Advanced multi-perspective computer simulation as a tool for reliable consequence analysis

Sklavounos, S; Rigas, F

dc.contributor.author	Sklavounos, S	en
dc.contributor.author	Rigas, F	en
dc.date.accessioned	2014-03-01T02:07:36Z
dc.date.available	2014-03-01T02:07:36Z
dc.date.issued	2012	en
dc.identifier.issn	09575820	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29587
dc.subject	Cloud fire	en
dc.subject	Consequence analysis	en
dc.subject	Environmental impact	en
dc.subject	Explosion	en
dc.subject	Gas dispersion	en
dc.subject	Loss prevention	en
dc.subject.other	Accidental event	en
dc.subject.other	Complex geometries	en
dc.subject.other	Computational fluid dynamic (CFD)	en
dc.subject.other	Computational predictions	en
dc.subject.other	Consequence analysis	en
dc.subject.other	Dangerous substances	en
dc.subject.other	Emergency response planning	en
dc.subject.other	Empirical model	en
dc.subject.other	Experimental observation	en
dc.subject.other	Flammable cloud	en
dc.subject.other	Gas dispersion	en
dc.subject.other	Heavy gas	en
dc.subject.other	International regulations	en
dc.subject.other	Key factors	en
dc.subject.other	Land-use planning	en
dc.subject.other	Major accidents	en
dc.subject.other	Multi-perspective	en
dc.subject.other	Nonisothermal	en
dc.subject.other	Process industries	en
dc.subject.other	Quantitative result	en
dc.subject.other	Safety studies	en
dc.subject.other	Statistical performance	en
dc.subject.other	Accidents	en
dc.subject.other	Chemical analysis	en
dc.subject.other	Computational fluid dynamics	en
dc.subject.other	Environmental impact	en
dc.subject.other	Explosions	en
dc.subject.other	Isotherms	en
dc.subject.other	Loss prevention	en
dc.subject.other	Computer simulation	en
dc.title	Advanced multi-perspective computer simulation as a tool for reliable consequence analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.psep.2011.06.008	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.psep.2011.06.008	en
heal.publicationDate	2012	en
heal.abstract	Major accidents involving hazardous materials are a crucial issue for the chemical and process industries. Many accidental events taken place in the past showed that dangerous substances may pose a severe threat for people and property. Aiming at loss prevention, a series of actions have been instituted through international regulations concerning hazardous installations safety preparedness. These actions involve efficient land-use planning, safety studies execution, as well as emergency response planning drawing up. A key factor for the substantial consideration of the above is the effective prediction of possible accident forms and their consequences, for the estimation of which, a number of empirical models have been developed so far. However, (semi-)empirical models present certain deficiencies and obey to certain assumptions, thus leading to results of reduced accuracy. Another approach that could be used for this purpose and it is discussed in this work, is the utilization of advanced computational fluid dynamics (CFD) techniques in certain accident forms modeling. In particular, composite CFD-based models were developed for the simulation of several characteristic accident forms involving isothermal and non-isothermal heavy gas dispersion, confined and unconfined explosion in environment of complex geometry, as well as flammable cloud fire. The simulation cases were referred to real-scale trials allowing us to conclude about the validity of the quantitative results. Comparisons of the computational predictions with the experimental observations showed that obtained results were in good agreement with the experimental ones, whereas the evaluation of statistical performance measures proved the simulations to be statistically valid. © 2011 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.	en
heal.journalName	Process Safety and Environmental Protection	en
dc.identifier.doi	10.1016/j.psep.2011.06.008	en
dc.identifier.volume	90	en
dc.identifier.issue	2	en
dc.identifier.spage	129	en
dc.identifier.epage	140	en