Transforming Energy Through Computational Excellence: A View From NREL

Journal Article · Wed May 28 00:00:00 EDT 2025 · Computing in Science and Engineering

DOI:https://doi.org/10.1109/MCSE.2025.3559742· OSTI ID:2575431

Grout, Ray ^[1]; Parashar, Manish ^[2]; Potter, Kristi ^[1]

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1. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
2. Univ. of Utah, Salt Lake City, UT (United States)

At the National Renewable Energy Laboratory (NREL)—a U.S. Department of Energy laboratory—computational science, high-performance computing, applied mathematics, advanced computer science, visualization, and data play a pivotal role in advancing energy abundance, affordability, security, and reliability. From fundamental scientifc discovery to systems engineering and analysis, NREL researchers tackle market-relevant challenges to develop solutions for an independent energy system that is reliable, resilient and secure. Collaborative partnerships with industry, government, and academia ensure that our research remains cutting edge, impactful, applicable, and aligned with real-world energy needs. This special issue of Computing in Science & Engineering highlights exemplary NREL projects where computational tools and methodologies drive discovery and accelerate innovation in scalable and integrated energy systems. The featured articles explore the role of computational modeling, high-performance computing, generative AI, and adaptive computing in advancing independent energy solutions, optimizing sustainability research, and enhancing decision-making for energy solutions using a broad mix of energy technologies. Here, these contributions demonstrate how NREL’s computational research bridges the gap between theoretical advancements and practical implementation, emphasizing interdisciplinary collaboration and a commitment to innovation, with a focus on translating computational excellence into real-world impact, thus accelerate progress toward national energy goals. By showcasing cutting-edge research at the intersection of computational science and energy systems, this issue aims to inspire and inform researchers, practitioners, and policymakers dedicated to shaping a more reliable energy future.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: AC36-08GO28308
• OSTI ID: 2575431
• Report Number(s): NREL/JA--2C00-94152
• Journal Information: Computing in Science and Engineering, Journal Name: Computing in Science and Engineering Journal Issue: 1 Vol. 27; ISSN 1521-9615; ISSN 1558-366X
• Publisher: IEEE Computer Society
• Country of Publication: United States
• Language: English

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97 MATHEMATICS AND COMPUTING
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computational modeling
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data visualization
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high performance computing
laboratories
renewable energy sources
research and development
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