Immersive Particle Advection: Through the Scales of Renewable Energy

Nicholas Brunhart-Lupo; Kenny Gruchalla

doi:10.1145/3569951.3603641

Immersive Particle Advection: Through the Scales of Renewable Energy

Nicholas Brunhart-Lupo, Kenny Gruchalla

Computational Science

Research output: Contribution to conference › Paper

Abstract

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.

Original language	American English
Pages	400-404
Number of pages	5
DOIs	https://doi.org/10.1145/3569951.3603641
State	Published - 2023

Bibliographical note

See NREL/CP-2C00-86279 for preprint

NREL Publication Number

NREL/CP-2C00-88277

Keywords

computational fluid dynamics
immersive analytics
particle advection

Access to Document

10.1145/3569951.3603641

Cite this

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title = "Immersive Particle Advection: Through the Scales of Renewable Energy",

abstract = "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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AU - Gruchalla, Kenny

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Y1 - 2023

N2 - 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.

AB - 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.

KW - computational fluid dynamics

KW - immersive analytics

KW - particle advection

U2 - 10.1145/3569951.3603641

DO - 10.1145/3569951.3603641

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ER -

Immersive Particle Advection: Through the Scales of Renewable Energy

Abstract

Bibliographical note

NREL Publication Number

Keywords

Access to Document

Fingerprint

Cite this