Immersive Particle Advection: Through the Scales of Renewable Energy

Brunhart-Lupo, Nicholas; Gruchalla, Kenny

doi:10.1145/3569951.3603641

Immersive Particle Advection: Through the Scales of Renewable Energy

Conference · 10 September 2023

DOI:https://doi.org/10.1145/3569951.3603641· OSTI ID:2229742

Brunhart-Lupo, Nicholas;

We describe the benefits of immersive flow analysis for three large-scale computational science studies in the field of renewable energy. The studies encompass a range of scales, spanning from the large atmospheric scale of a wind farm to the human scale of an electric vehicle cabin down to the microscopic scale of battery material science. In these studies, users explored the flow patterns and dynamics through immersive particle advection. The integration of high-performance computing with immersive analysis provided a deeper understanding of these systems, helping develop more effective solutions for a sustainable energy future.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 2229742

Report Number(s):: NREL/CP-2C00-88277; MainId:89052; UUID:55745199-73ba-428e-9dc0-a3d8277dc59b; MainAdminID:71278

Resource Relation:: Conference: Presented at PEARC '23: Practice and Experience in Advanced Research Computing, 23-27 July 2023, Portland, Oregon; Related Information: 86279

Country of Publication:: United States

Language:: English

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MATHEMATICS AND COMPUTING
computational fluid dynamics
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particle advection

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