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http://dx.doi.org/10.20465/KIOTS.2020.6.1.001

Dynamical Nuclear Waste Assessment Using the Information Feedback Oriented Algorithm Applicable to the Internet of Things(IoT)  

Woo, Tae-Ho (Dept. of Mechanical and Control Engineering, The Cyber University of Korea)
Jang, Kyung-Bae (Dept. of Mechanical and Control Engineering, The Cyber University of Korea)
Publication Information
Journal of Internet of Things and Convergence / v.6, no.1, 2020 , pp. 1-8 More about this Journal
Abstract
Following the advanced fuel cycle initiative (AFCI) promotions in the United States, the analytic proposition for global fuel cycle initiative (GFCI) has been investigated using dynamical simulations. The political and economic aspects are considered simultaneously due to the particular characteristics of the nuclear materials. The spent nuclear fuels (SNFs) are treated as the reprocessing by the nuclear non-proliferation treaty (NPT) exemption nations and the NPT excluded nations. Otherwise, the pyroprocessing and repository can be done without NPT restriction. In addition, the international trade is considered as the economic aspect where the energy production is a key issue of the GFCI. The dynamical simulations have been done until 2050. The result of the International Trade shows the gradually increasing shape. Additionally, the Nuclear Power Plant Operation shows the increasing by stepwise shape.
Keywords
Nuclear Energy; Waste; Spent nuclear fuel (SNF); Pyroprocessing;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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