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Electrification Futures Study Load Profiles

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)...

Mai. . et al National Renewable Energy Laboratory

Jan 14, 2020
9 Resources
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City and County Energy Profiles

The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more p...

Day, M. National Renewable Energy Laboratory

Dec 20, 2019
5 Resources
1 Stars
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City and County Commercial Building Inventories

The Commercial Building Inventories provide modeled data on commercial building type, vintage, and area for each U.S. city and county. Please note this data is modeled and more precise data may be available through county assessors or other sources. Commercial building stock data ...

Day, M. et al National Renewable Energy Laboratory

Apr 01, 2020
9 Resources
1 Stars
Publicly accessible

ResStock: Annual Baseline Results with Component Loads

The ResStock Analysis Tool was developed by NREL with support from the U.S. Department of Energy to provide a new approach to large-scale residential analysis by combining large public and private data sources, statistical sampling, detailed sub hourly building simulations, and hi...

Speake, A. et al National Renewable Energy Lab

Mar 03, 2023
6 Resources
0 Stars
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1D Heat Loss Models Validation Experiment

Contains data from the model validation in the 1D Heat Loss Models to Predict the Aquifer Temperature Profile during Hot/Cold Water Injection Project. The data include two COMSOL models (2D axisymmetric benchmark model and 2D Vinsome model), one python code (1D Vinsome based FEM n...

Chen, K. et al UC Berkeley

Jan 18, 2022
8 Resources
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Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States

Note: This dataset has been superseded by the dataset found at "End-Use Load Profiles for the U.S. Building Stock" (submission 4520; linked in the submission resources), which is a comprehensive and validated representation of hourly load profiles in the U.S. commercial and reside...

Ong, S. and Clark, N. National Renewable Energy Laboratory

Nov 25, 2014
22 Resources
1 Stars
Publicly accessible

Greenbuilt Construction Energy Efficiency Retrofit House Demonstration Sacramento

One of the homes that was part of Sacramento Municipal Utility District's (SMUD) Energy Efficiency Retrofit Demonstration (EERD) project was a 1980's era home in Fair Oaks, California, referred to as the Greenbuilt house, as Greenbuilt Construction completed the retrofit of the h...

Sparn, B. et al Mountain Energy Partnership

Aug 27, 2018
8 Resources
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Electrification Futures Study Flexible Load Profiles

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 flexibil...

Jadun. . et al National Renewable Energy Laboratory

Feb 04, 2020
3 Resources
0 Stars
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Simulated Load Profiles for DOE Commercial Reference Buildings (17 Years Using NSRDB Data)

This data set consists of simulated load profiles (1998-2014, 30 minute profile) for commercial customers using the Pacific Northwest National Laboratory residential prototype building models and the US Department of Energy's (DOE) commercial reference building models made for Ene...

Darghouth, N. Lawrence Berkeley National Laboratory

Sep 16, 2016
23 Resources
1 Stars
In curation

End-Use Load Profiles for the U.S. Building Stock

The United States is embarking on an ambitious transition to a 100% clean energy economy by 2050, which will require improving the flexibility of electric grids. One way to achieve grid flexibility is to shed or shift demand to align with changing grid needs. To facilitate this, i...

Wilson, E. et al National Renewable Energy Laboratory (NREL)

Oct 14, 2021
8 Resources
2 Stars
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