Opening the black box of energy modelling

Strategies and lessons learned

Journal Article (2018)
Authors

Stefan Pfenninger (ETH Zürich)

Lion Hirth (Neon Neue Energieökonomik GmbH, Mercator Research Institute on Global Commons and Climate Change, Hertie School of Governance GmbH)

Ingmar Schlecht (University of Basel)

Eva Schmid (Potsdam-Institut für Klimafolgenforschung, GERMANWATCH)

Frauke Wiese (Technical University of Denmark (DTU))

Tom Brown (Goethe University)

Chris Davis (University Medical Center Groningen)

Matthew Gidden (International Institute for Applied Systems Analysis)

Heidi Heinrichs (Institute of Energy and Climate Research)

Clara Heuberger (Imperial College London)

Simon Hilpert (University of Flensburg)

Uwe Krien (Reiner Lemoine Institut)

Carsten Matke (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Arjuna Nebel (Wuppertal Institute)

Robbie Morrison (Energy Consultant)

Berit Müller (Reiner Lemoine Institut)

Guido Pleßmann (Reiner Lemoine Institut)

Matthias Reeg (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Jörn C. Richstein (DIW Berlin)

Abhishek Shivakumar (KTH Royal Institute of Technology)

Iain Staffell (Imperial College London)

Tim Tröndle (University of Cambridge)

Clemens Wingenbach (University of Flensburg)

Affiliation
External organisation
To reference this document use:
https://doi.org/10.1016/j.esr.2017.12.002
More Info
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Publication Year
2018
Language
English
Affiliation
External organisation
Volume number
19
Pages (from-to)
63-71
DOI:
https://doi.org/10.1016/j.esr.2017.12.002

Abstract

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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