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

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

Research output: Contribution to journalComment/debatepeer-review

18 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 languageEnglish (US)
Pages (from-to)2523-2526
Number of pages4
Issue number12
StatePublished - Dec 16 2020

All Science Journal Classification (ASJC) codes

  • General Energy


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