Opening the black box of energy modelling: strategies and lessons learned

  • The global energy system is undergoing a major transition, and in energy planning and decision-making across governments, industry and academia, models play a crucial role. Because of their policy relevance and contested nature, the transparency and open availability of energy models and data are of particular importance. Here we provide a practical how-to guide based on the collective experience of members of the Open Energy Modelling Initiative (Openmod). We discuss key steps to consider when opening code and data, including determining intellectual property ownership, choosing a licence and appropriate modelling languages, distributing code and data, and providing support and building communities. After illustrating these decisions with examples and lessons learned from the community, we conclude that even though individual researchers' choices are important, institutional changes are still also necessary for more openness and transparency in energy research.

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Author:Stefan Pfenninger, Lion Hirth, Ingmar Schlecht, Eva Schmid, Frauke Wiese, Tom Brown, Chris Davis, Matthew Gidden, Heidi Heinrichs, Clara Heuberger, Simon Hilpert, Uwe Krien, Carsten Matke, Arjuna Nebel, Robbie Morrison, Berit Müller, Guido Pleßmann, Matthias Reeg, Jörn C.. Richstein, Abhishek Shivakumar, Iain Staffell, Tim Tröndle, Clemens Wingenbach
URN:urn:nbn:de:hebis:30:3-543787
DOI:https://doi.org/10.1016/j.esr.2017.12.002
ISSN:2211-4688
ISSN:2211-467X
Parent Title (German):Energy strategy reviews
Publisher:Elsevier
Document Type:Article
Language:English
Date of Publication (online):2017/12/27
Date of first Publication:2017/12/27
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2020/04/20
Tag:Energy modelling; Open data; Open source
Volume:19
Page Number:9
First Page:63
Last Page:71
Note:
This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
HeBIS-PPN:463773942
Institutes:Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0