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Increased Electrification of Heating and Weather Risk in the Nordic Power System

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  • Ian M. Trotter
  • Torjus F. Bolkesj{o}
  • Eirik O. J{aa}stad
  • Jon Gustav Kirkerud

Abstract

Weather is one of the main drivers of both the power demand and supply, especially in the Nordic region which is characterized by high heating needs and a high share of renewable energy. Furthermore, ambitious decarbonization plans may cause power to replace fossil fuels for heating in the Nordic region, at the same time as large wind power expansions are expected, resulting in even greater exposure to weather risk. In this study, we quantify the increase in weather risk resulting from replacing fossil fuels with power for heating in the Nordic region, at the same time as variable renewable generation expands. First, we calibrate statistical weather-driven power consumption models for each of the countries Norway, Sweden, Denmark, and Finland. Then, we modify the weather sensitivity of the models to simulate different levels of heating electrification, and use 300 simulated weather years to investigate how differing weather conditions impact power consumption at each electrification level. The results show that full replacement of fossil fuels by power for heating in 2040 leads to an increase in annual consumption of 155 TWh (30%) compared to a business-as-usual scenario during an average weather year, but a 178 TWh (34%) increase during a one-in-twenty weather year. However, the increase in the peak consumption is greater: around 50% for a normal weather year, and 70% for a one-in-twenty weather year. Furthermore, wind and solar generation contribute little during the consumption peaks. The increased weather sensitivity caused by heating electrification causes greater total load, but also causes a significant increase in inter-annual, seasonal, and intra-seasonal variations. We conclude that heating electrification must be accompanied by an increase in power system flexibility to ensure a stable and secure power supply.

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  • Ian M. Trotter & Torjus F. Bolkesj{o} & Eirik O. J{aa}stad & Jon Gustav Kirkerud, 2021. "Increased Electrification of Heating and Weather Risk in the Nordic Power System," Papers 2112.02893, arXiv.org.
  • Handle: RePEc:arx:papers:2112.02893
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    1. Kirkerud, Jon Gustav & Bolkesjø, Torjus Folsland & Trømborg, Erik, 2017. "Power-to-heat as a flexibility measure for integration of renewable energy," Energy, Elsevier, vol. 128(C), pages 776-784.
    2. Ruhnau, Oliver & Hirth, Lion & Praktiknjo, Aaron, 2020. "Heating with wind: Economics of heat pumps and variable renewables," Energy Economics, Elsevier, vol. 92(C).
    3. Angel Manuel Benitez Rodriguez & Ian Michael Trotter, 2019. "Climate change scenarios for Paraguayan power demand 2017–2050," Climatic Change, Springer, vol. 156(3), pages 425-445, October.
    4. Trotter, Ian M. & Bolkesjø, Torjus Folsland & Féres, José Gustavo & Hollanda, Lavinia, 2016. "Climate change and electricity demand in Brazil: A stochastic approach," Energy, Elsevier, vol. 102(C), pages 596-604.
    5. Bell, William Paul & Wild, Phillip & Foster, John & Hewson, Michael, 2015. "Wind speed and electricity demand correlation analysis in the Australian National Electricity Market: Determining wind turbine generators’ ability to meet electricity demand without energy storage," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 182-191.
    6. Heinen, Steve & Turner, William & Cradden, Lucy & McDermott, Frank & O'Malley, Mark, 2017. "Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis," Energy, Elsevier, vol. 127(C), pages 136-154.
    7. Coker, Phil & Barlow, Janet & Cockerill, Tim & Shipworth, David, 2013. "Measuring significant variability characteristics: An assessment of three UK renewables," Renewable Energy, Elsevier, vol. 53(C), pages 111-120.
    8. Isabelle Tobin & W Greuell & Sonia Jerez & F Ludwig & R Vautard & Michelle T H van Vliet & Francois-Marie Breon, 2018. "Vulnerabilities and resilience of European power generation to 1.5 °C, 2 °C and 3 °C warming," Post-Print hal-03323340, HAL.
    9. Castillejo-Cuberos, Armando & Escobar, Rodrigo, 2020. "Understanding solar resource variability: An in-depth analysis, using Chile as a case of study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    10. Sinden, Graham, 2007. "Characteristics of the UK wind resource: Long-term patterns and relationship to electricity demand," Energy Policy, Elsevier, vol. 35(1), pages 112-127, January.
    11. Mideksa, Torben K. & Kallbekken, Steffen, 2010. "The impact of climate change on the electricity market: A review," Energy Policy, Elsevier, vol. 38(7), pages 3579-3585, July.
    12. Halvorsen, Robert, 1975. "Residential Demand for Electric Energy," The Review of Economics and Statistics, MIT Press, vol. 57(1), pages 12-18, February.
    13. Heide, Dominik & von Bremen, Lueder & Greiner, Martin & Hoffmann, Clemens & Speckmann, Markus & Bofinger, Stefan, 2010. "Seasonal optimal mix of wind and solar power in a future, highly renewable Europe," Renewable Energy, Elsevier, vol. 35(11), pages 2483-2489.
    14. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    15. Christian M. Grams & Remo Beerli & Stefan Pfenninger & Iain Staffell & Heini Wernli, 2017. "Balancing Europe’s wind-power output through spatial deployment informed by weather regimes," Nature Climate Change, Nature, vol. 7(8), pages 557-562, August.
    16. Baringo, L. & Conejo, A.J., 2013. "Correlated wind-power production and electric load scenarios for investment decisions," Applied Energy, Elsevier, vol. 101(C), pages 475-482.
    17. Wang, Huai-zhi & Li, Gang-qiang & Wang, Gui-bin & Peng, Jian-chun & Jiang, Hui & Liu, Yi-tao, 2017. "Deep learning based ensemble approach for probabilistic wind power forecasting," Applied Energy, Elsevier, vol. 188(C), pages 56-70.
    18. Thomaßen, Georg & Kavvadias, Konstantinos & Jiménez Navarro, Juan Pablo, 2021. "The decarbonisation of the EU heating sector through electrification: A parametric analysis," Energy Policy, Elsevier, vol. 148(PA).
    19. Haghi, Ehsan & Qadrdan, Meysam & Wu, Jianzhong & Jenkins, Nick & Fowler, Michael & Raahemifar, Kaamran, 2020. "An iterative approach for optimal decarbonization of electricity and heat supply systems in the Great Britain," Energy, Elsevier, vol. 201(C).
    20. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
    21. Canales, Fausto A. & Jurasz, Jakub & Beluco, Alexandre & Kies, Alexander, 2020. "Assessing temporal complementarity between three variable energy sources through correlation and compromise programming," Energy, Elsevier, vol. 192(C).
    22. Foley, Aoife M. & Leahy, Paul G. & Marvuglia, Antonino & McKeogh, Eamon J., 2012. "Current methods and advances in forecasting of wind power generation," Renewable Energy, Elsevier, vol. 37(1), pages 1-8.
    23. Wilson, I.A. Grant & Rennie, Anthony J.R. & Ding, Yulong & Eames, Philip C. & Hall, Peter J. & Kelly, Nicolas J., 2013. "Historical daily gas and electrical energy flows through Great Britain's transmission networks and the decarbonisation of domestic heat," Energy Policy, Elsevier, vol. 61(C), pages 301-305.
    24. Watson, S.D. & Lomas, K.J. & Buswell, R.A., 2019. "Decarbonising domestic heating: What is the peak GB demand?," Energy Policy, Elsevier, vol. 126(C), pages 533-544.
    25. Silva, Susana & Soares, Isabel & Pinho, Carlos, 2020. "Climate change impacts on electricity demand: The case of a Southern European country," Utilities Policy, Elsevier, vol. 67(C).
    26. Fan, Jing-Li & Hu, Jia-Wei & Zhang, Xian, 2019. "Impacts of climate change on electricity demand in China: An empirical estimation based on panel data," Energy, Elsevier, vol. 170(C), pages 880-888.
    27. Isabelle Tobin & Robert Vautard & Irena Balog & François-Marie Bréon & Sonia Jerez & Paolo Ruti & Françoise Thais & Mathieu Vrac & Pascal Yiou, 2015. "Assessing climate change impacts on European wind energy from ENSEMBLES high-resolution climate projections," Climatic Change, Springer, vol. 128(1), pages 99-112, January.
    28. Kais Siala & Afm Kamal Chowdhury & Thanh Duc Dang & Stefano Galelli, 2021. "Solar energy and regional coordination as a feasible alternative to large hydropower in Southeast Asia," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    29. Widén, Joakim & Carpman, Nicole & Castellucci, Valeria & Lingfors, David & Olauson, Jon & Remouit, Flore & Bergkvist, Mikael & Grabbe, Mårten & Waters, Rafael, 2015. "Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 356-375.
    30. Suomalainen, Kiti & Pritchard, Geoffrey & Sharp, Basil & Yuan, Ziqi & Zakeri, Golbon, 2015. "Correlation analysis on wind and hydro resources with electricity demand and prices in New Zealand," Applied Energy, Elsevier, vol. 137(C), pages 445-462.
    31. Bett, Philip E. & Thornton, Hazel E., 2016. "The climatological relationships between wind and solar energy supply in Britain," Renewable Energy, Elsevier, vol. 87(P1), pages 96-110.
    32. Coughlin, Katie & Murthi, Aditya & Eto, Joseph, 2014. "Multi-scale analysis of wind power and load time series data," Renewable Energy, Elsevier, vol. 68(C), pages 494-504.
    33. Chen, Yi-kuang & Jensen, Ida Græsted & Kirkerud, Jon Gustav & Bolkesjø, Torjus Folsland, 2021. "Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system," Energy, Elsevier, vol. 219(C).
    34. Leahy, P.G. & Foley, A.M., 2012. "Wind generation output during cold weather-driven electricity demand peaks in Ireland," Energy, Elsevier, vol. 39(1), pages 48-53.
    35. Solomon, A.A. & Kammen, Daniel M. & Callaway, D., 2016. "Investigating the impact of wind–solar complementarities on energy storage requirement and the corresponding supply reliability criteria," Applied Energy, Elsevier, vol. 168(C), pages 130-145.
    36. Quiggin, Daniel & Buswell, Richard, 2016. "The implications of heat electrification on national electrical supply-demand balance under published 2050 energy scenarios," Energy, Elsevier, vol. 98(C), pages 253-270.
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