Wind turbine wake models developed at the technical university of Denmark: A review T Göçmen, P Van der Laan, PE Réthoré, AP Diaz, GC Larsen, S Ott Renewable and Sustainable Energy Reviews 60, 752-769, 2016 | 357 | 2016 |
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 | 173 | 2015 |
On the application of the Jensen wake model using a turbulence‐dependent wake decay coefficient: the Sexbierum case A Peña, PE Réthoré, MP van der Laan Wind Energy 19 (4), 763-776, 2016 | 132 | 2016 |
Verification and validation of an actuator disc model PE Réthoré, P van der Laan, N Troldborg, F Zahle, NN Sørensen Wind Energy 17 (6), 919-937, 2014 | 107 | 2014 |
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 | 94 | 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 | 81 | 2019 |
Multimodel validation of single wakes in neutral and stratified atmospheric conditions P Doubrawa, EW Quon, LA Martinez‐Tossas, K Shaler, M Debnath, ... Wind Energy 23 (11), 2027-2055, 2020 | 79 | 2020 |
Why the Coriolis force turns a wind farm wake clockwise in the Northern Hemisphere MP van der Laan, NN Sørensen Wind Energy Science 2 (1), 285-294, 2017 | 64 | 2017 |
Predicting wind farm wake interaction with RANS: an investigation of the Coriolis force MP Van der Laan, KS Hansen, NN Sørensen, PE Réthoré Journal of Physics: Conference Series 625 (1), 012026, 2015 | 52 | 2015 |
CFD simulations of flows in a wind farm in complex terrain and comparisons to measurements M Sessarego, WZ Shen, MP Van der Laan, KS Hansen, WJ Zhu Applied Sciences 8 (5), 788, 2018 | 45 | 2018 |
Simulation of wake effects between two wind farms KS Hansen, PE Réthoré, J Palma, BG Hevia, J Prospathopoulos, A Peña, ... Journal of Physics: Conference Series 625 (1), 012008, 2015 | 45 | 2015 |
DTUWindEnergy/PyWake: PyWake MM Pedersen, P Van Der Laan, M Friis-Møller, J Rinker, PE Réthoré Zenodo [code] 10, 470, 2019 | 44 | 2019 |
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 | 44 | 2017 |
Observed and modeled near-wake flow behind a solitary tree E Dellwik, MP van der Laan, N Angelou, J Mann, A Sogachev Agricultural and Forest Meteorology 265, 78-87, 2019 | 38 | 2019 |
On wake modeling, wind-farm gradients, and AEP predictions at the Anholt wind farm A Peña, K Schaldemose Hansen, S Ott, MP van der Laan Wind Energy Science 3 (1), 191-202, 2018 | 35 | 2018 |
A consistent method for finite volume discretization of body forces on collocated grids applied to flow through an actuator disk N Troldborg, NN Sørensen, PE Réthoré, MP van der Laan Computers & Fluids 119, 197-203, 2015 | 34 | 2015 |
Comparing and validating intra-farm and farm-to-farm wakes across different mesoscale and high-resolution wake models J Fischereit, K Schaldemose Hansen, XG Larsén, MP van der Laan, ... Wind Energy Science 7 (3), 1069-1091, 2022 | 32 | 2022 |
Improved energy production of multi-rotor wind farms MP van der Laan, M Abkar Journal of Physics: Conference Series 1256 (1), 012011, 2019 | 30 | 2019 |
The turbulence scales of a wind turbine wake: A revisit of extended k-epsilon models MP Van Der Laan, SJ Andersen Journal of Physics: Conference Series 1037 (7), 072001, 2018 | 27 | 2018 |
Rossby number similarity of an atmospheric RANS model using limited-length-scale turbulence closures extended to unstable stratification MP van der Laan, M Kelly, R Floors, A Peña Wind Energy Science 5 (1), 355-374, 2020 | 26 | 2020 |