Optimizing energy consumption for blockchain adoption through renewable energy sources

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dc.authorscopusidArdavan Babaei / 57193898673
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidArdavan Babaei / JLG-3040-2023
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorBabaei, Ardavan
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorBoz, Esra
dc.date.accessioned2025-04-18T10:08:30Z
dc.date.available2025-04-18T10:08:30Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractThe adoption of blockchain technology across various industries and systems has garnered significant attention due to its myriad benefits, leading to widespread popularity today. However, the energy-intensive nature of blockchain, attributed to extensive computations and data mining, poses substantial operational and environmental challenges, hindering its widespread acceptance. To mitigate these limitations, leveraging renewable energy sources emerges as a viable and crucial solution. These options are assessed across various dimensions including sustainable energy transfer, physical attributes, legal regulations, energy supply costs, technological infrastructure, and climatic constraints. To achieve this, we present four optimization models. Initially, three optimization models, rooted in risk aversion, fairness, and weighted sum principles, are meticulously solved. Subsequently, leveraging the insights garnered from these models, a multi-objective optimization model is developed based on Percentage Multi-Choice Goal Programming (PMCGP) method. This framework facilitates the scoring and ranking of renewable energy sources, culminating in informed decision-making. Our investigation, anchored by a case study, underscores the significant potential of utilizing blockchain technology in conjunction with wind energy. In the initial step, our models grounded in risk, optimization, and fairness concepts establish targets for the subsequent stage. Consequently, the proposed methodology offers diverse analytical capabilities tailored for supply chain managers and decision-makers. © 2024 Elsevier Ltd
dc.identifier.citationBabaei, A., Tirkolaee, E. B., & Boz, E. (2025). Optimizing energy consumption for blockchain adoption through renewable energy sources. Renewable Energy, 238, 121936.
dc.identifier.doi10.1016/j.renene.2024.121936
dc.identifier.issn09601481
dc.identifier.scopus2-s2.0-85209681163
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.renene.2024.121936
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6957
dc.identifier.volume238
dc.indekslendigikaynakScopus
dc.institutionauthorBabaei, Ardavan
dc.institutionauthorTirkolaee, Erfan Babaee
dc.institutionauthoridArdavan Babaei / 0000-0002-3657-4853
dc.institutionauthoridErfan Babaee Tirkolaee / 0000-0003-1664-9210
dc.language.isoen
dc.publisherElsevier Ltd.
dc.relation.ispartofRenewable Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBlockchain Technology
dc.subjectDecision-Making
dc.subjectMulti-Objective Optimization
dc.subjectRenewable Energy Sources
dc.subjectSustainable Energy Transfer
dc.titleOptimizing energy consumption for blockchain adoption through renewable energy sources
dc.typeArticle

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