Analysis of LNG Storage Tank Safety: A Comprehensive Model Approach with ANP and Normal Cloud

Author:

Peng Shiyu,Zhou Dehong,Xie Bin

Abstract

Global energy shortages continue in the post-epidemic era. As clean primary energy, LNG plays an important role in the energy structure adjustment. However, with the widespread use of LNG, storage tank leaks occur frequently. In order to highlight the risk status of critical risk areas of LNG tank leakage, the “Five-high” risk system for the LNG industry, with high-risk locations, high-risk equipment, high-risk processes, high-risk personnel, and high-risk substances as first-level elements, was built. Combined with the Analytic Network Process (ANP) and normal cloud model for quantitative analysis, a safety risk analysis and assessment model for LNG storage tanks based on the ANP-normal cloud model was developed. Safety analysis was conducted with the example of an LNG storage tank area of a factory. The results show that the risk level for LNG tank leakage is level IV, with high-risk equipment being the first-level element with the highest weight and risk. The reliability of the comprehensive model was verified by AHP and fuzzy integrated analysis, and the results were basically consistent with the factory safety evaluation report. The study realizes the quantitative and visual analysis considering the correlation of risk elements and provides a new quantitative method for the safety analysis of LNG energy.

Funder

Hubei Emergency Management Department 2021 Special Funds for Production Safety Project

Ministry of Education Curriculum Ideological and Political Demonstration Project

The First Batch of University-Industry Cooperation Collaborative Education Project in 2018

2021 Hubei Provincial Teaching Research Project of Colleges and Universities

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference35 articles.

1. Development Status and Outlook of Nature Gas and LNG Industry in China;China Offshore Oil Gas.,2022

2. A Discussion on the Development of the LNG Industry Under the Dual Carbon Target;Shandong Chem. Ind.,2022

3. Li, H.Y., Zhang, J.Q., Chen, J.B., Chen, W.H., Zhao, Y., Lin, M.Z., Li, L., Zhang, X., and Dai, X.D. (Nat. Gas. Oil, 2022). Global energy transition faces challenges in 2021—Based on the bp Statistical Yearbook of World Energy (2022), Nat. Gas. Oil, in press.

4. (2022, November 20). BP p.l.c. BP Statistical Review of World Energy. Available online: https://www.bp.com/en/global/corporate/energy-economics/statistical-review-of-world-energy.html.

5. Liuhto, K. (2021). The Future of Energy Consumption, Security and Natural Gas, Palgrave Macmillan.

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