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Electrification Futures Study Flexible Load Profiles

Publicly accessible License 

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.

Citation Formats

National Renewable Energy Laboratory. (2020). Electrification Futures Study Flexible Load Profiles [data set]. Retrieved from 293cdf56-7825-4cc1-80ce-3994df02afe8.
Export Citation to RIS
Jadun, , Mai, , Murphy, , Sun, , Muratori, , Nelson, , Jones, , and Logan, . Electrification Futures Study Flexible Load Profiles. United States: N.p., 04 Feb, 2020. Web. 293cdf56-7825-4cc1-80ce-3994df02afe8.
Jadun, , Mai, , Murphy, , Sun, , Muratori, , Nelson, , Jones, , & Logan, . Electrification Futures Study Flexible Load Profiles. United States. 293cdf56-7825-4cc1-80ce-3994df02afe8
Jadun, , Mai, , Murphy, , Sun, , Muratori, , Nelson, , Jones, , and Logan, . 2020. "Electrification Futures Study Flexible Load Profiles". United States. 293cdf56-7825-4cc1-80ce-3994df02afe8.
@div{oedi_6343, title = {Electrification Futures Study Flexible Load Profiles}, author = {Jadun, , Mai, , Murphy, , Sun, , Muratori, , Nelson, , Jones, , and Logan, .}, 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 = {}, url = {293cdf56-7825-4cc1-80ce-3994df02afe8}, journal = {}, number = , volume = , place = {United States}, year = {2020}, month = {02}}

Details

Data from Feb 4, 2020

Last updated Dec 18, 2024

Submitted Feb 4, 2020

Organization

National Renewable Energy Laboratory

Contact

Paige Jadun

Authors

Jadun

National Renewable Energy Laboratory

Mai

National Renewable Energy Laboratory

Murphy

National Renewable Energy Laboratory

Sun

National Renewable Energy Laboratory

Muratori

National Renewable Energy Laboratory

Nelson

Northern Arizona University

Jones

Evolved Energy Research

Logan

National Renewable Energy Laboratory

DOE Project Details

Project Name Integrated Nuclear Renewable Energy Systems Analysis

Project Number FY17 AOP 2.4.0.3

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