Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios

Dataset · Mon Aug 19 00:00:00 EDT 2024

DOI:https://doi.org/10.57931/2432465· OSTI ID:2432465

Burleyson, Casey ^[1]; Khan, Zarrar ^[2]; Kulshresta, Misha ^[2]; Voisin, Nathalie ^[2]; Zhao, Mengqi ^[2]; Rice, Jennie ^[2]

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1. Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
2. Pacific Northwest National Laboratory

This dataset contains 40 years (1980-2019) of simulated historical hourly electricity demand (i.e., loads) and 80 years (2020-2099) of projected hourly loads for 54 Balancing Authorities (BAs) and 48 states plus the District of Columbia. Details about the scenarios and variables included in this dataset are in the readme.pdf file. The two primary models that created the dataset are a version of the Global Change Analysis Model with detailed sectoral resolution over the United States (GCAM-USA) and the Total ELectricity Loads (TELL) model. Links to the model source code and workflow for deriving the dataset are provided in an accompanying meta-repository: https://github.com/IMMM-SFA/burleyson-etal_2024_applied_energy.  Projections are for four future climate scenarios that represent combinations of Representative Concentration Pathways (RCPs) 4.5 and 8.5 combined with two levels of climate model sensitivities: rcp45cooler, rcp45hotter, rcp85cooler, and rcp85hotter. The four climate scenarios are crossed with Shared Socioeconomic Pathways (SSPs) 3 and 5 to yield eight different future load projections: rcp45cooler_ssp3, rcp45cooler_ssp5, rcp45hotter_ssp3, rcp45hotter_ssp5, rcp85cooler_ssp3, rcp85cooler_ssp5, rcp85hotter_ssp3, and rcp85hotter_ssp5. The climate scenarios are from the IM3 Thermodynamic Global Warming (TGW) dataset which is linked below in the related metadata. The related metadata also contains links to a repository containing the raw GCAM-USA output files.

• Research Organization: MultiSector Dynamics - Living, Intuitive, Value-adding, Environment
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• OSTI ID: 2432465
• Country of Publication: United States
• Language: English

Related Subjects

Climate Change
Electricity Demand
GCAM-USA
Scenario
TELL