Block Scale Rooftop Solar Technical Potential for the City of Orlando
Abstract
The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for the city of Orlando in Florida. The rooftop solar technical potential information is based on data from two different datasets. The first dataset is LiDAR data for the city of Orlando obtained from the Orlando Utilities Commission (OUC) (Koebrich et al. 2021). The second dataset is a national parcel dataset (HIFLD 2020) which contains descriptive data and geometries for parcels in the U.S. Parcel scale data from both these datasets have been processed and aggregated to block scale to produce these html maps. The first html map (block scale developable roof area for Orlando) contains the developable roof area for solar. The second html map (block scale rooftop solar technical potential for Orlando) contains the rooftop solar technical potential in units of kilowatts as well as additional information on the most common building use type and the most common building occupancy type for the block. These html maps are provided to demonstrate the proof-of-concept analysis conducted for Orlando.
- Authors:
-
- Integrated Applications Center
- Publication Date:
- Other Number(s):
- DE-AC36-08GO28308
- DOE Contract Number:
- DE-AC36-08GO28308
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Subject:
- 14 SOLAR ENERGY; 17 WIND ENERGY; 29 ENERGY PLANNING, POLICY, AND ECONOMY
- Keywords:
- rooftop solar; parcel scale; solar technical potential; Orlando; PV; building roof area
- OSTI Identifier:
- 1832477
- DOI:
- https://doi.org/10.7799/1832477
Citation Formats
Prasanna, Ashreeta, Sigrin, Benjamin, and McCabe, Kevin. Block Scale Rooftop Solar Technical Potential for the City of Orlando. United States: N. p., 2021.
Web. doi:10.7799/1832477.
Prasanna, Ashreeta, Sigrin, Benjamin, & McCabe, Kevin. Block Scale Rooftop Solar Technical Potential for the City of Orlando. United States. doi:https://doi.org/10.7799/1832477
Prasanna, Ashreeta, Sigrin, Benjamin, and McCabe, Kevin. 2021.
"Block Scale Rooftop Solar Technical Potential for the City of Orlando". United States. doi:https://doi.org/10.7799/1832477. https://www.osti.gov/servlets/purl/1832477. Pub date:Wed Nov 24 00:00:00 EST 2021
@article{osti_1832477,
title = {Block Scale Rooftop Solar Technical Potential for the City of Orlando},
author = {Prasanna, Ashreeta and Sigrin, Benjamin and McCabe, Kevin},
abstractNote = {The html maps are provided as supplementary information for the publication titled Parcel Scale Assessment of Rooftop Solar Technical Potential (NREL/PR-7A40-80780). The maps contain information on rooftop solar technical potential at the block scale for the city of Orlando in Florida. The rooftop solar technical potential information is based on data from two different datasets. The first dataset is LiDAR data for the city of Orlando obtained from the Orlando Utilities Commission (OUC) (Koebrich et al. 2021). The second dataset is a national parcel dataset (HIFLD 2020) which contains descriptive data and geometries for parcels in the U.S. Parcel scale data from both these datasets have been processed and aggregated to block scale to produce these html maps. The first html map (block scale developable roof area for Orlando) contains the developable roof area for solar. The second html map (block scale rooftop solar technical potential for Orlando) contains the rooftop solar technical potential in units of kilowatts as well as additional information on the most common building use type and the most common building occupancy type for the block. These html maps are provided to demonstrate the proof-of-concept analysis conducted for Orlando.},
doi = {10.7799/1832477},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {11}
}