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Analysis of the Effects of Electrification of the Road Transport Sector on the Possible Penetration of Nuclear Fusion in the Long-Term European Energy Mix

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  • Daniele Lerede

    (MAHTEP Group, Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Chiara Bustreo

    (Consorzio RFX, Corso Stati Uniti 4, 35127 Padova, Italy)

  • Francesco Gracceva

    (Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Lungotevere Thaon di Revel, 76, 00196 Rome, Italy)

  • Yolanda Lechón

    (Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas, Av. Complutense 40, 28040 Madrid, Spain)

  • Laura Savoldi

    (MAHTEP Group, Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy)

Abstract

The European Roadmap towards the production of electricity from nuclear fusion foresees the potential availability of nuclear fusion power plants (NFPPs) in the second half of this century. The possible penetration of that technology, typically addressed by using the global energy system EUROFusion TIMES Model (ETM), will depend, among other aspects, on its costs compared to those of the other available technologies for electricity production, and on the future electricity demand. This paper focuses on the ongoing electrification process of the transport sector, with special attention devoted to road transport. A survey on the present and forthcoming technologies, as foreseen by several manufacturers and other models, and an international vehicle database are taken into account to develop the new road transport module, then implemented and harmonized inside ETM. Following three different storylines, the computed results are presented in terms of the evolution of the road transport demand in the next decades, fleet composition and CO 2 emissions. The ETM results are in line with many other studies. On one hand, they highlight, for the European road transport energy consumption pattern, the need for dramatic changes in the transport market, if the most ambitious environmental goals are to be pursued. On the other hand, the results also show that NFPP adoption on a commercial scale could be justified within the current projection of the investment costs, if the deep penetration of electricity in the road transport sector also occurs.

Suggested Citation

  • Daniele Lerede & Chiara Bustreo & Francesco Gracceva & Yolanda Lechón & Laura Savoldi, 2020. "Analysis of the Effects of Electrification of the Road Transport Sector on the Possible Penetration of Nuclear Fusion in the Long-Term European Energy Mix," Energies, MDPI, vol. 13(14), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3634-:d:384532
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    References listed on IDEAS

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    1. Segantin, Stefano & Testoni, Raffaella & Zucchetti, Massimo, 2019. "The lifetime determination of ARC reactor as a load-following plant in the energy framework," Energy Policy, Elsevier, vol. 126(C), pages 66-75.
    2. Vaillancourt, Kathleen & Labriet, Maryse & Loulou, Richard & Waaub, Jean-Philippe, 2008. "The role of nuclear energy in long-term climate scenarios: An analysis with the World-TIMES model," Energy Policy, Elsevier, vol. 36(7), pages 2296-2307, July.
    3. Bosetti, Valentina & Longden, Thomas, 2013. "Light duty vehicle transportation and global climate policy: The importance of electric drive vehicles," Energy Policy, Elsevier, vol. 58(C), pages 209-219.
    4. Hao, Han & Geng, Yong & Sarkis, Joseph, 2016. "Carbon footprint of global passenger cars: Scenarios through 2050," Energy, Elsevier, vol. 101(C), pages 121-131.
    5. Seixas, J. & Simões, S. & Dias, L. & Kanudia, A. & Fortes, P. & Gargiulo, M., 2015. "Assessing the cost-effectiveness of electric vehicles in European countries using integrated modeling," Energy Policy, Elsevier, vol. 80(C), pages 165-176.
    6. P. Capros & Denise Van Regemorter & Leonidas Paroussos & P. Karkatsoulis & C. Fragkiadakis & S. Tsani & I. Charalampidis & Tamas Revesz, 2013. "GEM-E3 Model Documentation," JRC Research Reports JRC83177, Joint Research Centre.
    7. Tokimatsu, Koji & Fujino, Jun'ichi & Konishi, Satoshi & Ogawa, Yuichi & Yamaji, Kenji, 2003. "Role of nuclear fusion in future energy systems and the environment under future uncertainties," Energy Policy, Elsevier, vol. 31(8), pages 775-797, June.
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    1. Lerede, D. & Bustreo, C. & Gracceva, F. & Saccone, M. & Savoldi, L., 2021. "Techno-economic and environmental characterization of industrial technologies for transparent bottom-up energy modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    2. Adam Jan Zwierzyński & Wojciech Teper & Rafał Wiśniowski & Andrzej Gonet & Tomasz Buratowski & Tadeusz Uhl & Karol Seweryn, 2021. "Feasibility Study of Low Mass and Low Energy Consumption Drilling Devices for Future Space (Mining Surveying) Missions," Energies, MDPI, vol. 14(16), pages 1-17, August.
    3. Matteo Nicoli & Francesco Gracceva & Daniele Lerede & Laura Savoldi, 2022. "Can We Rely on Open-Source Energy System Optimization Models? The TEMOA-Italy Case Study," Energies, MDPI, vol. 15(18), pages 1-37, September.
    4. Lerede, Daniele & Pinto, Giuseppe & Saccone, Mirko & Bustreo, Chiara & Capozzoli, Alfonso & Savoldi, Laura, 2021. "Application of a Stochastic Multicriteria Acceptability Analysis to support decision-making within a macro-scale energy model: Case study of the electrification of the road European transport sector," Energy, Elsevier, vol. 236(C).

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