IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v103y2017icp238-248.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421517300216
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2017.01.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Pechan, Anna & Eisenack, Klaus, 2014. "The impact of heat waves on electricity spot markets," Energy Economics, Elsevier, vol. 43(C), pages 63-71.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cohen, Stuart M. & Dyreson, Ana & Turner, Sean & Tidwell, Vince & Voisin, Nathalie & Miara, Ariel, 2022. "A multi-model framework for assessing long- and short-term climate influences on the electric grid," Applied Energy, Elsevier, vol. 317(C).
    2. Wehrle, Sebastian & Gruber, Katharina & Schmidt, Johannes, 2021. "The cost of undisturbed landscapes," Energy Policy, Elsevier, vol. 159(C).
    3. Papież, Monika & Śmiech, Sławomir & Frodyma, Katarzyna, 2019. "Factors affecting the efficiency of wind power in the European Union countries," Energy Policy, Elsevier, vol. 132(C), pages 965-977.
    4. Jennifer Cronin & Gabrial Anandarajah & Olivier Dessens, 2018. "Climate change impacts on the energy system: a review of trends and gaps," Climatic Change, Springer, vol. 151(2), pages 79-93, November.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Santágata, Daniela M. & Castesana, Paula & Rössler, Cristina E. & Gómez, Darío R., 2017. "Extreme temperature events affecting the electricity distribution system of the metropolitan area of Buenos Aires (1971–2013)," Energy Policy, Elsevier, vol. 106(C), pages 404-414.
    2. Hekkenberg, M. & Moll, H.C. & Uiterkamp, A.J.M. Schoot, 2009. "Dynamic temperature dependence patterns in future energy demand models in the context of climate change," Energy, Elsevier, vol. 34(11), pages 1797-1806.
    3. Wang, Yaoping & Bielicki, Jeffrey M., 2018. "Acclimation and the response of hourly electricity loads to meteorological variables," Energy, Elsevier, vol. 142(C), pages 473-485.
    4. Blázquez, Leticia & Boogen, Nina & Filippini, Massimo, 2013. "Residential electricity demand in Spain: New empirical evidence using aggregate data," Energy Economics, Elsevier, vol. 36(C), pages 648-657.
    5. Blazquez Leticia & Nina Boogen & Massimo Filippini, 2012. "Residential electricity demand for Spain: new empirical evidence using aggregated data," CEPE Working paper series 12-82, CEPE Center for Energy Policy and Economics, ETH Zurich.
    6. Qiucheng Li & Jiang Hu & Bolin Yu, 2021. "Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China," Energies, MDPI, vol. 14(13), pages 1-17, June.
    7. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    8. Koh, Rachel & Kern, Jordan & Galelli, Stefano, 2022. "Hard-coupling water and power system models increases the complementarity of renewable energy sources," Applied Energy, Elsevier, vol. 321(C).
    9. Florian Knobloch & Hector Pollitt & Unnada Chewpreecha & Vassilis Daioglou & Jean-Francois Mercure, 2017. "Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5C," Papers 1710.11019, arXiv.org, revised May 2018.
    10. Paul Baginski & Christoph Weber, 2017. "A Consumer Decision-making Process? Unfolding Energy Efficiency Decisions of German Owner-occupiers," EWL Working Papers 1708, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Aug 2017.
    11. Agarwal, Sumit & Satyanarain, Rengarajan & Sing, Tien Foo & Vollmer, Derek, 2016. "Effects of construction activities on residential electricity consumption: Evidence from Singapore's public housing estates," Energy Economics, Elsevier, vol. 55(C), pages 101-111.
    12. Anna Kipping & Erik Trømborg, 2017. "Modeling Aggregate Hourly Energy Consumption in a Regional Building Stock," Energies, MDPI, vol. 11(1), pages 1-20, December.
    13. Yau, Y.H. & Pean, H.L., 2011. "The climate change impact on air conditioner system and reliability in Malaysia—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4939-4949.
    14. Yildiz, B. & Bilbao, J.I. & Sproul, A.B., 2017. "A review and analysis of regression and machine learning models on commercial building electricity load forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1104-1122.
    15. Miller, Reid & Golab, Lukasz & Rosenberg, Catherine, 2017. "Modelling weather effects for impact analysis of residential time-of-use electricity pricing," Energy Policy, Elsevier, vol. 105(C), pages 534-546.
    16. Rocha Souza, Leonardo & Jorge Soares, Lacir, 2007. "Electricity rationing and public response," Energy Economics, Elsevier, vol. 29(2), pages 296-311, March.
    17. Ata, Rasit, 2015. "Artificial neural networks applications in wind energy systems: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 534-562.
    18. Capozzoli, Alfonso & Piscitelli, Marco Savino & Brandi, Silvio & Grassi, Daniele & Chicco, Gianfranco, 2018. "Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings," Energy, Elsevier, vol. 157(C), pages 336-352.
    19. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    20. Ahmad, Tanveer & Chen, Huanxin, 2019. "Deep learning for multi-scale smart energy forecasting," Energy, Elsevier, vol. 175(C), pages 98-112.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:103:y:2017:i:c:p:238-248. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.