ExaWind at NREL: Upping the Ante

Nicholas Brunhart-Lupo; Ashesh Sharma; Shreyas Ananthan; Michael Brazell; Lawrence Chung; Nathaniel deVelder; Marc Henry de Frahan; Neil Matula; Paul Mullowney; Jon Rood; Philip Sakievich; Ganesh Vijayakumar; Ann Almgren; Paul Crozier; Michael Sprague

ExaWind at NREL: Upping the Ante

Nicholas Brunhart-Lupo, Ashesh Sharma, Shreyas Ananthan, Michael Brazell, Lawrence Chung, Nathaniel deVelder, Marc Henry de Frahan, Neil Matula, Paul Mullowney, Jon Rood, Philip Sakievich, Ganesh Vijayakumar, Ann Almgren, Paul Crozier, Michael Sprague

Research output: NREL › Presentation

Abstract

The objective of the ExaWind component of the Exascale Computing Project is to deliver many-turbine blade-resolved simulations in complex terrain. These simulations bring new challenges to both compute and analysis of the resulting data. In this paper/video, we visually explore the impact of ExaWind on wind simulations through two studies of a small wind farm under two atmospheric conditions. We then turn to analysis and review tools that visualization researchers at NREL use to answer the challenges that ExaWind brings.

Original language	American English
Number of pages	20
State	Published - 2023

Publication series

Name	Presented at the Scientific Visualization & Data Analytics Showcase (SC23), 14-16 November 2023, Denver, Colorado

NREL Publication Number

NREL/PR-2C00-88089

Keywords

collaborative visualization
exascale
high performance computing
scientific visualization

Access to Document

https://www.nrel.gov/docs/fy24osti/88089.pdf

Cite this

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title = "ExaWind at NREL: Upping the Ante",

abstract = "The objective of the ExaWind component of the Exascale Computing Project is to deliver many-turbine blade-resolved simulations in complex terrain. These simulations bring new challenges to both compute and analysis of the resulting data. In this paper/video, we visually explore the impact of ExaWind on wind simulations through two studies of a small wind farm under two atmospheric conditions. We then turn to analysis and review tools that visualization researchers at NREL use to answer the challenges that ExaWind brings.",

keywords = "collaborative visualization, exascale, high performance computing, scientific visualization",

author = "Nicholas Brunhart-Lupo and Ashesh Sharma and Shreyas Ananthan and Michael Brazell and Lawrence Chung and Nathaniel deVelder and {Henry de Frahan}, Marc and Neil Matula and Paul Mullowney and Jon Rood and Philip Sakievich and Ganesh Vijayakumar and Ann Almgren and Paul Crozier and Michael Sprague",

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language = "American English",

series = "Presented at the Scientific Visualization & Data Analytics Showcase (SC23), 14-16 November 2023, Denver, Colorado",

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T1 - ExaWind at NREL: Upping the Ante

AU - Brunhart-Lupo, Nicholas

AU - Sharma, Ashesh

AU - Ananthan, Shreyas

AU - Brazell, Michael

AU - Chung, Lawrence

AU - deVelder, Nathaniel

AU - Henry de Frahan, Marc

AU - Matula, Neil

AU - Mullowney, Paul

AU - Rood, Jon

AU - Sakievich, Philip

AU - Vijayakumar, Ganesh

AU - Almgren, Ann

AU - Crozier, Paul

AU - Sprague, Michael

PY - 2023

Y1 - 2023

N2 - The objective of the ExaWind component of the Exascale Computing Project is to deliver many-turbine blade-resolved simulations in complex terrain. These simulations bring new challenges to both compute and analysis of the resulting data. In this paper/video, we visually explore the impact of ExaWind on wind simulations through two studies of a small wind farm under two atmospheric conditions. We then turn to analysis and review tools that visualization researchers at NREL use to answer the challenges that ExaWind brings.

AB - The objective of the ExaWind component of the Exascale Computing Project is to deliver many-turbine blade-resolved simulations in complex terrain. These simulations bring new challenges to both compute and analysis of the resulting data. In this paper/video, we visually explore the impact of ExaWind on wind simulations through two studies of a small wind farm under two atmospheric conditions. We then turn to analysis and review tools that visualization researchers at NREL use to answer the challenges that ExaWind brings.

KW - collaborative visualization

KW - exascale

KW - high performance computing

KW - scientific visualization

M3 - Presentation

T3 - Presented at the Scientific Visualization & Data Analytics Showcase (SC23), 14-16 November 2023, Denver, Colorado

ER -

ExaWind at NREL: Upping the Ante

Abstract

Publication series

NREL Publication Number

Keywords

Access to Document

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Cite this