This paper evaluates the potential impacts of introducing low-carbon intensity hydrogen technologies in two oil refineries with different complexity levels, emphasizing the role of hydrogen production in reducing CO2 emissions. The novelty of this work lies in three key aspects: Comprehensive system …

Intreerede bijzonder lector Shima Mousavi Gargari op 14 november 2024

Emerging technologies like artificial intelligence and augmented/virtual reality come with many ethical and societal questions. In order to develop applications based on these technologies responsibly, businesses, governments and knowledge institutions are increasingly working together, and sometimes …

This paper explores how so-called ‘Web3’ blockchain projects are materially and socially constituted. A blockchain is an append-only distributed database. The technology is being hyped as applicable for a whole range of industries, social service provisions, and as a fix for economic disparities in communities …

Sinds de zomer heeft het Lectoraat Balanced Energy Systems een nieuwe lector in de persoon van Sadegh Seddighi. SAM, het journalistiek podium van de HAN maakte kennis met hem en sprak hem over zijn ambities en drijfveren als lector vanuit de HAN University of Applied Sciences.

The Brains4Buildings project aims to develop methods to design new smart building climate management systems that, among other things, reduce energy consumption, increase comfort and respond flexibly to user behavior. We set out to develop design guidelines to help B4B stakeholders when designing innovative …

Positive Energy Districts (PEDs) are a promising approach to urban energy transformation, aiming to optimize local energy systems and deliver environmental, social and economic benefits. However, their effectiveness and justification for investment rely on understanding the additional value they provide …

The energy community movement has grown considerably over the past ten years. Energy communities are also expanding their activities. However, room for new energy projects is limited because of grid congestion. Therefore, citizen energy communities (CECs) are looking for ways to reduce the pressure on …

overzicht van kennisachtergronden van Smart Energy Hubs en definities.

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. …