Emre Barlas
Emre Barlas
Verified email at dtu.dk
Title
Cited by
Cited by
Year
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
182018
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
182017
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
182017
Roughness effects on wind-turbine wake dynamics in a boundary-layer wind tunnel
E Barlas, S Buckingham, J van Beeck
Boundary-Layer Meteorology 158 (1), 27-42, 2016
172016
Wind turbine noise propagation modelling: An unsteady approach
E Barlas, WJ Zhu, WZ Shen, SJ Andersen
Journal of Physics: Conference Series 753, 022003, 2016
92016
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
62018
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), 013302, 2018
32018
Development of an advanced noise propagation model for noise optimization in wind farm
E Barlas
32017
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
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
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, 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
The Journal of the Acoustical Society of America 140 (4), 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
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 (Online) 1037 (2), 022002, 2018
12018
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
2019
Cross-Cutting Activities 2016 on Wind Turbine Noise, Summary Report
F Bertagnolio, HA Madsen, A Fischer, M Kelly, WZ Shen, TK Mikkelsen, ...
2017
Resource Documents—latest additions
K Dai, A Bergot, C Liang, WN Xoang, Z Huang
Renewable Energy 75, 911-921, 2015
2015
Development of a Pseudo-Spectral 3D Navier Stokes Solver for Wind Turbine Wakes
E Barlas
2013
Vibrational Displacement Analysis for High Rise Buildings in Low Speed Wind Tunnel with High Speed Camera
E Barlas
2012
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