Kenny Gruchalla

Kenny Gruchalla is an Adjunct Assistant Professor at the University of Colorado, affiliated with the National Renewable Energy Laboratory (NREL). His research focuses on scientific visualization techniques for large-scale energy systems, including immersive visualization, high-performance computing, and GPU-based solutions. He specializes in analyzing power grid dynamics, renewable energy integration, and human-computer interaction in energy scenarios.

• Affiliations: University of Colorado (Computer Science), NREL (Energy Systems Group)
• Research Themes: Energy Visualization, Grid Resilience, Renewable Technologies

His work emphasizes visual analytics for decision-making in energy systems, such as anomaly detection in grids, AR-based training for solar technicians, and AI-driven grid management (eGridGPT). He collaborates with industry partners like Duke Energy and utilities to address challenges in distributed energy resources and decarbonization.

Key contributions include the SAGA platform for grid anomaly detection, blade-resolved wind turbine simulations, and frameworks for contextual compression of large-scale datasets. His team also developed tools like the Surface Phase Explorer for catalyst modeling and the OpenStudio City Database for city-scale energy analysis.

Gruchalla has been recognized with the APS Gallery of Fluid Motion Award (2021) for his work on jet impingement visualization. His research bridges computational science, visualization, and energy engineering, with a focus on translating complex data into actionable insights for stakeholders.