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

Energy Strategy Reviews - Tập 19 - Trang 63-71 - 2018
Stefan Pfenninger1, Lion Hirth2,3,4, Ingmar Schlecht5, Eva Schmid6,7, Frauke Wiese8, Tom Brown9, Chris Davis10, Matthew Gidden11, Heidi Heinrichs12, Clara F. Heuberger13, Simon Hilpert14, Uwe Krien15, Carsten Matke16, Arjuna Nebel17, Robbie Morrison18, Berit Müller15, Guido Pleßmann15, Matthias Reeg19, Jörn C. Richstein20, Abhishek Shivakumar21, Iain Staffell13, Tim Tröndle22, Clemens Wingenbach14
1ETH, Zürich, Switzerland
2Hertie School of Governance, Berlin, Germany
3Mercator Research Institute on Global Commons and Climate Change (MCC Berlin), Germany
4Neon Neue Energieökonomik GmbH, Berlin, Germany
5University of Basel, Switzerland
6GERMANWATCH, Berlin, Germany
7PIK Potsdam, Germany
8Danish Technical University, Denmark
9FIAS, University of Frankfurt, Germany
10University of Groningen, The Netherlands
11IIASA, Laxenburg, Austria
12Institute of Energy and Climate Research, FZ Jülich, Germany
13Imperial College, London, UK
14University of Flensburg, Germany
15Reiner Lemoine Institute, Germany
16DLR Institute of Networked Energy Systems, Oldenburg, Germany
17Wuppertal Institute, Germany
18Energy Consultant, Berlin, Germany
19DLR, Germany
20DIW Berlin, Germany
21KTH Royal Institute of Technology, Stockholm, Sweden
22Cambridge University, UK

Tóm tắt

Từ khóa


Tài liệu tham khảo

IPCC, 2014, Climate change 2014: mitigation of climate change

Pfenninger, 2017, The importance of open data and software: is energy research lagging behind?, Energy Pol., 101, 211, 10.1016/j.enpol.2016.11.046

Pfenninger, 2017, Energy scientists must show their workings, Nature, 542, 393, 10.1038/542393a

Open Source Initiative

Ravn

Morrison

Howells, 2011, OSeMOSYS: the open source energy modeling system: an introduction to its ethos, structure and development, Energy Pol., 39, 5850, 10.1016/j.enpol.2011.06.033

J. DeCarolis, K. Hunter, S. Sreepathi, The TEMOA project: tools for energy model optimization and analysis, in: Stockholm, Sweden, 2010.

Cao, 2016, Raising awareness in model-based energy scenario studies—a transparency checklist, Energy, Sustainability and Society, 6, 28, 10.1186/s13705-016-0090-z

Nahmmacher, 2014

Pfenninger, 2017, Dealing with multiple decades of hourly wind and PV time series in energy models: a comparison of methods to reduce time resolution and the planning implications of inter-annual variability, Appl. Energy, 197, 1, 10.1016/j.apenergy.2017.03.051

Hörsch

Poncelet, 2015

Kotzur

Heuberger, 2017, Power capacity expansion planning considering endogenous technology cost learning, Appl. Energy, 204, 831, 10.1016/j.apenergy.2017.07.075

Katz, 2016, Software vs. data in the context of citation, PeerJ Preprints

Morin, 2012, A quick guide to software licensing for the scientist-programmer, PLoS Comput. Biol., 8, 10.1371/journal.pcbi.1002598

Mitchell

Gangadharan, 2012, Managing license compliance in free and open source software development, Inf. Syst. Front, 14, 143, 10.1007/s10796-009-9180-1

Curcin, 2008, Scientific workflow systems - can one size fit all?, 1

Davison, 2012, Automated capture of experiment context for easier reproducibility in computational research, Comput. Sci. Eng., 14, 48, 10.1109/MCSE.2012.41

Boettiger, 2015, An introduction to docker for reproducible research, SIGOPS Oper. Syst. Rev., 49, 71, 10.1145/2723872.2723882

Hinsen, 2015, ActivePapers: a platform for publishing and archiving computer-aided research, F1000Research, 10.12688/f1000research.5773.3

2017

Ince, 2012, The case for open computer programs, Nature, 482, 485, 10.1038/nature10836

Barnes, 2010, Publish your computer code: it is good enough, Nature News, 467, 10.1038/467753a

Strachan, 2016, Reinventing the energy modelling–policy interface, Nature Energy, 1, 16012, 10.1038/nenergy.2016.12

Heaton, 2015, Claims about the use of software engineering practices in science: a systematic literature review, Inf. Software Technol., 67, 207, 10.1016/j.infsof.2015.07.011

Bacchelli, 2013, Expectations, outcomes, and challenges of modern code review, 712

Petre

Bryan, 2015

Sandve, 2013, Ten simple rules for reproducible computational research, PLoS Comput. Biol., 9, 10.1371/journal.pcbi.1003285

Open Knowledge International

Open Source Initiative

Jaeger, 2016

Meeker, 2017

Lerner, 2005, The scope of open source licensing, JLEO, 21, 20, 10.1093/jleo/ewi002

Hagedorn, 2011, Creative Commons licenses and the non-commercial condition: implications for the re-use of biodiversity information, ZooKeys, 150, 127, 10.3897/zookeys.150.2189

GitHub

DeCarolis, 2012, The case for repeatable analysis with energy economy optimization models, Energy Econ., 34, 1845, 10.1016/j.eneco.2012.07.004

Bazilian, 2012

Meindl, 2012

Milano, 2009, State of the art and future of OSS for power systems, 1

DECC

Boßmann, 2015, The shape of future electricity demand: exploring load curves in 2050s Germany and Britain, Energy, 90, 1317, 10.1016/j.energy.2015.06.082

Blischak, 2016, A quick introduction to version control with Git and GitHub, PLoS Comput. Biol., 12, 10.1371/journal.pcbi.1004668

Open Power System Data

OvGU

Hart, 2016, Ten simple rules for digital data storage, PeerJ Preprints

Bacon, 2012

Vera

Hilpert, 2017

Thurner

Lincoln, 2011

Brown, 2017

Staffell, 2016, Using bias-corrected reanalysis to simulate current and future wind power output, Energy, 114, 1224, 10.1016/j.energy.2016.08.068

Pfenninger, 2016, Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data, Energy, 114, 1251, 10.1016/j.energy.2016.08.060

Wiese, 2014, An open source energy system simulation model as an instrument for public participation in the development of strategies for a sustainable future, WIREs Energy Environ, 3, 490, 10.1002/wene.109

Kaldemeyer, 2016, renpassG!S - a free and open Python tool for simulating energy supply systems, OSF

Matke, 2017, Structure analysis of the German transmission network using the open source model SciGRID, 177

Daly, 2014

HM. Treasury, The Aqua Book: guidance on producing quality analysis for government, HM Government, London, UK, n.d. https://www.gov.uk/government/publications/the-aqua-book-guidance-on-producing-quality-analysis-for-government (accessed July 10, 2017).

Sargent, 2016

Open for business, 2017, Sci. Drill., 4

Zimmerman, 2011, MATPOWER: steady-state operations, planning, and analysis tools for power systems research and education, IEEE Trans. Power Syst., 26, 12, 10.1109/TPWRS.2010.2051168

Pleßmann, 2014, Global energy storage demand for a 100% renewable electricity supply, Energy Procedia, 46, 22, 10.1016/j.egypro.2014.01.154

Pleßmann, 2017, How to meet EU GHG emission reduction targets? A model based decarbonization pathway for Europe's electricity supply system until 2050, Energy Strategy Reviews, 15, 19, 10.1016/j.esr.2016.11.003

Pfenninger, 2014, Potential for concentrating solar power to provide baseload and dispatchable power, Nat. Clim. Change, 4, 689, 10.1038/nclimate2276