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dc.contributor.authorOhshima, Hiroyuki;Asayama, Tai;Furukawa, Tomohiro;Tanaka, Masaaki;Uchibori, Akihiro;Takata, Takashi;Seki, Akiyuki;Enuma, Yasuhiro
dc.date.accessioned2022-12-27T23:19:41Z
dc.date.available2022-12-27T23:19:41Z
dc.date.copyright6/15/2022 12:00:00 AM
dc.date.issued2022
dc.identifier.issn2332-8983
dc.identifier.otherners_009_02_025001.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288387
dc.description.abstractThis paper describes the outline and development plan for “Advanced Reactor Knowledge- and Artificial Intelligence (AI)-aided design integration approach through the whole plant lifecycle (ARKADIA),” which the Japan Atomic Energy Agency has begun developing to transform advanced nuclear reactor design to meet expectations of a safe, economic, and sustainable carbon-free energy source. ARKADIA will realize AI-aided integrated numerical analysis to offer the best possible solutions for any challenge that could arise in the design and operation of a nuclear plant, including optimization of safety equipment as well as structures, systems, and components. State-of-the-art numerical simulation technologies and a knowledge base that stores data and insights from past nuclear reactor development projects and R&D are integrated with AI. In the first phase of development, ARKADIA-design and ARKADIA-safety will be constructed individually, with the first target of a sodium-cooled reactor. In a subsequent phase, everything will be integrated into a single entity that is technology inclusive and applicable not only to advanced rectors with a variety of concepts, coolants, configurations, and output levels but also to existing light-water reactors.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleARKADIA—For the Innovation of Advanced Nuclear Reactor Design
dc.typeJournal Paper
dc.journal.volume9
dc.journal.issue2
dc.journal.titleJournal of Nuclear Engineering and Radiation Science
dc.identifier.doi10.1115/1.4054726
dc.journal.fristpage25001
dc.journal.lastpage25001_12
dc.page12
dc.treeJournal of Nuclear Engineering and Radiation Science:;2022:;volume( 009 ):;issue: 002
dc.contenttypeFulltext


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