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Climate change impact and resilience in the electricity sector: The example of Austria and Germany

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  • Totschnig, G.
  • Hirner, R.
  • Müller, A.
  • Kranzl, L.
  • Hummel, M.
  • Nachtnebel, H.-P.
  • Stanzel, P.
  • Schicker, I.
  • Formayer, H.

Abstract

The purpose of this paper is to investigate the resilience of possible future electricity and heating systems in regard to climate change and fuel price shocks. The dynamical simulation model HiREPS of the Austrian and German electricity, heating and cooling sectors was used for this analysis. The electricity generation cost and changes in the required secured capacity were used as indicators for the resilience of the energy system. The results show, that the analysed changes in the natural gas price have larger impact on the electricity generation cost than weather variability between different years or climate change. Especially the fossil fuel based scenario showed high sensitivity to the gas price. Analysis of the required secured capacity shows, that in the last quarter of the 21st century the annual maximum residual loads are growing and are dominated by strong cooling demand peaks. Promoting passive cooling options, efficient building designs and options for a controlled down regulation of cooling devices seems to be advisable to avoid installing large thermal power plant backup capacities. The evaluated climate model simulations show only small changes in photovoltaic, wind and hydro power generation for 2051−2080 in Austria and Germany.

Suggested Citation

  • Totschnig, G. & Hirner, R. & Müller, A. & Kranzl, L. & Hummel, M. & Nachtnebel, H.-P. & Stanzel, P. & Schicker, I. & Formayer, H., 2017. "Climate change impact and resilience in the electricity sector: The example of Austria and Germany," Energy Policy, Elsevier, vol. 103(C), pages 238-248.
  • Handle: RePEc:eee:enepol:v:103:y:2017:i:c:p:238-248
    DOI: 10.1016/j.enpol.2017.01.019
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    References listed on IDEAS

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    1. Pechan, Anna & Eisenack, Klaus, 2014. "The impact of heat waves on electricity spot markets," Energy Economics, Elsevier, vol. 43(C), pages 63-71.
    2. Kranzl, Lukas & Hummel, Marcus & Müller, Andreas & Steinbach, Jan, 2013. "Renewable heating: Perspectives and the impact of policy instruments," Energy Policy, Elsevier, vol. 59(C), pages 44-58.
    3. Beccali, M. & Cellura, M. & Lo Brano, V. & Marvuglia, A., 2008. "Short-term prediction of household electricity consumption: Assessing weather sensitivity in a Mediterranean area," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2040-2065, October.
    4. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
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    Cited by:

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    5. Koltsaklis, Nikolaos E. & Nazos, Konstantinos, 2017. "A stochastic MILP energy planning model incorporating power market dynamics," Applied Energy, Elsevier, vol. 205(C), pages 1364-1383.
    6. Tomasz Ingram & Monika Wieczorek-Kosmala & Karel Hlaváček, 2023. "Organizational Resilience as a Response to the Energy Crisis: Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-35, January.
    7. Handayani, Kamia & Filatova, Tatiana & Krozer, Yoram & Anugrah, Pinto, 2020. "Seeking for a climate change mitigation and adaptation nexus: Analysis of a long-term power system expansion," Applied Energy, Elsevier, vol. 262(C).
    8. Anaïs Machard & Christian Inard & Jean-Marie Alessandrini & Charles Pelé & Jacques Ribéron, 2020. "A Methodology for Assembling Future Weather Files Including Heatwaves for Building Thermal Simulations from the European Coordinated Regional Downscaling Experiment (EURO-CORDEX) Climate Data," Energies, MDPI, vol. 13(13), pages 1-36, July.
    9. Klimenko, V.V. & Fedotova, E.V. & Tereshin, A.G., 2018. "Vulnerability of the Russian power industry to the climate change," Energy, Elsevier, vol. 142(C), pages 1010-1022.
    10. Jonas Savelsberg & Moritz Schillinger & Ingmar Schlecht & Hannes Weigt, 2018. "The Impact of Climate Change on Swiss Hydropower," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    11. Guerra, Omar J. & Tejada, Diego A. & Reklaitis, Gintaras V., 2019. "Climate change impacts and adaptation strategies for a hydro-dominated power system via stochastic optimization," Applied Energy, Elsevier, vol. 233, pages 584-598.

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