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Title: Electrification Futures Study Load Profiles

Abstract

This data set includes hourly load profiles developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand for various scenarios of electrification (Reference, Medium, High) and technology advancement (Slow, Moderate, Rapid), developed using the EnergyPATHWAYS (EP) model, as described in Mai et al. (2018). The EP load profiles were further calibrated for use in the ReEDS capacity expansion model (detailed in forthcoming EFS analyses), thus numerical values in this data set differ slightly from those reported in Mai et al. (2018). Load profiles are provided for a subset of years (2018, 2020, 2024, 2030, 2040, 2050) and are aggregated to the state, sector, and select subsector level. Mai, Trieu, Paige Jadun, Jeffrey Logan, Colin McMillan, Matteo Muratori, Daniel Steinberg, Laura Vimmerstedt, Ryan Jones, Benjamin Haley, and Brent Nelson. 2018. Electrification Futures Study: Scenarios of Electric Technology Adoption and Power Consumption for the United States. National Renewable Energy Laboratory. NREL/TP-6A20-71500. https://doi.org/10.2172/1459351.

Creator(s)/Author(s):
; ; ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ; ; ; ; ;
Publication Date:
Other Number(s):
126
DOE Contract Number:  
FY17 AOP 2.4.0.3
Product Type:
Dataset
Research Org.:
National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Laboratory
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Keywords:
NREL; energy; data; electrification; buildings; transportation; industry; electrification futures study; EFS; United States; end-use technologies; electrotechnologies; energy transitions; 2050; load profile
OSTI Identifier:
1593122
DOI:
10.7799/1593122

Citation Formats

Mai, Trieu, Jadun, Paige, Logan, Jeffrey, McMillan, Colin, Muratori, Matteo, Steinberg, Daniel, Vimmerstedt, Laura, Jones, Ryan, Haley, Ben, Nelson, Brent, Murphy, Caitlin, and Sun, Yinong. Electrification Futures Study Load Profiles. United States: N. p., 2020. Web. doi:10.7799/1593122.
Mai, Trieu, Jadun, Paige, Logan, Jeffrey, McMillan, Colin, Muratori, Matteo, Steinberg, Daniel, Vimmerstedt, Laura, Jones, Ryan, Haley, Ben, Nelson, Brent, Murphy, Caitlin, & Sun, Yinong. Electrification Futures Study Load Profiles. United States. doi:10.7799/1593122.
Mai, Trieu, Jadun, Paige, Logan, Jeffrey, McMillan, Colin, Muratori, Matteo, Steinberg, Daniel, Vimmerstedt, Laura, Jones, Ryan, Haley, Ben, Nelson, Brent, Murphy, Caitlin, and Sun, Yinong. 2020. "Electrification Futures Study Load Profiles". United States. doi:10.7799/1593122. https://www.osti.gov/servlets/purl/1593122. Pub date:Thu Jan 09 00:00:00 EST 2020
@article{osti_1593122,
title = {Electrification Futures Study Load Profiles},
author = {Mai, Trieu and Jadun, Paige and Logan, Jeffrey and McMillan, Colin and Muratori, Matteo and Steinberg, Daniel and Vimmerstedt, Laura and Jones, Ryan and Haley, Ben and Nelson, Brent and Murphy, Caitlin and Sun, Yinong},
abstractNote = {This data set includes hourly load profiles developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand for various scenarios of electrification (Reference, Medium, High) and technology advancement (Slow, Moderate, Rapid), developed using the EnergyPATHWAYS (EP) model, as described in Mai et al. (2018). The EP load profiles were further calibrated for use in the ReEDS capacity expansion model (detailed in forthcoming EFS analyses), thus numerical values in this data set differ slightly from those reported in Mai et al. (2018). Load profiles are provided for a subset of years (2018, 2020, 2024, 2030, 2040, 2050) and are aggregated to the state, sector, and select subsector level. Mai, Trieu, Paige Jadun, Jeffrey Logan, Colin McMillan, Matteo Muratori, Daniel Steinberg, Laura Vimmerstedt, Ryan Jones, Benjamin Haley, and Brent Nelson. 2018. Electrification Futures Study: Scenarios of Electric Technology Adoption and Power Consumption for the United States. National Renewable Energy Laboratory. NREL/TP-6A20-71500. https://doi.org/10.2172/1459351.},
doi = {10.7799/1593122},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}

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