@misc{72f3e7c4e40a4406a4d5ed11b4d145c1,
title = "Impacts of Spatial Resolution in a High-Fidelity Capacity Expansion Model: An ERCOT Case Study",
abstract = "Capacity expansion models are important tools in examining the evolution of the electric power sector. Embedded in these tools are many modeling choices with consequential impacts on computational burden and associated analysis. In this study, we adjust the spatial resolution of the Regional Energy Deployment System (ReEDS) to understand the implications of higher-fidelity modeling on energy system projections and model solve times. The native ReEDS regions capture the contiguous United States in 134 balancing areas whereas the regions in the higher-resolution version are defined by over 3,000 U.S. counties. Using both resolutions, we conduct a case study of the Texas Interconnection (The Electric Reliability Council of Texas [ERCOT]) to explore differences in model projections and to inform appropriate applications of high spatial resolution in a large-scale, applied capacity expansion model.",
keywords = "spatial resolution",
author = "Louisa Serpe and Wesley Cole and Brian Sergi and Maxwell Brown and Vincent Carag and Akash Karmakar",
year = "2024",
language = "American English",
series = "Presented at the 2024 IEEE Power & Energy Society General Meeting, 21-25 July 2024, Seattle, Washington",
publisher = "National Renewable Energy Laboratory (NREL)",
address = "United States",
type = "Other",
}