Dynamic safety risk analysis of water plant chlorination using dynamic bow-tie approach / Nor Aqilah Muhamad Nasir, Ir Mohd Azahar Mohd Ariff and Nooraina Abdul Razak

Muhamad Nasir, Nor Aqilah and Mohd Ariff, Mohd Azahar and Abdul Razak, Nooraina (2020) Dynamic safety risk analysis of water plant chlorination using dynamic bow-tie approach / Nor Aqilah Muhamad Nasir, Ir Mohd Azahar Mohd Ariff and Nooraina Abdul Razak. In: UNSPECIFIED.

Abstract

Chlorine is one of the hazardous materials and needs to be handled carefully. In water chlorination system at water treatment plant (WTP), there was potential hazard to the workers and the population nearby the water treatment plant. To identify this hazard, risk assessment is the one of the techniques that can be used to eliminate the hazard and measure the risk other than to identify the hazard. But due to the limitation of being static of conventional risk assessment, many researchers were study to update the conventional risk assessment to the dynamic risk assessment. This paper was aimed to update the conventional bow-tie analysis to the dynamic one by mapping bow-tie (BT) into bayesian network (BN) using Genie software. Posterior probability was used to replace the prior probability in this study to update the conventional to the dynamic. Three time interval was mapping into BN to show the dynamic failure updating by assuming lack of maintenance. To conduct this study, Kelar water treatment plant was chosen as the case study. Failure mode effect analysis (FMEA) was used to determine the potential hazard in the water chlorination system. Chlorine leakage from drum was chosen as the worst-case accident for this study of the top event to map the BT and BN. Besides that, ALOHA modeling software was also being used to determine the area concentration of chlorine emission nearby the population of Kelar WTP if there was a chlorine leakage. The worst cases of the accident was a leaking from 5 mm hole of body drum that would affected about 15 villages nearby the Kelar WTP. By implementing this approach, the accident can be prevented as well as eliminated.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Muhamad Nasir, Nor Aqilah
aqilah.nasir96@gmail.com
Mohd Ariff, Mohd Azahar
azahar.ariff@ppinang.uitm.edu.my
Abdul Razak, Nooraina
nooraina@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Nasuha, Norhaslinda
UNSPECIFIED
Chief Editor
Isa, Norain
UNSPECIFIED
Subjects: Q Science > QD Chemistry > Analytical chemistry > Quantitative analysis
Q Science > QD Chemistry > Analytical chemistry > Quantitative analysis > Electrochemical analysis
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus > Faculty of Chemical Engineering
Journal or Publication Title: 9th Virtual Science Invention Innovation Conference (SIIC) 2020
Page Range: pp. 182-184
Keywords: FMEA, Bow-Tie, Bayesian Network, ALOHA, Genie Software
Date: 2020
URI: https://ir.uitm.edu.my/id/eprint/81296
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