Monte Carlo Based Framework to Support HAZOP Study

Matej Danko, Jerome Frutiger, Ľudovít Jelemenský, Gürkan Sin

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This study combines Monte Carlo based process simulation features with classical hazard identification techniques for consequences of deviations from normal operating conditions investigation and process safety examination. A Monte Carlo based method has been used to sample and evaluate different deviations in process parameters simultaneously, thereby bringing an improvement to the Hazard and Operability study (HAZOP), which normally considers only one at a time deviation in process parameters. Furthermore, Monte Carlo filtering was then used to identify operability and hazard issues including inefficient, uneconomical and unsafe conditions. Appropriate process modifications to mitigate deviations from normal operation ensuring process safety are also provided.
Original languageEnglish
Title of host publicationProceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27)
EditorsAntonio Espuña, Moisès Graells, Luis Puigjaner
Volume40
PublisherElsevier
Publication date2017
Edition1
Pages2233-2238
ISBN (Print)9780444639653
ISBN (Electronic)9780444639707
DOIs
Publication statusPublished - 2017
Event27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain
Duration: 1 Oct 20175 Oct 2017
Conference number: 27
https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Conference

Conference27th European Symposium on Computer Aided Process Engineering
Number27
CountrySpain
CityBarcelona
Period01/10/201705/10/2017
Internet address

Keywords

  • Monte Carlo methods
  • Dynamic simulations
  • HAZOP study

Cite this

Danko, M., Frutiger, J., Jelemenský, Ľ., & Sin, G. (2017). Monte Carlo Based Framework to Support HAZOP Study. In A. Espuña, M. Graells, & L. Puigjaner (Eds.), Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27) (1 ed., Vol. 40, pp. 2233-2238). Elsevier. https://doi.org/10.1016/B978-0-444-63965-3.50374-3