Risk Analysis and Control Measure of Gas Power Generation Enterprise
International Journal of Science and Qualitative Analysis
Volume 3, Issue 2, March 2017, Pages: 15-22
Received: Sep. 21, 2017;
Accepted: Oct. 23, 2017;
Published: Nov. 10, 2017
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Wang Qi-quan, Department of Safety Engineering, China University of Labor Relations, Beijing, China
Yan Xiang-dou, Department of Safety Engineering, China University of Labor Relations, Beijing, China
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In order to study the accident risk of gas power plant, and through the nearly ten years of statistical analysis of gas power plant accident, failure to get the presence of risk factors of gas power plant. Use explanation structure model, structural analysis of the identified risks, through expert for each system within the relationship between the risk factors of comparison, identify the gas leakage at the risk and risk factors, step by step under the top building structural relationships. Secondly, using fuzzy analytic hierarchy process to evaluate the risk factors quantitatively, the gas system is the main risk. Finally, the risk of the gas leakage accident is evaluated. Based on the case of the Jing Feng gas power plant, the safety countermeasures are put forward to provide guidance for gas generation enterprises.
Gas Power Station, Accident Risk, ISM, FAHP, QRA
To cite this article
Risk Analysis and Control Measure of Gas Power Generation Enterprise, International Journal of Science and Qualitative Analysis.
Vol. 3, No. 2,
2017, pp. 15-22.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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Neil Michison, Georgios A. Papadakis. Safety management systems under Seveso II [J]: Implementation and assessment. Journal of Loss Prevention in the Process Industries. 1999, 12 (1): 43-51.
Sun Yasheng. The application of fuzzy network analysis in the risk assessment of offshore wind projects. [D]. Dalian: Dalian University of Technology, 2008: 2-3.
Lee C. Assessment H., Meliopoulos S., James A. P. Graphical Method for Safety of Winter Meeting Grounding Systems [A]. IEEE Power Engineering Society [C]. 2000: 2016--2021.
Demichela M, Piccinini N, Romano A. Risk analysis as a basis for safety management system [J]. Journal of Loss Prevention in Process Industries, 2004, 17 (3): 179-185.
Zhao Wei. Common risk and control investigation of gas power plant. [J]. Technology wind, 2016.09.: 179-180.
Li Keqin. Power production safety risk identification and application. [J]. Science BBS, 2016.04.081: 93.
Liu Ningning. Safety production alert and control research of power supply company in Harbin. [D]. Jilin University, 2012: 13-28.
Sun Hongxing. Research on risk analysis and control model of power generation enterprise. [D]. North China power university, 2014: 19-61.
Hu Xiang. Risk identification and control of applications in the operation of grid power dispatch. [D]. Sichuan University, 2006: 35-36.
Xie Chuansheng, Zhao Chenchen. Research on Gas Power Generation Risk Assessment Based on Fuzzy Neural Network. [J]. Science and Technology & Innovation, 2016.32: 2-3.
Li Zhan, Shao Hui, Su Yaochen. Risk- warning Technology of Natural Gas Power Generation Base on Information Diffusion Theory. [J]. Safety and Environmental Engineering, 2016.07.23 (4): 144-147.