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 Jenn
  • Daniel 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

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 (US)
Pages (from-to)2523-2526
Number of pages4
JournalJoule
Volume4
Issue number12
DOIs
StatePublished - Dec 16 2020

All Science Journal Classification (ASJC) codes

  • General Energy

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