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Distributed Generation Market Demand (dGen) model

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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 -
Export Citation to RIS
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: 2025-05-08}, 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

Trevor Stanley

National Renewable Energy Laboratory NREL

Nate Blair

National Renewable Energy Laboratory NREL

Thomas Bowen

National Renewable Energy Laboratory NREL

Paritosh Das

National Renewable Energy Laboratory NREL

Sam Koebrich

National Renewable Energy Laboratory NREL

Kevin McCabe

National Renewable Energy Laboratory NREL

Ashreeta Prasanna

National Renewable Energy Laboratory NREL

Ashwin Ramdas

National Renewable Energy Laboratory NREL

Ashok Sekar

National Renewable Energy Laboratory NREL

Ben Sigrin

National Renewable Energy Laboratory NREL

DOE Project Details

Project Name Wind and EERE-Solar 32307 and 1.2.5.401

Project Number 32307

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