Consequence Analysis of Jet Fire Accidents Occurred in Salt Cavern Natural Gas Storage: Hazard Distance and its Influence Factors

Article Preview

Abstract:

Natural gas storages in salt caverns are receiving an increasingly important role in energy storage system of many countries. This study focuses on analyzing the consequence of jet fire associated with natural gas storages in salt caverns. A widely used software, ALOHA, was adopted as simulation tool. The reliability of ALOHA was validated by comparing the simulated results with the field data observed in real accidents and the values calculated by a simple model presented in a previous study. The China's first natural gas storage in salt cavern, Jintan natural gas storage, was selected for case study. The case study reveals that the hazard distance of jet fire decreased with the increase of pipeline length, as well as the decrease of pipeline diameter and operating pressure.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1008-1009)

Pages:

346-355

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S.G. Yang: Theoretical and numerical investigations into hazard of natural gas jet release from underground gas storage cavern in salt rock (Ph.D. PLA University of Science and Technology, China 2013) p.3.

Google Scholar

[2] L.H. Xie, H.L. Li, X.W. Zhao, H. Zhang: China Safety Science Journal, Vol. 19 (9) (2009), p.125. (In Chinese).

Google Scholar

[3] P. Bérest, B. Brouard: Oil & Gas Science and Technology, Vol. 58 (3) (2003), p.361.

Google Scholar

[4] F.W. Zhang: The failure mode and the safety analysis of the salt rock casing for the gas storage (MS. Shandong University, China 2012) p.4.

Google Scholar

[5] M. J. Stephens, K. Leewis, D. K. Moore: 2002 4th International Pipeline Conference (Calgary, Canada, September 29-October 3, 2002).

Google Scholar

[6] S. G Yang, Q. Fang, Y. D Zhang, H. Wu, L.J. Ma: Journal of Loss Prevention in the Process Industries, Vol. 26 (1) (2013), p.74.

Google Scholar

[7] S. G Yang, Q. Fang, Y. D Zhang, H. Wu, H.B. Xiang: Journal of Loss Prevention in the Process Industries, Vol. 26 (1) (2013), p.68.

Google Scholar

[8] D. Thoman, K. O'Kula, J. Laul, M. Davis, K. Knecht: Journal of Chemical Health and Safety, Vol. 13 (6) (2006), p.20.

Google Scholar

[9] Y. -D. Jo, B. J. Ahn: Journal of hazardous materials, Vol. 97(1) (2003), p.31.

Google Scholar

[10] D. Yuhua, G. Huilin, Z. Jing'en, F. Yaorong: Journal of Loss Prevention in the Process Industries Vol. 15(6) (2002), p.423.

DOI: 10.1016/s0950-4230(02)00041-4

Google Scholar

[11] G. Chamberlain: Chemical engineering research & design, Vol. 65(4) (1987), p.299.

Google Scholar

[12] J. Cook, Z. Bahrami, R. Whitehouse: Journal of loss prevention in the process industries Vol. 3(1) (1990), p.150.

Google Scholar

[13] F. P. Lees: Loss prevention in the process industries: hazard identification, assessment and control (Butterworth-Heinemann, Boston, 1996).

Google Scholar

[14] C. Pietersen: Journal of Hazardous Materials, Vol. 20 (1988), p.85.

Google Scholar

[15] D.M. Yu: Quantitative riskanalysis of flammable, explosive and poisonous dander in storage andtransport process (China Railway Publishing House, Beijing, 2000).

Google Scholar

[16] C. C. P. Safety: Guidelines for Consequence Analysis of Chemical Releases (Wiley, New York, 2010).

Google Scholar

[17] T. Y. Book: Methods for the calculation of the physical effects of the escape of dangerous material (TNO, Rijswijk, 1989).

Google Scholar

[18] H. R. Greenberg, J. J. Cramer: Risk assessment and risk management for the chemical process industry (Wiley, USA, 1991).

Google Scholar

[19] Y. -D. Jo, B. J. Ahn: Journal of Loss Prevention in the Process industries, Vol. 15 (3) (2002), p.179.

Google Scholar

[10] H.X. Fang, L. K. Zeng, H. Wang, X. S. Cheng, P. A. Liu: Industrial Furnace, Vol. 3 (2004), p.9.

Google Scholar

[21] Z. X. Xing, X. J. Wang: Advanced Materials Research, Vol. 396 (2012), p.66.

Google Scholar

[22] N. Pandya, N. Gabas, E. Marsden: Journal of Loss Prevention in the Process Industries, Vol. 25 (2012), p.20.

Google Scholar

[23] P. K. Chitumalla, D. Harris, B. Thuraisingham, L. Khan: Internet Computing, IEEE, Vol. 12 (1) (2008), p.38.

Google Scholar

[24] M. J. Gharabagh, H. Asilian, S. Mortasavi, A. Z. Mogaddam, E. Hajizadeh, A. Khavanin: Journal of Loss Prevention in the Process Industries, Vol. 22 (4) (2009), p.533.

DOI: 10.1016/j.jlp.2009.03.008

Google Scholar