Below you find the complete list of Tier-1-projects since the start of the regular project application programme.

Anual energy production (AEP) estimates of Cabauw and Fino1 based on large-eddy simulations

Date: 01.12.2017
  • Promotor(s): Johan Meyers
  • Institution(s): KU Leuven
  • Domain(s): Technology
The New European Wind Atlas (NEWA) project aims to improve wind resource assessment at new or existing wind farm sites. In this context, the objective of the NEWA Meso-Micro Challenge is to test coupling methodologies for various sites and map accuracy versus cost for relevant quantities of interest, notably for annual energy production (AEP). The current project will perform large-eddy simulations to provide an AEP estimate and an accuracy versus cost figure at the high-fidelity end of the model range based on two different coupling strategies for both onshore and offshore locations. The computational challenge lies in the wide variety of flow regimes and the extensive time horizons required for AEP estimates.

Optimal dynamic induction and yaw control of wind farms in the atmospheric boundary layer

Date: 01.12.2017
  • Promotor(s): Johan Meyers
  • Institution(s): KU Leuven
  • Domain(s): Technology
In wind farms, complex aerodynamic interactions between neighboring turbines, as well as an interplay between the farm and the atmospheric boundary layer (ABL) play an important role in overall wind-farm performance. Current control strategies optimize individual performance at the turbine level and do not account for these interactions, resulting in sub-optimal farm efficiencies. Here, we aim to increase total wind-farm power output by controlling the turbines in a coordinated manner through deviations from locally optimal induction and yaw settings. The combination of large-eddy simulations with adjoint-based optimization allows to optimize the farm as a whole, accounting for all relevant interactions with the ABL.

Simulation of the Lillgrund offshore wind farm for loads analysis

Date: 01.12.2017
  • Promotor(s): Johan Meyers
  • Institution(s): KU Leuven
  • Domain(s): Technology
Wind turbines located in the interior of large wind farms often experience reduced wind speeds and increased turbulent intensities as they find themselves in the wake of an upstream turbine. This situation results in lower power output and increased turbine loading and fatigue. The associated flow behavior can be investigated with numerical simulations. In the current project, we perform simulations of a Danish offshore wind farm, i.e. Lillgrund, and compare the simulated power deficits and turbine loads with experimental observations and with a lower fidelity engineering model. This will allow validation and verification of the in-house simulation code while at the same time it will provide valuable insight into the wake effects on turbine fatigue.

Linking Protein Motion and Function: A Combined Molecular Dynamics and QM/MM Study

Date: 01.12.2017
  • Promotor(s): Eliot Boulanger
  • Institution(s): KU Leuven
  • Domain(s): Chemistry
Proteins are large biological molecules, and experiments can determine the average positions of the thousands of atoms making them up. However, this information - the structure of the protein - only tells us part of what we need to know to identify their biological roles. Here, using the forces acting on the atoms and Newton’s laws of motion, we will study the atoms' motions. Based on the resulting simulations, we will identify the main structural variants of the proteins (their conformations) and then calculate properties relevant to their function for each of the conformations by applying the laws of quantum mechanics to the electrons forming the chemical bonds of the relevant parts.

Optimization of long-read sequencing mapping to discover biomarkers for cancer immunotherapy

Date: 01.12.2017
  • Promotor(s): Diether Lambrechts
  • Institution(s): KU Leuven , VIB
  • Domain(s): Life sciences