Abstract
The Distributed Generation Market Demand (dGen™) model is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050. The National Renewable Energy Laboratory (NREL) developed dGen to analyze the key factors that will affect future market demand for distributed solar, wind, storage, and other DER technologies in the United States within a single modeling platform. The dGen model builds on, extends, and provides significant advances over NREL’s SolarDS model (Denholm et al. 2009), which is now deprecated. All Authors and Contributors are alphabetized in the Developers section with Authors of Code listed first, followed by Contributors and do not reflect equal contributions.
- Developers:
-
Sigrin, Benjamin [1] ; Das, Paritosh [1] ; Drury, Easan [1] ; Gagnon, Pieter [1] ; Gleason, Michael [1] ; Koebrich, Sam [1] ; Kwasnik, Ted [1] ; Mooney, Meghan [1] ; McCabe, Kevin [1] ; Ramdas, Ashwin [1] ; Stanley, Trevor [1] ; Blair, Nate [1] ; Bowen, Thomas [1] ; Dong, Changgui [1] ; Baring-Gould, Ian [1] ; Margolis, Robert [1] ; Prasanna, Ashreeta [1] ; Preus, Robert [1] ; Sekar, Ashok [1]
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Release Date:
- 2020-04-20
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python
Jupyter Notebook
- Version:
- 1.0.0
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies OfficePrimary Award/Contract Number:AC36-08GO28308USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies OfficePrimary Award/Contract Number:AC36-08GO28308USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies OfficePrimary Award/Contract Number:AC36-08GO28308
- Code ID:
- 44168
- Site Accession Number:
- NREL SWR-17-09
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Country of Origin:
- United States
Citation Formats
Sigrin, Benjamin, Das, Paritosh, Drury, Easan, Gagnon, Pieter, Gleason, Michael, Koebrich, Sam, Kwasnik, Ted, Mooney, Meghan, McCabe, Kevin, Ramdas, Ashwin, Stanley, Trevor, Blair, Nate, Bowen, Thomas, Dong, Changgui, Baring-Gould, Ian, Margolis, Robert, Prasanna, Ashreeta, Preus, Robert, and Sekar, Ashok.
dGen™ (Distributed Generation Market Demand Model) [SWR-17-09].
Computer Software.
https://github.com/NREL/dgen.
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office, USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office, USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office.
20 Apr. 2020.
Web.
doi:10.11578/dc.20201028.1.
Sigrin, Benjamin, Das, Paritosh, Drury, Easan, Gagnon, Pieter, Gleason, Michael, Koebrich, Sam, Kwasnik, Ted, Mooney, Meghan, McCabe, Kevin, Ramdas, Ashwin, Stanley, Trevor, Blair, Nate, Bowen, Thomas, Dong, Changgui, Baring-Gould, Ian, Margolis, Robert, Prasanna, Ashreeta, Preus, Robert, & Sekar, Ashok.
(2020, April 20).
dGen™ (Distributed Generation Market Demand Model) [SWR-17-09].
[Computer software].
https://github.com/NREL/dgen.
https://doi.org/10.11578/dc.20201028.1.
Sigrin, Benjamin, Das, Paritosh, Drury, Easan, Gagnon, Pieter, Gleason, Michael, Koebrich, Sam, Kwasnik, Ted, Mooney, Meghan, McCabe, Kevin, Ramdas, Ashwin, Stanley, Trevor, Blair, Nate, Bowen, Thomas, Dong, Changgui, Baring-Gould, Ian, Margolis, Robert, Prasanna, Ashreeta, Preus, Robert, and Sekar, Ashok.
"dGen™ (Distributed Generation Market Demand Model) [SWR-17-09]." Computer software.
April 20, 2020.
https://github.com/NREL/dgen.
https://doi.org/10.11578/dc.20201028.1.
@misc{
doecode_44168,
title = {dGen™ (Distributed Generation Market Demand Model) [SWR-17-09]},
author = {Sigrin, Benjamin and Das, Paritosh and Drury, Easan and Gagnon, Pieter and Gleason, Michael and Koebrich, Sam and Kwasnik, Ted and Mooney, Meghan and McCabe, Kevin and Ramdas, Ashwin and Stanley, Trevor and Blair, Nate and Bowen, Thomas and Dong, Changgui and Baring-Gould, Ian and Margolis, Robert and Prasanna, Ashreeta and Preus, Robert and Sekar, Ashok},
abstractNote = {The Distributed Generation Market Demand (dGen™) model is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050. The National Renewable Energy Laboratory (NREL) developed dGen to analyze the key factors that will affect future market demand for distributed solar, wind, storage, and other DER technologies in the United States within a single modeling platform. The dGen model builds on, extends, and provides significant advances over NREL’s SolarDS model (Denholm et al. 2009), which is now deprecated. All Authors and Contributors are alphabetized in the Developers section with Authors of Code listed first, followed by Contributors and do not reflect equal contributions.},
doi = {10.11578/dc.20201028.1},
url = {https://doi.org/10.11578/dc.20201028.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20201028.1}},
year = {2020},
month = {apr}
}