Application of Fuzzy Logic Approach to Consequence Modeling in Process Industries
Markowski, A.
Siuta, D.
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How to Cite

Markowski A., Siuta D., 2013, Application of Fuzzy Logic Approach to Consequence Modeling in Process Industries, Chemical Engineering Transactions, 31, 157-162.
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Abstract

In this paper, a general framework for deal with uncertainties in each stage of consequence modeling is presented. In the first part of the framework, the sources of uncertainty are identified and confirmed by sensitivity analysis for the source term, dispersion, physical effects and consequence analysis. While the second part comprises an application of the fuzzy logic system to each step of the consequence modeling. The proposed procedure is verified by the case study for a liquefied natural gas (LNG) release on water. The results in terms of hazard zones are compared with calculations obtained using the Monte Carlo method and with experimental data. The fuzzy logic approach provides less uncertain and more precise results in comparison to the deterministic approach.
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