TY - JOUR
T1 - Large-Eddy Simulation Sensitivities to Variations of Configuration and Forcing Parameters in Canonical Boundary-Layer Flows for Wind Energy Applications
AU - Churchfield, Matthew
AU - Draxl, Caroline
AU - Moriarty, Patrick
AU - Mirocha, Jeffrey
AU - Munoz-Esparza, Domingo
AU - Rai, Raj
AU - Feng, Yan
AU - Kosovic, Branko
AU - Haupt, Sue
AU - Brown, Barbara
AU - Ennis, Brandon
AU - Rodrigo, Javier
AU - Shaw, William
AU - Berg, Larry
AU - Linn, Rodman
AU - Kotamarthi, Veerabhadra
AU - Balakrishnan, Ramesh
AU - Cline, Joel
AU - Robinson, Michael
AU - Ananthan, Shreyas
N1 - See NREL/JA-5000-70811 for final paper as published in Wind Energy Science
PY - 2017
Y1 - 2017
N2 - The sensitivities of idealized Large-Eddy Simulations (LES) to variations of model configuration and forcing parameters on quantities of interest to wind power applications are examined. Simulated wind speed, turbulent fluxes, spectra and cospectra are assessed in relation to variations of two physical factors, geostrophic wind speed and surface roughness length, and several model configuration choices, including mesh size and grid aspect ratio, turbulence model, and numerical discretization schemes, in three different code bases. Two case studies representing nearly steady neutral and convective atmospheric boundary layer (ABL) flow conditions over nearly flat and homogeneous terrain were used to force and assess idealized LES, using periodic lateral boundary conditions. Comparison with fast-response velocity measurements at five heights within the lowest 50 m indicates that most model configurations performed similarly overall, with differences between observed and predicted wind speed generally smaller than measurement variability. Simulations of convective conditions produced turbulence quantities and spectra that matched the observations well, while those of neutral simulations produced good predictions of stress, but smaller than observed magnitudes of turbulence kinetic energy, likely due to tower wakes influencing the measurements. While sensitivities to model configuration choices and variability in forcing can be considerable, idealized LES are shown to reliably reproduce quantities of interest to wind energy applications within the lower ABL during quasi-ideal, nearly steady neutral and convective conditions over nearly flat and homogeneous terrain.
AB - The sensitivities of idealized Large-Eddy Simulations (LES) to variations of model configuration and forcing parameters on quantities of interest to wind power applications are examined. Simulated wind speed, turbulent fluxes, spectra and cospectra are assessed in relation to variations of two physical factors, geostrophic wind speed and surface roughness length, and several model configuration choices, including mesh size and grid aspect ratio, turbulence model, and numerical discretization schemes, in three different code bases. Two case studies representing nearly steady neutral and convective atmospheric boundary layer (ABL) flow conditions over nearly flat and homogeneous terrain were used to force and assess idealized LES, using periodic lateral boundary conditions. Comparison with fast-response velocity measurements at five heights within the lowest 50 m indicates that most model configurations performed similarly overall, with differences between observed and predicted wind speed generally smaller than measurement variability. Simulations of convective conditions produced turbulence quantities and spectra that matched the observations well, while those of neutral simulations produced good predictions of stress, but smaller than observed magnitudes of turbulence kinetic energy, likely due to tower wakes influencing the measurements. While sensitivities to model configuration choices and variability in forcing can be considerable, idealized LES are shown to reliably reproduce quantities of interest to wind energy applications within the lower ABL during quasi-ideal, nearly steady neutral and convective conditions over nearly flat and homogeneous terrain.
KW - atmospheric boundary layer
KW - large-eddy simulation
KW - LES
KW - wind energy
KW - wind power
U2 - 10.5194/wes-2017-33
DO - 10.5194/wes-2017-33
M3 - Article
SN - 2366-7621
JO - Wind Energy Science Discussions
JF - Wind Energy Science Discussions
ER -