This review explores hydrogen storage technologies and their challenges, highlighting machine learning's role in optimization.
Key Points
The aim is to review surface hydrogen storage technologies and their practical integration while assessing challenges and machine learning applications.
Reviewed various hydrogen storage technologies including metal hydrides, MOFs, LOHCs, and more.
Conducted comparative analysis on Technology Readiness Levels of different storage systems.
Highlighted practical integration and techno-economic assessment of technologies.
LOHCs and hydrides show the highest Technology Readiness Level.
MOFs and carbohydrate-based systems demonstrate high gravimetric potential but are currently expensive.
Challenges include thermal management and large-scale regeneration for deployment.