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Title: Electrification Futures Study Flexible Load Profiles

Abstract

This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for various scenarios of flexibility (Base, Enhanced), electrification (Reference, Medium, High), and technology advancement (Slow, Moderate, Rapid), and were developed as inputs into the ReEDS model. The quantity of flexible load is estimated using assumptions on the level of flexibility and customer participation within each subsector modeled in the EFS. Detailed assumptions and modeling implementation will be documented in ongoing EFS analyses. Flexible load profiles are provided for a subset of years (2018, 2020, 2024, 2030, 2040, 2050) and are aggregated to the state and sector level. Total electricity load profiles can be found in a related EFS data set (https://dx.doi.org/10.7799/1593122). NOTE: Due to the file size, Mac users may experience issues decompressing the zip files using the Mac Archive Utility. In those cases, decompressing using the command line is recommended. - 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 andmore » Power Consumption for the United States. National Renewable Energy Laboratory. NREL/TP-6A20-71500. https://doi.org/10.2172/1459351. - Murphy, Caitlin, Trieu Mai, Yinong Sun, Paige Jadun, Matteo Muratori, Brent Nelson, Ryan Jones. Forthcoming. Electrification Futures Study: Scenarios of Power System Evolution and Infrastructure Development for the United States. National Renewable Energy Laboratory. - Sun, Yinong, Paige Jadun, Brent Nelson, Matteo Muratori, Caitlin Murphy, Jeffrey Logan, and Trieu Mai. Forthcoming. Electrification Futures Study: Methodological Approaches for Assessing Long-Term Power System Impacts of End-Use Electrification. National Renewable Energy Laboratory.« less

Creator(s)/Author(s):
ORCiD logo ; ; ; ; ORCiD logo ; ; ; ORCiD logo
Publication Date:
Other Number(s):
127
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; demand-side flexibility; load profile
OSTI Identifier:
1602981
DOI:
10.7799/1602981

Citation Formats

Jadun, Paige, Mai, Trieu, Murphy, Caitlin, Sun, Yinong, Muratori, Matteo, Nelson, Brent, Jones, Ryan, and Logan, Jeffrey. Electrification Futures Study Flexible Load Profiles. United States: N. p., 2020. Web. doi:10.7799/1602981.
Jadun, Paige, Mai, Trieu, Murphy, Caitlin, Sun, Yinong, Muratori, Matteo, Nelson, Brent, Jones, Ryan, & Logan, Jeffrey. Electrification Futures Study Flexible Load Profiles. United States. doi:10.7799/1602981.
Jadun, Paige, Mai, Trieu, Murphy, Caitlin, Sun, Yinong, Muratori, Matteo, Nelson, Brent, Jones, Ryan, and Logan, Jeffrey. 2020. "Electrification Futures Study Flexible Load Profiles". United States. doi:10.7799/1602981. https://www.osti.gov/servlets/purl/1602981. Pub date:Fri Jan 31 00:00:00 EST 2020
@article{osti_1602981,
title = {Electrification Futures Study Flexible Load Profiles},
author = {Jadun, Paige and Mai, Trieu and Murphy, Caitlin and Sun, Yinong and Muratori, Matteo and Nelson, Brent and Jones, Ryan and Logan, Jeffrey},
abstractNote = {This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for various scenarios of flexibility (Base, Enhanced), electrification (Reference, Medium, High), and technology advancement (Slow, Moderate, Rapid), and were developed as inputs into the ReEDS model. The quantity of flexible load is estimated using assumptions on the level of flexibility and customer participation within each subsector modeled in the EFS. Detailed assumptions and modeling implementation will be documented in ongoing EFS analyses. Flexible load profiles are provided for a subset of years (2018, 2020, 2024, 2030, 2040, 2050) and are aggregated to the state and sector level. Total electricity load profiles can be found in a related EFS data set (https://dx.doi.org/10.7799/1593122). NOTE: Due to the file size, Mac users may experience issues decompressing the zip files using the Mac Archive Utility. In those cases, decompressing using the command line is recommended. - 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. - Murphy, Caitlin, Trieu Mai, Yinong Sun, Paige Jadun, Matteo Muratori, Brent Nelson, Ryan Jones. Forthcoming. Electrification Futures Study: Scenarios of Power System Evolution and Infrastructure Development for the United States. National Renewable Energy Laboratory. - Sun, Yinong, Paige Jadun, Brent Nelson, Matteo Muratori, Caitlin Murphy, Jeffrey Logan, and Trieu Mai. Forthcoming. Electrification Futures Study: Methodological Approaches for Assessing Long-Term Power System Impacts of End-Use Electrification. National Renewable Energy Laboratory.},
doi = {10.7799/1602981},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}

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