Safety analysis of hydrogen leakage accident with a mobile hydrogen refueling station
Y Li, Z Wang, X Shi, R Fan - Process Safety and Environmental Protection, 2023 - Elsevier
The operation of mobile hydrogen refueling stations will be popular for hydrogen energy
supply in the future, and the investigation includes the hydrogen diffusion behavior of …
supply in the future, and the investigation includes the hydrogen diffusion behavior of …
A state-of-the-art review of experimental and numerical studies on BLEVE overpressure prediction
Abstract Accidents of Boiling Liquid Expanding Vapour Explosions (BLEVEs), which have
been often reported worldwide, can bring about significant economic and environmental …
been often reported worldwide, can bring about significant economic and environmental …
Real-time pipeline leak detection and localization using an attention-based LSTM approach
Long short-term memory (LSTM) has been widely applied to real-time automated natural
gas leak detection and localization. However, LSTM approach could not provide the …
gas leak detection and localization. However, LSTM approach could not provide the …
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Accurate wind speed forecasting plays a crucial role in the efficient and economical
management of power supply systems. In this study, a novel framework combining …
management of power supply systems. In this study, a novel framework combining …
An integrated methodology for dynamic risk prediction of thermal runaway in lithium-ion batteries
H Meng, Q Yang, E Zio, J Xing - Process Safety and Environmental …, 2023 - Elsevier
The risk of thermal runaway in lithium-ion battery (LIB) attracts significant attention from
domains of society, industry, and academia. However, the thermal runaway prediction in the …
domains of society, industry, and academia. However, the thermal runaway prediction in the …
Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning
Y Bi, Q Wu, S Wang, J Shi, H Cong, L Ye, W Gao, M Bi - Energy, 2023 - Elsevier
Accurate and efficient localization of hydrogen leakage is crucial for ensuring the safe and
stable operation of hydrogen refueling stations. In this paper, a hybrid model (CEEMDAN …
stable operation of hydrogen refueling stations. In this paper, a hybrid model (CEEMDAN …
Optimization of load balancing and task scheduling in cloud computing environments using artificial neural networks-based binary particle swarm optimization (BPSO)
MI Alghamdi - Sustainability, 2022 - mdpi.com
As more people utilize the cloud, more employment opportunities become available. With
constraints such as a limited make-span, a high utilization rate of available resources …
constraints such as a limited make-span, a high utilization rate of available resources …
Hydrogen jet and diffusion modeling by physics-informed graph neural network
Abstract Renewable Power-to-Hydrogen (P2H2) system is an emerging decarbonization
strategy for achieving global carbon neutrality. However, the propensity of hydrogen to leak …
strategy for achieving global carbon neutrality. However, the propensity of hydrogen to leak …
Real-time natural gas explosion modeling of offshore platforms by using deep learning probability approach
Natural gas explosion of offshore platform is prone to cause accidental disaster such as
platform collapse and casualties etc. Real-time natural gas explosion consequence …
platform collapse and casualties etc. Real-time natural gas explosion consequence …
Real-time hydrogen release and dispersion modelling of hydrogen refuelling station by using deep learning probability approach
Hydrogen release and dispersion from hydrogen refuelling stations have the potential to
cause explosion disaster and bring significant causalities and economic losses to the …
cause explosion disaster and bring significant causalities and economic losses to the …