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A Multi-Objective Optimization of the Reactor Power Plant

[+] Author Affiliations
Chen Lei, Jia Zhen, Gong Zili, Liao Yi, Hu Chen

Wuhan 2nd Ship Design and Research Institute, Wuhan, China

Wang Cong

Naval University of Engineering, Wuhan, China

Paper No. ICONE26-82239, pp. V001T13A019; 5 pages
doi:10.1115/ICONE26-82239
From:
  • 2018 26th International Conference on Nuclear Engineering
  • Volume 1: Operations and Maintenance, Engineering, Modifications, Life Extension, Life Cycle, and Balance of Plant; Instrumentation and Control (I&C) and Influence of Human Factors; Innovative Nuclear Power Plant Design and SMRs
  • London, England, July 22–26, 2018
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 978-0-7918-5143-2
  • Copyright © 2018 by ASME

abstract

From the view of practical engineering application, a compacter nuclear power plant is expected. The weight and the volume of a nuclear power plant can be reduced by optimal selection of the operational parameters. In this work, a thermal-hydraulic model of the reactor, mathematical models of the reactor vessel, the main pipe, the pressurizer, the steam generator, the turbine and the condenser were established for the Qinshan-I nuclear power plant based on the related technical materials. The responses of the optimal targets to the changes of the design variables were studied by the sensitivity analyses. The non-dominated solution front of the nuclear power plant was obtained by means of the immune memory clone constrained multi-objective optimization algorithm. The study shows that the component mathematical models are reliable for the optimization process, the distribution of the non-dominated solution is decided by the steam generator secondary pressure. The volume and the weight of the system could be at least reduced by 23.0% and 9.5%, respectively.

Copyright © 2018 by ASME

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