Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies

Computational fluid dynamics (CFD) simulations have been conducted for dense gas dispersion of liquefied natural gas (LNG). The simulations have taken into account the effects of gravity, time-dependent downwind and crosswind dispersion, and terrain. Experimental data from the Burro series field tes...

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Main Authors: Sun, Biao, Utikar, Ranjeet, Pareek, Vishnu, Guo, K.
Format: Journal Article
Published: Elsevier Ltd 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/45177
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author Sun, Biao
Utikar, Ranjeet
Pareek, Vishnu
Guo, K.
author_facet Sun, Biao
Utikar, Ranjeet
Pareek, Vishnu
Guo, K.
author_sort Sun, Biao
building Curtin Institutional Repository
collection Online Access
description Computational fluid dynamics (CFD) simulations have been conducted for dense gas dispersion of liquefied natural gas (LNG). The simulations have taken into account the effects of gravity, time-dependent downwind and crosswind dispersion, and terrain. Experimental data from the Burro series field tests, and results from integral model (DEGADIS) have been used to assess the validity of simulation results, which were found to compare better with experimental data than the commonly used integral model DEGADIS. The average relative error in maximum downwind gas concentration between CFD predictions and experimental data was 19.62%.The validated CFD model was then used to perform risk assessment for most-likely-spill scenario at LNG stations as described in the standard of NFPA 59A (2009) “Standard for the Production, Storage and Handling of Liquefied Natural Gas”. Simulations were conducted to calculate the gas dispersion behaviour in the presence of obstacles (dikes walls). Interestingly for spill at a higher elevation, e.g., tank top, the effect of impounding dikes on the affected area was minimal. However, the impoundment zone did affect the wind velocity field in general, and generated a swirl inside it, which then played an important function in confining the dispersion cloud inside the dike. For most cases, almost 75% of the dispersed vapour was retained inside the impoundment zone. The finding and analysis presented here will provide an important tool for designing LNG plant layout and site selection.
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institution Curtin University Malaysia
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publishDate 2013
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spelling curtin-20.500.11937-451772017-02-28T01:40:43Z Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies Sun, Biao Utikar, Ranjeet Pareek, Vishnu Guo, K. Risk assessment Dense gas dispersion LNG NFPA 59A CFD Impoundment Computational fluid dynamics (CFD) simulations have been conducted for dense gas dispersion of liquefied natural gas (LNG). The simulations have taken into account the effects of gravity, time-dependent downwind and crosswind dispersion, and terrain. Experimental data from the Burro series field tests, and results from integral model (DEGADIS) have been used to assess the validity of simulation results, which were found to compare better with experimental data than the commonly used integral model DEGADIS. The average relative error in maximum downwind gas concentration between CFD predictions and experimental data was 19.62%.The validated CFD model was then used to perform risk assessment for most-likely-spill scenario at LNG stations as described in the standard of NFPA 59A (2009) “Standard for the Production, Storage and Handling of Liquefied Natural Gas”. Simulations were conducted to calculate the gas dispersion behaviour in the presence of obstacles (dikes walls). Interestingly for spill at a higher elevation, e.g., tank top, the effect of impounding dikes on the affected area was minimal. However, the impoundment zone did affect the wind velocity field in general, and generated a swirl inside it, which then played an important function in confining the dispersion cloud inside the dike. For most cases, almost 75% of the dispersed vapour was retained inside the impoundment zone. The finding and analysis presented here will provide an important tool for designing LNG plant layout and site selection. 2013 Journal Article http://hdl.handle.net/20.500.11937/45177 Elsevier Ltd restricted
spellingShingle Risk assessment
Dense gas dispersion
LNG
NFPA 59A
CFD
Impoundment
Sun, Biao
Utikar, Ranjeet
Pareek, Vishnu
Guo, K.
Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies
title Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies
title_full Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies
title_fullStr Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies
title_full_unstemmed Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies
title_short Computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies
title_sort computational fluid dynamics analysis of liquefied natural gas dispersion for risk assessment strategies
topic Risk assessment
Dense gas dispersion
LNG
NFPA 59A
CFD
Impoundment
url http://hdl.handle.net/20.500.11937/45177