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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 Jenn
  • Daniel 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
  • North Carolina State University
  • Carnegie Mellon University
  • Electric Power Research Institute
  • University of Geneva
  • Chalmers University of Technology
  • Environmental Defense Fund
  • University of Calgary
  • University of Southern California
  • University of Michigan, Ann Arbor
  • North Carolina Central University
  • Massachusetts Institute of Technology
  • Oregon State University
  • University of Colorado Boulder
  • Drexel University
  • Princeton University
  • University of California at Davis
  • Columbia University
  • VTT Technical Research Centre of Finland Ltd.
  • Oak Ridge National Laboratory
  • University of Toronto
  • University of California at Santa Barbara
  • University of Pittsburgh
  • Duke University
  • Carbon Impact Consulting
  • American University
  • Pacific Northwest National Laboratory
  • New York University
  • Iowa State University

Research output: Contribution to journalArticlepeer-review

25 Scopus Citations

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 languageAmerican English
Pages (from-to)2523-2526
Number of pages4
JournalJoule
Volume4
Issue number12
DOIs
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Inc.

NLR Publication Number

  • NREL/JA-6A20-78820

Keywords

  • 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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