"Womp Womp! Your browser does not support canvas :'("

ResStock: Annual Baseline Results with Component Loads

Publicly accessible License 

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

National Renewable Energy Lab. (2023). ResStock: Annual Baseline Results with Component Loads [data set]. Retrieved from https://dx.doi.org/10.25984/2001060.
Export Citation to RIS
Speake, Andrew, Wilson, Eric, Zhou, Yueyue, and Horowitz, Scott. ResStock: Annual Baseline Results with Component Loads. United States: N.p., 03 Mar, 2023. Web. doi: 10.25984/2001060.
Speake, Andrew, Wilson, Eric, Zhou, Yueyue, & Horowitz, Scott. ResStock: Annual Baseline Results with Component Loads. United States. https://dx.doi.org/10.25984/2001060
Speake, Andrew, Wilson, Eric, Zhou, Yueyue, and Horowitz, Scott. 2023. "ResStock: Annual Baseline Results with Component Loads". United States. https://dx.doi.org/10.25984/2001060. https://data.openei.org/submissions/5959.
@div{oedi_5959, title = {ResStock: Annual Baseline Results with Component Loads}, author = {Speake, Andrew, Wilson, Eric, 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. }, doi = {10.25984/2001060}, url = {https://data.openei.org/submissions/5959}, journal = {}, number = , volume = , place = {United States}, year = {2023}, month = {03}}
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

Andrew Speake

National Renewable Energy Lab

Eric Wilson

National Renewable Energy Lab

Yueyue Zhou

National Renewable Energy Lab

Scott Horowitz

National Renewable Energy Lab

DOE Project Details

Project Name ABC Initiative Analysis Support

Project Number FY22 AOP 2.4.1.102

Share

Submission Downloads