Renewable energy-to-green hydrogen: A review of main resources routes, processes and evaluation
Hydrogen is a fuel with enormous potential to meet the need for ecologically friendly energy
sources. Hydrogen from renewable sources can reroute renewable sources out of landfills …
sources. Hydrogen from renewable sources can reroute renewable sources out of landfills …
[HTML][HTML] AI-driven development of high-performance solid-state hydrogen storage
G Wang, Z Luo, HG Desta, M Chen, Y Dong, B Lin - Energy Reviews, 2024 - Elsevier
Energy drives the development of human civilization, and hydrogen energy is an inevitable
choice under the goal of “global energy transition”. As hydrogen technology continues to …
choice under the goal of “global energy transition”. As hydrogen technology continues to …
Artificial intelligence-based prediction of hydrogen adsorption in various kerogen types: Implications for underground hydrogen storage and cleaner production
Hydrogen offers significant potential as a sustainable energy source. However, its storage
and transportation pose challenges due to its volatility and low density. Subsurface …
and transportation pose challenges due to its volatility and low density. Subsurface …
[HTML][HTML] Prediction of hydrogen uptake of metal organic frameworks using explainable machine learning
Metal organic frameworks (MOFs) are considered as potential materials for hydrogen
storage. The hydrogen uptake is influenced by several parameters (eg, temperature …
storage. The hydrogen uptake is influenced by several parameters (eg, temperature …
Machine learning-based deoxidizer screening for intensified hydrogen production from steam splitting
The design of advanced deoxidizer is the key to promote hydrogen production from
chemical loo** steam splitting, however, the deoxidizer shows complicated possibility of …
chemical loo** steam splitting, however, the deoxidizer shows complicated possibility of …
Simultaneous prediction of CO2, CO, and NOx emissions of biodiesel-hydrogen blend combustion in compression ignition engines by supervised machine learning …
L Zhang, G Zhu, Y Chao, L Chen, A Ghanbari - Energy, 2023 - Elsevier
This study mathematically inspects the effects of engine speed/load and biodiesel–hydrogen
fuel blend composition on CO 2, CO, and NO x emissions. Since this modeling task requires …
fuel blend composition on CO 2, CO, and NO x emissions. Since this modeling task requires …
[HTML][HTML] Experimental and modeling analyzing the biogas upgrading in the microchannel: Carbon dioxide capture by seawater enriched with low-cost waste materials
There are multiple techniques to enhance the calorific value of biogas by removing
impurities, especially carbon dioxide (CO 2). This study used a T-shaped microchannel to …
impurities, especially carbon dioxide (CO 2). This study used a T-shaped microchannel to …
Applying the wavelet neural network to estimate hydrogen dissolution in underground sodium chloride solutions
Y Zhu, H Wang, K Vano - International Journal of Hydrogen Energy, 2022 - Elsevier
It is possible to store large-scale hydrogen in underground sodium chloride solutions.
Accurate knowledge of hydrogen-brine phase equilibrium is necessary for fully benefiting …
Accurate knowledge of hydrogen-brine phase equilibrium is necessary for fully benefiting …
Machine learning-aided modeling of the hydrogen storage in zeolite-based porous media
Zeolites are among the most popular porous solids for hydrogen storage. Hydrogen attaches
to the surface and microporous structure of zeolites. The literature mainly inspected the …
to the surface and microporous structure of zeolites. The literature mainly inspected the …
A review of green hydrogen production by renewable resources
This comprehensive review delves into the burgeoning field of green hydrogen production
through the utilization of renewable resources. As the global demand for clean and …
through the utilization of renewable resources. As the global demand for clean and …