Distributed Solar Technoeconomic Agent Characteristics dSTAC
Abstract
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 https//www.nrel.gov/docs/fy19osti/71913.pdf.
- Authors:
-
- National Renewable Energy Laboratory
- Publication Date:
- Other Number(s):
- 112
- Research Org.:
- National Renewable Energy Laboratory - Data (NREL-DATA), Golden, CO (United States); National Renewable Energy Laboratory
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- Collaborations:
- National Renewable Energy Laboratory
- Subject:
- NREL; agent-based modeling; capacity factor; data; distributed solar PV; energy; roof
- OSTI Identifier:
- 1499029
- DOI:
- https://doi.org/10.7799/1499029
Citation Formats
Kwasnik, Ted, and Sigrin, Benjamin. Distributed Solar Technoeconomic Agent Characteristics dSTAC. United States: N. p., 2019.
Web. doi:10.7799/1499029.
Kwasnik, Ted, & Sigrin, Benjamin. Distributed Solar Technoeconomic Agent Characteristics dSTAC. United States. doi:https://doi.org/10.7799/1499029
Kwasnik, Ted, and Sigrin, Benjamin. 2019.
"Distributed Solar Technoeconomic Agent Characteristics dSTAC". United States. doi:https://doi.org/10.7799/1499029. https://www.osti.gov/servlets/purl/1499029. Pub date:Thu Feb 07 04:00:00 UTC 2019
@article{osti_1499029,
title = {Distributed Solar Technoeconomic Agent Characteristics dSTAC},
author = {Kwasnik, Ted and Sigrin, Benjamin},
abstractNote = {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 https//www.nrel.gov/docs/fy19osti/71913.pdf.},
doi = {10.7799/1499029},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Feb 07 04:00:00 UTC 2019},
month = {Thu Feb 07 04:00:00 UTC 2019}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
