Synergistic integration of digital twins and sustainable industrial internet of things for new generation energy investments

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dc.contributor.authorKou, Gang
dc.contributor.authorDinçer, Hasan
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDeveci, Muhammet
dc.date.accessioned2025-12-08T13:10:50Z
dc.date.available2025-12-08T13:10:50Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümü
dc.description.abstractIntroduction: This study aims to identify optimal digital twin policies for enhancing renewable energy projects. Through a comprehensive analysis, the research evaluates the potential of digital twins in the renewable energy sector while considering triple bottom line perspectives. Objectives: The study's main goal is to prioritize digital twin policies that can effectively boost renewable energy projects. The research aims to demonstrate the practical application and reliability of a proposed evaluation model. Methods: Nine criteria, derived from literature review and triple bottom line viewpoints, are selected. Using the decision-making trial and evaluation laboratory (DEMATEL) methodology and Quantum picture fuzzy rough sets, criteria weights are determined. Quantum picture fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) evaluates sustainable industrial internet of things strategies in new-gen energy investments. VIsekriterijumska optimizcija i KOmpromisno Resenje (VIKOR) methodology enables a comparative assessment, and sensitivity analysis is conducted across nine cases. Results: Consistent outcomes across various methods validate the model's reliability. Ecosystem preservation carries the highest weight (0.1147), followed by resource policy optimization with digital twins (0.1139). Distributed energy resilience ranks first (RCi 0.576), closely followed by energy efficiency optimization (RCi 0.542). Conclusion: This study underscores ecosystem preservation and efficient resource policies as pivotal for successful digital twin deployment in renewable energy projects. The findings highlight digital twins' potential contribution to environmental protection and ecosystem sustainability, emphasizing resource efficiency through their effective use.
dc.identifier.citationKou, G., Dinçer, H., Yüksel, S. ve Deveci, M. (2024). Synergistic integration of digital twins and sustainable industrial internet of things for new generation energy investments. Journal of Advanced Research, 66, 39-46. http://dx.doi.org/10.1016/j.jare.2023.11.023
dc.identifier.doi10.1016/j.jare.2023.11.023
dc.identifier.endpage46
dc.identifier.issn2090-1232
dc.identifier.issn2090-1224
dc.identifier.pmid38008174
dc.identifier.scopus2-s2.0-85178575857
dc.identifier.scopusqualityQ1
dc.identifier.startpage39
dc.identifier.urihttp://dx.doi.org/10.1016/j.jare.2023.11.023
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13304
dc.identifier.volume66
dc.identifier.wosWOS:001374391600001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorDinçer, Hasan
dc.institutionauthorYüksel, Serhat
dc.institutionauthorid0000-0002-8072-031X
dc.institutionauthorid0000-0002-9858-1266
dc.language.isoen
dc.relation.ispartofJournal of Advanced Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDigital Twins
dc.subjectInvestment Decision
dc.subjectRenewables
dc.subjectPicture Fuzzy Rough Numbers
dc.subjectQuantum Mechanics
dc.subjectSustainable Industrial Internet of Things
dc.subjectTriple Bottom Line
dc.titleSynergistic integration of digital twins and sustainable industrial internet of things for new generation energy investments
dc.typeArticle

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