CFD and EnKF coupling estimation of LNG leakage and dispersion

Wu, Jiansong; Cai, Jitao; Yuan, Shuaiqi; Zhang, Xiaole; Reniers, Genserik

doi:10.1016/j.ssci.2021.105263

Cited by 25 publications

(21 citation statements)

References 32 publications

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“…This model utilized the suitability of convolutional networks for feature extraction from visual data, making the network training to produce more accurate results. Since data generated from OpenFOAM was proven reliable based on previous studies (Fiates and Vianna, 2016;Wu et al, 2021), the combined model showed promise for producing accurate results. A.…”

Section: Process Overviewmentioning

confidence: 99%

“…The major limitation of this study is that it is based on the generated data, which is difficult to obtain in a live receiving terminal. However, it is possible to link real plant data (Wu et al, 2021) to the generated profiles for further analysis. Another area of application may lie in digital twin technology, where digital twins can generate such profiles, and the hybrid model can be used for leak detection and classification.…”

Section: Process Overviewmentioning

confidence: 99%

“…Although Convolutional Network can generate additional data for proper training (Jain, 2017), a bare minimum could not be met. Therefore, a validated mathematical simulation of a gas leak using OpenFOAM that had been published recently by (Wu et al, 2021) was adopted for the current purpose This generated sufficient data for network training. The upside of using this established model was that it was ready for immediate use following installation, and some key parameters were easily configured.…”

Section: Generation Of Training Datamentioning

confidence: 99%

“…Data generation was performed using a receiving terminal setup with a complex layout, obstacles, buoyancy forces, etc., taken from Wu et al,Fig. 2 shows the layout of the receiving terminal and the location of the leakage (Wu et al, 2021). More details regarding geometrical setup, input parameters, and boundary conditions can be found in their work.…”

Section: Generation Of Training Datamentioning

confidence: 99%

See 3 more Smart Citations

Gas leakage detection using spatial and temporal neural network model

Kopbayev

Khan

Yang

et al. 2022

Process Safety and Environmental Protection

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Section: Process Overviewmentioning

confidence: 99%

Section: Process Overviewmentioning

confidence: 99%

Section: Generation Of Training Datamentioning

confidence: 99%

Section: Generation Of Training Datamentioning

confidence: 99%

See 2 more Smart Citations

Gas leakage detection using spatial and temporal neural network model

Kopbayev

Khan

Yang

et al. 2022

Process Safety and Environmental Protection

View full text Add to dashboard Cite

“…For GHG emissions, a "technology warming potential" approach (Thomson et al, 2015) and risk assessment framework (Wu et al, 2021a) can be adopted, and the use of dual-fuel engines is proposed as an efficient method (Mestemaker et al, 2020). In response to technical problems, it is recommended to incentivize technological innovations by formulating corresponding laws (Thomson et al, 2015;Lindstad et al, 2020;Xu and Mukherjee, 2020), which may in turn supports safety control, loss prevention and emergency response (Wu et al, 2021b). In summary, facilitating the adoption of alternative fuels calls for effective policy and technical frameworks created from a system-wide perspective (Wang and Wright, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

The use of alternative fuels for maritime decarbonization: Special marine environmental risks and solutions from an international law perspective

et al. 2023

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The introduction of several alternative marine fuels is considered an important strategy for maritime decarbonization. These alternative marine fuels include liquefied natural gas (LNG), liquefied biogas (LBG), hydrogen, ammonia, methanol, ethanol, hydrotreated vegetable oil (HVO), etc. In some studies, nuclear power and electricity are also included in the scope of alternative fuels for merchant ships. However, the operation of alternative-fuel-powered ships has some special risks, such as fuel spills, vapor dispersion and fuel pool fires. The existing international legal framework does not address these risks sufficiently. This research adopts the method of legal analysis to examine the existing international legal regime for regulating the development of alternative-fuel-powered ships. From a critical perspective, it evaluates and predicts the consequences of these policies together with their shortcomings. Also, this research explores the potential solutions and countermeasures that might be feasible to deal with the special marine environmental risks posed by alternative-fuel-powered ships in the future.

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Liquefied Natural Gas Value Chain: A Comprehensive Review and Analysis

Shingan,

Banerjee,

Kumawat

et al. 2023

Chem Eng & Technol

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Over the past few decades, the liquefied natural gas (LNG) business has experienced astounding expansion and gained global relevance. LNG has emerged as a key element in meeting the world's rising energy demand while working to cut carbon emissions, since it is a cleaner and more adaptable energy source. The entire process from natural gas extraction to consumption is covered in the presented analysis of the LNG value chain, starting out by looking at the discovery and production of natural gas reserves, highlighting important innovations and methods used during the extraction stage. The procedures used to treat and purify natural gas in order to meet the strict standards for liquefaction are detailed. Analysis of the liquefaction process reveals numerous liquefaction technologies, e.g. the well‐known conventional liquefaction and the cutting‐edge floating LNG and small‐scale LNG facilities. LNG storage and transportation, as critical components in the value chain, are examined in great detail. When the LNG reaches its destination, regasification plays a crucial role in repurposing it as a gas for distribution and consumption. Regasification technologies, such as conventional onshore terminals, floating storage and regasification units, and land‐based regasification facilities, are covered. Concerns regarding methane emissions and the carbon footprint, the potential for reducing greenhouse gas emissions through new technology, the environmental impact of LNG, and the economics of LNG are also considered across its value chain.

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CFD and EnKF coupling estimation of LNG leakage and dispersion

Cited by 25 publications

References 32 publications

Gas leakage detection using spatial and temporal neural network model

Gas leakage detection using spatial and temporal neural network model

The use of alternative fuels for maritime decarbonization: Special marine environmental risks and solutions from an international law perspective

Liquefied Natural Gas Value Chain: A Comprehensive Review and Analysis

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