NREL ComStock U.S. Commercial Building Stock Metadata

This NREL ComStock dataset provides comprehensive commercial building-stock metadata for 2021, enabling advanced energy performance analysis. The NREL ComStock dataset comprises detailed building-characteristics metadata for a vast array of sampled models representing the United States commercial building stock. This structured data release offers granular insights into construction types, operational profiles, and mechanical systems essential for large-scale energy modeling. The information is formatted for compatibility with high-performance computing environments, allowing users to cross-reference specific building attributes with simulated end-use load profiles. By providing a standardized, machine-readable record of building stock variables, this dataset serves as a foundational resource for researchers, policy analysts, and engineers conducting rigorous building performance assessments.

The download is a 36.6 MB file containing .PARQUET files.

Professionals typically integrate this Parquet-formatted metadata into data analysis pipelines or simulation environments using Python or R. By joining these building-characteristics files with corresponding hourly load profiles, analysts can perform complex queries to evaluate energy consumption patterns across diverse building archetypes. The data is optimized for efficient processing in large-scale simulation workflows, allowing for rapid filtering and aggregation of specific building types, geographic locations, or mechanical system configurations within the broader ComStock framework.