Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios

Burleyson, Casey; Khan, Zarrar; Kulshresta, Misha; Voisin, Nathalie; Zhao, Mengqi; Rice, Jennie

doi:10.57931/2432465

Title: Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios

Dataset
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Abstract

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.

Authors:

;

; Kulshresta, Misha;

;

Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
Pacific Northwest National Laboratory

Publication Date:: Mon Aug 19 04:00:00 UTC 2024

Research Org.:: MultiSector Dynamics - Living, Intuitive, Value-adding, Environment

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: Climate Change; Electricity Demand; GCAM-USA; Scenario; TELL

OSTI Identifier:: 2432465

DOI:: https://doi.org/10.57931/2432465

Citation Formats


                    Burleyson, Casey, Khan, Zarrar, Kulshresta, Misha, Voisin, Nathalie, Zhao, Mengqi, and Rice, Jennie. Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios.  United States: N. p., 2024. 
        Web.  doi:10.57931/2432465.

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                    Burleyson, Casey, Khan, Zarrar, Kulshresta, Misha, Voisin, Nathalie, Zhao, Mengqi, & Rice, Jennie. Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios.  United States.  doi:https://doi.org/10.57931/2432465

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                    Burleyson, Casey, Khan, Zarrar, Kulshresta, Misha, Voisin, Nathalie, Zhao, Mengqi, and Rice, Jennie. 2024.  
"Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios".  United States.  doi:https://doi.org/10.57931/2432465.  https://www.osti.gov/servlets/purl/2432465. Pub date:Mon Aug 19 04:00:00 UTC 2024

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@article{osti_2432465,

  title        = {Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios},

  author       = {Burleyson, Casey and Khan, Zarrar and Kulshresta, Misha and Voisin, Nathalie and Zhao, Mengqi and Rice, Jennie},

  abstractNote = {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.},

  doi          = {10.57931/2432465},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Aug 19 04:00:00 UTC 2024},

  month        = {Mon Aug 19 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.57931/2432465

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