ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling

Michael Sprague; Shreyas Ananthan; Roba Binyahib; Michael Brazell; Marc Henry de Frahan; Ryan King; Paul Mullowney; Jonathan Rood; Ashesh Sharma; Stephen Thomas; Ganesh Vijayakumar; Paul Crozier; L. Berger-Vergiat; Lawrence Cheung; David Dement; Nathaniel de Velder; David Glaze; Jonathan Hu; Robert Knaus; Dong Hun Lee; Neil Matula; Tolu Okusanya; James Overfelt; Sivasankaran Rajamanickam; Philip Sakievich; Timothy Smith; Jonathan Vo; Alan Williams; Ichitaro Yamazaki; John Turner; Andrey Prokopenko; Robert Wilson; Robert Moser; Jeremy Melvin; Jay Sitaraman

ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling

Michael Sprague, Shreyas Ananthan, Roba Binyahib, Michael Brazell, Marc Henry de Frahan, Ryan King, Paul Mullowney, Jonathan Rood, Ashesh Sharma, Stephen Thomas, Ganesh Vijayakumar, Paul Crozier, L. Berger-Vergiat, Lawrence Cheung, David Dement, Nathaniel de Velder, David Glaze, Jonathan Hu, Robert Knaus, Dong Hun LeeNeil Matula, Tolu Okusanya, James Overfelt, Sivasankaran Rajamanickam, Philip Sakievich, Timothy Smith, Jonathan Vo, Alan Williams, Ichitaro Yamazaki, John Turner, Andrey Prokopenko, Robert Wilson, Robert Moser, Jeremy Melvin, Jay Sitaraman

Research output: NREL › Poster

Abstract

The scientific goal of the ExaWind project is to advance our fundamental understanding of the flow physics governing whole wind plant performance, including wake formation, complex terrain impacts, and turbine-turbine-interaction effects. The primary application codes in the ExaWind environment are Nalu-Wind, an unstructured-grid computational fluid dynamics (CFD) code, AMR-Wind, a structured-grid CFD code, and OpenFAST, a whole-turbine simulation code. In this poster we present our progress towards simulating the ExaWind challenge problem, which is a predictive simulation of a wind farm with tens of megawatt-scale wind turbines dispersed over an area of 50 square kilometers.

Original language	American English
State	Published - 2021

Publication series

Name	Presented at the Exascale Computing Project Annual Meeting, 12-16 April 2021

NREL Publication Number

NREL/PO-5000-80015

Keywords

computing
exascale
wind
wind energy

Access to Document

https://www.nrel.gov/docs/fy21osti/80015.pdf

Cite this

Sprague, M., Ananthan, S., Binyahib, R., Brazell, M., Henry de Frahan, M., King, R., Mullowney, P., Rood, J., Sharma, A., Thomas, S., Vijayakumar, G., Crozier, P., Berger-Vergiat, L., Cheung, L., Dement, D., de Velder, N., Glaze, D., Hu, J., Knaus, R., ... Sitaraman, J. (2021). ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling. https://www.nrel.gov/docs/fy21osti/80015.pdf

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title = "ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling",

abstract = "The scientific goal of the ExaWind project is to advance our fundamental understanding of the flow physics governing whole wind plant performance, including wake formation, complex terrain impacts, and turbine-turbine-interaction effects. The primary application codes in the ExaWind environment are Nalu-Wind, an unstructured-grid computational fluid dynamics (CFD) code, AMR-Wind, a structured-grid CFD code, and OpenFAST, a whole-turbine simulation code. In this poster we present our progress towards simulating the ExaWind challenge problem, which is a predictive simulation of a wind farm with tens of megawatt-scale wind turbines dispersed over an area of 50 square kilometers.",

keywords = "computing, exascale, wind, wind energy",

author = "Michael Sprague and Shreyas Ananthan and Roba Binyahib and Michael Brazell and {Henry de Frahan}, Marc and Ryan King and Paul Mullowney and Jonathan Rood and Ashesh Sharma and Stephen Thomas and Ganesh Vijayakumar and Paul Crozier and L. Berger-Vergiat and Lawrence Cheung and David Dement and {de Velder}, Nathaniel and David Glaze and Jonathan Hu and Robert Knaus and {Hun Lee}, Dong and Neil Matula and Tolu Okusanya and James Overfelt and Sivasankaran Rajamanickam and Philip Sakievich and Timothy Smith and Jonathan Vo and Alan Williams and Ichitaro Yamazaki and John Turner and Andrey Prokopenko and Robert Wilson and Robert Moser and Jeremy Melvin and Jay Sitaraman",

year = "2021",

language = "American English",

series = "Presented at the Exascale Computing Project Annual Meeting, 12-16 April 2021",

type = "Other",

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Sprague, M, Ananthan, S, Binyahib, R, Brazell, M, Henry de Frahan, M , King, R, Mullowney, P, Rood, J, Sharma, A, Thomas, S, Vijayakumar, G, Crozier, P, Berger-Vergiat, L, Cheung, L, Dement, D, de Velder, N, Glaze, D, Hu, J, Knaus, R, Hun Lee, D, Matula, N, Okusanya, T, Overfelt, J, Rajamanickam, S, Sakievich, P, Smith, T, Vo, J, Williams, A, Yamazaki, I, Turner, J, Prokopenko, A, Wilson, R, Moser, R, Melvin, J & Sitaraman, J 2021, ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling.. <https://www.nrel.gov/docs/fy21osti/80015.pdf>

TY - GEN

T1 - ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling

AU - Sprague, Michael

AU - Ananthan, Shreyas

AU - Binyahib, Roba

AU - Brazell, Michael

AU - Henry de Frahan, Marc

AU - King, Ryan

AU - Mullowney, Paul

AU - Rood, Jonathan

AU - Sharma, Ashesh

AU - Thomas, Stephen

AU - Vijayakumar, Ganesh

AU - Crozier, Paul

AU - Berger-Vergiat, L.

AU - Cheung, Lawrence

AU - Dement, David

AU - de Velder, Nathaniel

AU - Glaze, David

AU - Hu, Jonathan

AU - Knaus, Robert

AU - Hun Lee, Dong

AU - Matula, Neil

AU - Okusanya, Tolu

AU - Overfelt, James

AU - Rajamanickam, Sivasankaran

AU - Sakievich, Philip

AU - Smith, Timothy

AU - Vo, Jonathan

AU - Williams, Alan

AU - Yamazaki, Ichitaro

AU - Turner, John

AU - Prokopenko, Andrey

AU - Wilson, Robert

AU - Moser, Robert

AU - Melvin, Jeremy

AU - Sitaraman, Jay

PY - 2021

Y1 - 2021

N2 - The scientific goal of the ExaWind project is to advance our fundamental understanding of the flow physics governing whole wind plant performance, including wake formation, complex terrain impacts, and turbine-turbine-interaction effects. The primary application codes in the ExaWind environment are Nalu-Wind, an unstructured-grid computational fluid dynamics (CFD) code, AMR-Wind, a structured-grid CFD code, and OpenFAST, a whole-turbine simulation code. In this poster we present our progress towards simulating the ExaWind challenge problem, which is a predictive simulation of a wind farm with tens of megawatt-scale wind turbines dispersed over an area of 50 square kilometers.

AB - The scientific goal of the ExaWind project is to advance our fundamental understanding of the flow physics governing whole wind plant performance, including wake formation, complex terrain impacts, and turbine-turbine-interaction effects. The primary application codes in the ExaWind environment are Nalu-Wind, an unstructured-grid computational fluid dynamics (CFD) code, AMR-Wind, a structured-grid CFD code, and OpenFAST, a whole-turbine simulation code. In this poster we present our progress towards simulating the ExaWind challenge problem, which is a predictive simulation of a wind farm with tens of megawatt-scale wind turbines dispersed over an area of 50 square kilometers.

KW - computing

KW - exascale

KW - wind

KW - wind energy

M3 - Poster

T3 - Presented at the Exascale Computing Project Annual Meeting, 12-16 April 2021

ER -

ExaWind: Exascale Predictive Wind Plant Flow Physics Modeling

Abstract

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Keywords

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