An improved layer of protection analysis based on a cloud model: Methodology and case study

被引：13

作者：

Yan, Fang ^{[1
]}

Xu, Kaili ^{[1
]}

Cui, Zhikai ^{[2
]}

Yao, Xiwen ^{[1
]}

机构：

[1] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Peoples R China

[2] Univ Calif San Diego, Jacobs Sch Engn, San Diego, CA 92093 USA

来源：

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES | 2017年 / 48卷

关键词：

Layer of protection analysis; Cloud model; Risk; Randomness; Fuzziness; Normal cloud; RISK-ASSESSMENT; ANALYSIS LOPA; SIL DETERMINATION; UNCERTAINTY; INDUSTRY; CHINA; AHP;

D O I：

10.1016/j.jlp.2017.04.006

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The LOPA is a semi-quantitative assessment method. If the assessment of risk is not precise, then a reasonable assessment may not be made. Human factors affect assessment results because expert judgments are involved in the LOPA assessment. This paper proposes an improved layer of protection analysis (LOPA) called the cloud model layer of protection analysis (CM-LOPA). A cloud model (CM) is used to improve the LOPA. Expert judged risk is processed by the CM, the quantified risk is presented as the cloud model risk (CMR), and the algorithm of the CMR is developed. A case study of gas leakage in a biomass gasification station is developed based on the CM-LOPA. A risk-matrix-based LOPA is introduced and compared with the proposed method. Assessment and comparison results show that the randomness and fuzziness of the CM make assessment results obtained by CM-LOPA more precise and reasonable. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：41 / 47

页数：7

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