Abstract
This repository contains code and data for performing a siting analysis of long-duration energy storage (LDES) in the 5-bus and RTS systems using the Sienna suite developed by the National Renewable Energy Laboratory for production cost modeling (PCM). This analysis involves moving the LDES component to different buses in the system, running a simulation, and considering the production cost of the simulation. Different system configurations are also analyzed with these scripts (such as moving load or renewable dispatch generators to different buses) to observe the impacts the system configuration has on optimal siting. This repository contains three sub directories discussed below. Both the 5-bus and RTS systems have two different initial configurations for the renewable energy components in them, one that is predominantly PV-driven and one that is predominantly wind-driven.
Sienna suite can be found here: https://github.com/NREL-Sienna
- Developers:
-
Cole, David [1] ; Dalvi, Sourabh [2] ; Guerra Fernandez, Omar Jose [2]
- University of Wisconsin
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Release Date:
- 2025-04-09
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Julia
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies OfficePrimary Award/Contract Number:AC36-08GO28308
- Code ID:
- 153481
- Site Accession Number:
- NREL SWR-25-75
- Research Org.:
- University of WisconsinNational Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Country of Origin:
- United States
Citation Formats
Cole, David, Dalvi, Sourabh, and Guerra Fernandez, Omar Jose.
LDES-Sizing-and-siting-model (Power grid test cases for long-duration energy storage (LDES) siting) [SWR-25-75].
Computer Software.
https://github.com/NREL/LDES-Sizing-and-siting-model.
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office.
09 Apr. 2025.
Web.
doi:10.11578/dc.20250402.1.
Cole, David, Dalvi, Sourabh, & Guerra Fernandez, Omar Jose.
(2025, April 09).
LDES-Sizing-and-siting-model (Power grid test cases for long-duration energy storage (LDES) siting) [SWR-25-75].
[Computer software].
https://github.com/NREL/LDES-Sizing-and-siting-model.
https://doi.org/10.11578/dc.20250402.1.
Cole, David, Dalvi, Sourabh, and Guerra Fernandez, Omar Jose.
"LDES-Sizing-and-siting-model (Power grid test cases for long-duration energy storage (LDES) siting) [SWR-25-75]." Computer software.
April 09, 2025.
https://github.com/NREL/LDES-Sizing-and-siting-model.
https://doi.org/10.11578/dc.20250402.1.
@misc{
doecode_153481,
title = {LDES-Sizing-and-siting-model (Power grid test cases for long-duration energy storage (LDES) siting) [SWR-25-75]},
author = {Cole, David and Dalvi, Sourabh and Guerra Fernandez, Omar Jose},
abstractNote = {This repository contains code and data for performing a siting analysis of long-duration energy storage (LDES) in the 5-bus and RTS systems using the Sienna suite developed by the National Renewable Energy Laboratory for production cost modeling (PCM). This analysis involves moving the LDES component to different buses in the system, running a simulation, and considering the production cost of the simulation. Different system configurations are also analyzed with these scripts (such as moving load or renewable dispatch generators to different buses) to observe the impacts the system configuration has on optimal siting. This repository contains three sub directories discussed below. Both the 5-bus and RTS systems have two different initial configurations for the renewable energy components in them, one that is predominantly PV-driven and one that is predominantly wind-driven.
Sienna suite can be found here: https://github.com/NREL-Sienna},
doi = {10.11578/dc.20250402.1},
url = {https://doi.org/10.11578/dc.20250402.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20250402.1}},
year = {2025},
month = {apr}
}