Large-Eddy Simulations of Idealized Atmospheric Boundary Layers Using Nalu-Wind

Kaul, C. M.; Ananthan, Shreyas; Churchfield, Matthew; Mirocha, J. D.; Berg, L. K.; Rai, R.

doi:10.1088/1742-6596/1452/1/012078

Title: Large-Eddy Simulations of Idealized Atmospheric Boundary Layers Using Nalu-Wind

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Abstract

Accurate prediction of wind-plant performance relies, in part, on properly characterizing the turbulent atmospheric boundary layer (ABL) flow in which wind turbines operate. Large-eddy simulation (LES) is a powerful tool for simulating ABLs because it resolves the largest, most energetic scales of three-dimensional turbulent motions. Yet LES predictions are well known to depend on modeling choices such as grid resolution, numerical discretization schemes, and closures for unresolved scales of turbulence. Here, we evaluate how these choices influence predictions of ABL winds using Nalu-Wind, a wind-specific fork of the open-source, generalized, unstructured, massively parallel flow solver NaluCFD/Nalu.

Authors:

Kaul, C. M. ^[1]; Ananthan, Shreyas ^[2];

^[2]; Mirocha, J. D. ^[3]; Berg, L. K. ^[1]; Rai, R. ^[1]

Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Publication Date:: 2020-03-03

Research Org.:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office

OSTI Identifier:: 1659952

Report Number(s):: NREL/JA-2C00-77162
Journal ID: ISSN 1742-6588; MainId:26108;UUID:5dd5f351-2537-4852-b6a1-217a7eebc690;MainAdminID:13684

Grant/Contract Number:: AC36-08GO28308

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Physics. Conference Series

Additional Journal Information:: Journal Volume: 1452; Journal ID: ISSN 1742-6588

Publisher:: IOP Publishing

Country of Publication:: United States

Language:: English

Subject:: 17 WIND ENERGY; atmostpheric boundary layer; large-eddy simulation; Nalu-Wind; turbulence; wind plant performance; wind turbines

Citation Formats


                    Kaul, C. M., Ananthan, Shreyas, Churchfield, Matthew, Mirocha, J. D., Berg, L. K., and Rai, R. Large-Eddy Simulations of Idealized Atmospheric Boundary Layers Using Nalu-Wind.  United States: N. p., 2020. 
Web.  doi:10.1088/1742-6596/1452/1/012078.

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                    Kaul, C. M., Ananthan, Shreyas, Churchfield, Matthew, Mirocha, J. D., Berg, L. K., & Rai, R. Large-Eddy Simulations of Idealized Atmospheric Boundary Layers Using Nalu-Wind.  United States.  https://doi.org/10.1088/1742-6596/1452/1/012078

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                    Kaul, C. M., Ananthan, Shreyas, Churchfield, Matthew, Mirocha, J. D., Berg, L. K., and Rai, R. Tue .  
"Large-Eddy Simulations of Idealized Atmospheric Boundary Layers Using Nalu-Wind".  United States.  https://doi.org/10.1088/1742-6596/1452/1/012078.  https://www.osti.gov/servlets/purl/1659952.

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@article{osti_1659952,

  title        = {Large-Eddy Simulations of Idealized Atmospheric Boundary Layers Using Nalu-Wind},

  author       = {Kaul, C. M. and Ananthan, Shreyas and Churchfield, Matthew and Mirocha, J. D. and Berg, L. K. and Rai, R.},

  abstractNote = {Accurate prediction of wind-plant performance relies, in part, on properly characterizing the turbulent atmospheric boundary layer (ABL) flow in which wind turbines operate. Large-eddy simulation (LES) is a powerful tool for simulating ABLs because it resolves the largest, most energetic scales of three-dimensional turbulent motions. Yet LES predictions are well known to depend on modeling choices such as grid resolution, numerical discretization schemes, and closures for unresolved scales of turbulence. Here, we evaluate how these choices influence predictions of ABL winds using Nalu-Wind, a wind-specific fork of the open-source, generalized, unstructured, massively parallel flow solver NaluCFD/Nalu.},

  doi          = {10.1088/1742-6596/1452/1/012078},

  journal      = {Journal of Physics. Conference Series},

  number       = ,

  volume       = 1452,

  place        = {United States},

  year         = {2020},

  month        = {3}

}

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