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
Link To Document