Risk Analysis and Control Measure of Gas Power Generation Enterprise

Wang Qi-quan; Yan Xiang-dou

doi:doi:10.11648/j.ijsqa.20170302.12

| Peer-Reviewed

Risk Analysis and Control Measure of Gas Power Generation Enterprise

Wang Qi-quan, Yan Xiang-dou

Published in International Journal of Science and Qualitative Analysis (Volume 3, Issue 2)

Received: 21 September 2017 Accepted: 23 October 2017 Published: 10 November 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

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.

Published in	International Journal of Science and Qualitative Analysis (Volume 3, Issue 2)
DOI	10.11648/j.ijsqa.20170302.12
Page(s)	15-22
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Gas Power Station, Accident Risk, ISM, FAHP, QRA

References

[1]	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.
[2]	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.
[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.
[4]	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.
[5]	Zhao Wei. Common risk and control investigation of gas power plant. [J]. Technology wind, 2016.09.: 179-180.
[6]	Li Keqin. Power production safety risk identification and application. [J]. Science BBS, 2016.04.081: 93.
[7]	Liu Ningning. Safety production alert and control research of power supply company in Harbin. [D]. Jilin University, 2012: 13-28.
[8]	Sun Hongxing. Research on risk analysis and control model of power generation enterprise. [D]. North China power university, 2014: 19-61.
[9]	Hu Xiang. Risk identification and control of applications in the operation of grid power dispatch. [D]. Sichuan University, 2006: 35-36.
[10]	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.
[11]	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.

Cite This Article

Plain Text BibTeX RIS

APA Style

Wang Qi-quan, Yan Xiang-dou. (2017). Risk Analysis and Control Measure of Gas Power Generation Enterprise. International Journal of Science and Qualitative Analysis, 3(2), 15-22. https://doi.org/10.11648/j.ijsqa.20170302.12

Copy | Download

ACS Style

Wang Qi-quan; Yan Xiang-dou. Risk Analysis and Control Measure of Gas Power Generation Enterprise. Int. J. Sci. Qual. Anal. 2017, 3(2), 15-22. doi: 10.11648/j.ijsqa.20170302.12

Copy | Download

AMA Style

Wang Qi-quan, Yan Xiang-dou. Risk Analysis and Control Measure of Gas Power Generation Enterprise. Int J Sci Qual Anal. 2017;3(2):15-22. doi: 10.11648/j.ijsqa.20170302.12

Copy | Download

@article{10.11648/j.ijsqa.20170302.12,
  author = {Wang Qi-quan and Yan Xiang-dou},
  title = {Risk Analysis and Control Measure of Gas Power Generation Enterprise},
  journal = {International Journal of Science and Qualitative Analysis},
  volume = {3},
  number = {2},
  pages = {15-22},
  doi = {10.11648/j.ijsqa.20170302.12},
  url = {https://doi.org/10.11648/j.ijsqa.20170302.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsqa.20170302.12},
  abstract = {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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Risk Analysis and Control Measure of Gas Power Generation Enterprise
AU  - Wang Qi-quan
AU  - Yan Xiang-dou
Y1  - 2017/11/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsqa.20170302.12
DO  - 10.11648/j.ijsqa.20170302.12
T2  - International Journal of Science and Qualitative Analysis
JF  - International Journal of Science and Qualitative Analysis
JO  - International Journal of Science and Qualitative Analysis
SP  - 15
EP  - 22
PB  - Science Publishing Group
SN  - 2469-8164
UR  - https://doi.org/10.11648/j.ijsqa.20170302.12
AB  - 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.
VL  - 3
IS  - 2
ER  -

Copy | Download

Author Information

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

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Wang Qi-quan, Yan Xiang-dou. (2017). Risk Analysis and Control Measure of Gas Power Generation Enterprise. International Journal of Science and Qualitative Analysis, 3(2), 15-22. https://doi.org/10.11648/j.ijsqa.20170302.12

Copy | Download

ACS Style

Wang Qi-quan; Yan Xiang-dou. Risk Analysis and Control Measure of Gas Power Generation Enterprise. Int. J. Sci. Qual. Anal. 2017, 3(2), 15-22. doi: 10.11648/j.ijsqa.20170302.12

Copy | Download

AMA Style

Wang Qi-quan, Yan Xiang-dou. Risk Analysis and Control Measure of Gas Power Generation Enterprise. Int J Sci Qual Anal. 2017;3(2):15-22. doi: 10.11648/j.ijsqa.20170302.12

Copy | Download

@article{10.11648/j.ijsqa.20170302.12,
  author = {Wang Qi-quan and Yan Xiang-dou},
  title = {Risk Analysis and Control Measure of Gas Power Generation Enterprise},
  journal = {International Journal of Science and Qualitative Analysis},
  volume = {3},
  number = {2},
  pages = {15-22},
  doi = {10.11648/j.ijsqa.20170302.12},
  url = {https://doi.org/10.11648/j.ijsqa.20170302.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsqa.20170302.12},
  abstract = {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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Risk Analysis and Control Measure of Gas Power Generation Enterprise
AU  - Wang Qi-quan
AU  - Yan Xiang-dou
Y1  - 2017/11/10
PY  - 2017
N1  - https://doi.org/10.11648/j.ijsqa.20170302.12
DO  - 10.11648/j.ijsqa.20170302.12
T2  - International Journal of Science and Qualitative Analysis
JF  - International Journal of Science and Qualitative Analysis
JO  - International Journal of Science and Qualitative Analysis
SP  - 15
EP  - 22
PB  - Science Publishing Group
SN  - 2469-8164
UR  - https://doi.org/10.11648/j.ijsqa.20170302.12
AB  - 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.
VL  - 3
IS  - 2
ER  -

Copy | Download