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Communicating energy system modelling to the wider public: An analysis of German media coverage

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  • Scheer, Dirk

Abstract

This article researches communication of energy scenario modelling to the wider public by means of a media coverage analysis. Media coverage is interpreted as an indicator to what extent energy scenarios are a matter of public debate and deliberation. A total of 155 articles covering the time period 1992–2013 were considered for both structural and content media analysis. Communication on energy scenarios strikingly peaked in 2007 and 2010-12 covering 87% of the whole sample. As became clear from the empirical findings energy scenarios were present in media when pulled on stage by policy-makers themselves. As such, taking the 2007 and 2010 German energy policy events the framework setting were favorable to put energy scenario center stage in the media notwithstanding the tool itself seems not to be qualified for easy media communication. In case distinguished policy-makers and adequate media requirement settings reference energy scenarios they find their way into the media. Patterns of media representation embed the tool in public and/or politics controversy and play around the tensions between “generic factual knowledge claim” and “selective (in)consistency claim”. To conclude, energy scenario seem to be vulnerable for strategic and tactical use in press reporting. However, in case high media coverage is given, chances arise for niches of transparent and objective science communication on modelling.

Suggested Citation

  • Scheer, Dirk, 2017. "Communicating energy system modelling to the wider public: An analysis of German media coverage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1389-1398.
  • Handle: RePEc:eee:rensus:v:80:y:2017:i:c:p:1389-1398
    DOI: 10.1016/j.rser.2017.05.188
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    1. Helm, Dieter, 2002. "Energy policy: security of supply, sustainability and competition," Energy Policy, Elsevier, vol. 30(3), pages 173-184, February.
    2. Liu, Ting & Albert Ma, Ching-to & Mak, Henry Y., 2018. "Incentives for motivated experts in a partnership," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 296-313.
    3. 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.
    4. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
    5. Marcela Brugnach & Andrew Tagg & Florian Keil & Wim Lange, 2007. "Uncertainty Matters: Computer Models at the Science–Policy Interface," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(7), pages 1075-1090, July.
    6. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    7. Johanna Olsson & Lotta Andersson, 2007. "Possibilities and problems with the use of models as a communication tool in water resource management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(1), pages 97-110, January.
    8. Huntington, Hillard G & Weyant, John P & Sweeney, James L, 1982. "Modeling for insights, not numbers: the experiences of the energy modeling forum," Omega, Elsevier, vol. 10(5), pages 449-462.
    9. McDowall, William & Eames, Malcolm, 2006. "Forecasts, scenarios, visions, backcasts and roadmaps to the hydrogen economy: A review of the hydrogen futures literature," Energy Policy, Elsevier, vol. 34(11), pages 1236-1250, July.
    10. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Bridging the scales: A conceptual model for coordinated expansion of renewable power generation, transmission and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2687-2695.
    11. Laitner, J. A. & DeCanio, S. J. & Koomey, J. G. & Sanstad, A. H., 2003. "Room for improvement: increasing the value of energy modeling for policy analysis," Utilities Policy, Elsevier, vol. 11(2), pages 87-94, June.
    12. DeCarolis, Joseph F., 2011. "Using modeling to generate alternatives (MGA) to expand our thinking on energy futures," Energy Economics, Elsevier, vol. 33(2), pages 145-152, March.
    13. Pina, André & Silva, Carlos & Ferrão, Paulo, 2011. "Modeling hourly electricity dynamics for policy making in long-term scenarios," Energy Policy, Elsevier, vol. 39(9), pages 4692-4702, September.
    14. Strachan, Neil & Pye, Steve & Kannan, Ramachandran, 2009. "The iterative contribution and relevance of modelling to UK energy policy," Energy Policy, Elsevier, vol. 37(3), pages 850-860, March.
    15. repec:elg:eechap:15206_10 is not listed on IDEAS
    16. 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.
    17. 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.
    18. Stefan Pfenninger, 2017. "Energy scientists must show their workings," Nature, Nature, vol. 542(7642), pages 393-393, February.
    19. Pilavachi, P.A. & Dalamaga, Th. & Rossetti di Valdalbero, D. & Guilmot, J.-F., 2008. "Ex-post evaluation of European energy models," Energy Policy, Elsevier, vol. 36(5), pages 1726-1735, May.
    20. Winebrake, James J. & Sakva, Denys, 2006. "An evaluation of errors in US energy forecasts: 1982-2003," Energy Policy, Elsevier, vol. 34(18), pages 3475-3483, December.
    21. Haydt, Gustavo & Leal, Vítor & Pina, André & Silva, Carlos A., 2011. "The relevance of the energy resource dynamics in the mid/long-term energy planning models," Renewable Energy, Elsevier, vol. 36(11), pages 3068-3074.
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