| An improved k‐ ϵ model applied to a wind turbine wake in atmospheric turbulence MP Van Der Laan, NN Sørensen, PE Réthoré, J Mann, MC Kelly, ... Wind Energy 18 (5), 889-907, 2015 | 162 | 2015 |
| Consistent two-equation closure modelling for atmospheric research: buoyancy and vegetation implementations A Sogachev, M Kelly, MY Leclerc Boundary-layer meteorology 145 (2), 307-327, 2012 | 96 | 2012 |
| From wind to loads: wind turbine site-specific load estimation with surrogate models trained on high-fidelity load databases N Dimitrov, MC Kelly, A Vignaroli, J Berg Wind Energy Science 3 (2), 767-790, 2018 | 88 | 2018 |
| The k‐ϵ‐fP model applied to wind farms MP van der Laan, NN Sørensen, PE Réthoré, J Mann, MC Kelly, ... Wind Energy 18 (12), 2065-2084, 2015 | 88 | 2015 |
| An experimental and numerical study of the atmospheric stability impact on wind turbine wakes E Machefaux, GC Larsen, T Koblitz, N Troldborg, MC Kelly, A Chougule, ... Wind Energy 19 (10), 1785-1805, 2016 | 85 | 2016 |
| Model of wind shear conditional on turbulence and its impact on wind turbine loads N Dimitrov, A Natarajan, M Kelly Wind Energy 18 (11), 1917-1931, 2015 | 81 | 2015 |
| Power curve and wake analyses of the Vestas multi-rotor demonstrator MP van der Laan, SJ Andersen, N Ramos García, N Angelou, GR Pirrung, ... Wind Energy Science 4 (2), 251-271, 2019 | 77 | 2019 |
| Long-term mean wind profiles based on similarity theory M Kelly, SE Gryning Boundary-layer meteorology 136 (3), 377-390, 2010 | 68 | 2010 |
| Improved offshore wind resource assessment in global climate stabilization scenarios D Arent, P Sullivan, D Heimiller, A Lopez, K Eurek, J Badger, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2012 | 62 | 2012 |
| Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain J Yan, C Möhrlen, T Göçmen, M Kelly, A Wessel, G Giebel Renewable and Sustainable Energy Reviews 165, 112519, 2022 | 59 | 2022 |
| Mesoscale modeling for the Wind Atlas of South Africa (WASA) project AN Hahmann, C Lennard, J Badger, CL Vincent, MC Kelly, PJH Volker, ... DTU Wind Energy, 2015 | 54 | 2015 |
| Probabilistic meteorological characterization for turbine loads M Kelly, G Larsen, NK Dimitrov, A Natarajan Journal of Physics: Conference Series 524 (1), 012076, 2014 | 54 | 2014 |
| A new k‐epsilon model consistent with Monin–Obukhov similarity theory MP van der Laan, MC Kelly, NN Sørensen Wind Energy 20 (3), 479-489, 2017 | 43 | 2017 |
| Effects of wind turbine wake on atmospheric sound propagation E Barlas, WJ Zhu, WZ Shen, M Kelly, SJ Andersen Applied Acoustics 122, 51-61, 2017 | 41 | 2017 |
| Modeling atmospheric turbulence via rapid distortion theory: Spectral tensor of velocity and buoyancy A Chougule, J Mann, M Kelly, GC Larsen Journal of the Atmospheric Sciences 74 (4), 949-974, 2017 | 34 | 2017 |
| Weibull-k revisited:“tall” profiles and height variation of wind statistics M Kelly, I Troen, HE Jørgensen Boundary-layer meteorology 152 (1), 107-124, 2014 | 34 | 2014 |
| The Global Wind Atlas: A high-resolution dataset of climatologies and associated web-based application NN Davis, J Badger, AN Hahmann, BO Hansen, NG Mortensen, M Kelly, ... Bulletin of the American Meteorological Society 104 (8), E1507-E1525, 2023 | 32 | 2023 |
| Extreme wind fluctuations: joint statistics, extreme turbulence, and impact on wind turbine loads Á Hannesdóttir, M Kelly, N Dimitrov Wind Energy Science 4 (2), 325-342, 2019 | 31 | 2019 |
| Comparison of OpenFOAM and EllipSys3D for neutral atmospheric flow over complex terrain D Cavar, PE Réthoré, A Bechmann, NN Sørensen, B Martinez, F Zahle, ... Wind Energy Science 1 (1), 55-70, 2016 | 31 | 2016 |
| From standard wind measurements to spectral characterization: turbulence length scale and distribution M Kelly Wind Energy Science 3 (2), 533-543, 2018 | 29 | 2018 |
Jakob MannProfessor of Wind Energy and Atmospheric Turbulence, Risø, Danish Technical UniversityDirección de correo verificada de dtu.dk
