Research programme
My group's research connects three programme areas: wind-farm–atmosphere interaction, multiscale prediction and physical modelling, and turbulence simulation with high-performance computing. The first two address how wind farms operate in and influence a changing atmosphere. Canonical thermal and wall-bounded flows provide controlled systems for isolating the underlying transport mechanisms and testing the numerical methods. A publication-led view is available on the research highlights page.
Wind-farm–atmosphere interaction
Large-eddy simulations resolve how turbine wakes, farm-scale flows, and atmospheric conditions interact across turbine-to-weather scales. This programme treats the atmospheric boundary layer as part of the wind-farm system rather than as a fixed inflow condition.
Wind-farm flow and wakes
High-fidelity LES of how wind-turbine wakes interact, merge, and recover inside large on- and offshore wind farms, and how farm-scale momentum supply governs power output.
Atmospheric and turbulent boundary layers
Structure and scaling of turbulent boundary layers, including the atmospheric boundary layer that supplies wind farms with momentum and energy.
Multiscale prediction and physical modelling
Reduced-order models connect wake dynamics, boundary-layer theory, and atmospheric forcing to make mechanistic predictions across more layouts and conditions than high-fidelity simulation alone can cover.
Physics-based wind-farm modelling
Analytical and reduced-order models, informed by LES, for predicting wind-farm performance and separating layout effects from farm-scale atmospheric response.
Turbulence simulation and high-performance computing
Direct numerical simulation of canonical flows isolates heat- and momentum-transport mechanisms and provides reference cases for numerical methods used in larger atmospheric and wind-farm calculations.
Canonical systems
Thermal convection
DNS and LES of Rayleigh-Bénard convection, the canonical system for studying buoyancy-driven turbulent heat transport.
Taylor-Couette and wall turbulence
Turbulent flow between differentially rotating cylinders, used as a closed wall-bounded analogue for studying momentum transport and drag.
Thermal-convection subtopics
High Rayleigh number convection
Extreme driving and the transition toward the ultimate transport regime.
Rotating Rayleigh-Bénard convection
Rotation-dependent heat transport and coherent flow organization.
Turbulent superstructures
Large-scale patterns in laterally extended thermal turbulence.
Sheared convection
Competition between imposed shear and buoyancy-driven transport.
Two-dimensional convection
A reduced testbed for transport scaling and flow-state transitions.
Computational method and software
AFiD
Open-source, high-performance DNS software for Rayleigh-Bénard convection, Taylor-Couette flow, channel flow, and plane Couette flow.
Documented contributions and external evidence
Scientific contributions and external evidence are shown separately. The links below document the source of each evidence claim; they are not a ranking of the research areas.
Wind-farm–atmosphere interaction
Scientific contribution
Connecting turbine-wake mechanics to farm-scale momentum supply and atmospheric response, with a synthesis across scales in the Annual Review of Fluid Mechanics.
Documented external evidence
- European Commission CORDIS records WINDFLOW as an ERC-funded University of Twente project running from May 2024 to April 2029.
- The Annual Review article synthesizes turbine wakes, wind-farm boundary layers, and atmospheric coupling across scales.
Multiscale prediction and physical modelling
Scientific contribution
Separating turbine-scale losses from farm-scale atmospheric response and testing how physical interventions change those coupled balances.
Documented external evidence
- Cambridge University Press classifies Understanding wind-farm power densities as a Journal of Fluid Mechanics Focus on Fluids article.
- Physical Review Fluids marks the windbreak study as an Editors’ Suggestion; it also received APS Physics coverage.
Turbulence simulation and high-performance computing
Scientific contribution
Using canonical direct numerical simulations and scalable solvers to isolate heat- and momentum-transport mechanisms under controlled conditions.
Documented external evidence
- The AFiD CPU and GPU implementations are public, with peer-reviewed descriptions of the numerical method and GPU implementation.
- The University of Twente records a 2018 ERC Starting Grant for research on highly turbulent Rayleigh-Bénard convection.
Evidence boundary. These sources document competitive funding, reviewed synthesis, journal classification or distinction, and public software availability. They do not establish independent downstream adoption or field-wide influence, so no such claim is made here.