Electric Technology Adoption and Energy Consumption
Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrification medium electrification high electrification electrification potential and low electricity growth. Each scenario assumes moderate technology advancement as described by Jadun et al. 2017 https://www.nlr.gov/docs/fy18osti/70485.pdf.
Citation Formats
TY - DATA
AB - Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrification medium electrification high electrification electrification potential and low electricity growth. Each scenario assumes moderate technology advancement as described by Jadun et al. 2017 https://www.nlr.gov/docs/fy18osti/70485.pdf.
AU - Mai, Trieu
A2 - Jadun, Paige
A3 - Logan, Jeffrey
A4 - McMillan, Colin
A5 - Muratori, Matteo
A6 - Steinberg, Daniel
A7 - Vimmerstedt, Laura
A8 - Jones, Ryan
A9 - Haley, Benjamin
A10 - Nelson, Brent
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Laboratory of the Rockies
DO -
KW - electrification
KW - buildings
KW - transportation
KW - industry
KW - Electrification Futures Study
KW - EFS
KW - United States
KW - end-use technologies
KW - electrotechnologies
KW - energy transitions
KW - 2017-2050
LA - English
DA - 2018/07/06
PY - 2018
PB - National Renewable Energy Laboratory
T1 - Electric Technology Adoption and Energy Consumption
UR - https://data.openei.org/submissions/8179
ER -
Mai, Trieu, et al. Electric Technology Adoption and Energy Consumption. National Renewable Energy Laboratory, 6 July, 2018, NREL. https://data.nlr.gov/submissions/92.
Mai, T., Jadun, P., Logan, J., McMillan, C., Muratori, M., Steinberg, D., Vimmerstedt, L., Jones, R., Haley, B., & Nelson, B. (2018). Electric Technology Adoption and Energy Consumption. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nlr.gov/submissions/92
Mai, Trieu, Paige Jadun, Jeffrey Logan, Colin McMillan, Matteo Muratori, Daniel Steinberg, Laura Vimmerstedt, Ryan Jones, Benjamin Haley, and Brent Nelson. Electric Technology Adoption and Energy Consumption. National Renewable Energy Laboratory, July, 6, 2018. Distributed by NREL. https://data.nlr.gov/submissions/92
@misc{OEDI_Dataset_8179,
title = {Electric Technology Adoption and Energy Consumption},
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, Benjamin and Nelson, Brent},
abstractNote = {Scenario data from the Electrification Futures Study Scenarios of Electric Technology Adoption and Power Consumption for the United States report. Annual projections from 2017 to 2050 of electric technology adoption and energy consumption for five scenarios reference electrification medium electrification high electrification electrification potential and low electricity growth. Each scenario assumes moderate technology advancement as described by Jadun et al. 2017 https://www.nlr.gov/docs/fy18osti/70485.pdf.},
url = {https://data.nlr.gov/submissions/92},
year = {2018},
howpublished = {NREL, National Renewable Energy Laboratory, https://data.nlr.gov/submissions/92},
note = {Accessed: 2026-07-28}
}
Details
Data from Jul 6, 2018
Last updated Mar 12, 2026
Submitted Jul 6, 2018
Organization
National Renewable Energy Laboratory
Contact
Colin McMillan
Authors
Original Source
https://data.nlr.gov/submissions/92Research Areas
Keywords
electrification, buildings, transportation, industry, Electrification Futures Study, EFS, United States, end-use technologies, electrotechnologies, energy transitions, 2017-2050DOE Project Details
Project Name Integrated Nuclear Renewable Energy Systems Analysis
Project Number FY17 AOP 2.4.0.3

