Rooftop Energy Potential of Low Income Communities in America REPLICA
The Rooftop Energy Potential of Low Income Communities in America REPLICA data set provides estimates of residential rooftop solar technical potential at the tract-level with emphasis on estimates for Low and Moderate Income LMI populations. In addition to technical potential REPLICA is comprised of 10 additional datasets at the tract-level to provide socio-demographic and market context. The model year vintage of REPLICA is 2015. The LMI solar potential estimates are made at the tract level grouped by Area Median Income AMI income tenure and building type. These estimates are based off of LiDAR data of 128 metropolitan areas statistical modeling and ACS 2011-2015 demographic data. The remaining datasets are supplemental datasets that can be used in conjunction with the technical potential data for general LMI solar analysis planning and policy making. The core dataset is a wide-format CSV file seeds_ii_replica.csv that can be tagged to a tract geometry using the GEOID or GISJOIN fields. In addition users can download geographic shapefiles for the main or supplemental datasets. This dataset was generated as part of the larger NREL-led SEEDSII Solar Energy Evolution and Diffusion Studies project and specifically for the NREL technical report titled Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States by Sigrin and Mooney 2018. This dataset is intended to give researchers planners advocates and policy-makers access to credible data to analyze low-income solar issues and potentially perform cost-benefit analysis for program design. To explore the data in an interactive web mapping environment use the NREL SolarForAll app.
Citation Formats
National Renewable Energy Laboratory. (2018). Rooftop Energy Potential of Low Income Communities in America REPLICA [data set]. Retrieved from 0232f30c-1199-4b7d-98aa-a918d84f67c5.
Mooney, , Sigrin, . Rooftop Energy Potential of Low Income Communities in America REPLICA. United States: N.p., 03 Apr, 2018. Web. 0232f30c-1199-4b7d-98aa-a918d84f67c5.
Mooney, , Sigrin, . Rooftop Energy Potential of Low Income Communities in America REPLICA. United States. 0232f30c-1199-4b7d-98aa-a918d84f67c5
Mooney, , Sigrin, . 2018. "Rooftop Energy Potential of Low Income Communities in America REPLICA". United States. 0232f30c-1199-4b7d-98aa-a918d84f67c5.
@div{oedi_6317, title = {Rooftop Energy Potential of Low Income Communities in America REPLICA}, author = {Mooney, , Sigrin, .}, abstractNote = {The Rooftop Energy Potential of Low Income Communities in America REPLICA data set provides estimates of residential rooftop solar technical potential at the tract-level with emphasis on estimates for Low and Moderate Income LMI populations. In addition to technical potential REPLICA is comprised of 10 additional datasets at the tract-level to provide socio-demographic and market context. The model year vintage of REPLICA is 2015. The LMI solar potential estimates are made at the tract level grouped by Area Median Income AMI income tenure and building type. These estimates are based off of LiDAR data of 128 metropolitan areas statistical modeling and ACS 2011-2015 demographic data. The remaining datasets are supplemental datasets that can be used in conjunction with the technical potential data for general LMI solar analysis planning and policy making. The core dataset is a wide-format CSV file seeds_ii_replica.csv that can be tagged to a tract geometry using the GEOID or GISJOIN fields. In addition users can download geographic shapefiles for the main or supplemental datasets. This dataset was generated as part of the larger NREL-led SEEDSII Solar Energy Evolution and Diffusion Studies project and specifically for the NREL technical report titled Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States by Sigrin and Mooney 2018. This dataset is intended to give researchers planners advocates and policy-makers access to credible data to analyze low-income solar issues and potentially perform cost-benefit analysis for program design. To explore the data in an interactive web mapping environment use the NREL SolarForAll app.}, doi = {}, url = {0232f30c-1199-4b7d-98aa-a918d84f67c5}, journal = {}, number = , volume = , place = {United States}, year = {2018}, month = {04}}
Details
Data from Apr 3, 2018
Last updated Dec 18, 2024
Submitted Apr 3, 2018
Organization
National Renewable Energy Laboratory
Contact
Meghan Mooney
Authors
Original Source
0232f30c-1199-4b7d-98aa-a918d84f67c5Research Areas
Keywords
low income, low and moderate income, LMI, PV, rooftop, technical potential, solar for all, photovoltaic, solar, tract, prediction, USA, LiDAR, residential, 2011-2015, demographic data, cost-benefit analysisDOE Project Details
Project Name Unlocking Widespread Solar Adoption Understanding Preferences of Low- to Moderate-Income Households to Create Scalable Sustainable Models
Project Number EE0032307
