
This NREL ComStock 2024 dataset provides comprehensive building characteristics and annual energy simulation results for Manhattan. This dataset delivers granular, baseline building-characteristics metadata alongside annual energy performance outcomes for a representative sample of commercial building stock in New York County, NY. Released as part of the 2024 ComStock initiative, the information is structured to support large-scale energy modeling and policy analysis. The content encompasses diverse commercial building types, providing essential parameters such as operational profiles, building envelope specifications, and HVAC system configurations. These data points are derived from advanced simulation workflows, offering a robust foundation for benchmarking existing building energy consumption against standardized performance metrics and projected future efficiency targets.
The download is a 19.6 MB file containing .PARQUET files.
Professionals can ingest this Parquet-formatted data into analytical environments such as Python, R, or specialized energy modeling software. By leveraging these files, users can perform statistical analysis, develop building stock energy models, or calibrate performance simulations against local Manhattan benchmarks. The structured format allows for efficient querying and filtering of specific building archetypes, enabling the rapid extraction of relevant metadata to inform early-stage design decisions, energy auditing processes, or urban-scale sustainability planning and retrofitting strategies.
NREL ComStock 2024 New York County Commercial Building Dataset
Free
Ideal for urban planners, MEP engineers, and sustainability consultants, this dataset is an essential resource for commercial building projects in dense urban environments. It assists in the development of baseline energy models, supporting evidence-based design for major renovations or new construction. Researchers and policy analysts will find this data invaluable for assessing building performance trends across Manhattan. When paired with local climate data and zoning information, it provides a comprehensive basis for evaluating energy efficiency potential in complex, high-density metropolitan contexts.
File formats
What changed in 1.0.0
Initial release.
CC BY 4.0
Attribution: National Renewable Energy Laboratory (NREL), U.S. Department of Energy — licensed under CC-BY-4.0
Full terms have not been published for this listing. Contact the seller before using it on a commercial project.