Sienna Modeling Framework [Slides] Article Swipe

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Clayton Barrows , Sourabh Dalvi , Surya Chandan Dhulipala , Kate Doubleday , Rodrigo Henriquez Auba , Gabriel Konar-Steenberg , José Daniel Lara , Pedro Sanchez Perez , Daniel Thom ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.2172/2376836

NREL's Sienna modeling framework effectively builds, solves, and analyzes the scheduling problems and dynamic simulations of quasi-static infrastructure systems. It uses a modular framework to answer different questions about future energy systems, fundamentally advancing the nation's ability to model individual and integrated infrastructure systems at a range of spatial and temporal scales. This presentation will include NREL power grid researcher Clayton Barrows.

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Modular design Computer science Grid Scheduling (production processes) Presentation (obstetrics) Distributed computing Range (aeronautics) Power grid Systems engineering Industrial engineering Power (physics) Engineering Mathematics Aerospace engineering Operations management Programming language Physics Geometry Medicine Radiology Quantum mechanics

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Type: report
Language: en
Landing Page: https://doi.org/10.2172/2376836
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Title: Sienna Modeling Framework [Slides]

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Publication year: 2024

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Publication date: 2024-06-11

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Authors: Clayton Barrows, Sourabh Dalvi, Surya Chandan Dhulipala, Kate Doubleday, Rodrigo Henriquez Auba, Gabriel Konar-Steenberg, José Daniel Lara, Pedro Sanchez Perez, Daniel Thom

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Concepts: Modular design, Computer science, Grid, Scheduling (production processes), Presentation (obstetrics), Distributed computing, Range (aeronautics), Power grid, Systems engineering, Industrial engineering, Power (physics), Engineering, Mathematics, Aerospace engineering, Operations management, Programming language, Physics, Geometry, Medicine, Radiology, Quantum mechanics

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