Numerical investigation of the dispersion features of hydrogen gas under various leakage source conditions in a mobile hydrogen refueling station-Reference-Cited by-同舟云学术

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Numerical investigation of the dispersion features of hydrogen gas under various leakage source conditions in a mobile hydrogen refueling station

Published:2023-03 Issue:25 Volume:48 Page:9498-9511
ISSN:0360-3199
Container-title:International Journal of Hydrogen Energy
language:en
Short-container-title:International Journal of Hydrogen Energy

Author:

Li Yongjun,Wang Zhirong,Shi Xuemeng,Fan Rujia

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference61 articles.

1. Hydrogen energy systems for underwater applications;Sezgin;Int J Hydrogen Energy,2022

2. Comparative transient simulation of a renewable energy system with hydrogen and battery energy storage for residential applications;Mansir;Int J Hydrogen Energy,2022

3. Macroscopic characteristics and prediction model of horizontal extension length for syngas jet flame under inclined conditions;Wang;Int J Hydrogen Energy,2021

4. Affecting mechanism of partition boards on hydrogen dispersion in confined space with symmetrical lateral openings;Lu;Int J Hydrogen Energy,2021

5. Analytical and numerical predictions of hydrogen gas flow induced by wall and corner leakages in confined space;Wang;Int J Hydrogen Energy,2020

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1. Hydrogen leakage distribution and migration analysis under multiple factors in underground cross-river tunnel;Tunnelling and Underground Space Technology;2024-10

2. A mechanistic framework for the leakage risk reduction of mobile hydrogen refueling stations based on inherent safety concepts;International Journal of Hydrogen Energy;2024-09

3. Deep learning-based hydrogen leakage localization prediction considering sensor layout optimization in hydrogen refueling stations;Process Safety and Environmental Protection;2024-09

4. Deep learning-based dispersion prediction model for hazardous chemical leaks using transfer learning;Process Safety and Environmental Protection;2024-08

5. A novel method for analyzing the leakage and diffusion of hydrogen: First arrival time distribution;Renewable and Sustainable Energy Reviews;2024-07

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