Sienna Modeling Framework

Clayton Barrows; Sourabh Dalvi; Surya Dhulipala; Kate Doubleday; Rodrigo Henriquez Auba; Gabriel Konar-Steenberg; Jose Daniel Lara; Pedro Sanchez Perez; Daniel Thom

doi:10.2172/2376836

Sienna Modeling Framework

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

Grid Planning and Analysis Center

Research output: NREL › Presentation

Abstract

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.

Original language	American English
Number of pages	39
DOIs	https://doi.org/10.2172/2376836
State	Published - 2024

NREL Publication Number

NREL/PR-6A40-90227

Keywords

dynamic simulations
grid
infrastructure
Sienna

Access to Document

10.2172/2376836

https://www.nrel.gov/docs/fy24osti/90227.pdf

Cite this

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title = "Sienna Modeling Framework",

abstract = "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.",

keywords = "dynamic simulations, grid, infrastructure, Sienna",

author = "Clayton Barrows and Sourabh Dalvi and Surya Dhulipala and Kate Doubleday and {Henriquez Auba}, Rodrigo and Gabriel Konar-Steenberg and Lara, {Jose Daniel} and {Sanchez Perez}, Pedro and Daniel Thom",

year = "2024",

doi = "10.2172/2376836",

language = "American English",

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AU - Barrows, Clayton

AU - Dalvi, Sourabh

AU - Dhulipala, Surya

AU - Doubleday, Kate

AU - Henriquez Auba, Rodrigo

AU - Konar-Steenberg, Gabriel

AU - Lara, Jose Daniel

AU - Sanchez Perez, Pedro

AU - Thom, Daniel

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

KW - dynamic simulations

KW - grid

KW - infrastructure

KW - Sienna

U2 - 10.2172/2376836

DO - 10.2172/2376836

M3 - Presentation

ER -

Sienna Modeling Framework

Abstract

NREL Publication Number

Keywords

Access to Document

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