Article

Effect of global warming on willingness to pay for uninterrupted electricity supply in European nations

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Abstract

Predicted changes in temperature and other weather events may damage the electricity grid and cause power outages. Understanding the costs of power outages and how these costs change over time with global warming can inform outage-mitigation-investment decisions. Here we show that across 19 EU nations the value of uninterrupted electricity supply is strongly related to local temperatures, and will increase as the climate warms. Bayesian hierarchical modelling of data from a choice experiment and respondent-specific temperature measures reveals estimates of willingness to pay (WTP) to avoid an hour of power outage between €0.32 and €1.86 per household. WTP varies on the basis of season and is heterogeneous between European nations. Winter outages currently cause larger per household welfare losses than summer outages per hour of outage. However, this dynamic will begin to shift under plausible future climates, with summer outages becoming substantially more costly and winter outages becoming slightly less costly on a per-household, per-hour basis.

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References

  1. 1.

    Roepke, L. The development of renewable energies and supply security: A trade-off analysis. Energy Policy 61, 1011–1021 (2013).

  2. 2.

    IPCC Climate Change 2014: Impacts, Adaptation, and Vulnerability (eds Field, C. B. et al.) Ch. 10 (Cambridge Univ. Press, Cambridge, 2014).

  3. 3.

    Ten Year Network Development Plan 2014. Tech. Rep. (European Network of Transmission System Operators for Electricity, 2014).

  4. 4.

    Nooij, M., Koopmans, C. & Bijvoet, C. The value of supply security. The costs of power interruptions: Economic input for damage reduction and investment. Energy Econ. 29, 277–295 (2007).

  5. 5.

    Reichl, J., Schmidthaler, M. & Schneider, F. The value of supply security: The costs of power outages to Austrian households, firms and the public sector. Energy Econ. 36, 256–261 (2013).

  6. 6.

    Reichl, J., Schmidthaler, M. & Schneider, F. Power outage cost evaluation: reasoning, methods and an application. J. Sci. Res. Rep. 2, 249–276 (2013).

  7. 7.

    Leahy, E. & Tol, R. An estimate of the value of lost load for Ireland. Energy Policy 39, 1514–1520 (2011).

  8. 8.

    Praktiknjo, A., Haehnel, A. & Erdmann, G. Assessing energy supply security: Outage costs in private households. Energy Policy 39, 78257833 (2011).

  9. 9.

    Ozbafli, A. & Jenkins, G. P. Estimating the willingness to pay for reliable electricity supply: A choice experiment. Energy Econ. 56, 443–452 (2016).

  10. 10.

    Bessec, M. & Fouquau, J. The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach. Energy Econ. 30, 2705–2721 (2008).

  11. 11.

    Blazquez, L., Boogen, N. & Filippini, M. Residential electricity demand in Spain: new empirical evidence using aggregate data. Energy Econ. 36, 648–657 (2013).

  12. 12.

    Lee, C. C. & Chiu, Y. B. Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach. Energy Econ. 33, 896–902 (2011).

  13. 13.

    Lapillonne, B., Pollier, K., & L. Gynther. Energy Efficiency Trends and Policies in the Household and Tertiary Sectors. ODYSSEE-MURE project Tech. Rep. (2014).

  14. 14.

    Haylock, M. et al. A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006. J. Geophys. Res. 113 (2008).

  15. 15.

    Ten Year Network Development Plan 2016. Tech. Rep. (European Network of Transmission System Operators for Electricity, 2016).

  16. 16.

    Sonnier, G., Ainslie, A. & Otter, T. Heterogeneity distributions of willingness-to-pay in choice models. Quant. Mark. Econ. 5, 313–331 (2007).

  17. 17.

    Scarpa, R., Thiene, M. & Train, K. Utility in willingness to pay space: a tool to address confounding random scale effects in destination choice to the Alps. Am. J. Agric. Econ. 90, 994–1010 (2008).

  18. 18.

    IPCC. Special Report on Emission Scenarios (eds Nakicenovic, N. & Swart, R.) (Cambridge Univ. Press, Cambridge, 2000).

  19. 19.

    Gutierrez, F. G., Schmidthaler, M., Reichl, J., Voronca, S. & Roman, T. E. Public Effects Knowledge Base - Deliverable D2.2 of the Project SESAME (Securing the European Electricity Supply Against Malicious and Accidental Threats). Tech. Rep. (Transelectrica and Politecnico di Torino; 2013); https://www.sesame-project.eu/publications/deliverables.

  20. 20.

    Layton, D. F. & Moeltner, K. in Applications of Simulation Methods in Environmental and Resource Economics (eds Alberini, A. & Scarpa, R.), 35–54 (Springer, New York, 2004).

  21. 21.

    Carlsson, F. & Martinsson, P. Does it matter when a power outage occurs? – A choice experiment study on the willingness to pay to avoid power outages. Energy Econ. 30, 1232–1245 (2008).

  22. 22.

    Carlsson, F. & Martinsson, P. Willingness to pay among Swedish households to avoid power outages – A random parameter tobit model approach. Energy J. 28, 75–89 (2007).

  23. 23.

    Baarsma, B. E. & Hop, J. P. Pricing power outages in the Netherlands. Energy 34, 1378–1386 (2009).

  24. 24.

    Huber, J. & Zwerina, K. The importance of utility balance in efficient choice designs. J. Mark. Res. 39, 214–227 (1996).

  25. 25.

    Burgess, L. & Street, D. J. Optimal designs for choice experiments with asymmetric attributes. J. Stat. Plan. Inference. 134, 288–301 (2005).

  26. 26.

    5th Benchmarking Report on the Quality of Electricity Supply 2011. Tech. Rep. (Council of European Energy Regulators, 2012).

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Acknowledgements

We gratefully acknowledge funding for this project through the Austrian Climate and Energy Funds ACRP 7th Climate Research Programme award no. KR14AC7K11859.

Author information

Author notes

    • Michael Schmidthaler

    Present address: Energie AG Oberoesterreich Trading, Linz, Austria

Affiliations

  1. The Energy Institute at Johannes Kepler University, Linz, Austria

    • Jed Cohen
    • , Johannes Reichl
    •  & Michael Schmidthaler
  2. Department of Agricultural and Applied Economics, Virginia Tech, Blacksburg, VA, USA

    • Klaus Moeltner

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Contributions

J.R. and M.S. were primarily responsible for the creation and implementation of the survey instrument. J.C. was primarily responsible for the creation and management of the data set. All authors contributed to data analysis. All authors contributed to the writing of the paper with J.C. and J.R. as the primary authors.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Jed Cohen.

Electronic supplementary material

  1. Supplementary Information

    Supplementary Figures 1–2, Supplementary Tables 1–2, Supplementary Note 1, Supplementary Methods and Supplementary References.