contributor author | Ohshima, Hiroyuki;Asayama, Tai;Furukawa, Tomohiro;Tanaka, Masaaki;Uchibori, Akihiro;Takata, Takashi;Seki, Akiyuki;Enuma, Yasuhiro | |
date accessioned | 2022-12-27T23:19:41Z | |
date available | 2022-12-27T23:19:41Z | |
date copyright | 6/15/2022 12:00:00 AM | |
date issued | 2022 | |
identifier issn | 2332-8983 | |
identifier other | ners_009_02_025001.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4288387 | |
description abstract | This 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | ARKADIA—For the Innovation of Advanced Nuclear Reactor Design | |
type | Journal Paper | |
journal volume | 9 | |
journal issue | 2 | |
journal title | Journal of Nuclear Engineering and Radiation Science | |
identifier doi | 10.1115/1.4054726 | |
journal fristpage | 25001 | |
journal lastpage | 25001_12 | |
page | 12 | |
tree | Journal of Nuclear Engineering and Radiation Science:;2022:;volume( 009 ):;issue: 002 | |
contenttype | Fulltext | |