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Chapter

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Title

Risk assessment in process industries using fuzzy logic approach

Authors

[ 1 ] Instytut Technologii i Inżynierii Chemicznej, Wydział Technologii Chemicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[7.6] Chemical sciences

Year of publication

2020

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

EN Process risk assessment is the most effective way to design safety and security safeguards in order to ensure the safety of people and the environment. The key issue is to estimate the frequency of occurrence and consequences as well as the risk of major accident scenarios with the lowest level of uncertainty. In order to deal with all knowledge-based uncertainties a new process risk assessment methodology based on fuzzy logic was proposed. The methodology utilized the fuzzy representative loss events selection model, the fuzzy bow-tie model and the fuzzy risk matrix. The case study for isobutane storage tank was used to illustrate the proposed methodology. Preliminary tests confirmed that final results of the risk index of accident scenarios were determined in a more precise and realistic manner and more appropriate selection of safety systems can be achieved.

Date of online publication

09.05.2020

Pages (from - to)

401 - 411

DOI

10.1007/978-3-030-39867-5_42

URL

https://link.springer.com/chapter/10.1007/978-3-030-39867-5_42

Book

Practical aspects of chemical engineering. Selected contributions from PAIC 2019

Presented on

2nd Seminar on Practical Aspects of Chemical Engineering, PAIC 2019, 16-17.09.2019, Zaniemyśl, Polska

Ministry points / chapter

20

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