Mark Kelly has been working for two decades with boundary-layer meteorology, CFD, and statistics, applying these to wind resource assessment (WRA) since 2008. His works include universal forms of atmospheric stability distributions, and wind profiles accounting for such; relations connecting shear, stability, turbulence intensity, and turbulence length scales; turbulence parameterizations for RANS & LES; meteorological characterization for loads; top-down (capping inversion) effects; characterization of roughness and flow over complex terrain; uncertainty quantification for wind modelling and its inputs (e.g. WAsP, RANS, WRF), and for the entire WRA process. These are adapted to enginnering forms and use, per industrial needs.

Interests
  • Atmospheric Boundary Layer Turbulence
  • Probabilistic characterization, statistical similarity, and dimensional reduction
  • Uncertainty Quantification
Education
  • PhD in Meteorology (Large-eddy simulation of hurricane boundary layers with sea-spray and waves), 2007

    Penn State University

  • MSci in Physics (Sonic boom propagation through anisotropic turbulence), 1998

    University of Mississippi

Selected publications

Agustí Porta Ko, Mark Kelly, D. H. Nguyen, Espen Oland (2026). Enhanced Power Generation and Reliability of AWES Through Active Exploitation of Turbulence Eddies. 11th International Airborne Wind Energy Conference (AWEC 2026): Book of Abstracts

Cite DOI

Agustí Porta Ko, Mark Kelly, D. H. Nguyen, Espen Oland (2026). Using an Airborne Wind Energy System as a turbulence sensor. Wind Energy Science Discussions

Cite DOI

Mac Gaunaa, Ang Li, Michael McWilliam, Mark Kelly (2024). Lifting-Line Aerodynamics for Airborne Wind Energy on a Prescribed Path. 10th international Airborne Wind Energy Conference (AWEC 2024): Book of Abstracts

Cite URL

Mark Kelly, Mac Gaunaa, Michael McWilliam (2024). Towards Atmospheric Event-Driven Loads for Rigid AWES. 10th international Airborne Wind Energy Conference (AWEC 2024): Book of Abstracts

Cite URL

Mark Kelly, Michael McWilliam, Mac Gaunaa (2022). Towards Flow-Field Characterization for AWES. 9th international Airborne Wind Energy Conference (AWEC 2021): Book of Abstracts

Cite URL