Simulation of Coyote series trials - Part I:: CFD estimation of non-isothermal LNG releases and comparison with box-model predictions

Sklavounos, S; Rigas, F

dc.contributor.author	Sklavounos, S	en
dc.contributor.author	Rigas, F	en
dc.date.accessioned	2014-03-01T01:25:09Z
dc.date.available	2014-03-01T01:25:09Z
dc.date.issued	2006	en
dc.identifier.issn	0009-2509	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17565
dc.subject	Box-models	en
dc.subject	CFX code	en
dc.subject	COYOTE trials	en
dc.subject	Cryogenic release	en
dc.subject	Heavy gas	en
dc.subject	Non-isothermal dispersion	en
dc.subject.classification	Engineering, Chemical	en
dc.subject.other	Boiling liquids	en
dc.subject.other	Computer simulation	en
dc.subject.other	Isotherms	en
dc.subject.other	Liquefied natural gas	en
dc.subject.other	Statistical process control	en
dc.subject.other	Box-models	en
dc.subject.other	CFX code	en
dc.subject.other	COYOTE trials	en
dc.subject.other	Cryogenic release	en
dc.subject.other	Heavy gas	en
dc.subject.other	Non-isothermal dispersion	en
dc.subject.other	Computational fluid dynamics	en
dc.subject.other	fluid dynamics	en
dc.title	Simulation of Coyote series trials - Part I:: CFD estimation of non-isothermal LNG releases and comparison with box-model predictions	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.ces.2005.08.042	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.ces.2005.08.042	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	This paper deals with the computational simulation of atmospheric cloud dispersion resulting from liquefied gas spills. Experimental data were taken from the Coyote series trials that involved large scale cryogenic natural gas releases. The data were used for checking the validity of the results obtained through the computational fluid dynamics code CFX. Moreover, using the experimental data-set of the non-isothermal gas dispersion, a comparative evaluation was performed between the code and two popular box-models (SLAB and DEGADIS) on the basis of specific statistical performance measures. The results showed that CFX approximated gas concentration histories with a reasonably good agreement and predicted correctly the behavior of gas cloud during dispersion. In particular, it predicted that the cryogenic dense cloud produced by the flash boiling would disperse as a heavy rather than a light gas, although the natural gas is lighter than air at normal conditions. On the other hand, the statistical treatment revealed that box-models may also give acceptable results even for the complex case of non-isothermal gas dispersion. Nevertheless, the CFX code unambiguously demonstrated considerably better accuracy. (c) 2005 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Chemical Engineering Science	en
dc.identifier.doi	10.1016/j.ces.2005.08.042	en
dc.identifier.isi	ISI:000235324600009	en
dc.identifier.volume	61	en
dc.identifier.issue	5	en
dc.identifier.spage	1434	en
dc.identifier.epage	1443	en