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A collective blueprint, not a crystal ball: How expectations and participation shape long-term energy scenarios

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  • Leonard Goke
  • Jens Weibezahn
  • Christian von Hirschhausen

Abstract

The development of energy systems is not a technocratic process but equally shaped by societal and cultural forces. Key instruments in this process are model-based scenarios describing a future energy system. Applying the concept of fictional expectations from social economics, we show how energy scenarios are tools to channel political, economic, and academic efforts into a common direction. To impact decision-making, scenarios do not have to be accurate -- but credible and evoke coherent expectations in diverse stakeholders. To gain credibility, authors of scenarios engage with stakeholders and appeal to the authority of institutions or quantitative methods. From these insights on energy scenarios, we draw consequences for developing and applying planning models, the quantitative tool energy scenarios build on. Planning models should be open and accessible to facilitate stakeholder participation, avoid needlessly complex methods to minimize expert bias and aim for a large scope to be policy relevant. Rather than trying to simulate social preferences and convictions within engineering models, scenario development should pursue broad and active participation of all stakeholders, including citizens.

Suggested Citation

  • Leonard Goke & Jens Weibezahn & Christian von Hirschhausen, 2021. "A collective blueprint, not a crystal ball: How expectations and participation shape long-term energy scenarios," Papers 2112.04821, arXiv.org, revised Dec 2022.
  • Handle: RePEc:arx:papers:2112.04821
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    1. Midttun, Atle & Baumgartner, Thomas, 1986. "Negotiating energy futures The politics of energy forecasting," Energy Policy, Elsevier, vol. 14(3), pages 219-241, June.
    2. Donald MacKenzie, 2006. "An Engine, Not a Camera: How Financial Models Shape Markets," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262134608, December.
    3. Leonard Göke & Claudia Kemfert & Mario Kendziorski & Christian von Hirschhausen, 2021. "100% Renewable Energy for Germany: Coordinated Expansion Planning Needed," DIW Weekly Report, DIW Berlin, German Institute for Economic Research, vol. 11(29/30), pages 209-215.
    4. David I. Stern, 2017. "How accurate are energy intensity projections?," Climatic Change, Springer, vol. 143(3), pages 537-545, August.
    5. Govorukha, Kristina & Mayer, Philip & Rübbelke, Dirk & Vögele, Stefan, 2020. "Economic disruptions in long-term energy scenarios – Implications for designing energy policy," Energy, Elsevier, vol. 212(C).
    6. Charlotte Senkpiel & Audrey Dobbins & Christina Kockel & Jan Steinbach & Ulrich Fahl & Farina Wille & Joachim Globisch & Sandra Wassermann & Bert Droste-Franke & Wolfgang Hauser & Claudia Hofer & Lars, 2020. "Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches," Energies, MDPI, vol. 13(18), pages 1-30, September.
    7. Oei, Pao-Yu & Burandt, Thorsten & Hainsch, Karlo & Löffler, Konstantin & Kemfert, Claudia, 2020. "Lessons from Modeling 100% Renewable Scenarios Using GENeSYS-MOD," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(1), pages 103-120.
    8. Dmitrii Bogdanov & Michael Child & Christian Breyer, 2019. "Reply to ‘Bias in energy system models with uniform cost of capital assumption’," Nature Communications, Nature, vol. 10(1), pages 1-2, December.
    9. Ergen, Timur, 2015. "Große Hoffnungen und brüchige Koalitionen: Industrie, Politik und die schwierige Durchsetzung der Photovoltaik," Schriften aus dem Max-Planck-Institut für Gesellschaftsforschung Köln, Max Planck Institute for the Study of Societies, volume 83, number 83.
    10. Erik Laes & Leen Gorissen & Frank Nevens, 2014. "A Comparison of Energy Transition Governance in Germany, The Netherlands and the United Kingdom," Sustainability, MDPI, vol. 6(3), pages 1-24, February.
    11. Lund, Henrik & Duić, Neven & Krajac˘ić, Goran & Graça Carvalho, Maria da, 2007. "Two energy system analysis models: A comparison of methodologies and results," Energy, Elsevier, vol. 32(6), pages 948-954.
    12. Krumm, Alexandra & Süsser, Diana & Blechinger, Philipp, 2022. "Modelling social aspects of the energy transition: What is the current representation of social factors in energy models?," Energy, Elsevier, vol. 239(PA).
    13. Jens Weibezahn & Mario Kendziorski, 2019. "Illustrating the Benefits of Openness: A Large-Scale Spatial Economic Dispatch Model Using the Julia Language," Energies, MDPI, vol. 12(6), pages 1-21, March.
    14. Florian Leuthold & Hannes Weigt & Christian Hirschhausen, 2012. "A Large-Scale Spatial Optimization Model of the European Electricity Market," Networks and Spatial Economics, Springer, vol. 12(1), pages 75-107, March.
    15. Pfenninger, Stefan & DeCarolis, Joseph & Hirth, Lion & Quoilin, Sylvain & Staffell, Iain, 2017. "The importance of open data and software: Is energy research lagging behind?," Energy Policy, Elsevier, vol. 101(C), pages 211-215.
    16. Isabell Braunger and Christian Hauenstein, 2020. "How Incumbent Cultural and Cognitive Path Dependencies Constrain the 'Scenario Cone': Reliance on Carbon Dioxide Removal due to Techno-bias," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1), pages 137-154.
    17. Frysztacki, Martha Maria & Hörsch, Jonas & Hagenmeyer, Veit & Brown, Tom, 2021. "The strong effect of network resolution on electricity system models with high shares of wind and solar," Applied Energy, Elsevier, vol. 291(C).
    18. Pao-Yu Oei, Thorsten Burandt, Karlo Hainsch, Konstantin Löffler and Claudia Kemfert, 2020. "Lessons from Modeling 100% Renewable Scenarios Using GENeSYS-MOD," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1), pages 103-120.
    19. Peter Lopion & Peter Markewitz & Detlef Stolten & Martin Robinius, 2019. "Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects," Energies, MDPI, vol. 12(20), pages 1-12, October.
    20. Christian von Hirschhausen & Clemens Gerbaulet & Claudia Kemfert & Casimir Lorenz & Pao-Yu Oei (ed.), 2018. "Energiewende "Made in Germany"," Springer Books, Springer, number 978-3-319-95126-3, December.
    21. Stirling, Andrew, 1997. "Limits to the value of external costs," Energy Policy, Elsevier, vol. 25(5), pages 517-540, April.
    22. W. H. G. Armytage, 1956. "J. A. Etzler, an American Utopist," American Journal of Economics and Sociology, Wiley Blackwell, vol. 16(1), pages 83-88, October.
    23. Florian Landis & Adriana Marcucci & Sebastian Rausch & Ramachandran Kannan & Lucas Bretschger, 2019. "Multi-model comparison of Swiss decarbonization scenarios," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-18, December.
    24. Olav H. Hohmeyer & Sönke Bohm, 2015. "Trends toward 100% renewable electricity supply in Germany and Europe: a paradigm shift in energy policies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 4(1), pages 74-97, January.
    25. Trutnevyte, Evelina, 2016. "Does cost optimization approximate the real-world energy transition?," Energy, Elsevier, vol. 106(C), pages 182-193.
    26. Stefan Kruger Nielsen & Kenneth Karlsson, 2007. "Energy scenarios: a review of methods, uses and suggestions for improvement," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 27(3), pages 302-322.
    27. Upham, Paul & Klapper, Rita & Carney, Sebastian, 2016. "Participatory energy scenario development as dramatic scripting: A structural narrative analysis," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 47-56.
    28. Hansen, Kenneth & Breyer, Christian & Lund, Henrik, 2019. "Status and perspectives on 100% renewable energy systems," Energy, Elsevier, vol. 175(C), pages 471-480.
    29. Sergey Paltsev, 2017. "Energy scenarios: the value and limits of scenario analysis," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(4), July.
    30. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    31. Pedersen, Tim T. & Victoria, Marta & Rasmussen, Morten G. & Andresen, Gorm B., 2021. "Modeling all alternative solutions for highly renewable energy systems," Energy, Elsevier, vol. 234(C).
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