TY - JOUR
T1 - Opening the black box of energy modelling
T2 - Strategies and lessons learned
AU - Pfenninger, Stefan
AU - Hirth, Lion
AU - Schlecht, Ingmar
AU - Schmid, Eva
AU - Wiese, Frauke
AU - Brown, Tom
AU - Davis, Chris
AU - Gidden, Matthew
AU - Heinrichs, Heidi
AU - Heuberger, Clara
AU - Hilpert, Simon
AU - Krien, Uwe
AU - Matke, Carsten
AU - Nebel, Arjuna
AU - Morrison, Robbie
AU - Müller, Berit
AU - Pleßmann, Guido
AU - Reeg, Matthias
AU - Richstein, Jörn C.
AU - Shivakumar, Abhishek
AU - Staffell, Iain
AU - Tröndle, Tim
AU - Wingenbach, Clemens
PY - 2018
Y1 - 2018
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.
AB - 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 - Energy modelling
KW - Open data
KW - Open source
UR - http://www.scopus.com/inward/record.url?scp=85039150484&partnerID=8YFLogxK
U2 - 10.1016/j.esr.2017.12.002
DO - 10.1016/j.esr.2017.12.002
M3 - Article
AN - SCOPUS:85039150484
SN - 2211-467X
VL - 19
SP - 63
EP - 71
JO - Energy Strategy Reviews
JF - Energy Strategy Reviews
ER -