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Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis

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  • Krakowski, Vincent
  • Assoumou, Edi
  • Mazauric, Vincent
  • Maïzi, Nadia

Abstract

This paper explores the conditions under which renewable energy sources (RES) penetration could jeopardize power system reliability, as well as which flexibility options could help integrate high levels of RES. For this purpose, we used an energy-planning model from the TIMES family, which provides a realistic representation of power systems and plausible options for their long-term development, completed by a thermodynamic description of power systems to assess their reliability. We applied this model to the case of France and built contrasted scenarios, from 0% to 100% renewable energy penetration by 2050. We also tested different assumptions on Variable Renewable Energy (VRE) production, imports, demand flexibility and biomass potential. We show that high renewable energy penetration would need significant investments in new capacities, new flexibility options along with imports and demand-response, and that it is likely to deteriorate power system reliability if no technologies dedicated to this issue are installed.

Suggested Citation

  • Krakowski, Vincent & Assoumou, Edi & Mazauric, Vincent & Maïzi, Nadia, 2016. "Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis," Applied Energy, Elsevier, vol. 171(C), pages 501-522.
    • Handle: RePEc:eee:appene:v:171:y:2016:i:c:p:501-522
    DOI: 10.1016/j.apenergy.2016.03.094
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    1. Rasmussen, Morten Grud & Andresen, Gorm Bruun & Greiner, Martin, 2012. "Storage and balancing synergies in a fully or highly renewable pan-European power system," Energy Policy, Elsevier, vol. 51(C), pages 642-651.
    2. Deane, J.P. & Chiodi, Alessandro & Gargiulo, Maurizio & Ó Gallachóir, Brian P., 2012. "Soft-linking of a power systems model to an energy systems model," Energy, Elsevier, vol. 42(1), pages 303-312.
    3. 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.
    4. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & Dang, Shuping & Zhang, Jian & Zhou, Yuhui, 2016. "A source–grid–load coordinated power planning model considering the integration of wind power generation," Applied Energy, Elsevier, vol. 168(C), pages 13-24.
    5. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    6. Pfenninger, Stefan & Keirstead, James, 2015. "Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security," Applied Energy, Elsevier, vol. 152(C), pages 83-93.
    7. Schmid, Eva & Knopf, Brigitte, 2015. "Quantifying the long-term economic benefits of European electricity system integration," Energy Policy, Elsevier, vol. 87(C), pages 260-269.
    8. Hagspiel, S. & Jägemann, C. & Lindenberger, D. & Brown, T. & Cherevatskiy, S. & Tröster, E., 2014. "Cost-optimal power system extension under flow-based market coupling," Energy, Elsevier, vol. 66(C), pages 654-666.
    9. Spiecker, Stephan & Weber, Christoph, 2014. "The future of the European electricity system and the impact of fluctuating renewable energy – A scenario analysis," Energy Policy, Elsevier, vol. 65(C), pages 185-197.
    10. Drouineau, Mathilde & Assoumou, Edi & Mazauric, Vincent & Maïzi, Nadia, 2015. "Increasing shares of intermittent sources in Reunion Island: Impacts on the future reliability of power supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 120-128.
    11. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "An integrated model for long-term power generation planning toward future smart electricity systems," Applied Energy, Elsevier, vol. 112(C), pages 1424-1437.
    12. Bertsch, Joachim & Growitsch, Christian & Lorenczik, Stefan & Nagl, Stephan, 2016. "Flexibility in Europe's power sector — An additional requirement or an automatic complement?," Energy Economics, Elsevier, vol. 53(C), pages 118-131.
    13. Welsch, Manuel & Deane, Paul & Howells, Mark & Ó Gallachóir, Brian & Rogan, Fionn & Bazilian, Morgan & Rogner, Hans-Holger, 2014. "Incorporating flexibility requirements into long-term energy system models – A case study on high levels of renewable electricity penetration in Ireland," Applied Energy, Elsevier, vol. 135(C), pages 600-615.
    14. Nelson, James & Johnston, Josiah & Mileva, Ana & Fripp, Matthias & Hoffman, Ian & Petros-Good, Autumn & Blanco, Christian & Kammen, Daniel M., 2012. "High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures," Energy Policy, Elsevier, vol. 43(C), pages 436-447.
    15. Drouineau, Mathilde & Maïzi, Nadia & Mazauric, Vincent, 2014. "Impacts of intermittent sources on the quality of power supply: The key role of reliability indicators," Applied Energy, Elsevier, vol. 116(C), pages 333-343.
    16. Geoffrey J. Blanford, James H. Merrick, and David Young, 2014. "A Clean Energy Standard Analysis with the US-REGEN Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    17. Ludig, Sylvie & Schmid, Eva & Haller, Markus & Bauer, Nico, 2015. "Assessment of transformation strategies for the German power sector under the uncertainty of demand development and technology availability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 143-156.
    18. Koltsaklis, Nikolaos E. & Georgiadis, Michael C., 2015. "A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints," Applied Energy, Elsevier, vol. 158(C), pages 310-331.
    19. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
    20. Komiyama, Ryoichi & Fujii, Yasumasa, 2015. "Long-term scenario analysis of nuclear energy and variable renewables in Japan's power generation mix considering flexible power resources," Energy Policy, Elsevier, vol. 83(C), pages 169-184.
    21. Maïzi, Nadia & Assoumou, Edi, 2014. "Future prospects for nuclear power in France," Applied Energy, Elsevier, vol. 136(C), pages 849-859.
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