Projects
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Black-box model based predictive control of ground coupled heat-pump systems. KU Leuven
Ground coupled heat pumps (GCHP) are among the most efficient solutions for heating/cooling of office buildings. Model based predictive control (MPC) allows to optimize the system operation with respect to maximal thermal comfort and minimal energy use, taking into account the system constraints. The MPC concept has already been worked out for the optimization of heat emission at the building side, using a time horiaon of one day. This project ...
Modeling of the tunnel field-effect transistor. KU Leuven
The nanowire-based tunnel field-effect transistor (tunnel-FET) is a promising candidate to replace the metal-oxide-semiconductor field-effect transistor. Due to the absence of a limit on the subthreshold swing, the tunnel-FET allows a reduction of the supply voltage below the 1 V plateau. The perspective of such a breakthrough results in a strong worldwide interest in the tunnel-FET. Despite the expanding research domain and out own important ...
Unsupervised and semi-supervised learning using kernel methods. KU Leuven
This research proposal is aimed at addressing key challenges and open problems in unsupervised and semi-supervised learning using kernel-based methods. The least squares support vector machine (LS-SVM)framework is considered as a core methodology. This family of kernel methods is cast in a constrained optimization setting. The primal problem is expressed in terms of high dimensional feature maps while the dual problem is expressed in terms of ...
Strategic Behaviour in Power Wholesale Electricity Markets: Design, Implementation & Validation of an Agent-based Simulation Platform KU Leuven
Liberalising the European electricity industry did not naturally produce its intended results. Network constraints, few dominant sellers in a relatively small market, complex market designs, price-inelastic consumers, reductions in generation capacity, unavailability of perfect information provided in real-time, and portfolio economics and technical characteristics induced the observed strategic gaming behaviour of generators.
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Data Driven MAthematical engineering tools for NETworks. KU Leuven
Electrical Engineering (ESAT), Kulak Kortrijk Campus, ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
The central objective of this proposal is the analysis, design and implementation of data-driven mathematical engineering methods and numerical algorithms for the analysis, modeling and optimization of networks, as well as network estimation, filtering, identification and control challenges. While inspired by concrete cases from several application areas, the focus of the research in this project, will be on tackling generic network problems ...
Dynamic Grid Support by Wind Farms: Potential of Rotating Kinetic Energy KU Leuven
Since the beginning of this century, Renewable Energy Sources for Electricity (RES-E) and mostly wind power have gained a huge momentum and arecontinuously triggering new stability challenges. The rising capacity of RES-E in the generation mix already poses challenges to current operation of power systems and subsequently sets the direction for new approaches to control them. This dissertation deals with operational problems, primarily arising ...
Coordination strategies for plug-in hybrid vehicles and decentralized generation in a Smart Grid. KU Leuven
Electric vehicles will play a key role in the electricity grid of the future. In recent years, the increase in the amount of electric vehicles is gaining momentum, as global environmental concerns are getting stronger, and automotive OEMs (Original Equipment Manufacturers) are preparing for mass-production. This vast increase of grid-connected vehicles offers opportunities to use electric vehicles as a large-scale distributed storage system. ...
Optimal Control of Traction Motor Drives under Electrothermal Constraints KU Leuven
Permanent magnet synchronous motor (PMSM) drives combine an interestingset of characteristics including a high efficiency, a high torque-per-ampere ratio and a wide speed operating range. This makes them particularly suitable for application in (hybrid) electric vehicles. Future requirements on electric traction drives are getting increasingly stringent. Areduction of cost, weight and volume is required, while an increase of efficiency, power ...