dGen™ (Distributed Generation Market Demand Model) [SWR-17-09]

RESOURCE

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.
Developers:
Preus, Robert [1] Baring-Gould, Ian [1] Margolis, Robert [1] Sigrin, Benjamin [1] Gleason, Michael [1] Drury, Easan [1] Dong, Changgui [2] Das, Paritosh [2] Kwasnik, Ted [2] Gagnon, Peter [2] McCabe, Kevin [2] Blair, Nate [2] Stanley, Trevor [2] Bowen, Thomas [2] Sekar, Ashok [2] Prasanna, Ashreeta [2] Koebrich, Sam [2] Mooney, Meghan [2] Ramdas, Ashwin [2]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. National Renewable Energy Laboratory (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.:
Code ID:
49326
Site Accession Number:
NREL SWR-17-09
Research Org.:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Country of Origin:
United States

RESOURCE

Citation Formats

Preus, Robert, Baring-Gould, Ian, Margolis, Robert, Sigrin, Benjamin, Gleason, Michael, Drury, Easan, Dong, Changgui, Das, Paritosh, Kwasnik, Ted, Gagnon, Peter, McCabe, Kevin, Blair, Nate, Stanley, Trevor, Bowen, Thomas, Sekar, Ashok, Prasanna, Ashreeta, Koebrich, Sam, Mooney, Meghan, and Ramdas, Ashwin. 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. Water Power Technologies Office, USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office, USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office. 20 Apr. 2020. Web. doi:10.11578/dc.20210113.3.
Preus, Robert, Baring-Gould, Ian, Margolis, Robert, Sigrin, Benjamin, Gleason, Michael, Drury, Easan, Dong, Changgui, Das, Paritosh, Kwasnik, Ted, Gagnon, Peter, McCabe, Kevin, Blair, Nate, Stanley, Trevor, Bowen, Thomas, Sekar, Ashok, Prasanna, Ashreeta, Koebrich, Sam, Mooney, Meghan, & Ramdas, Ashwin. (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.20210113.3.
Preus, Robert, Baring-Gould, Ian, Margolis, Robert, Sigrin, Benjamin, Gleason, Michael, Drury, Easan, Dong, Changgui, Das, Paritosh, Kwasnik, Ted, Gagnon, Peter, McCabe, Kevin, Blair, Nate, Stanley, Trevor, Bowen, Thomas, Sekar, Ashok, Prasanna, Ashreeta, Koebrich, Sam, Mooney, Meghan, and Ramdas, Ashwin. "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.20210113.3.
@misc{ doecode_49326,
title = {dGen™ (Distributed Generation Market Demand Model) [SWR-17-09]},
author = {Preus, Robert and Baring-Gould, Ian and Margolis, Robert and Sigrin, Benjamin and Gleason, Michael and Drury, Easan and Dong, Changgui and Das, Paritosh and Kwasnik, Ted and Gagnon, Peter and McCabe, Kevin and Blair, Nate and Stanley, Trevor and Bowen, Thomas and Sekar, Ashok and Prasanna, Ashreeta and Koebrich, Sam and Mooney, Meghan and Ramdas, Ashwin},
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.},
doi = {10.11578/dc.20210113.3},
url = {https://doi.org/10.11578/dc.20210113.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210113.3}},
year = {2020},
month = {apr}
}