TY - GEN
T1 - Incorporating realistic geophysical effects of mean wind from LIDAR measurements in large eddy simulation of wind turbine arrays
AU - Chatterjee, Tanmoy
AU - Cherukuru, Nihanth Wagmi
AU - Peet, Yulia
AU - Calhoun, Ronald
N1 - Funding Information:
The authors would like to acknowledge the support of NSF-CBET 13358568 grant for the present work.
Publisher Copyright:
© 2017 by the American Institute of Aeronautics and Astronautics, Inc.
PY - 2017
Y1 - 2017
N2 - The present paper aims at performing Large Eddy Simulation of a 3 × 3 wind turbine array in atmospheric boundary layer, by incorporating realistic large scale geophysical effects, such as the variation in mean wind flux (gusts) and wind direction (wind veer) from the data obtained by field measurements. The purpose of this study is to understand the effect of realistic winds on turbulence and wake interactions, and also on the power generated by the wind turbines. The wind turbines are modelled using a state-of-the- art reduced order actuator line (AL) model, which is computationally more efficient than resolving the blades of the turbine. The inflow conditions are generated by spectrally interpolating the data from a precursor Atmospheric Boundary Layer (ABL) simulation and incorporating the geophysical effects obtained from LIDAR scans to adjust the wind flux and wind direction from the precursor simulations, as appropriate. Additionally, we also present a comparison of the above approach with an LES performed with a standard turbulent inflow to further understand the influence of the geophysical effects on large-scale coherence and subsequently on wind power. Furthermore, the knowledge of the influence of geophysical effects in a long term is expected to improve decision making capabilities in wind farm optimization algorithms and contribute to the design and validation of data assimilation algorithms.
AB - The present paper aims at performing Large Eddy Simulation of a 3 × 3 wind turbine array in atmospheric boundary layer, by incorporating realistic large scale geophysical effects, such as the variation in mean wind flux (gusts) and wind direction (wind veer) from the data obtained by field measurements. The purpose of this study is to understand the effect of realistic winds on turbulence and wake interactions, and also on the power generated by the wind turbines. The wind turbines are modelled using a state-of-the- art reduced order actuator line (AL) model, which is computationally more efficient than resolving the blades of the turbine. The inflow conditions are generated by spectrally interpolating the data from a precursor Atmospheric Boundary Layer (ABL) simulation and incorporating the geophysical effects obtained from LIDAR scans to adjust the wind flux and wind direction from the precursor simulations, as appropriate. Additionally, we also present a comparison of the above approach with an LES performed with a standard turbulent inflow to further understand the influence of the geophysical effects on large-scale coherence and subsequently on wind power. Furthermore, the knowledge of the influence of geophysical effects in a long term is expected to improve decision making capabilities in wind farm optimization algorithms and contribute to the design and validation of data assimilation algorithms.
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U2 - 10.2514/6.2017-1165
DO - 10.2514/6.2017-1165
M3 - Conference contribution
AN - SCOPUS:85088063601
SN - 9781624104565
T3 - 35th Wind Energy Symposium, 2017
BT - 35th Wind Energy Symposium, 2017
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - 35th Wind Energy Symposium, 2017
Y2 - 9 January 2017 through 13 January 2017
ER -