparisons. The methodology used in this study integrates Fermatean Fuzzy Interpretive Structural Modeling (FFISM) with the cross-impact matrix multiplication applied to classification (MICMAC) analysis. Fermatean fuzzy sets extend traditional ISM by accommodating higher uncertainty in expert judgments through expanded membership/non-membership degrees. Validation involved 10,000 simulations comparing FFISM to conventional fuzzy ISM. Results reveal a six-level hierarchy: licensing/regulatory constraints and lack of proven technology/FOAK units as top challenges, influencing linkage challenges such as supply chain effectiveness, cybersecurity risks, and waste management. Dependent challenges include perceived investment risk, cost estimation, and public opinion. Policy recommendations include risk-informed licensing to cut timelines, blockchain for traceability addressing fuel availability, and public-private partnerships with green bonds to mitigate risks. This research provides actionable strategies for policymakers and stakeholders to accelerate SMR deployment, strengthening nuclear energy's role in global decarbonization.
dc.identifier.doi10.1016/j.nucengdes.2026.114805
dc.identifier.issn0029-5493
dc.identifier.issn1872-759X
dc.identifier.scopus2-s2.0-105029018659
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1016/j.nucengdes.2026.114805
dc.identifier.urihttps://hdl.handle.net/11772/26865
dc.identifier.volume450
dc.identifier.wosWOS:001682350700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Sa
dc.relation.ispartofNuclear Engineering and Design
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-07: Affordable and Clean Energy
dc.relation.sdgGoal-12: Responsible Consumption and Production
dc.relation.sdgGoal-17: Partnerships for the Goals
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260218
dc.subjectSmall modular reactors
dc.subjectNuclear energy deployment
dc.subjectFermatean fuzzy ISM-MICMAC
dc.subjectAdoption challenges
dc.subjectRegulatory harmonization
dc.subjectTechnology validation
dc.titleEnhancing small modular reactor adoption for sustainable energy transition: a Fermatean fuzzy ISM-MICMAC framework for analyzing challenges
dc.typeArticle
dspace.entity.typePublication

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