A review of underground hydrogen storage systems: Current status, modeling approaches, challenges, and future prospective

SO Bade, K Taiwo, UF Ndulue, OS Tomomewo… - International Journal of …, 2024 - Elsevier
Our increased reliance on fossil fuels and its environmental effects have led us to prioritize
transitioning to a carbon-free economy and using renewable sources of electric power …

[HTML][HTML] Modelling underground hydrogen storage: A state-of-the-art review of fundamental approaches and findings

M Saeed, P Jadhawar - Gas Science and Engineering, 2024 - Elsevier
This review presents a state-of-the-art of geochemical, geomechanical, and hydrodynamic
modelling studies in the Underground Hydrogen Storage (UHS) domain. Geochemical …

Artificial intelligence-driven assessment of salt caverns for underground hydrogen storage in Poland

R Derakhshani, L Lankof, A GhasemiNejad… - Scientific Reports, 2024 - nature.com
This study explores the feasibility of utilizing bedded salt deposits as sites for underground
hydrogen storage. We introduce an innovative artificial intelligence framework that applies …

Artificial intelligence (AI)‐driven strategic business model innovations in small‐and medium‐sized enterprises. Insights on technological and strategic enablers for …

AS Shaik, SM Alshibani, G Jain… - … Strategy and the …, 2024 - Wiley Online Library
This study investigates the enhancement of technological and strategic enablers for carbon‐
neutral businesses (CNB) through artificial intelligence (AI)‐driven business model …

Integrating capacity and efficiency for optimal hydrogen storage site selection in saline aquifers

F Chen, B Chen, S Mao, M Malki, M Mehana - Energy & Fuels, 2024 - ACS Publications
Hydrogen (H2) energy is a promising transition pathway from conventional fossil fuels to
sustainable clean energy. However, H2 requires a large storage capacity because of its low …

Artificial intelligence enabled carbon capture: A review

AK Priya, B Devarajan, A Alagumalai, H Song - Science of The Total …, 2023 - Elsevier
Carbon capturing is imperative to fight climate change as much carbon emissions are
liberated into the atmosphere, leading to adversely negative environmental impacts. Today's …

Multi-objective optimization of WAG injection using machine learning and data-driven Proxy models

AO Bocoum, MR Rasaei - Applied Energy, 2023 - Elsevier
In complex optimization processes such as CO 2-water alternating gas (CO 2-WAG), several
iterative steps are needed before finding an optimal or sub-optimal set of solutions. This …

Investigation of wettability and IFT alteration during hydrogen storage using machine learning

M Maleki, MR Dehghani, A Akbari, Y Kazemzadeh… - Heliyon, 2024 - cell.com
Reducing the environmental impact caused by the production or use of carbon dioxide (CO
2) and other greenhouse gases (GHG) has recently attracted the attention of scientific …

Exploring hydrogen geologic storage in China for future energy: Opportunities and challenges

Z Du, Z Dai, Z Yang, C Zhan, W Chen, M Cao… - … and Sustainable Energy …, 2024 - Elsevier
Hydrogen, as a clean and efficient energy source, is important in achieving zero-CO 2
targets. This paper explores the potential of hydrogen geologic storage (HGS) in China for …

A comparative analysis of gas mixing during the underground hydrogen storage in a conventional and fractured reservoir

M Zamehrian, B Sedaee - Gas Science and Engineering, 2024 - Elsevier
Climate change and political tensions are reducing the time for the energy transition. Large-
scale underground hydrogen storage (UHS) can be crucial in future energy systems for …