U.S. PV-Suitable Rooftop Resources

This dataset contains zipcode resolution estimates of suitable area on small (1,000-5,000 m^2), medium (5,000-10,000 m^2) and large (>10,000 m^2) buildings' rooftops for PV deployment.
7 Data Resources
Name Size Type Resource Description History
area_azi_tilt_lower.csv 7.63 MB Data Lower bound zipcode-level estimates (from 95% confidence interval) for small building suitability (number of buildings and rooftop area) in each of 21 orientation/tilt classes.
area_azi_tilt.csv 11.63 MB Data Predicted (center estimate) estimates (from 95% confidence interval) for small building suitability (number of buildings and rooftop area) in each of 21 orientation/tilt classes.
area_azi_tilt_upper.csv 12.69 MB Data Upper bound zipcode-level estimates (from 95% confidence interval) for small building suitability (number of buildings and rooftop area) in each of 21 orientation/tilt classes.
area_azi_tilt_medium_large_upper.csv 7.11 KB Data Upper bound census region estimates (from 95% confidence interval) for medium/large building suitability (number of buildings and rooftop area) in each of 21 orientation/tilt classes.
area_azi_tilt_medium_large_lower.csv 4.89 KB Data Lower bound census region estimates (from 95% confidence interval) for medium/large building suitability (number of buildings and rooftop area) in each of 21 orientation/tilt classes.
area_azi_tilt_medium_large.csv 6.62 KB Data Center estimates (from 95% confidence interval) for medium/large building suitability (number of buildings and rooftop area) in each of 21 orientation/tilt classes.
README.md 1.67 KB Document Documentation
Author Information
Caleb Phillips, National Renewable Energy Laboratory
Jenny Melius, National Renewable Energy Laboratory
Cite This Dataset
Phillips, Caleb; Melius, Jenny (2016): U.S. PV-Suitable Rooftop Resources. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/47
About This Dataset
47
10.7799/1258436
Public
06/10/2016
DOE Project
SS13-FY13 AOP Systems Integration
Facilities
High Performance Computing Center (HPC)
Funding Organization
Department of Energy (DOE)
Sponsoring Organization
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
Research Areas
Computational Science
Energy Analysis
Solar Power
Digital Object Identifier
10.7799/1258436