Distributed Solar Technoeconomic Agent Characteristics dSTAC

These data files summarize key techno-economic metrics used in the NREL dGen model for modeling adoption of distributed solar by representative residential commercial and industrial entities for each county in the continental United States. As described further below many of the metrics are derived as summaries of outputs from dGen. Specifically each county and sector in these file are summarized as a single agent that is the weighted average of 10 statistically-representative agents weighed by the statistical frequency. The dGen simulation used to derive this dataset was conducted in 2018 using the NREL 2018 Standard Scenario Mid Case assumptions.

Data and Resources

Field Value
accessLevel public
bureauCode {019:20}
catalog_@context https://openei.org/data.json
catalog_@id https://openei.org/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
dataQuality true
identifier https://data.openei.org/submissions/8187
issued 2019-02-07T18:34:37Z
landingPage https://data.nrel.gov/submissions/112
license https://creativecommons.org/licenses/by/4.0/
modified 2025-07-22T21:43:13Z
programCode {019:008}
projectNumber GO28308
projectTitle Mass Market Breakout of Distributed Solar
publisher National Renewable Energy Laboratory
resource-type Dataset
source_datajson_identifier true
source_hash 763107c58fc0b72ef744ac99e8f2230878886fd9994836aebfd87ab43639781b
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • agent-based-modeling
  • capacity-factor
  • distributed-solar-pv
  • roof
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Ted Kwasnik
maintainer_email Ted.Kwasnik@nrel.gov
metadata_created 2025-09-24T02:30:12.934633
metadata_modified 2025-09-24T02:30:12.934643
notes These data files summarize key techno-economic metrics used in the NREL dGen model for modeling adoption of distributed solar by representative residential commercial and industrial entities for each county in the continental United States. As described further below many of the metrics are derived as summaries of outputs from dGen. Specifically each county and sector in these file are summarized as a single agent that is the weighted average of 10 statistically-representative agents weighed by the statistical frequency. The dGen simulation used to derive this dataset was conducted in 2018 using the NREL 2018 Standard Scenario Mid Case assumptions.
num_resources 51
num_tags 12
title Distributed Solar Technoeconomic Agent Characteristics dSTAC