Recent progress on heterogeneous catalytic formic acid decomposition for hydrogen production DOI
Haojie Li,

Dongxu Song,

Xuetao Wang

et al.

Fuel, Journal Year: 2024, Volume and Issue: 383, P. 133824 - 133824

Published: Nov. 27, 2024

Language: Английский

Modelling underground hydrogen storage: A state-of-the-art review of fundamental approaches and findings DOI Creative Commons
Motaz Saeed, Prashant Jadhawar

Gas Science and Engineering, Journal Year: 2023, Volume and Issue: 121, P. 205196 - 205196

Published: Dec. 16, 2023

This review presents a State-of-Art of geochemical, geomechanical, and hydrodynamic modelling studies in the Underground Hydrogen Storage (UHS) domain. Geochemical assessed reactivity hydrogen respective fluctuations losses using kinetic reaction rates, rock mineralogy, brine salinity, integration redox reactions. Existing geomechanics offer an array coupled hydro-mechanical models, suggesting decline failure during withdrawal phase aquifers compared to injection phase. Hydrodynamic evaluations indicate critical importance relative permeability hysteresis determining UHS performance. Solubility diffusion gas appear have minimal impact on UHS. Injection production cushion deployment, reservoir heterogeneity however significantly affect performance, stressing need for thorough experimental studies. However, most current efforts focuses assessing aspects which are crucial understanding viability safety In contrast, lesser-explored geochemical geomechanical considerations point potential research gaps. Variety software tools such as CMG, Eclipse, COMSOL, PHREEQC evaluated those underlying effects, along with few recent application data-driven based Machine Learning (ML) techniques enhanced accuracy. identified several unresolved challenges modelling: pronounced lack expansive datasets, leading gap between model predictions their practical reliability; robust methodologies capable capturing natural subsurface while upscaling from precise laboratory data field-scale conditions; demanding intensive computational resources novel strategies enhance simulation efficiency; addressing geological uncertainties environments, that oil simulations could be adapted comprehensive offers synthesis prevailing approaches, challenges, gaps domain UHS, thus providing valuable reference document further efforts, facilitating informed advancements this towards realization sustainable energy solutions.

Language: Английский

Citations

37

Molecular simulations of hydrogen diffusion in underground porous media: Implications for storage under varying pressure, confinement, and surface chemistry conditions DOI
Madeleine C. Oliver, Ruyi Zheng, Liangliang Huang

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 65, P. 540 - 547

Published: April 9, 2024

Language: Английский

Citations

13

Long-term stability forecasting for energy storage salt caverns using deep learning-based model DOI
Kai Zhao, Shinong Yu, Louis Ngai Yuen Wong

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134854 - 134854

Published: Feb. 1, 2025

Language: Английский

Citations

1

Artificial intelligence in geoenergy: bridging petroleum engineering and future-oriented applications DOI Creative Commons
Sungil Kim, Tea-Woo Kim, Suryeom Jo

et al.

Journal of Petroleum Exploration and Production Technology, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

Language: Английский

Citations

1

Influence of Pore Network Parameters on Hygric Property Prediction for Porous Building Materials DOI
Chengnan Shi, Jeroen Soete, Hans Janßen

et al.

Transport in Porous Media, Journal Year: 2024, Volume and Issue: 151(6), P. 1333 - 1361

Published: April 1, 2024

Language: Английский

Citations

4

Pore-scale numerical investigation on the capillary trapping of hydrogen in natural sandstone under in-situ wettability condition: Implications for underground hydrogen storage in aquifers DOI
Jiajun Peng, Binwei Xia, Yiyu Lu

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 113, P. 509 - 522

Published: March 1, 2025

Language: Английский

Citations

0

Deep Learning-Based Prediction of Hydrogen Dynamics and Mixing Phenomenon in Fractured Aquifers for Underground Hydrogen Storage DOI

Zahra Almahmoodi,

Mostafa Gilavand, Behnam Sedaee

et al.

Energy & Fuels, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Language: Английский

Citations

0

H2 diffusion in cement nanopores and its implication for underground hydrogen storage DOI

A Hubao,

Zhibing Yang, Yongqiang Chen

et al.

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 102, P. 113926 - 113926

Published: Oct. 2, 2024

Language: Английский

Citations

3

Investigation on the heat transfer estimation of subcooled liquid hydrogen for transportation applications using intelligent technique DOI Creative Commons
Shahin Alipour Bonab, Mohammad Yazdani-Asrami

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 84, P. 468 - 479

Published: Aug. 20, 2024

Language: Английский

Citations

2

Available target evaluation of underground gas storage based on AHP-FCE methods DOI
Youwei He, Guoqing Zhao, Yong Tang

et al.

Geoenergy Science and Engineering, Journal Year: 2024, Volume and Issue: 242, P. 213255 - 213255

Published: Aug. 27, 2024

Language: Английский

Citations

2