Large-Scale Setpoint Tracking Controller for Co-regulation of Electric Vehicle Charging Stations: Coordinating Charging with Energy Market Dynamics

This research explores the feasibility of building a large-scale setpoint tracking controller for the co-regulation of Electric Vehicle (EV) charging stations, aiming to coordinate charging with energy market dynamics and minimize the error between a power setpoint and the aggregated consumption of charging stations while capitalizing on...

Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine learning results

Designing high-rise buildings is one of the complex tasks of architecture because it involves interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable high-rise buildings has increased owing to the demand for metropolises based on population growth and urbanisation trends. Although artificial intelligence (AI)...

Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 2: Optimisation problems, algorithms, results, and method validation

High-rise building optimisation is becoming increasingly relevant owing to global population growth and urbanisation trends. Previous studies have demonstrated the potential of high-rise optimisation but have been focused on the use of the parameters of single floors for the entire design; thus, the differences related to the impact of the dense...

The optimization of Ice-Worlds' wooden boarding system for recreational ice rinks

Ice skating is (still) very popular in the Netherlands, and it is gaining popularity across the globe. Temporary ice rinks on squares and in parks is an increasing solution in order to attract visitors in the winter and holiday season. Ice-World International, the world leader in temporary ice rinks since 1992, has experienced a significant...