DocumentCode :
578228
Title :
Life cycle management support system of nuclear power plant based on economic analysis
Author :
Guo, Jiang ; Gu, Kai Kai ; Feng, Zhihui ; Zeng, Bing ; Bai, Weimin ; Liu, Yajin
Author_Institution :
Key Lab. of Transients in Hydraulic Machinery, Wuhan, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
4040
Lastpage :
4044
Abstract :
Nuclear power around the world has shifted to expand the lifetime of nuclear power plant as long as possible on the condition of safety and reliability instead of constructing new ones. In order to achieve the goal of life extension, the nuclear power plant all attach great importance to the life cycle management of critical equipment. LEA is a core of the life cycle management of critical equipment and 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, how to calculate the economic indicators involved in LEA is given. In ensuring the premise of reliability and safety, the model of economic analysis is proposed to the purpose of optimal cost. Finally, based on the model of economic analysis, building nuclear power plant equipment for life cycle management support system has been studied and the corresponding design and instances of system are given.
Keywords :
decision making; nuclear power stations; power generation economics; power generation reliability; power system management; safety; LEA; critical equipment; decision-making process; economic analysis; economic indicators; life cycle management support system; nuclear power plant; nuclear power plant equipment; plant reliability; plant safety; Analytical models; Economics; Educational institutions; Intelligent control; Power generation; Reliability; Safety; Life Cycle Management; Life Economic Analysis(LEA); life management support system; nuclear power plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359150
Filename :
6359150
Link To Document :
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