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

Joseph F. DeCarolis (Corresponding Author), Paulina Jaramillo, Jeremiah X. Johnson, David L. Mccollum, Evelina Trutnevyte, David C. Daniels, Gökçe Akın-Olçum, Joule Bergerson, Soolyeon Soo, 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, Zhenghong 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 journalArticleScientificpeer-review

    1 Citation (Scopus)

    Abstract

    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
    Pages (from-to)2523-2526
    Number of pages4
    JournalJoule
    Volume4
    Issue number12
    DOIs
    Publication statusPublished - 16 Dec 2020
    MoE publication typeA1 Journal article-refereed

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