Road markings play a crucial role in road safety by guiding traffic and ensuring visibility. As markings deteriorate over time, their effectiveness diminishes, necessitating timely maintenance. This paper studies two methods to classify road-marking damage from recorded images, in accordance with the …

This paper investigates smart charging strategies for battery-electric construction machinery (non-road mobile machinery, NRMM) through a case study of a large-scale housing project in The Hague, Netherlands. The study develops a methodology to estimate energy demands and simulate charging profiles during …

Hoe kan Digital Twin-technologie de Nederlandse maakindustrie helpen om efficiënt energiezuinig en circulair te werken? Met praktijkgericht onderzoek helpt het lectoraat Industriële Digital Twins van de Hogeschool van Amsterdam (HvA) bedrijven om CO2-neutraal te worden en daarmee internaal competitief …

Research into the impact of innovative sustainable energy experiments and demonstrations is crucial to diversifying, scaling up, and accelerating the sustainable energy transition. Although there is vast research into sustainable energy experiments and demonstrations, research literature offers a fragmented …

While the Municipality of Amsterdam wants to expand the electric vehicle public charging infrastructure to reach carbon-neutral objectives, the Distribution System Operator cannot allow new charging stations where low-voltage transformers are reaching their maximum capacity. To solve this situation, …

Een van de onderdelen van het TSDCE project, WP3, betreft het meten en een veldtest op locatie. Hierbij wordt in Amsterdam op locatie gemeten, waarbij het vooral gaat om de dynamiek van veranderingen in belasting (bij remmen en optrekken). Het is gelukt om het verloop van de spanning van de bovenleiding …

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 …

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. …