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Improving Transport Modeling in MESSAGE Energy Planning Model: Vehicle Age Distributions

Author

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  • Eimantas Neniškis

    (Lithuanian Energy Institute, Breslaujos str. 3, LT-44403 Kaunas, Lithuania)

  • Arvydas Galinis

    (Lithuanian Energy Institute, Breslaujos str. 3, LT-44403 Kaunas, Lithuania)

  • Egidijus Norvaiša

    (Lithuanian Energy Institute, Breslaujos str. 3, LT-44403 Kaunas, Lithuania)

Abstract

In the European Green Deal, EU Commission has set a goal to reduce greenhouse gas emissions in the transport sector by 90% by 2050 compared to the 1990 level. Most likely, transport decarbonization will rely on a rapid expansion of electric and hydrogen vehicle fleet, which would seriously affect not just overall electricity demand, but also the shape of the electricity consumption curve. Consequently, our research focuses on integrated energy and transport modelling when analyzing its development pathways up to 2050 and beyond. This paper describes how already established transport modeling practices can be further improved by differentiating vehicles by age groups and setting vehicle age distributions to improve the representation of vehicle stock, fuel efficiencies and emissions, especially for countries that have non-declining vehicle age distributions. Modeling results using proposed and traditional approaches were compared for the Lithuanian case. It shows that the transport fuel shift using the proposed approach is more gradual than the traditional one. Diesel cars are phased out by 2050 versus 2040. Furthermore, the proposed approach provided more realistic CO 2 emissions, 7% lower emissions for 2018 than estimated based on statistical data, while traditional approach was 27% lower.

Suggested Citation

  • Eimantas Neniškis & Arvydas Galinis & Egidijus Norvaiša, 2021. "Improving Transport Modeling in MESSAGE Energy Planning Model: Vehicle Age Distributions," Energies, MDPI, vol. 14(21), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7279-:d:671477
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    as
    1. Dmitrii Bogdanov & Javier Farfan & Kristina Sadovskaia & Arman Aghahosseini & Michael Child & Ashish Gulagi & Ayobami Solomon Oyewo & Larissa Souza Noel Simas Barbosa & Christian Breyer, 2019. "Radical transformation pathway towards sustainable electricity via evolutionary steps," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    2. KERAMIDAS Kimon & DIAZ VAZQUEZ Ana R. & WEITZEL Matthias & VANDYCK Toon & TAMBA Marie & TCHUNG-MING Stephane & SORIA RAMIREZ Antonio & KRAUSE Jette & VAN DINGENEN Rita & SO CHAI Qimin & FU Sha & WEN X, 2020. "Global Energy and Climate Outlook 2019: Electrification for the low-carbon transition," JRC Research Reports JRC119619, Joint Research Centre.
    3. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    4. Rath-Nagel, St. & Voss, A., 1981. "Energy models for planning and policy assessment," European Journal of Operational Research, Elsevier, vol. 8(2), pages 99-114, October.
    5. Schafer, Andreas & Victor, David G., 2000. "The future mobility of the world population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 171-205, April.
    6. Jean-Michel Clairand & Javier Rodríguez-García & Carlos Álvarez-Bel, 2018. "Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation," Energies, MDPI, vol. 11(11), pages 1-21, November.
    7. Soares M.C. Borba, Bruno & Szklo, Alexandre & Schaeffer, Roberto, 2012. "Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil," Energy, Elsevier, vol. 37(1), pages 469-481.
    8. Daly, Hannah E. & Ramea, Kalai & Chiodi, Alessandro & Yeh, Sonia & Gargiulo, Maurizio & Gallachóir, Brian Ó, 2014. "Incorporating travel behaviour and travel time into TIMES energy system models," Applied Energy, Elsevier, vol. 135(C), pages 429-439.
    9. Pursiheimo, Esa & Holttinen, Hannele & Koljonen, Tiina, 2019. "Inter-sectoral effects of high renewable energy share in global energy system," Renewable Energy, Elsevier, vol. 136(C), pages 1119-1129.
    10. Müller, C. & Hoffrichter, A. & Wyrwoll, L. & Schmitt, C. & Trageser, M. & Kulms, T. & Beulertz, D. & Metzger, M. & Duckheim, M. & Huber, M. & Küppers, M. & Most, D. & Paulus, S. & Heger, H.J. & Schnet, 2019. "Modeling framework for planning and operation of multi-modal energy systems in the case of Germany," Applied Energy, Elsevier, vol. 250(C), pages 1132-1146.
    11. Zhang, Hongjun & Chen, Wenying & Huang, Weilong, 2016. "TIMES modelling of transport sector in China and USA: Comparisons from a decarbonization perspective," Applied Energy, Elsevier, vol. 162(C), pages 1505-1514.
    12. Piotr Wróblewski & Wojciech Drożdż & Wojciech Lewicki & Paweł Miązek, 2021. "Methodology for Assessing the Impact of Aperiodic Phenomena on the Energy Balance of Propulsion Engines in Vehicle Electromobility Systems for Given Areas," Energies, MDPI, vol. 14(8), pages 1-24, April.
    13. Bahn, Olivier & Marcy, Mathilde & Vaillancourt, Kathleen & Waaub, Jean-Philippe, 2013. "Electrification of the Canadian road transportation sector: A 2050 outlook with TIMES-Canada," Energy Policy, Elsevier, vol. 62(C), pages 593-606.
    14. Tattini, Jacopo & Gargiulo, Maurizio & Karlsson, Kenneth, 2018. "Reaching carbon neutral transport sector in Denmark – Evidence from the incorporation of modal shift into the TIMES energy system modeling framework," Energy Policy, Elsevier, vol. 113(C), pages 571-583.
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    1. Carrera-Rodríguez, Marcelino & Villegas-Alcaraz, José Francisco & Salazar-Hernández, Carmen & Mendoza-Miranda, Juan Manuel & Jiménez-Islas, Hugo & Segovia Hernández, Juan Gabriel & de Dios Ortíz-Alvar, 2022. "Monitoring of oil lubrication limits, fuel consumption, and excess CO2 production on civilian vehicles in Mexico," Energy, Elsevier, vol. 257(C).
    2. Viktorija Bobinaite & Inga Konstantinaviciute & Arvydas Galinis & Ausra Pazeraite & Vaclovas Miskinis & Mindaugas Cesnavicius, 2023. "Energy Sufficiency in the Passenger Transport of Lithuania," Sustainability, MDPI, vol. 15(7), pages 1-21, March.

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