TY  - JOUR
A1  - Pfenninger, Stefan
A1  - Hirth, Lion
A1  - Schlecht, Ingmar
A1  - Schmid, Eva
A1  - Wiese, Frauke
A1  - Brown, Tom
A1  - Davis, Chris
A1  - Gidden, Matthew
A1  - Heinrichs, Heidi
A1  - Heuberger, Clara
A1  - Hilpert, Simon
A1  - Krien, Uwe
A1  - Matke, Carsten
A1  - Nebel, Arjuna
A1  - Morrison, Robbie
A1  - Müller, Berit
A1  - Pleßmann, Guido
A1  - Reeg, Matthias
A1  - Richstein, Jörn C..
A1  - Shivakumar, Abhishek
A1  - Staffell, Iain
A1  - Tröndle, Tim
A1  - Wingenbach, Clemens
T1  - Opening the black box of energy modelling: strategies and lessons
learned
T2  - Energy strategy reviews
N2  - 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.
KW  - Open source
KW  - Open data
KW  - Energy modelling
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/54378
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-543787
SN  - 2211-4688
SN  - 2211-467X
N1  - This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
VL  - 19
SP  - 63
EP  - 71
PB  - Elsevier
ER  -