Monte Carlo Based Framework to Support HAZOP Study

Matej  Danko; Jerome Frutiger; Ľudovít  Jelemenský; Gürkan Sin

doi:10.1016/B978-0-444-63965-3.50374-3

Monte Carlo Based Framework to Support HAZOP Study

Matej Danko, Jerome Frutiger, Ľudovít Jelemenský, Gürkan Sin

Department of Chemical and Biochemical Engineering

Slovak University of Technology in Bratislava

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27)
Editors	Antonio Espuña, Moisès Graells, Luis Puigjaner
Volume	40
Publisher	Elsevier
Publication date	2017
Edition	1
Pages	2233-2238
ISBN (Print)	9780444639653
ISBN (Electronic)	9780444639707
DOIs	https://doi.org/10.1016/B978-0-444-63965-3.50374-3
Publication status	Published - 2017
Event	27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 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

Conference	27th European Symposium on Computer Aided Process Engineering
Number	27
Country/Territory	Spain
City	Barcelona
Period	01/10/2017 → 05/10/2017
Internet address	https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3

Keywords

Monte Carlo methods
Dynamic simulations
HAZOP study

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title = "Monte Carlo Based Framework to Support HAZOP Study",

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.",

keywords = "Monte Carlo methods, Dynamic simulations, HAZOP study",

author = "Matej Danko and Jerome Frutiger and {\v L}udov{\'i}t Jelemensk{\'y} and G{\"u}rkan Sin",

year = "2017",

doi = "10.1016/B978-0-444-63965-3.50374-3",

language = "English",

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pages = "2233--2238",

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booktitle = "Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27)",

publisher = "Elsevier",

address = "United Kingdom",

edition = "1",

note = "27th European Symposium on Computer Aided Process Engineering, ESCAPE 27 ; Conference date: 01-10-2017 Through 05-10-2017",

url = "https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3",

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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 edn, vol. 40, Elsevier, pp. 2233-2238, 27th European Symposium on Computer Aided Process Engineering, Barcelona, Spain, 01/10/2017. https://doi.org/10.1016/B978-0-444-63965-3.50374-3

Monte Carlo Based Framework to Support HAZOP Study. / Danko, Matej ; Frutiger, Jerome; Jelemenský, Ľudovít et al.
Proceedings of the 27th European Symposium on Computer Aided Process Engineering (ESCAPE 27). ed. / Antonio Espuña; Moisès Graells; Luis Puigjaner. Vol. 40 1. ed. Elsevier, 2017. p. 2233-2238.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Frutiger, Jerome

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AU - Sin, Gürkan

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AB - 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.

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KW - Dynamic simulations

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PB - Elsevier

T2 - 27th European Symposium on Computer Aided Process Engineering

Y2 - 1 October 2017 through 5 October 2017

ER -

Monte Carlo Based Framework to Support HAZOP Study

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Keywords

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