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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.

- Originated 06/14/2016 by National Renewable Energy Laboratory.

7 Resources

 NameSizeTypeResource Description
 area_azi_tilt_lower.csv7997110dataLower 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.csv12196243dataPredicted (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.csv13302333dataUpper 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.csv7281dataUpper 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.csv5010dataLower 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.csv6778dataCenter estimates (from 95% confidence interval) for medium/large building suitability (number of buildings and rooftop area) in each of 21 orientation/tilt classes.
 README.md1709otherDocumentation

Keywords

NREL energy data photovoltaic rooftop solar resource prediction zipcode renewable energy RE PV USA

Submitted

•  JUN  • 10 2016

National Renewable Energy Laboratory

by , 303.275.4297, Center 2C00

Authors

License

NREL Disclaimer

Cite this dataset:

Phillips, Caleb; Melius, Jenny (2016): U.S. PV-Suitable Rooftop Resources. National Renewable Energy Laboratory. https://dx.doi.org/10.7799/1258436

About this dataset

id 47
DOI 10.7799/1258436
status Publicly accessible
last updated over a year ago

DOE Project

FY13 AOP SS13-FY13 AOP Systems Integration

Research Areas

  • Computational Science
  • Energy Analysis
  • Solar Power

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