Pinch analysis based approach to safety risk management in the process industries

Raymond R. Tan*, Mustafa Kamal Abdul Aziz, Denny K. S. Ng, Dominic Chwan Yee Foo, Hon Loong Lam

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Pinch Analysis is an established method for enhancing the sustainability of industrial processes via efficient use of various resources. It is based on the principle of target identification followed by subsequent system design aided by a problem decomposition strategy using the Pinch Point. This approach has recently been extended to a broad range of structurally analogous problems in various domains, such as financial management, carbon-constrained energy planning, etc. In this work, a novel graphical methodology for risk management in the process industries is proposed. In this approach, it is assumed that there a set of risk reduction measures is available, and that each measure is characterized by its implementation cost and the degree of risk criticality that it addresses. These data are then used to generate a Source Composite Curve. Targeting can then be achieved by shifting this curve relative to a pre-defined Sink Composite Curve, which represents the locus of the plant management's "willingness to pay", or budget relative to risk criticality. The methodology is then demonstrated on a case study based on the well-known Bhopal incident.

Original languageEnglish
Title of host publicationChemical Engineering Transactions
EditorsPetar Sabev Varbanov, Jiří Jaromír Klemeš, Sharifah Rafidah Wan Alwi, Jun Yow Yong, Xia Liu
PublisherItalian Association of Chemical Engineering
Pages133-138
Number of pages6
Volume45
ISBN (Electronic)9788895608365
DOIs
Publication statusPublished - 1 Oct 2015

ASJC Scopus subject areas

  • General Chemical Engineering

Fingerprint

Dive into the research topics of 'Pinch analysis based approach to safety risk management in the process industries'. Together they form a unique fingerprint.

Cite this