Large-eddy simulation sensitivities to variations of configuration and forcing parameters in canonical boundary-layer flows for wind energy applications
Abstract. The sensitivities of idealized large-eddy simulations (LESs) to variations ofmodel configuration and forcing parameters on quantities of interest to windpower applications are examined. Simulated wind speed, turbulent fluxes,spectra and cospectra are assessed in relation to variations in two physicalfactors, geostrophic wind speed and surface roughness length, and severalmodel configuration choices, including mesh size and grid aspect ratio,turbulence model, and numerical discretization schemes, in three differentcode bases. Two case studies representing nearly steady neutral andconvective atmospheric boundary layer (ABL) flow conditions over nearly flatand homogeneous terrain were used to force and assess idealized LESs, usingperiodic lateral boundary conditions. Comparison with fast-response velocitymeasurements at 10 heights within the lowest 100m indicates that most modelconfigurations performed similarly overall, with differences between observedand predicted wind speed generally smaller than measurement variability.Simulations of convective conditions produced turbulence quantities andspectra that matched the observations well, while those of neutralsimulations produced good predictions of stress, but smaller than observedmagnitudes of turbulence kinetic energy, likely due to tower wakesinfluencing the measurements. While sensitivities to model configurationchoices and variability in forcing can be considerable, idealized LESs areshown to reliably reproduce quantities of interest to wind energyapplications within the lower ABL during quasi-ideal, nearly steady neutraland convective conditions over nearly flat and homogeneous terrain.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States; Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States); Argonne National Laboratory (ANL), Argonne, IL (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344; AC52-06NA25396; AC36-08GO28308; AC02-06CH11357; AC05-76RL01830; NA0003525
- OSTI ID:
- 1468493
- Alternate ID(s):
- OSTI ID: 1477683; OSTI ID: 1544964; OSTI ID: 1557671; OSTI ID: 1578044
- Report Number(s):
- LA-UR-17-27934; LLNL-JRNL-759146; PNNL-SA-132498
- Journal Information:
- Wind Energy Science (Online), Journal Name: Wind Energy Science (Online) Vol. 3 Journal Issue: 2; ISSN 2366-7451
- Publisher:
- European Wind Energy Association - CopernicusCopyright Statement
- Country of Publication:
- Germany
- Language:
- English
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