| Wind turbine aerodynamics and vorticity-based methods: Fundamentals and recent applications E Branlard Springer, 2017 | 170 | 2017 |
| 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 | 81 | 2020 |
| Cylindrical vortex wake model: right cylinder E Branlard, M Gaunaa Wind Energy 18 (11), 1973-1987, 2015 | 74 | 2015 |
| Assessing the blockage effect of wind turbines and wind farms using an analytical vortex model E Branlard, AR Meyer Forsting Wind Energy 23 (11), 2068-2086, 2020 | 56 | 2020 |
| Retrieving wind statistics from average spectrum of continuous-wave lidar E Branlard, AT Pedersen, J Mann, N Angelou, A Fischer, T Mikkelsen, ... Atmospheric Measurement Techniques 6 (7), 1673-1683, 2013 | 47 | 2013 |
| OC6 project Phase III: validation of the aerodynamic loading on a wind turbine rotor undergoing large motion caused by a floating support structure R Bergua, A Robertson, J Jonkman, E Branlard, A Fontanella, M Belloli, ... Wind energy science 8 (4), 465-485, 2023 | 42 | 2023 |
| Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations E Branlard, D Giardina, CSD Brown Wind Energy Science 5 (3), 1155-1167, 2020 | 41 | 2020 |
| Wind energy: On the statistics of gusts and their propagation through a wind farm E Branlard ECN Wind Memo 7, 5-9, 2009 | 41 | 2009 |
| Development of new tip-loss corrections based on vortex theory and vortex methods E Branlard, M Gaunaa Journal of Physics: Conference Series 555 (1), 012012, 2014 | 40 | 2014 |
| Wind farm blockage effects: comparison of different engineering models E Branlard, E Quon, ARM Forsting, J King, P Moriarty Journal of Physics: Conference Series 1618 (6), 062036, 2020 | 38 | 2020 |
| Benchmarks for model validation based on lidar wake measurements P Doubrawa, M Debnath, PJ Moriarty, E Branlard, TG Herges, DC Maniaci, ... Journal of Physics: Conference Series 1256 (1), 012024, 2019 | 35 | 2019 |
| Aeroelastic large eddy simulations using vortex methods: unfrozen turbulent and sheared inflow E Branlard, G Papadakis, M Gaunaa, G Winckelmans, TJ Larsen Journal of Physics: Conference Series 625 (1), 012019, 2015 | 34 | 2015 |
| Vortex methods to answer the need for improved understanding and modelling of tip‐loss factors E Branlard, K Dixon, M Gaunaa IET Renewable Power Generation 7 (4), 311-320, 2013 | 34 | 2013 |
| Superposition of vortex cylinders for steady and unsteady simulation of rotors of finite tip‐speed ratio E Branlard, M Gaunaa Wind Energy 19 (7), 1307-1323, 2016 | 30 | 2016 |
| OLAF User's Guide and Theory Manual K Shaler, E Branlard, A Platt National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020 | 28 | 2020 |
| Wind turbine tip-loss corrections: Review, implementation and investigation of new models E Branlard Master's thesis, 2011 | 28 | 2011 |
| Wind turbine tip-loss corrections E Branlard Technical University of Denmark. 185, 2011 | 28 | 2011 |
| Progress in validation of rotor aerodynamic codes using field data K Boorsma, G Schepers, H Aagard Madsen, G Pirrung, N Sørensen, ... Wind Energy Science Discussions 2022, 1-31, 2022 | 26 | 2022 |
| A digital twin based on OpenFAST linearizations for real-time load and fatigue estimation of land-based turbines E Branlard, J Jonkman, S Dana, P Doubrawa Journal of Physics: Conference Series 1618 (2), 022030, 2020 | 25 | 2020 |
| Cylindrical vortex wake model: skewed cylinder, application to yawed or tilted rotors E Branlard, M Gaunaa Wind Energy 19 (2), 345-358, 2016 | 25 | 2016 |
Jason JonkmanNational Renewable Energy LaboratoryPotvrđena adresa e-pošte na nrel.gov
