TY - JOUR
T1 - A Detached-Eddy-Simulation study
T2 - 15th Deep Sea Offshore Wind R and D Conference, EERA DeepWind 2018
AU - Göing, J.
AU - Bartl, J.
AU - Mühle, F.
AU - Sætran, L.
AU - Thamsen, P. U.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/11/6
Y1 - 2018/11/6
N2 - In times of intense renewable energy development, the planning of wind farms and the improvement of their total efficiency has become a major field of research. A precise analysis of the velocity deficit, fluctuation load and the wake properties behind a turbine is essential to identify the optimal positioning and control of a wind farm cluster. Due to the increasing computer performance, numerical models have become an important tool for the precise analysis of the turbulent wake flow and for the optimization of the positioning of the turbine in a wind farm. In this study the wake characteristics are calculated with a Delayed-Detached-Eddy-Simulation (DDES) using a sliding mesh technique. The simulation is based on a 3D model wind turbine with a diameter of 0.89 m and a test area which corresponds to the wind tunnel geometry at the Department of Energy and Process Engineering at NTNU. A validation of DDES with an experimental Laser-Doppler-Anemometry (LDA) matches well with the results of the simulation. Furthermore, the coherent motions of vortex shedding in the near wake are detected with the Proper-Orthogonal-Decomposition (POD) technique while the significant frequencies are detected with a Power-Spectral-Density (PSD). These quantities describe the transition from coherent to turbulent motions in the wake and explain the influence of the downstream flow in detail. The investigation shows that the DDES computations are able to accurately predict the mean and turbulent wake flow behind a model wind turbine.
AB - In times of intense renewable energy development, the planning of wind farms and the improvement of their total efficiency has become a major field of research. A precise analysis of the velocity deficit, fluctuation load and the wake properties behind a turbine is essential to identify the optimal positioning and control of a wind farm cluster. Due to the increasing computer performance, numerical models have become an important tool for the precise analysis of the turbulent wake flow and for the optimization of the positioning of the turbine in a wind farm. In this study the wake characteristics are calculated with a Delayed-Detached-Eddy-Simulation (DDES) using a sliding mesh technique. The simulation is based on a 3D model wind turbine with a diameter of 0.89 m and a test area which corresponds to the wind tunnel geometry at the Department of Energy and Process Engineering at NTNU. A validation of DDES with an experimental Laser-Doppler-Anemometry (LDA) matches well with the results of the simulation. Furthermore, the coherent motions of vortex shedding in the near wake are detected with the Proper-Orthogonal-Decomposition (POD) technique while the significant frequencies are detected with a Power-Spectral-Density (PSD). These quantities describe the transition from coherent to turbulent motions in the wake and explain the influence of the downstream flow in detail. The investigation shows that the DDES computations are able to accurately predict the mean and turbulent wake flow behind a model wind turbine.
UR - http://www.scopus.com/inward/record.url?scp=85057870930&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1104/1/012005
DO - 10.1088/1742-6596/1104/1/012005
M3 - Conference article
AN - SCOPUS:85057870930
SN - 1742-6588
VL - 1104
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012005
Y2 - 17 January 2018 through 19 January 2018
ER -
