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A new semi-automated HAZID method for more comprehensive identification of hazardous scenarios

  • Sunhwa Park
  • , Amol Jayant Bansod
  • , Hans Pasman
  • , William Rogers
  • , M. Sam Mannan

Research output: Contribution to journalConference articlepeer-review

Abstract

Despite the substantial development of HAZID methods, traditional HAZID tools still need further development because of their weaknesses in identifying possible hazards. Despite many measures, still continual catastrophic events occur, even after reviewing potential scenarios with HAZID tools. Therefore, it is evident that unintended incidents that occasionally occur in the process industries, in order to prevent, require more enhanced HAZID tools. With this new HAZID methodology, this study seeks to identify possible scenarios with a semi-automated system approach. Based on the two traditional HAZID tools, Hazard Operability (HAZOP) Study and Failure Modes, Effects, and Criticality Analysis (FMECA), the new method will minimize the limitations of each method. Additionally, rather than depending on the HAZID tools to achieve the connectivity information of the process system, this study will consider obtaining in prepopulated sheets connection of linked components by means of new advanced technologies before applying HAZID tools. Next, this method can be integrated with proper guidelines regarding process safer design and hazard analysis. To examine its usefulness, the method will be applied to a case study.

Original languageEnglish
JournalInstitution of Chemical Engineers Symposium Series
Volume2017-May
Issue number162
StatePublished - 2017
Externally publishedYes
EventHazards 27 - Birmingham, United Kingdom
Duration: 10 May 201712 May 2017

Bibliographical note

Publisher Copyright:
© 2017 IChemE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Data mining
  • FMECA
  • HAZOP
  • SQL
  • Safeguards
  • Semi-automated hazid
  • Smartplant P&ID

ASJC Scopus subject areas

  • General Chemical Engineering

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