A method for real-time estimation of gas leakage flow from leakage source based on point detection data

Peng, Lan; Huang, Xianjia; Chen, Jianghua; Yang, Ping; Xing, Chaoliang; Zhao, Chunyang

doi:10.1016/j.jlp.2022.104822

Cited by 7 publications

(3 citation statements)

References 14 publications

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“…For more complex conditions, CFD modelling may be a more appropriate choice. Recently, a novel methodology involves the integration of CFD with machine learning, specifically artificial neural networks (ANN) [ 27 , [50] , [51] , [52] ]. Future research could further explore the utilization of ANN models to expedite the assessment of domino effects.…”

Section: Validation and Discussion Of Methodologymentioning

confidence: 99%

Domino index: A rapid quantification tool for the domino effect in chemical plants

Gao,

Yang,

Shi

2023

Heliyon

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Section: Validation and Discussion Of Methodologymentioning

confidence: 99%

Domino index: A rapid quantification tool for the domino effect in chemical plants

Gao,

Yang,

Shi

2023

Heliyon

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“…The establishment of a hydrogen leakage database can provide rich data support for diagnosis, and the data sets of hydrogen concentration at different wind speeds and different distances are used to train the support vector regression model. In the scenario where the relative error of the database is in the range from 0% to 25%, a relative error of 9.8% in prediction can be realized …”

Section: Leakage Diagnosismentioning

confidence: 99%

Comprehensive Review of Hydrogen Leakage in Relation to Fuel Cell Vehicles and Hydrogen Refueling Stations: Status, Challenges, and Future Prospects

Hu,

Gao,

Cheng

et al. 2024

Energy Fuels

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As fuel cell vehicles (FCVs) are increasingly put on the market and hydrogen refueling stations (HRSs) are built accordingly, fatal accidents caused by explosion due to hydrogen leakage are reported and have become a critical issue. The explosion results from complicated processes associated with the so-called hydrogen jet and diffusion when the hydrogen leaks from FCVs or HRSs, demonstrating its sophisticated characteristics and presenting significant technical challenges. Recently, particularly in the past a few years, researchers have established a variety of theoretical models to reveal the relevant mechanisms and introduced a series of monitoring/diagnostic approaches to detect and control the relevant hazards. This comprehensive review summarizes the major research outcomes and particularly the state-of-the-art progresses in relation to hydrogen leakage in FCVs and HRSs, including (1) subsonic jets, (2) underexpanded jets, (3) hydrogen diffusion behavior, (4) hazard reduction methods for confined and free spaces, (5) four types of widely used hydrogen detection technologies, and (6) the application of hydrogen leakage diagnostic methods in different systems. An insight of the review is that research on hydrogen leakage related to FCVs and HRSs should be combined with the relevant realistic characteristics. The characteristics of hydrogen jets generated in real gaps are discussed, and hazard reduction methods are proposed based on the characteristics of hydrogen diffusion in different confined and free spaces. It is suggested that, in order to integrate and evaluate multiple sensor data points and more accurately determine the leakage location and the leakage level, artificial intelligence technologies could be introduced to resolve the issues encountered currently.

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“…In terms of risk assessment, many methods and tools have been developed aiming at modeling the consequences and safety zones of industrial accidents: computational fluid dynamics, Process Hazard Analysis Software Tool, Areal Location of Hazardous Atmospheres (ALOHA), and Korea Off-site Risk Assessment Supporting Tool. [6][7][8] Among them, the ALOHA software, developed in America, is a representative program designed for simulating diffusion and hazards of chemical release. The ALOHA can predict the threat zones of toxic air, the areas affected by thermal radiation and overpressure from various accident scenarios such as flammability, pool fires, and explosions.…”

mentioning

confidence: 99%

Modeling the risk of acetone emission from a storage tank in summer and winter

et al. 2023

Process Safety Progress

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The leakage of acetone from damaged tanks can threaten workers, surrounding facilities, and the environment. The safe storage of acetone is of vital importance for emergency planning and response. This paper focused on the effects and consequences of acetone leaks from a 200 m3 storage tank in the summer and winter seasons by the employment of Areal Locations of Hazardous Atmospheres. The hazard zones classified as red threat zone, orange threat zone, and yellow threat zone were determined and analyzed. Results showed that the risk distribution of the toxic acetone vapor cloud in summer was greater than those in winter. The summer and winter seasons have no significant effect on the thermal radiation intensities from pool fire and the Boiling Liquid Expanding Vapor Explosion (BLEVE) scenario. The maximum distance of toxicity, flammability, and thermal radiation from the pool fire and BLEVE scenario for the acetone leakage were 547, 111, 16, and 1100 m, respectively. The results would provide guidance for decision‐makers in safety management and emergency response to reduce hazards.

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A method for real-time estimation of gas leakage flow from leakage source based on point detection data

Cited by 7 publications

References 14 publications

Domino index: A rapid quantification tool for the domino effect in chemical plants

Domino index: A rapid quantification tool for the domino effect in chemical plants

Comprehensive Review of Hydrogen Leakage in Relation to Fuel Cell Vehicles and Hydrogen Refueling Stations: Status, Challenges, and Future Prospects

Modeling the risk of acetone emission from a storage tank in summer and winter

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