Lessons learned from LNG safety research

This paper describes modelling of consequences of biogas leakage from a gasholder on agricultural biogas station. Four scenarios were selected for the purpose of this work. A rupture of gasholders membrane and instantaneous explosion of gas cloud, blast of gas with delay, emptying of whole volume of gas (without initiation) and initiation of gas with Jet-Fire. Leakage of gas is modelled by special software and consequences are determined on the basis of results. The first scenario was modelled with help of equations because used software does not include an appropriate model. A farm with high building density was chosen as a model case. Biogas is replaced by methane because used software does not support modelling of dispersion of mixtures. From this viewpoint, a conservative approach is applied because biogas contains "only" approximately 60% of methane (in dependence on technology and processed material).Keywords: accident, agriculture, biogas, station Abstrakt Práce se zabývá modelováním možných následků úniku bioplynu na zemědělské bioplynové stanici. Pro účel této práce byly vybrány celkem čtyři havarijní scénáře. První scénář předpokládá poškození plynojemu a okamžitý výbuch plynného mraku. Druhý scénář předpokládá výbuch bioplynu se zpožděním, třetí scénář únik veškerého objemu bioplynu ze zásobníku bez následné iniciace a poslední scénář předpokládá iniciaci uniklého bioplynu a následný Jet-Fire. Scénáře byly modelovány s pomocí speciálního software. Následky jednotlivých scénářů byly poté určeny na základě výstupů z tohoto software. Jako modelový příklad byla zvolena zemědělská bioplynová stanice s vysokou hustotou zástavby. Pro účely modelování byl bioplyn nahrazen methanem. Z tohoto hlediska byl tedy zvolen konzervativní přístup, protože

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“…However, biogas is initiated with delay (Koopman, Ermak, 2007). This scenario can occur in the case when the gasholder has only one layer.…”

Section: Scenario IImentioning

confidence: 99%

Modelling of Consequences of Biogas Leakage from Gasholder

Trávníček¹,

Kotek²,

Junga³

2017

JCEA

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“…Mathematical models dedicated to the heavy gas dispersion differ in the completeness and methods of the description of physical and chemical processes taking place during the dispersion of heavy gas clouds, type of the release to which they apply, requirements concerning the input data, computer resources and computational costs, qualifications of the potential user [5]. Model capabilities and limitations influence their applications.…”

Section: General Remarksmentioning

confidence: 99%

A Review of Mathematical Models for the Atmospheric Dispersion of Heavy Gases. Part I. A Classification of Models

Markiewicz¹

2012

Ecological Chemistry and Engineering S

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Abstract:In this two part article in its first part models of heavy gas dispersion in the atmosphere are classified and the distinguished groups of models are characterised. In the second part the procedures for the model quality evaluation are described and the main results of model evaluation projects are summarised. Substances released to the atmosphere which have a density greater than the density of the atmospheric air are called heavy gases or dense gases. The dispersion of heavy gases is different from that encountered in the case of neutrally or positively buoyant gases. Specific models have been developed to describe it. The heavy gas dispersion models differ in the complexity and mathematical description. Based on these criteria four main groups of models are distinguished: simple/empirical models, intermediate/integral and shallow layer models, advanced/Lagrangian particle trajectory and Lagrangian puff dispersion models and sophisticated/Computer Fluid Dynamics (CFD) models. This classification is an extension of the classification proposed earlier in the literature.

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“…World-wide requirements necessitate long distance marine and tail transportation. Such an increase will bring renewed pressures on improved quantification of risk associated with LNG transport and loading operations, ensuring that safety precautions can be put in place [1] .…”

Section: Introductionmentioning

confidence: 99%

The Influence of Chemical Composition on LNG Pool Vaporization

Zhi-dong

2017

MATEC Web Conf.

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Abstract.A model is used to examine the influence of chemical composition on the vaporization rate of LNG during spreading. Calculations have been performed whereby the vaporization rate of the LNG mixtures has been compared to the vaporization of pure methane under the initial conditions. The detailed results indicate that the vaporization rate LNG mixture is different to that of pure methane. LNG as the liquid mixture gets rich in ethane and isobaric latent heat increases rapidly, leading to the rate vaporization of LNG decrease in compared to pure methane.

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Lessons learned from LNG safety research

Cited by 81 publications

References 32 publications

Modelling of Consequences of Biogas Leakage from Gasholder

Modelling of Consequences of Biogas Leakage from Gasholder

A Review of Mathematical Models for the Atmospheric Dispersion of Heavy Gases. Part I. A Classification of Models

The Influence of Chemical Composition on LNG Pool Vaporization

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