• DocumentCode
    690837
  • Title

    Research on life cycle management of nuclear power plant equipment based on economic analysis

  • Author

    Kai-kai Gu ; Jiang Guo ; Ming-shu Fan ; Ke-fei Zhang ; Lei Shi

  • Author_Institution
    Key Lab. of Transients in Hydraulic Machinery, Wuhan, China
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    418
  • Lastpage
    422
  • Abstract
    Instead of constructing new nuclear power plant, nuclear power has been shifted to expand the lifetime of nuclear power plant according to the condition of safety and reliability around the world. In order to achieve the goal of life extension, it is important for the nuclear power plants to focus on the life cycle management of critical equipment. LEA (Life Economic Analysis), the core work of life cycle management, is an analysis strategy to improve the usability of critical equipment and achieve the maximization of life value and long period of revenue through optimizing decision-making process of critical equipment. In this paper, a calculation method of the equipment failure rate based on the three-parameter Weibull distribution model is given. Ensuring the premise of reliability and safety, the economic analysis of the model is proposed to optimize the cost. Finally, based on the model of economic analysis, the paper takes an equipment of 60-year life cycle management as an example to verify the feasibility of the economic analysis model.
  • Keywords
    Weibull distribution; decision making; fission reactor safety; nuclear power stations; power apparatus; product life cycle management; LEA; decision-making process; life cycle management; life economic analysis; nuclear power plant equipment; three-parameter Weibull distribution model; Economics; Maintenance engineering; Monitoring; Power generation; Reliability; Safety; Weibull distribution; Life Economic Analysis (LEA); economic analysis model; failure rate; nuclear power plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/IEEM.2012.6837773
  • Filename
    6837773