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Distributed Solar Technoeconomic Agent Characteristics dSTAC

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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.

Citation Formats

TY - DATA AB - 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. AU - Kwasnik A2 - Sigrin DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - distributed solar PV KW - capacity factor KW - roof KW - agent-based modeling LA - English DA - 2019/02/07 PY - 2019 PB - National Renewable Energy Laboratory T1 - Distributed Solar Technoeconomic Agent Characteristics dSTAC UR - https://data.openei.org/submissions/8187 ER -
Export Citation to RIS
Kwasnik, and Sigrin. Distributed Solar Technoeconomic Agent Characteristics dSTAC. National Renewable Energy Laboratory, 7 February, 2019, NREL. https://data.nrel.gov/submissions/112.
Kwasnik, & Sigrin. (2019). Distributed Solar Technoeconomic Agent Characteristics dSTAC. [Data set]. NREL. National Renewable Energy Laboratory. https://data.nrel.gov/submissions/112
Kwasnik and Sigrin. Distributed Solar Technoeconomic Agent Characteristics dSTAC. National Renewable Energy Laboratory, February, 7, 2019. Distributed by NREL. https://data.nrel.gov/submissions/112
@misc{OEDI_Dataset_8187, title = {Distributed Solar Technoeconomic Agent Characteristics dSTAC}, author = {Kwasnik and Sigrin}, 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.}, url = {https://data.nrel.gov/submissions/112}, year = {2019}, howpublished = {NREL, National Renewable Energy Laboratory, https://data.nrel.gov/submissions/112}, note = {Accessed: 2025-05-29} }

Details

Data from Feb 7, 2019

Last updated Dec 18, 2024

Submitted Feb 7, 2019

Organization

National Renewable Energy Laboratory

Contact

Ted Kwasnik

Authors

Kwasnik

National Renewable Energy Laboratory

Sigrin

National Renewable Energy Laboratory

Research Areas

DOE Project Details

Project Name Mass Market Breakout of Distributed Solar

Project Number GO28308

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