Efficient hydrogen (H2) storage remains a major challenge for clean energy applications. This study presents an AI-driven methodology to optimize H2 storage in porous carbon adsorbents. A comprehensive dataset of 917 literature-derived entries was used to develop two machine learning models: Random Forest …

To broaden the application of biomethanation for energy storage and renewable integration, this study investigates the performance of a trickle-bed reactor (TBR) for hydrogen (H2) utilisation in biogas upgrading, using both pure Carbon dioxide (CO2) and biogas-derived CO2 as substrates for methane (CH4) …

"This expert article presents a comprehensive hydrogen training system that effectively bridges the gap between theoretical classroom knowledge and real-world industrial applications. The system integrates a PEM electrolyzer, hydrogen storage unit, fuel cell, and advanced PLC-based control platform to …

Renewable energy systems are a crucial technological development needed to combat climate change. This thesis covers the design and implementation of a mathematical optimization model, which calculates the lowest cost of hydrogen for certain renewable energy system configurations. The output of the model …

During a guest lecture at the Klaipeda University prof. dr. ir. J. Dam presented his findings on Cryogenic fuels in a top-down approach. The role of small scale LNG and H2 in Coupled Hybrid Energy Networks and LNG storage systems were also discussed.