Leveraging Open-Source Tools for Collaborative Macro-Energy System Modeling Efforts

Joseph DeCarolis, Paulina Jaramillo, Jeremiah Johnson, David McCollum, Evelina Trutnevyte, David Daniels, Gokce Akin-Olcum, Joule Bergerson, Soolyeon Cho, Joon-Ho Choi, Michael Craig, Anderson de Queiroz, Hadi Eshraghi, Christopher Galik, Timothy Gutowski, Karl Haapala, Bri-Mathias Hodge, Simi Hoque, Jesse Jenkins, Alan JennDaniel Johansson, Noah Kaufman, Juha Kiviluoma, Zhenhong Lin, Heather MacLean, Eric Masanet, Mohammad Masnadi, Colin McMillan, Destenie Nock, Neha Patankar, Dalia Patino-Echeverri, Greg Schively, Sauleh Siddiqui, Amanda Smith, Aranya Venkatesh, Gernot Wagner, Sonia Yeh, Yuyu Zhou

Research output: Contribution to journalArticlepeer-review

16 Scopus Citations


The authors are founding team members of a new effort to develop an Open Energy Outlook for the United States. The effort aims to apply best practices of policy-focused energy system modeling, ensure transparency, build a networked community, and work toward a common purpose: examining possible US energy system futures to inform energy and climate policy efforts. Individual author biographies can be found on the project website: https://openenergyoutlook.org/. DeCarolis et al. articulate the benefits of forming collaborative teams with a wide array of disciplinary and domain expertise to conduct analysis with macro-energy system models. Open-source models, tools, and datasets underpin such efforts by enabling transparency, accessibility, and replicability among team members and with the broader modeling community.

Original languageAmerican English
Pages (from-to)2523-2526
Number of pages4
Issue number12
StatePublished - 16 Dec 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Inc.

NREL Publication Number

  • NREL/JA-6A20-78820


  • climate policy
  • collaborative teams
  • domain expertise
  • energy policy
  • energy system model
  • model communities
  • networked communities
  • open source model
  • open source tools


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