Experimental data and CFD performance for cloud dispersion analysis: The USP-UPC project |
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| Institution: | 1. Analysis, Evaluation and Risk Management Laboratory (LabRisco), Naval Architecture and Ocean Engineering Department, University of Sao Paulo, Av. Prof. Mello Moraes, 2231, 05538-030 Sao Paulo, Brazil;2. Centre for Technological Risk Studies (CERTEC), Department of Chemical Engineering, Universitat Politècnica de Catalunya, BarcelonaTech, Diagonal 647, 08028 Barcelona, Catalonia, Spain;1. Istituto di Ricerche sulla Combustione, CNR, Via Diocleziano 328, 80124 Napoli, Italy;2. AMRA – Center for the Analysis and Monitoring of Environmental Risk, Via Nuova Agnano 11, 80125 Napoli, Italy;1. Environmental Research Laboratory, National Center for Scientific Research Demokritos, Aghia Paraskevi, Athens 15310, Greece;2. HySAFER Centre, University of Ulster, Newtownabbey BT37 0QB, UK;3. European Commission, Joint Research Centre (JRC), Institute for Energy and Transport (IET), Energy Conversion and Storage Technologies Unit, Westerduinweg 3, 1755 LE Petten, Netherlands;4. C.E.A. Saclay, D.E.N., D.M.2S., S.T.M.F, Laboratoire d''Instrumentation et Expérimentation en mécanique des Fluides et Thermohydraulique, 91191 Gif sur Yvette Cedex, France;1. Department of Naval Architecture and Ocean Engineering, College of Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 151–744, South Korea;2. Research Institute of Marine Systems Engineering, Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul, South Korea |
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| Abstract: | 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 São Paulo and Universitat Politècnica 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 40 s of duration in a discharge area of 700 m2. 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® 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. |
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| Keywords: | Consequence analysis Propane Field tests Computational fluid dynamics FLACS software |
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