Validation of FLACS against experimental data sets from the model evaluation database for LNG vapor dispersion

Hansen, Olav R.; Gavelli, Filippo; Ichard, Mathieu; Davis, Scott

doi:10.1016/j.jlp.2010.08.005

Cited by 121 publications

(70 citation statements)

References 14 publications

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“…The validation between the real process and CFD simulation has been reported in the literature (Middha, Hansen et al 2009, Hansen et al 2010, Graham & Simon 2012. However in this study, it is not possible to compare simulation with real data, because we aim to mimic the actual weather conditions and potential release scenario in Singapore.…”

Section: Introductionmentioning

confidence: 91%

“…The governing equations include the conservation of mass and momentum, transport equations for enthalpy, fuel mass fraction, the mixture fraction, turbulent kinetic energy, and dissipation rate of turbulent kinetic energy, which are explained in details in the FLACS manual. The governing equations for mass and momentum are solved by using the unsteady Reynolds-averaged Navier-Stokes approach on a non-uniform Cartesian grid, closed using the standard model (Hansen, Gavelli et al 2010). The is an eddy viscosity model that solves two additional transport equations of turbulent kinetic energy and dissipation of turbulent kinetic energy.…”

Section: Cfd Simulation Using Flacsmentioning

confidence: 99%

“…FLACS uses the distributed porosity concept to handle sub-grid objects that are smaller than the grid cell size, making the dispersion simulation in complex geometries feasible (Hansen, Gavelli et al 2010). The scenario parameters define the chemical, boundary conditions, monitoring point locations, ignition position and ignition time, and so on.…”

Section: Cfd Simulation Using Flacsmentioning

confidence: 99%

See 2 more Smart Citations

Meta-modelling for fast analysis of CFD-simulated vapour cloud dispersion processes

Wang

Chen

Kwa

et al. 2014

Computers & Chemical Engineering

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Section: Introductionmentioning

confidence: 91%

Section: Cfd Simulation Using Flacsmentioning

confidence: 99%

Section: Cfd Simulation Using Flacsmentioning

confidence: 99%

See 1 more Smart Citation

Meta-modelling for fast analysis of CFD-simulated vapour cloud dispersion processes

Wang

Chen

Kwa

et al. 2014

Computers & Chemical Engineering

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“…These tests have been extensively used for models validation (Gavelli et al, 2008;Hansen et al, 2010); however, it is important to note that the tests were made decades ago, when the range of measurement and data logging equipment was not as comprehensive as nowadays and therefore data available from these tests is scarce for an overall CFD validation exercise.…”

Section: Survey Of Experimental Data To Perform Cfd Models Validationmentioning

confidence: 99%

“…The experiments consisted of a LNG spill onto a 58 m diameter water pound whose surface was at Table 9. In trial 3, Pasquill stability class was modified from B (experimental) to D (simulated) because the current version of FLACS may become unstable with such atmosphere condition (this problem was reported previously by Hansen, 2010). Grid was specified using an orthogonal base defined by the axes X, Y and Z; the Y direction is the horizontal and parallel to wind, the X direction is the perpendicular to wind …”

Section: Burro Series Simulationmentioning

confidence: 99%

Análise quantitativa de dispersão de vazamentos de substâncias inflamáveis e/ou tóxicas em ambientes com barreiras ou semi confinados.

Schleder¹

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Quantitative dispersion analysis of leakage of flammable and/or toxic substances on environments with barriers Acknowledgements First, I would like to express my deep gratitude to my supervisors Professors MarceloRamos Martins and Elsa Pastor Ferrer, both worked very hard to make this thesis and many other projects possible in a short time. Prof. Marcelo is more than a supervisor, he is a valuable friend over so many years of guidance, patience and dedication. Prof. Elsa, my other dear supervisor, became much more than a supervisor turned into a true friend. I have had the luck of having two supervisors and finding a friend in each one. Thank you so much my friends.To Professor Eulàlia Planas Cuchi who opened the doors of CERTEC at UPC for me and this way allowed me to spend one of the best periods of my life in Barcelona. I express my sincerest gratitude at both academic and personal levels. AbstractWith the industrial and technological development of the present-day society, the presence of flammable and toxic substances has increased in a growing number of activities.Dispersion of hazardous gas releases occurring in transportation or storage installations represent a major threat to health and environment. Therefore, forecasting the behaviour of a flammable or toxic cloud is a critical challenge in quantitative risk analysis. The main aim of this dissertation has been to provide new insights that can help technological risks analysts when dealing with complex dispersion modelling problems, particularly those problems involving dispersion scenarios with barriers or semi-confined.A literature survey has shown that, traditionally, empirical and integral models have been used to analyse dispersion of toxic/flammable substances, providing fast estimations and usually reliable results when describing simple scenarios (e.g. unobstructed gas flows over flat terrain). In recent years, however, the use of CFD tools for simulating dispersion accidents has significantly increased, as they allow modelling more complicated gas dispersion scenarios, like those occurring in complex topographies, semi-confined spaces or with the presence of physical barriers. Among all the available CFD tools, FLACS® software is envisaged to have high performance when simulating dispersion scenarios, but, as other codes alike, still needs to be fully validated.This work contributes to the validation of FLACS software for dispersion analysis. After a literature review on historical field tests, some of them have been selected to undertake a preliminary FLACS performance examination, inspecting all possible sources of uncertainties in terms of reproducibility capacity, grid dependence and sensitivity analysis of input variables and simulation parameters. The main outcomes of preliminary FLACS investigations have been shaped as practical guiding principles to be used by risk analysts when performing dispersion analysis with the presence of barriers using CFD tools. The field tests have contributed to the reassessment of the critical points rais...

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Process Safety in Natural Gas Industries

Ahammad

Mannan

2018

Natural Gas Processing From Midstream to Downstream

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Validation of FLACS against experimental data sets from the model evaluation database for LNG vapor dispersion

Cited by 121 publications

References 14 publications

Meta-modelling for fast analysis of CFD-simulated vapour cloud dispersion processes

Meta-modelling for fast analysis of CFD-simulated vapour cloud dispersion processes

Análise quantitativa de dispersão de vazamentos de substâncias inflamáveis e/ou tóxicas em ambientes com barreiras ou semi confinados.

Process Safety in Natural Gas Industries

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