Integration of Mathematical Modeling with HAZOP Study of a Polymerization Plant: Capabilities and Lacunae

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Major accidents hazards not only may lead to losses of life and properties, but also may cause irrecoverable damages to the environment. HAZard and OPerability (HAZOP) study is one of the most widely used and accepted techniques to assess the risk of process upset and search for the required safeguards. However, the method is a qualitative approach subjective to engineering judgement of the HAZOP team. In this paper integration of mathematical modeling with the HAZOP study, called quantitative dynamic HAZOP study, is investigated for a complex polystyrene polymerization process to provide quantitative analysis. This paper presents the role of quantitative dynamic HAZOP and its capabilities. It then identifies the shortcomings of this integration which needs to be addressed in order to achieve the full potential of this approach (i.e. specially for complex systems). Finally, some suggestions are provided to meet these challenges.

Details

OriginalspracheEnglisch
Titel2021 7th International Conference on Control, Instrumentation and Automation, ICCIA 2021
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
ISBN (elektronisch)978-1-6654-0350-4
ISBN (Print)978-1-6654-3001-2
PublikationsstatusVeröffentlicht - 23 Feb. 2021
Peer-Review-StatusJa

Konferenz

Titel7th International Conference on Control, Instrumentation and Automation
KurztitelICCIA 2021
Veranstaltungsnummer7
Dauer23 - 24 Februar 2021
StadtTabriz
LandIran

Externe IDs

ORCID /0000-0001-5165-4459/work/172571728

Schlagworte

Forschungsprofillinien der TU Dresden

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Dynamic HAZOP Study, Mathematical Modeling, Polystyrene Polymerization Plant