Mark C. Kelly

Mark C. Kelly

Senior Researcher

DTU WIND ENERGY
Department of Wind Energy

DTU Vindenergi RAM

Technical University of Denmark

Frederiksborgvej 399 P.O. Box 49

Building 118, room Risø 125-modul 121

4000 Roskilde

Ph.
Mobile
Fax +45 46 77 50 83
E-mail mkel@dtu.dk
ORCID 0000-0003-2882-4450

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Keywords boundary-layer meteorology | CFD | large-eddy simulation | LES | probabilistic characterization | wind gusts | RANS | atmospheric thermodynamics | Synthetic turbulence | Air-sea interaction | WAsP Engineering | Wind profiles | Sea spray | Graduate education (MS and PhD) | Terrain characterization | Wind | Turbulence models | flow-modelling | mesoscale-microscale interaction | Spectral analysis | Micrometeorology | WAsP | complex terrain | Turbulence spectra | Atmospheric Turbulence | computational fluid dynamics | Uncertainty and sensitivity analysis | Atmospheric stability | Roughness

Research Interests / activity:

Atmospheric stability modeling. Theory and representation of buoyancy effects in Rapid-Distortion Theory (RDT), Large-eddy simulation (LES), Reynolds-Average Navier-Stokes (RANS), and mesoscale models; profile theory beyond the surface-layer; second-moment statisticalrelations for ABL fields.

Atmospheric turbulence/subgrid modelling. Representation of atmospheric turbulence and its multi-scale interaction with terrain, via LES, RANS, RDT, and quasi-linearized flow models.

Scale-dependent terrain characterization.  Terrain-induced drag; spectral and statistical representations; effective roughness; scale/resolution-dependent roughness.

Mesoscale-microscale interaction. Adapting mesoscale output to drive linear and nonlinear (LES/RANS) microscale models; mesoscale and microscale sub-grid parameterization of turbulent fluxes.

Probabilistic meteorological characterization.  Statistical representation of observed and sampled fields and reduced normalized representations, for generalizable application in e.g. wind energy.

Air-sea interaction and marine boundary layer.  Effect of ocean waves on turbulent atmospheric fluxes; modeling it in microscale (e.g. large-eddy simulation [LES]) and mesoscale codes.  Phase change and sea spray.

Long-range noise propagation from wind turbines. Stability and terrain effects on propagation of turbine noise.