Risk Assessment of Gas Leakage and Explosion in a Gas Station Leading to the Emergency Plan in a Power Plant, Suratthani

Main Article Content

Tadsraporn Chooprom
Thitima na Songkhla
Thanawan ฺBuacharoen

Abstract

This study is a survey research whose aim is to assess the gas leakage and explosion in the gas station be under the control of power plant including assessing the impact of the gas explosion leading to establishing an emergency plan by using a fault tree analysis and ALOHA software. The simulated leakage hole size of valve was 3 inches. The results revealed that the risk of leakage probability was 0.04 or 4% (Very low frequency) and the mean time to failure was 24 years per time. The causes of incident were 1) operational failure such as lack of equipment and truck inspection, 2) maintenance failure and such as inadequate methods or inspection programs 3) equipment failure such as vent valve and joint. The impact of the gas leakage and explosion assessment consists of 4 hazardous scenarios. Additionally, the scenario which has the longest hazard distance was BLEVE (Boiling Liquid Expanding Vapor Explosion). The radiation was 706 meters. In particular, the areas were affected as main transportation in power plant and dam, residences, resorts and hotels and the communities around the gas station. Therefore, the power plant needs to improve, to correct and to investigate the causes of the failures to reduce incidents that lead to such impacts on life, economies, communities and the environment as well as to prepare an emergency plan by considering the hazard zone to conduct an emergency drills and fire evacuation effectively.

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How to Cite
1.
Chooprom T, na Songkhla T, ฺBuacharoen T. Risk Assessment of Gas Leakage and Explosion in a Gas Station Leading to the Emergency Plan in a Power Plant, Suratthani. Health Sci J Thai [Internet]. 2020 Nov. 30 [cited 2024 Nov. 18];2(3):1-12. Available from: https://he02.tci-thaijo.org/index.php/HSJT/article/view/240503
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Original articles

References

Transport Statistics Sub-Division, Planning Division, Department of Land Transport. Number of Vehicle Registered in Thailand as of 29 February 2020. [Internet]. 2020 [Cited in 13 April, 2020]. Retrieved from: https://web.dlt.go.th/statistics/.

Energy Policy and Planning Office, Ministry of Energy. Petroleum Products 2015 to 2019. [Internet]. 2020 [Cited in 13 April, 2020]. Retrieved from: http://www.eppo.go.th/index.php/th/energy-information/static-energy/static-petroleum?orders[-publishUp]=publishUp&issearch=1.

Department of Disease Control, Ministry of Public Health. Surveillance Report on Chemical Situation in the Fiscal Year 2017. [Internet]. 2018 [Cited in 13 April, 2018]. Retrieved from: http://envocc.ddc.moph.go.th/uploads/situation/Chemical%20accident2560.pdf.

Daniel A. Crowl and Joseph F. Louvar. Chemical Process Safety. 2nd ed. Prentice Hall PTR. (2002). ISBN: 0-13-122858-7. USA.

OREDA: Offshore Reliability Data Handbook. (4th ed.) 2002.

National Oceanic and Atmospheric Administration, Office of Response and Restoration and U.S. Environmental Protection Agency Office of Emergency Management. ALOHA Example Scenarios September 2016. [Internet]. 2018 [Cited in 13 April, 2018]. Retrieved from: https://response.restoration.noaa.gov/sites/default/files/ALOHA_Examples.pdf.

Rajakarunakaran, S., Kumar, A. M., Prabhu, V. A. Applications of fuzzy faulty tree analysis and expert elicitation for evaluation of risks in LPG refuelling station. Journal of Loss Prevention in the Process Industries 2015; 33: 109-123.

Al-shanini, A., Ahmad, A., Khan, F. Accident modelling and safety measure design of a hydrogen station. International Journal of Hydrogen Energy 2014; 39: 20362 – 20370.

Hui, S., Guoning, D. Risk quantitative calculation and ALOHA simulation on the leakage accident of natural gas power plant. International Symposium on Safety Science and Technology, Proceeding Engineering 2012; 45: 352 – 359.

Tan, Q., Chen, G., Zhang, L., Fu, J., Li, Z. Dynamic accident modeling for high-sulfur natural gas gathering station. Process Safety and Environmental Protection 2014; 92: 565–576.

Wang, D., Lianga, P., Yua, Y., Fua, X., Hu, L. An integrated methodology for assessing accident probability of natural gas distribution station with data uncertainty. Journal of Loss Prevention in the Process Industries 2019; 62: 103941.

Bajcar, T., Cimerman, F., Sirok, B. Model for quantitative risk assessment on naturally ventilated metering-regulation stations for natural gas. Safety Science 2014; 64: 50–59.

Saosiri, W. Bangkok Study of Impact of Dispersion and Explosion of Liquefied Petroleum Gas from LPG Station by Using ALOHA Model. An exploratory study (Master degree). Thammasat University. 2016. (In Thai)

Suyasa, S., Jarungthammachote, S., Patvichaichod, S. Impact Assessment of Liquefied Petroleum Gas Leakage in Vehicle Parts Factory. The national conference 13rd, Kasetsart University, 8-9 December 2016. (In Thai)

Liang, Y., Pan, X., Zhang, C., Xie, B., Liu, S. The simulation and analysis of leakage and explosion at a renewable hydrogen refuelling station. International Journal of Hydrogen Energy 2019; 44(4023): 22608-22619.