Experimental data and CFD performance for cloud dispersion analysis: The USP-UPC project

Autor(es)

Schleder, A. M. ^[1] ; Pastor, E. ^[2] ; Planas, E. ^[2] ; Martins, M. R. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Naval Architecture & Ocean Engn Dept, Anal Evaluat & Risk Management Lab LabRisco, BR-05538030 Sao Paulo - Brazil

^[2] Univ Politecn Cataluna, Dept Chem Engn, Ctr Technol Risk Studies CERTEC, BarcelonaTech, E-08028 Barcelona, Catalonia - Spain

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES; v. 38, p. 125-138, NOV 2015.
• Citações Web of Science: 3

Resumo

Forecasting the behaviour of a flammable or toxic cloud is a critical challenge in quantitative risk analysis. Recent literature shows that empirical and integral models are unable to model complex dispersion scenarios, like those occurring in semi-confined spaces or with the presence of physical barriers. Although CFD simulators are promising tools in this regard, they still need to be fully validated with comprehensive datasets coming from experimental campaigns designed ad-hoc. In this paper, we present an experimental campaign carried out by a joint venture between University of Sao Paulo and Universitat Politecnica de Catalunya to investigate CFD tools performance when used to analyse clouds dispersion. The experiments consisted on propane cloud dispersion field tests (unobstructed and with the presence of a fence obstructing the flow) of releases up to 0.5 kg s(-1) of 40s of duration in a discharge area of 700 m(2). We provide a full 1-s averaged propane concentration evolution dataset of two experiments, extracted from 29 points located at different positions within the cloud, with which we have tested FLACS (R) CFD-software performance. FLACS reproduces successfully the presence of complex geometry, showing realistic concentration decreases due to cloud dispersion obstruction by the existence of a fence. However, simulated clouds have not represented the whole complex accumulation dynamics due to wind variation. (C) 2015 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 13/18218-2 - Metodologia para análise quantitativa de consequência de vazamentos de substâncias inflamáveis e/ou tóxicas em ambientes com barreiras ou confinados
• Beneficiário: Marcelo Ramos Martins
• Modalidade de apoio: Auxílio à Pesquisa - Regular