Local energy transitions are promoted as means to achieve decarbonization, ensure democratic participation by local communities in energy decision-making, and foster social acceptance of renewable energy projects. However, despite the growing maturity of energy technologies and increased policy support, …

orecasting the thermal behavior of ?exible heating assets is essential for real-time energy management in heating systems. While thermal dynamics are complex, the optimization algorithms within EMS require low-order models with minimal computational load to make rapid, real-time decisions. To bridge …

The increasing penetration of renewable energy (RE) and hydrogen technologies is reshaping the operational requirements of modern decarbonised energy systems, necessitating advanced control strategies to coordinate renewable generation, hydrogen storage, and heterogeneous end‐use demands. This paper …

Biomethane is emerging as a key renewable gas in both mature and developing energy systems worldwide. Driven by climate-neutrality objectives, energy-security concerns, and rising waste-to-energy ambitions, global biomethane production is expected to expand rapidly in the coming decade. In Europe, this …

Dit rapport is deel I van twee delen waarin de veiligheidsnormen worden onderzocht die van toepassing zijn op waterstoftoepassingen. In deel I wordt ingegaan op de vraag welke normen hoofdzakelijk van toepassing zijn op waterstoftankstations, brandstofcel technologieën en (kleine) waterstof opslag die …

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) …

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 …

Power-to-X technologies play a crucial role in accelerating the energy and material transition. A key opportunity lies in integrating these systems with existing bio-based infrastructures such as anaerobic digesters, providing a reliable source of biogenic carbon. Developing effective Power-to-Methanol …

The transition towards a sustainable and competitive European economy requires new analytical and decision-support frameworks capable of integrating industrial innovation, environmental constraints, and policy governance. This concept note introduces a multi-level approach to understanding the role of …