Distributed Generation Market Demand (dGen) model
The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sectors, locations, and customers for whom adopting DERs would have a high economic value, for generating forecasts as an input to estimate distribution hosting capacity analysis, integrated resource planning, and load forecasting, and for understanding the economic or policy conditions in which DER adoption becomes viable, and for illustrating sensitivity to market and policy changes such as retail electricity rate structures, net energy metering, and technology costs.
Citation Formats
TY - DATA
AB - The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sectors, locations, and customers for whom adopting DERs would have a high economic value, for generating forecasts as an input to estimate distribution hosting capacity analysis, integrated resource planning, and load forecasting, and for understanding the economic or policy conditions in which DER adoption becomes viable, and for illustrating sensitivity to market and policy changes such as retail electricity rate structures, net energy metering, and technology costs.
AU - Stanley, Trevor
A2 - Blair, Nate
A3 - Bowen, Thomas
A4 - Das, Paritosh
A5 - Koebrich, Sam
A6 - McCabe, Kevin
A7 - Prasanna, Ashreeta
A8 - Ramdas, Ashwin
A9 - Sekar, Ashok
A10 - Sigrin, Ben
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1804719
KW - energy
KW - distributed
KW - solar
KW - bass diffusion
KW - model
KW - geosptatial
KW - DER
KW - distributed energy resource
KW - dGen
KW - Distributed Generation Market Demand
KW - wind
KW - modeling
KW - economics
KW - forecast
KW - AWS
KW - GitHub
KW - database
KW - Database of State Incentives for Renewables Efficiency
KW - CSP
KW - diffusion
KW - market
LA - English
DA - 2020/10/16
PY - 2020
PB - National Renewable Energy Laboratory (NREL)
T1 - Distributed Generation Market Demand (dGen) model
UR - https://doi.org/10.25984/1804719
ER -
Stanley, Trevor, et al. Distributed Generation Market Demand (dGen) model. National Renewable Energy Laboratory (NREL), 16 October, 2020, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1804719.
Stanley, T., Blair, N., Bowen, T., Das, P., Koebrich, S., McCabe, K., Prasanna, A., Ramdas, A., Sekar, A., & Sigrin, B. (2020). Distributed Generation Market Demand (dGen) model. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory (NREL). https://doi.org/10.25984/1804719
Stanley, Trevor, Nate Blair, Thomas Bowen, Paritosh Das, Sam Koebrich, Kevin McCabe, Ashreeta Prasanna, Ashwin Ramdas, Ashok Sekar, and Ben Sigrin. Distributed Generation Market Demand (dGen) model. National Renewable Energy Laboratory (NREL), October, 16, 2020. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1804719
@misc{OEDI_Dataset_1931,
title = {Distributed Generation Market Demand (dGen) model},
author = {Stanley, Trevor and Blair, Nate and Bowen, Thomas and Das, Paritosh and Koebrich, Sam and McCabe, Kevin and Prasanna, Ashreeta and Ramdas, Ashwin and Sekar, Ashok and Sigrin, Ben},
abstractNote = {The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States or other countries through 2050. The dGen model can be used for identifying the sectors, locations, and customers for whom adopting DERs would have a high economic value, for generating forecasts as an input to estimate distribution hosting capacity analysis, integrated resource planning, and load forecasting, and for understanding the economic or policy conditions in which DER adoption becomes viable, and for illustrating sensitivity to market and policy changes such as retail electricity rate structures, net energy metering, and technology costs. },
url = {https://data.openei.org/submissions/1931},
year = {2020},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory (NREL), https://doi.org/10.25984/1804719},
note = {Accessed: 2025-05-29},
doi = {10.25984/1804719}
}
https://dx.doi.org/10.25984/1804719
Details
Data from Oct 16, 2020
Last updated Jun 14, 2024
Submitted Oct 16, 2020
Organization
National Renewable Energy Laboratory (NREL)
Contact
Trevor Stanley
303.275.4403
Authors
Research Areas
Keywords
energy, distributed, solar, bass diffusion, model, geosptatial, DER, distributed energy resource, dGen, Distributed Generation Market Demand, wind, modeling, economics, forecast, AWS, GitHub, database, Database of State Incentives for Renewables Efficiency, CSP, diffusion, marketDOE Project Details
Project Name Wind and EERE-Solar 32307 and 1.2.5.401
Project Number 32307
