Abstract
Computational methods underpin advancing the science and engineering of energy efficiency, sustainable transportation, renewable power technologies, and developing a knowledge base to optimize energy systems. Researchers with access to enough computing, and the right type, can focus their ingenuity and creativity on addressing the energy challenges. NREL’s advanced computing influence spans several common themes across the Office of Energy Efficiency and Renewable Energy (EERE), including materials discovery, process modeling, fluid dynamics, resource mapping, and analysis of large-scale systems with real-time optimization.
Original language | American English |
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State | Published - 2021 |
NREL Publication Number
- NREL/FS-2C00-80012
Keywords
- advanced computing
- AI
- computational science
- computing
- eagle
- EERE
- ESIF
- ML
- petaflop