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Language: English

Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received October 26, 2015
Accepted May 17, 2016

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Study on risk assessment of chemical process based on an advanced layers of protection analysis method

ShuJiao Tong^† ZongZhi Wu¹ RuJun Wang YingQuan Duo

Key Laboratory of Major Hazard Control and Accident Emergency Technology, State Administration of Work Safety, China Academy of Safety Science and Technology, Beijing 100012, China ¹State Administration of Work Safety, Beijing 100713, China

tong_luna@163.com

Korean Journal of Chemical Engineering, August 2016, 33(8), 2291-2297(7), 10.1007/s11814-016-0141-3

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Abstract

This paper focuses on an advanced layers of protection analysis (LOPA) method to assess the risk of a chemical process. Based on the chemical accident statistics between 2001 and 2014 in China, an acceptable risk function was built for chemical processes to confirm the acceptable risk value for an accident scenario. The assessment index for an emergency system was developed to assess the protective function of emergency protection based on analytic hierarchy process (AHP), and the probability of failure on demand (PFD) of emergency protection was obtained by fuzzy comprehensive assessment method and fuzzy set theory. The proposed method was applied to a methanol distillation installation. The result showed that the protections, including emergency protection, were sufficient because the probability of mitigation protection (1×10-8) was less than the acceptable risk value (3.04×10-7). The advanced LOPA method was proven to be able to improve the integrity and accuracy of traditional LOPA.

Keywords

Layers of Protection Analysis Emergency Fuzzy Set Risk Assessment Chemical Process