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Emre Barlas
Emre Barlas
Ørsted
在 orsted.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
582017
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
522018
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
432016
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
422017
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
272019
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
242020
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
122018
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
122016
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
82018
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
52018
Development of an advanced noise propagation model for noise optimization in wind farm
E Barlas
52017
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
32018
Wind farm noise prediction method, apparatus and system
E Barlas, YU Mengting
US Patent 11,268,495, 2022
22022
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
22019
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
22019
Spectral broadening of acoustic tones generated by unmanned aerial vehicles in a turbulent atmosphere
VE Ostashev, DK Wilson, A Finn, K Rogers, E Barlas
Journal of the Acoustical Society of America 140 (4_Supplement), 3119-3119, 2016
22016
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
22015
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
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
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