Research on hydrogen diffusion and sensor arrangement strategy in a marine engine room DOI
Jie Liu, Yingchun Xie,

Zhen Xu

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 95, P. 860 - 873

Published: Nov. 21, 2024

Language: Английский

Modeling and temperature control of a water-cooled PEMFC system using intelligent algorithms DOI
Junhong Chen,

Pu He,

Sai-Jie Cai

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 372, P. 123790 - 123790

Published: July 2, 2024

Language: Английский

Citations

25
Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations DOI Creative Commons

Leiqi Zhang,

Qiliang Wu, Min Liu

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(2), P. 228 - 228

Published: Jan. 7, 2025

Hydrogen safety is a critical issue during the construction and development of hydrogen energy industry. refueling stations play pivotal role in chain. In event an accidental leak at station, ability to quickly predict leakage location crucial for taking immediate effective measures prevent disastrous consequences. Therefore, precise efficient technologies locations vital safe stable operation stations. This paper studied localization technology high-risk fuel cell system skid-mounted station. The diffusion processes were predicted using CFD simulations, concentration data various monitoring points obtained. Then, multilayer feedforward neural network was developed simulated as training samples. After multiple adjustments structure hyperparameters, final model with two hidden layers selected. Each layer consisted 10 neurons. hyperparameters included learning rate 0.0001, batch size 32, 10-fold cross-validation. Softmax classifier Adam optimizer used, set 1500 epochs. results show that algorithm can not set. accuracy achieved by 95%. approach addresses limitations sensor detection accurately locating leaks mitigates risks associated manual inspections. provides feasible method application scenarios.

Language: Английский

Citations

1
Computational insights into evolution mechanism of hydrogen vapor cloud explosion and expanding resistant capabilities in oil-hydrogen refueling station DOI
Kan Wang, Siyuan Xu,

Mingjun Zhou

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 115, P. 310 - 325

Published: March 11, 2025

Language: Английский

Citations

1
Deep learning-based source term estimation of hydrogen leakages from a hydrogen fueled gas turbine DOI
A. Li, Zi–Qiang Lang,

Chuantao Ni

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 86, P. 875 - 889

Published: Sept. 3, 2024

Language: Английский

Citations

4
Thermal-mechanical-diffusion multi-field coupling behavior of rubber seals in high-pressure hydrogen environment DOI
Ma Yi,

Lijun Wu,

Chuanming Li

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 112, P. 333 - 346

Published: March 1, 2025

Language: Английский

Citations

0
Data-augmented deep learning for hazard assessment of hydrogen accumulation in confined spaces: Multitask prediction and sensitivity analysis DOI
Wei Dong, Yuichi Sugai, Ying Shi

et al.

Fuel, Journal Year: 2025, Volume and Issue: 394, P. 135056 - 135056

Published: March 21, 2025

Language: Английский

Citations

0
Hydrogen leakage and diffusion in the operational cabin of hydrogen tube bundle containers：A CFD study DOI

Jitian Song,

Kaikai Qi,

Xu Liu

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 88, P. 986 - 1002

Published: Sept. 24, 2024

Language: Английский

Citations

3
The simulation of hydrogen leakage behavior and risks in a nuclear hydrogen production station DOI
Shucheng Zhang, Xuefeng Lyu,

Tiancheng Zhu

et al.

Nuclear Engineering and Design, Journal Year: 2025, Volume and Issue: 433, P. 113853 - 113853

Published: Jan. 17, 2025

Language: Английский

Citations

0
Analysis of the effects of ambient wind and vehicle opening conditions on the hydrogen leakage hazard of hydrogen fuel cell buses DOI
Qiuju Ma,

Fushuai Guo

Fuel, Journal Year: 2025, Volume and Issue: 392, P. 134912 - 134912

Published: March 4, 2025

Language: Английский

Citations

0
Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT DOI Creative Commons
Mahmoud Ragab, Mohammed Basheri,

Nasser Albogami

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 110, P. 438 - 450

Published: Oct. 14, 2024

Language: Английский

Citations

2