[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5516/NET.2011.43.4.383

LINEAR PROGRAMMING OPTIMIZATION OF NUCLEAR ENERGY STRATEGY WITH SODIUM-COOLED FAST REACTORS

Lee, Je-Whan (Korea Advanced Institute of Science and Technology, Department of Nuclear & Quantum Engineering)
Jeong, Yong-Hoon (Korea Advanced Institute of Science and Technology, Department of Nuclear & Quantum Engineering)
Chang, Yoon-Il (Korea Advanced Institute of Science and Technology, Department of Nuclear & Quantum Engineering)
Chang, Soon-Heung (Korea Advanced Institute of Science and Technology, Department of Nuclear & Quantum Engineering)

Publication Information

Nuclear Engineering and Technology / v.43, no.4, 2011 , pp. 383-390 More about this Journal

Abstract

Nuclear power has become an essential part of electricity generation to meet the continuous growth of electricity demand. A Sodium-cooled Fast Reactor (SFR) was developed to extend uranium resource utilization under a growing nuclear energy scenario while concomitantly providing a nuclear waste management solution. Key questions in this scenario are when to introduce SFRs and how many reactors should be introduced. In this study, a methodology using Linear Programming is employed in order to quantify an optimized growth pattern of a nuclear energy system comprising light water reactors and SFRs. The optimization involves tradeoffs between SFR capital cost premiums and the total system U3O8 price premiums. Optimum nuclear growth patterns for several scenarios are presented, as well as sensitivity analyses of important input parameters.

Keywords

Linear Programming; System Optimization; Sodium-cooled Fast Reactor;

Citations & Related Records

Times Cited By Web Of Science : 1 (Related Records In Web of Science)
Times Cited By SCOPUS : 1

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