Reduced order models for uncertainty quantification of gas plumes from leakages during LNG bunkering

Nguyen, Vinh-Tan; Raghavan, Venugopalan S. G.; Quek, Raymond; Lim, Boon How; Deguang, Yan

doi:10.1016/j.jlp.2022.104724

Cited by 8 publications

(1 citation statement)

References 17 publications

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“…It used CFD tools for the consequence estimation and historical data for the frequency estimation and gave safety zones based on population-independent and population-dependent analysis. Nguyen et al 157 developed a CFD model for the jet leak during bunkering operation by considering uncertainties like wind speed and direction. The sensitivity of the safety zone extended to the wind conditions was demonstrated to help in risk assessment and design of bunkering.…”

Section: Risk Analysis Of Storage and Handlingmentioning

confidence: 99%

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Srinivasan,

Singh,

Deshpande

et al. 2024

Ind. Eng. Chem. Res.

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Even as global economies shift away from a fossil-based energy mix to renewables, in many countries, the share of natural gas (NG) in their energy baskets is increasing. As the cleaner option among fossil fuels and given its widespread availability at scale, NG is expected to play a dominant role as the bridge fuel during the energy transition. NG is traded globally under cryogenic conditions as liquefied natural gas (LNG). The LNG supply chain comprises LNG exports, maritime transportation, imports, regasification, and distribution to various end users. This work provides a comprehensive review of the scientific advancements related to the overall LNG supply chain. In the last two decades, major developments have occurred in terminal modeling; process and energy optimization; safety, risk, and consequence assessments; and supply chain (SC) optimization. Our review reveals that the management of boil-off gas continues to be a core challenge, as reflected in the broad range of studies to model, control, and optimize this aspect. We conclude our review with insights on opportunities for future research, including SC resilience and operational efficiency. Finally, new-generation fuels such as hydrogen and its carriers are also often handled under cryogenic conditions. Therefore, research on their SCs should be informed by the literature on LNG SCs.

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Section: Risk Analysis Of Storage and Handlingmentioning

confidence: 99%

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Srinivasan,

Singh,

Deshpande

et al. 2024

Ind. Eng. Chem. Res.

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Application of uncertainty quantification techniques in the framework of process safety studies: Advanced dispersion simulations

Bellegoni,

Marroni,

Mariotti

et al. 2024

Can J Chem Eng

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In the framework of process safety studies, consequence assessment of accidental scenarios is a crucial step affecting the eventual risk profile associated with the facilities under analysis. Conventional models used for consequence assessment are based on integral models, and may not be adequate to cope with the dynamic evolution of accidental scenarios and their three‐dimensional features. On the other hand, consequence assessment models based on computational fluid dynamics (CFD) approaches are promising to cope with complex scenarios and environments, but setting the simulation introduces relevant uncertainties associated with both the input data, assumptions, and with the modelling of physical effects involved. In the present study, uncertainty quantification (UQ) techniques are applied to support advanced safety studies based on CFD simulations of hazardous gas dispersion. Firstly, the accidental scenarios are characterized by defining release scenarios and conditions and quantifying source terms using integral models. At the same time, input meteorological data are gathered. This enables the development of high‐fidelity CFD simulations of gas dispersion based on different input sets and eventually the implementation of UQ techniques. The generalized polynomial chaos (gPC) expansion is employed to obtain hazardous gas concentration based on the variation of wind direction and speed. The present method is applied for the analysis of a real plant featuring a complex layout. The results show the advantages of the present approach by quantifying the influence of meteorological conditions and providing indications for supporting the development of protection systems and emergency measures.

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A fast POD prediction method for hydrogen leakage at different pressures

Chen,

Qi,

et al. 2024

International Journal of Hydrogen Energy

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Reduced order models for uncertainty quantification of gas plumes from leakages during LNG bunkering

Cited by 8 publications

References 17 publications

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Liquefied Natural Gas (LNG) Supply Chains: Recent Advances and Future Opportunities

Application of uncertainty quantification techniques in the framework of process safety studies: Advanced dispersion simulations

A fast POD prediction method for hydrogen leakage at different pressures

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