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 high-performance computing. This combination achieves unprecedented granularity and accuracy in modeling the diversity of the housing stock and the distributional impacts of building technologies in different communities.
The annual baseline energy results from a national-scale ResStock run use typical meteorological year 3 (TMY3) files for energy simulations. Results include heating and cooling loads for individual components of each building. Component loads describe the heating/cooling load that can be attributed to specific elements of a home, such as heat transfer through walls or internal gains. Additionally, these results include the standard ResStock outputs for housing characteristics and numerous energy outputs by end-use and fuel.
A snapshot of the ResStock version used to produce this data, including a configuration file for the run can be found using the Source Code resource link.
Citation Formats
TY - DATA
AB - 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 high-performance computing. This combination achieves unprecedented granularity and accuracy in modeling the diversity of the housing stock and the distributional impacts of building technologies in different communities.
The annual baseline energy results from a national-scale ResStock run use typical meteorological year 3 (TMY3) files for energy simulations. Results include heating and cooling loads for individual components of each building. Component loads describe the heating/cooling load that can be attributed to specific elements of a home, such as heat transfer through walls or internal gains. Additionally, these results include the standard ResStock outputs for housing characteristics and numerous energy outputs by end-use and fuel.
A snapshot of the ResStock version used to produce this data, including a configuration file for the run can be found using the Source Code resource link.
AU - Speake, Andrew
A2 - Wilson, Eric
A3 - Zhou, Yueyue
A4 - Horowitz, Scott
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/2001060
KW - ResStock
KW - buildings
KW - energy modeling
KW - energy
KW - heat transfer
KW - energy efficiency
KW - building stock modeling
KW - buildings efficiency
KW - residential
KW - component load
KW - building stock
KW - modeling
KW - heating load
KW - cooling load
KW - power
KW - United States
KW - housing stock
LA - English
DA - 2023/03/03
PY - 2023
PB - National Renewable Energy Lab
T1 - ResStock: Annual Baseline Results with Component Loads
UR - https://doi.org/10.25984/2001060
ER -
Speake, Andrew, et al. ResStock: Annual Baseline Results with Component Loads. National Renewable Energy Lab, 3 March, 2023, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/2001060.
Speake, A., Wilson, E., Zhou, Y., & Horowitz, S. (2023). ResStock: Annual Baseline Results with Component Loads. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Lab. https://doi.org/10.25984/2001060
Speake, Andrew, Eric Wilson, Yueyue Zhou, and Scott Horowitz. ResStock: Annual Baseline Results with Component Loads. National Renewable Energy Lab, March, 3, 2023. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/2001060
@misc{OEDI_Dataset_5959,
title = {ResStock: Annual Baseline Results with Component Loads},
author = {Speake, Andrew and Wilson, Eric and Zhou, Yueyue and Horowitz, Scott},
abstractNote = {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 high-performance computing. This combination achieves unprecedented granularity and accuracy in modeling the diversity of the housing stock and the distributional impacts of building technologies in different communities.
The annual baseline energy results from a national-scale ResStock run use typical meteorological year 3 (TMY3) files for energy simulations. Results include heating and cooling loads for individual components of each building. Component loads describe the heating/cooling load that can be attributed to specific elements of a home, such as heat transfer through walls or internal gains. Additionally, these results include the standard ResStock outputs for housing characteristics and numerous energy outputs by end-use and fuel.
A snapshot of the ResStock version used to produce this data, including a configuration file for the run can be found using the Source Code resource link. },
url = {https://data.openei.org/submissions/5959},
year = {2023},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Lab, https://doi.org/10.25984/2001060},
note = {Accessed: 2025-04-25},
doi = {10.25984/2001060}
}
https://dx.doi.org/10.25984/2001060
Details
Data from Mar 3, 2023
Last updated Jun 14, 2024
Submitted Aug 30, 2023
Organization
National Renewable Energy Lab
Contact
Andrew Speake
Authors
Research Areas
Keywords
ResStock, buildings, energy modeling, energy, heat transfer, energy efficiency, building stock modeling, buildings efficiency, residential, component load, building stock, modeling, heating load, cooling load, power, United States, housing stockDOE Project Details
Project Name ABC Initiative Analysis Support
Project Number FY22 AOP 2.4.1.102
