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 …

European food supply chains have seen structural changes regarding cost, energy, labour, and sustainability regulations. This has forced food processors to reassess the drivers of logistics outsourcing and rethink their strategies. In this exploratory multiple-case study, we investigated six large food …

Het NO-GIZMOS-project heeft aangetoond dat gedecentraliseerde energiebronnen in het laagspanningsnet congestieproblemen op middenspanningsniveau (MV) effectief kunnen oplossen. Onze pilot in Ansen heeft aangetoond dat een gemeenschapsgebaseerde en algoritmisch aangestuurde virtuele energiecentrale, bestaande …

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 …

Methane, the primary component of natural gas, emits less carbon dioxide than other petroleum-based fuels but faces challenges in efficient storage and transportation. Advanced adsorption materials provide a safe and cost-effective solution, with metal–organic frameworks (MOFs) emerging as promising …

Forecasting the thermal behavior of flexible heating assets is essential for real-time energy management in heating systems. While thermal dynamics are complex, the optimization algorithms within energy management systems (EMS) require low-order models with minimal computational load to make rapid, real-time …

This paper presents a case study where a model predictive control (MPC) logic is developed for energy flexible operation of a space heating system in an educational building. A Long Short-Term Memory Neural Network (LSTM) surrogate model is trained on the output of an EnergyPlus building simulation model. …

With a low-/no-emission zone coming into effect in Amsterdam city centre, Albert Heijn must switch to electric delivery vans to if it is to continue its grocery delivery service to customers’ doors. Albert Heijn intends to scale up to 750 delivery vans in the 4 large cities in the coming years [1], meaning …

The Dutch national CO2 emission targets for heritage buildings are a 60% reduction by 2040. However, holistic insights on the impact of this reduction on heritage values, energy performance, and CO2 emissions are understudied. In this article, the impact in four heritage buildings by comparing the situation …

Traditional non-linear models offer Dutch municipalities limited insight into the social behaviour of local stakeholders, even though this behaviour largely determines the success of policies in complex sociotechnical systems. This study addresses the following research question: “How can an agent-based …