TY - GEN
T1 - Spectra and large eddy structures in the double log-layer of a high re wind turbine array boundary layer
AU - Chatterjee, Tanmoy
AU - Peet, Yulia
N1 - Publisher Copyright:
Copyright © 2016 by ASME and Solar Turbines Incorporated.
PY - 2016
Y1 - 2016
N2 - Wind Turbine Array Boundary Layer (WTABL) is a relatively simple, yet useful theoretical conceptualization to study very large wind farms in atmospheric boundary layer (ABL). In the current paper, we perform a high-fidelity LES investigation of a 3 3 wind turbine array in a WTABL framework, with a main focus on extending the work beyond the simple analytical model and providing a rigorous fundamental understanding of the dynamic behaviour of length scales, their scaling laws and the anisotropic structure of the energy containing eddies responsible for power generation from the wind turbines. This is accomplished by studying the components of energy and shear-stress spectra in the flow. This knowledge can potentially provide an efficient way to control the wind farm power output as well as serve as a stepping stone to design efficient low order numerical models for predicting farm power and dynamics at reduced computational expense.
AB - Wind Turbine Array Boundary Layer (WTABL) is a relatively simple, yet useful theoretical conceptualization to study very large wind farms in atmospheric boundary layer (ABL). In the current paper, we perform a high-fidelity LES investigation of a 3 3 wind turbine array in a WTABL framework, with a main focus on extending the work beyond the simple analytical model and providing a rigorous fundamental understanding of the dynamic behaviour of length scales, their scaling laws and the anisotropic structure of the energy containing eddies responsible for power generation from the wind turbines. This is accomplished by studying the components of energy and shear-stress spectra in the flow. This knowledge can potentially provide an efficient way to control the wind farm power output as well as serve as a stepping stone to design efficient low order numerical models for predicting farm power and dynamics at reduced computational expense.
UR - http://www.scopus.com/inward/record.url?scp=84991320871&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991320871&partnerID=8YFLogxK
U2 - 10.1115/GT2016-56359
DO - 10.1115/GT2016-56359
M3 - Conference contribution
AN - SCOPUS:84991320871
T3 - Proceedings of the ASME Turbo Expo
BT - Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, GT 2016
Y2 - 13 June 2016 through 17 June 2016
ER -