TY - GEN
T1 - Wind turbines research at Los Alamos National Laboratory - Integrating experimental aerodynamics, sensing, structural mechanics and numerical simulations
AU - Balakumar, B. J.
AU - Ammerman, C.
AU - Pol, S.
AU - Linn, R.
AU - Koo, E.
AU - Ellis, G.
AU - Park, G.
AU - Farinholt, K.
AU - Alarcon, R. C.
PY - 2011
Y1 - 2011
N2 - In support of the Department of Energy's goal of achieving 20% wind energy by 2030, Los Alamos National Laboratory's Intelligent Wind Turbine (IWT) project has developed and applied novel diagnostics, supercomputing simulation tools, custom-built sensing platforms and detailed structural models to study wind turbine reliability. These leaps in the current state-of-the-art include (a) Large Field of View and Rotating Particle Image Velocimetry diagnostics to resolve flow fields around wind turbines, (b) supercomputing simulations that incorporate complex terrains and resolve scales ranging from 2m to several Kms, (c) detailed blade models for aero-elastic simulations, and (d) structural health monitoring hardware and algorithms. Fusing information from different, independent techniques, the IWT project aims to develop an integrated framework for investigating turbine-turbine interactions and turbine reliability. Here, we report our recent progress in these areas, and discuss how these tools will be utilized effectively to understand aero-structural dynamics at LANL's Wind Turbine Field Station.
AB - In support of the Department of Energy's goal of achieving 20% wind energy by 2030, Los Alamos National Laboratory's Intelligent Wind Turbine (IWT) project has developed and applied novel diagnostics, supercomputing simulation tools, custom-built sensing platforms and detailed structural models to study wind turbine reliability. These leaps in the current state-of-the-art include (a) Large Field of View and Rotating Particle Image Velocimetry diagnostics to resolve flow fields around wind turbines, (b) supercomputing simulations that incorporate complex terrains and resolve scales ranging from 2m to several Kms, (c) detailed blade models for aero-elastic simulations, and (d) structural health monitoring hardware and algorithms. Fusing information from different, independent techniques, the IWT project aims to develop an integrated framework for investigating turbine-turbine interactions and turbine reliability. Here, we report our recent progress in these areas, and discuss how these tools will be utilized effectively to understand aero-structural dynamics at LANL's Wind Turbine Field Station.
UR - http://www.scopus.com/inward/record.url?scp=84871908894&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84871908894
SN - 9781624101441
T3 - 6th AIAA Theoretical Fluid Mechanics Conference
BT - 6th AIAA Theoretical Fluid Mechanics Conference
T2 - 6th AIAA Theoretical Fluid Mechanics Conference
Y2 - 27 June 2011 through 30 June 2011
ER -