Numerical simulation of the dispersion of toxic pollutants from large tank fires

Argiropoulos, CD; Christolis, MN; Nivolianitou, Z; Markatos, NC

dc.contributor.author	Argiropoulos, CD	en
dc.contributor.author	Christolis, MN	en
dc.contributor.author	Nivolianitou, Z	en
dc.contributor.author	Markatos, NC	en
dc.date.accessioned	2014-03-01T02:51:46Z
dc.date.available	2014-03-01T02:51:46Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35636
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84858406029&partnerID=40&md5=9fd82a9b174237a76aeddad864a00a76	en
dc.subject	CFD	en
dc.subject	Field models	en
dc.subject	Pollutant dispersion	en
dc.subject	Smoke plume	en
dc.subject	Tank fire	en
dc.subject	Turbulence	en
dc.subject.other	CFD technique	en
dc.subject.other	Combustion products	en
dc.subject.other	Field model	en
dc.subject.other	Parametric analysis	en
dc.subject.other	Plume rise	en
dc.subject.other	Pollutant dispersions	en
dc.subject.other	Smoke plume	en
dc.subject.other	Toxic pollutants	en
dc.subject.other	Two-equation turbulence models	en
dc.subject.other	Wind speed	en
dc.subject.other	Worst case scenario	en
dc.subject.other	Atmospheric movements	en
dc.subject.other	Computational fluid dynamics	en
dc.subject.other	Computer simulation	en
dc.subject.other	Models	en
dc.subject.other	Sulfur dioxide	en
dc.subject.other	Tanks (containers)	en
dc.subject.other	Turbulence	en
dc.subject.other	Turbulence models	en
dc.subject.other	Wind effects	en
dc.subject.other	Fires	en
dc.title	Numerical simulation of the dispersion of toxic pollutants from large tank fires	en
heal.type	conferenceItem	en
heal.publicationDate	2008	en
heal.abstract	The main objectives of this study are to estimate the dispersion of combustion products (CO, SO2, Smoke) and the consequences to the environment from tank fires, as well as the height of the toxic plume (plume rise). Numerical simulations were performed with the use of CFD techniques. The F.V.M was employed in this study along with a modified two-equation turbulence model, R?G k∼ ε. Parametric analysis is performed for four scenarios, all for adiabatic atmosphere. The worst case scenario for the highest concentrations of CO, SO2 proved to be the one with a fire of 1 MW/m2 strength and wind speed of 11 m/s, and for Smoke a fire of 1.3 MW/m2 strength and wind speed of 11 m/s, while the highest plume rise appears to occur for the scenario with 1.3 MW/m2 and 8 m/s. © 2008 Civil-Comp Press.	en
heal.journalName	Proceedings of the 6th International Conference on Engineering Computational Technology	en