TY - JOUR
T1 - Large-Eddy Simulation Sensitivities to Variations of Configuration and Forcing Parameters in Canonical Boundary-Layer Flows for Wind Energy Applications
AU - Mirocha, Jeffrey D.
AU - Churchfield, Matthew J.
AU - Munõz-Esparza, Domingo
AU - Rai, Raj K.
AU - Feng, Yan
AU - Kosović, Branko
AU - Ellen Haupt, Sue
AU - Brown, Barbara
AU - Ennis, Brandon L.
AU - Draxl, Caroline
AU - Sanz Rodrigo, Javier
AU - Shaw, William J.
AU - Berg, Larry K.
AU - Moriarty, Patrick J.
AU - Linn, Rodman R.
AU - Kotamarthi, Veerabhadra R.
AU - Balakrishnan, Ramesh
AU - Cline, Joel W.
AU - Robinson, Michael C.
AU - Ananthan, Shreyas
N1 - See NREL/JA-5000-72636 for article as published in Wind Energy Science Discussions
PY - 2018
Y1 - 2018
N2 - The sensitivities of idealized large-eddy simulations (LESs) 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 in 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 LESs, using periodic lateral boundary conditions. Comparison with fast-response velocity measurements at 10 heights within the lowest 100 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 LESs 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 (LESs) 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 in 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 LESs, using periodic lateral boundary conditions. Comparison with fast-response velocity measurements at 10 heights within the lowest 100 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 LESs 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
UR - http://www.scopus.com/inward/record.url?scp=85086931939&partnerID=8YFLogxK
U2 - 10.5194/wes-3-589-2018
DO - 10.5194/wes-3-589-2018
M3 - Article
AN - SCOPUS:85086931939
SN - 2366-7443
VL - 3
SP - 589
EP - 613
JO - Wind Energy Science
JF - Wind Energy Science
IS - 2
ER -