| Consistent modelling of wind turbine noise propagation from source to receiver E Barlas, WJ Zhu, WZ Shen, KO Dag, P Moriarty The Journal of the Acoustical Society of America 142 (5), 3297-3310, 2017 | 57 | 2017 |
| Wind turbine noise generation and propagation modeling at DTU Wind Energy: A review WJ Zhu, WZ Shen, E Barlas, F Bertagnolio, JN Sørensen Renewable and Sustainable Energy Reviews 88, 133-150, 2018 | 46 | 2018 |
| Roughness effects on wind-turbine wake dynamics in a boundary-layer wind tunnel E Barlas, S Buckingham, J van Beeck Boundary-Layer Meteorology 158, 27-42, 2016 | 43 | 2016 |
| 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 |
| Advanced flow and noise simulation method for wind farm assessment in complex terrain WZ Shen, WJ Zhu, E Barlas, Y Li Renewable energy 143, 1812-1825, 2019 | 26 | 2019 |
| Wind farm layout optimization with load constraints using surrogate modelling R Riva, J Liew, M Friis-Møller, N Dimitrov, E Barlas, PE Réthoré, ... Journal of Physics: Conference Series 1618 (4), 042035, 2020 | 23 | 2020 |
| Wind turbine noise propagation modelling: An unsteady approach E Barlas, WJ Zhu, WZ Shen, SJ Andersen Journal of Physics: Conference Series 753 (2), 022003, 2016 | 12 | 2016 |
| Variability of wind turbine noise over a diurnal cycle E Barlas, KL Wu, WJ Zhu, F Porté-Agel, WZ Shen Renewable energy 126, 791-800, 2018 | 11 | 2018 |
| Statistical prediction of far-field wind-turbine noise, with probabilistic characterization of atmospheric stability M Kelly, E Barlas, A Sogachev Journal of Renewable and Sustainable Energy 10 (1), 2018 | 7 | 2018 |
| Development of an efficient numerical method for wind turbine flow, sound generation, and propagation under multi-wake conditions Z Sun, WJ Zhu, WZ Shen, E Barlas, JN Sørensen, J Cao, H Yang Applied Sciences 9 (1), 100, 2018 | 5 | 2018 |
| Development of an advanced noise propagation model for noise optimization in wind farm E Barlas | 5 | 2017 |
| An integrated numerical method for wind turbine flow simulation, sound generation and propagation WJ Zhu, J Cao, E Barlas, WZ Shen, L Zhang, Z Sun, H Yang, H Xu Journal of Physics: Conference Series 1037 (2), 022002, 2018 | 3 | 2018 |
| Theory for spectral broadening of narrowband signals in the atmosphere and experiment with an acoustic source onboard an unmanned aerial vehicle VE Ostashev, DK Wilson, A Finn, E Barlas The Journal of the Acoustical Society of America 145 (6), 3703-3714, 2019 | 2 | 2019 |
| Wind turbine noise propagation in flat terrain for wind farm layout optimization frameworks M Sessarego, WZ Shen, E Barlas 8th International Conference on Wind Turbine Noise, 2019 | 2 | 2019 |
| Spectral broadening of acoustic tones generated by unmanned aerial vehicles in a turbulent atmosphere VE Ostashev, DK Wilson, A Finn, K Rogers, E Barlas The Journal of the Acoustical Society of America 140 (4_Supplement), 3119-3119, 2016 | 2 | 2016 |
| Offshore and onshore wind turbine wake meandering studied in an ABL wind tunnel E Barlas, S Buckingham, G Glabeke, J van Beeck International Workshop on Physical Modeling of Flow and Dispersion Phenomena, 2015 | 2 | 2015 |
| A correction method for large deflections of cantilever beams with a modal approach O Gözcü, E Barlas, S Dou Wind Energy Science 8 (1), 109-124, 2023 | | 2023 |
| Wind farm noise prediction method, apparatus and system E Barlas, YU Mengting US Patent 11,268,495, 2022 | | 2022 |
| Cross-Cutting Activities 2016 on Wind Turbine Noise, Summary Report F Bertagnolio, HA Madsen, A Fischer, M Kelly, WZ Shen, TK Mikkelsen, ... | | 2017 |
| Development of a Pseudo-Spectral 3D Navier Stokes Solver for Wind Turbine Wakes E Barlas | | 2013 |
