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The gap between energy policy challenges and model capabilities

Author

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  • Savvidis, Georgios
  • Siala, Kais
  • Weissbart, Christoph
  • Schmidt, Lukas
  • Borggrefe, Frieder
  • Kumar, Subhash
  • Pittel, Karen
  • Madlener, Reinhard
  • Hufendiek, Kai

Abstract

Ambitious decarbonization targets, technology-specific policies, and computational developments led to increases in the complexity and diversity of energy system models. The lack of transparency and standardization, however, renders the assessment of model suitability for specific policy questions difficult. Therefore, this paper systematically assesses the ability of energy system models to answer major energy policy questions. It examines the existing literature on model comparison schemes, then proposes a set of criteria to compare a sample of 40 models. Besides, a novel, model-oriented approach is developed in order to cluster energy policy questions. Finally, the model capabilities and the policy questions are brought together by quantifying the gap between models and policy questions. The results show that some models are very well able to answer a wide range of energy policy questions, whereas others are only suitable for a specific area of energy policy. The representation of the distribution grid, the endogenous adjustment of demand, and the technical flexibility of the energy system are among the features, where models generally lag behind. Our results provide policy-makers with guidance on crucial model features with respect to a selection of energy policy questions and suggest potential funding priorities for future energy system modeling.

Suggested Citation

  • Savvidis, Georgios & Siala, Kais & Weissbart, Christoph & Schmidt, Lukas & Borggrefe, Frieder & Kumar, Subhash & Pittel, Karen & Madlener, Reinhard & Hufendiek, Kai, 2019. "The gap between energy policy challenges and model capabilities," Energy Policy, Elsevier, vol. 125(C), pages 503-520.
  • Handle: RePEc:eee:enepol:v:125:y:2019:i:c:p:503-520
    DOI: 10.1016/j.enpol.2018.10.033
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    as
    1. Palzer, Andreas & Henning, Hans-Martin, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies – Part II: Results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1019-1034.
    2. Després, Jacques & Hadjsaid, Nouredine & Criqui, Patrick & Noirot, Isabelle, 2015. "Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of energy modelling tools," Energy, Elsevier, vol. 80(C), pages 486-495.
    3. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    4. Huppmann, Daniel & Egging, Ruud, 2014. "Market power, fuel substitution and infrastructure – A large-scale equilibrium model of global energy markets," Energy, Elsevier, vol. 75(C), pages 483-500.
    5. Pfenninger, Stefan & Hirth, Lion & Schlecht, Ingmar & Schmid, Eva & Wiese, Frauke & Brown, Tom & Davis, Chris & Gidden, Matthew & Heinrichs, Heidi & Heuberger, Clara & Hilpert, Simon & Krien, Uwe & Ma, 2018. "Opening the black box of energy modelling: Strategies and lessons learned," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19, pages 63-71.
    6. Jan Abrell & Friedrich Kunz, 2015. "Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market," Networks and Spatial Economics, Springer, vol. 15(1), pages 117-147, March.
    7. Gils, Hans Christian & Scholz, Yvonne & Pregger, Thomas & Luca de Tena, Diego & Heide, Dominik, 2017. "Integrated modelling of variable renewable energy-based power supply in Europe," Energy, Elsevier, vol. 123(C), pages 173-188.
    8. Urban, F. & Benders, R.M.J. & Moll, H.C., 2007. "Corrigendum to "Modelling energy systems for developing countries": [Energy Policy 35 (2007) 3473-3482]," Energy Policy, Elsevier, vol. 35(9), pages 4764-4765, September.
    9. Criqui, P. & Mima, S. & Menanteau, P. & Kitous, A., 2015. "Mitigation strategies and energy technology learning: An assessment with the POLES model," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 119-136.
    10. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    11. Finn Roar Aune & Rolf Golombek & Hilde Hallre, 2015. "Phasing out Nuclear Power in Europe," CESifo Working Paper Series 5403, CESifo.
    12. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
    13. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    14. van Beeck, N.M.J.P., 1999. "Classification of Energy Models," Other publications TiSEM 6f2cbb5e-2d53-4be6-a4f9-9, Tilburg University, School of Economics and Management.
    15. Schaber, Katrin & Steinke, Florian & Hamacher, Thomas, 2012. "Transmission grid extensions for the integration of variable renewable energies in Europe: Who benefits where?," Energy Policy, Elsevier, vol. 43(C), pages 123-135.
    16. Henning, Hans-Martin & Palzer, Andreas, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies—Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1003-1018.
    17. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    18. van Beeck, N.M.J.P., 1999. "Classification of Energy Models," Research Memorandum 777, Tilburg University, School of Economics and Management.
    19. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    20. Ketter, W., 2014. "Envisioning and Enabling Sustainable Smart Markets," ERIM Inaugural Address Series Research in Management EIA-2014-057-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    21. Schlecht, Ingmar & Weigt, Hannes, 2014. "Swissmod - a model of the Swiss electricity market," Working papers 2014/04, Faculty of Business and Economics - University of Basel.
    22. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    23. Mahmud, Khizir & Town, Graham E., 2016. "A review of computer tools for modeling electric vehicle energy requirements and their impact on power distribution networks," Applied Energy, Elsevier, vol. 172(C), pages 337-359.
    24. Möst, Dominik & Keles, Dogan, 2010. "A survey of stochastic modelling approaches for liberalised electricity markets," European Journal of Operational Research, Elsevier, vol. 207(2), pages 543-556, December.
    25. Lo Schiavo, Luca & Delfanti, Maurizio & Fumagalli, Elena & Olivieri, Valeria, 2013. "Changing the regulation for regulating the change: Innovation-driven regulatory developments for smart grids, smart metering and e-mobility in Italy," Energy Policy, Elsevier, vol. 57(C), pages 506-517.
    26. Lohwasser, Richard & Madlener, Reinhard, 2009. "Simulation of the European Electricity Market and CCS Development with the HECTOR Model," FCN Working Papers 6/2009, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    27. Asane-Otoo, Emmanuel, 2016. "Competition policies and environmental quality: Empirical analysis of the electricity sector in OECD countries," Energy Policy, Elsevier, vol. 95(C), pages 212-223.
    28. Gerboni, Raffaella & Grosso, Daniele & Carpignano, Andrea & Dalla Chiara, Bruno, 2017. "Linking energy and transport models to support policy making," Energy Policy, Elsevier, vol. 111(C), pages 336-345.
    29. Shukla, P. R., 1995. "Greenhouse gas models and abatement costs for developing nations : A critical assessment," Energy Policy, Elsevier, vol. 23(8), pages 677-687, August.
    30. Batlle, C. & Pérez-Arriaga, I.J. & Zambrano-Barragán, P., 2012. "Regulatory design for RES-E support mechanisms: Learning curves, market structure, and burden-sharing," Energy Policy, Elsevier, vol. 41(C), pages 212-220.
    31. DeCarolis, Joseph F. & Hunter, Kevin & Sreepathi, Sarat, 2012. "The case for repeatable analysis with energy economy optimization models," Energy Economics, Elsevier, vol. 34(6), pages 1845-1853.
    32. Fischer, W. & Hake, J.-Fr. & Kuckshinrichs, W. & Schröder, T. & Venghaus, S., 2016. "German energy policy and the way to sustainability: Five controversial issues in the debate on the “Energiewende”," Energy, Elsevier, vol. 115(P3), pages 1580-1591.
    33. Elliston, Ben & MacGill, Iain & Diesendorf, Mark, 2013. "Least cost 100% renewable electricity scenarios in the Australian National Electricity Market," Energy Policy, Elsevier, vol. 59(C), pages 270-282.
    34. Foley, A.M. & Ó Gallachóir, B.P. & Hur, J. & Baldick, R. & McKeogh, E.J., 2010. "A strategic review of electricity systems models," Energy, Elsevier, vol. 35(12), pages 4522-4530.
    35. Ingmar Schlecht & Hannes Weigt, 2015. "Linking Europe: The Role of the Swiss Electricity Transmission Grid until 2050," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 151(II), pages 39-79, June.
    36. Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
    37. Jonas Egerer & Clemens Gerbaulet & Richard Ihlenburg & Friedrich Kunz & Benjamin Reinhard & Christian von Hirschhausen & Alexander Weber & Jens Weibezahn, 2014. "Electricity Sector Data for Policy-Relevant Modeling: Data Documentation and Applications to the German and European Electricity Markets," Data Documentation 72, DIW Berlin, German Institute for Economic Research.
    38. Richter, Jan, 2011. "DIMENSION - A Dispatch and Investment Model for European Electricity Markets," EWI Working Papers 2011-3, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    39. Alban Kitous, Patrick Criqui, Elie Bellevrat and Bertrand Chateau, 2010. "Transformation Patterns of the Worldwide Energy System - Scenarios for the Century with the POLES Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    40. Urban, F. & Benders, R.M.J. & Moll, H.C., 2007. "Modelling energy systems for developing countries," Energy Policy, Elsevier, vol. 35(6), pages 3473-3482, June.
    41. Richstein, Jörn C. & Chappin, Emile J.L. & de Vries, Laurens J., 2014. "Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach," Energy Policy, Elsevier, vol. 71(C), pages 139-158.
    42. Möst, Dominik & Fichtner, Wolf, 2010. "Renewable energy sources in European energy supply and interactions with emission trading," Energy Policy, Elsevier, vol. 38(6), pages 2898-2910, June.
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