IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v199y2024ics136403212400193x.html
   My bibliography  Save this article

Making sense of life cycle assessment results of electrified vehicles

Author

Listed:
  • Alexander, Scarlett
  • Abraham, John

Abstract

Battery electric vehicles and plug-in hybrid electric vehicles can have life-cycle carbon dioxide emissions that can be close, within 5 % of each other, or very different depending on the efficiencies of the powertrain, relative contributions of battery and combustion engine to the traction power, and source of electricity. Life cycle assessments can provide insight into the variability in carbon dioxide emissions, but they are time consuming. In this work a simplified model that can explain the carbon dioxide emissions during the well-to-wheels portion of the life cycle is developed. The robustness of the simplified model is evaluated by varying parameters and comparing its results with those from the life cycle assessment. Assumptions must be made to conduct the assessment. The assumptions include the efficiencies of the internal combustion engine, the battery, the drivetrain, and regenerative braking, and the relative contribution of the battery to traction power in the plug-in hybrid electric vehicle. Renewable and non-renewable sources of generating electricity are considered. It is concluded that a plug-in hybrid electric vehicle with the same parameters as the battery electric vehicle can potentially be lower emitting only when the emissions factor of the electricity generation and the internal combustion engine efficiency are high. For low carbon intensity electricity generation, the plug-in vehicle emits more carbon dioxide than the battery electric vehicle for the range of internal combustion engine efficiencies considered.

Suggested Citation

  • Alexander, Scarlett & Abraham, John, 2024. "Making sense of life cycle assessment results of electrified vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
  • Handle: RePEc:eee:rensus:v:199:y:2024:i:c:s136403212400193x
    DOI: 10.1016/j.rser.2024.114470
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S136403212400193X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2024.114470?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stacey L. Dolan & Garvin A. Heath, 2012. "Life Cycle Greenhouse Gas Emissions of Utility‐Scale Wind Power," Journal of Industrial Ecology, Yale University, vol. 16(s1), pages 136-154, April.
    2. Han Hao & Zhexuan Mu & Shuhua Jiang & Zongwei Liu & Fuquan Zhao, 2017. "GHG Emissions from the Production of Lithium-Ion Batteries for Electric Vehicles in China," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    3. Liu, Weipeng & Peng, Tao & Kishita, Yusuke & Umeda, Yasushi & Tang, Renzhong & Tang, Wangchujun & Hu, Luoke, 2021. "Critical life cycle inventory for aluminum die casting: A lightweight-vehicle manufacturing enabling technology," Applied Energy, Elsevier, vol. 304(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kumar, Indraneel & Tyner, Wallace E. & Sinha, Kumares C., 2016. "Input–output life cycle environmental assessment of greenhouse gas emissions from utility scale wind energy in the United States," Energy Policy, Elsevier, vol. 89(C), pages 294-301.
    2. Niklas Andersen & Ola Eriksson & Karl Hillman & Marita Wallhagen, 2016. "Wind Turbines’ End-of-Life: Quantification and Characterisation of Future Waste Materials on a National Level," Energies, MDPI, vol. 9(12), pages 1-24, November.
    3. Maksymilian Mądziel, 2023. "Liquified Petroleum Gas-Fuelled Vehicle CO 2 Emission Modelling Based on Portable Emission Measurement System, On-Board Diagnostics Data, and Gradient-Boosting Machine Learning," Energies, MDPI, vol. 16(6), pages 1-15, March.
    4. Wang, An & Tu, Ran & Gai, Yijun & Pereira, Lucas G. & Vaughan, J. & Posen, I. Daniel & Miller, Eric J. & Hatzopoulou, Marianne, 2020. "Capturing uncertainty in emission estimates related to vehicle electrification and implications for metropolitan greenhouse gas emission inventories," Applied Energy, Elsevier, vol. 265(C).
    5. Haider Al-Rubaye & Joseph D. Smith & Mohammed H. S. Zangana & Prashant Nagapurkar & Yishu Zhou & Greg Gelles, 2022. "Advances in Energy Hybridization for Resilient Supply: A Sustainable Approach to the Growing World Demand," Energies, MDPI, vol. 15(16), pages 1-13, August.
    6. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    7. Liu, Weipeng & Zhao, Chunhui & Peng, Tao & Zhang, Zhongwei & Wan, Anping, 2023. "Simulation-assisted multi-process integrated optimization for greentelligent aluminum casting," Applied Energy, Elsevier, vol. 336(C).
    8. Riccardo Basosi & Roberto Bonciani & Dario Frosali & Giampaolo Manfrida & Maria Laura Parisi & Franco Sansone, 2020. "Life Cycle Analysis of a Geothermal Power Plant: Comparison of the Environmental Performance with Other Renewable Energy Systems," Sustainability, MDPI, vol. 12(7), pages 1-29, April.
    9. Shen, Angxing & Zhang, Jihong, 2024. "Technologies for CO2 emission reduction and low-carbon development in primary aluminum industry in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    10. Jones, Christopher & Gilbert, Paul & Raugei, Marco & Mander, Sarah & Leccisi, Enrica, 2017. "An approach to prospective consequential life cycle assessment and net energy analysis of distributed electricity generation," Energy Policy, Elsevier, vol. 100(C), pages 350-358.
    11. Menten, Fabio & Chèze, Benoît & Patouillard, Laure & Bouvart, Frédérique, 2013. "A review of LCA greenhouse gas emissions results for advanced biofuels: The use of meta-regression analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 108-134.
    12. Velasquez, Carlos E. & M.Chaves, Gustavo & M.Motta, Deborah & Bitencourt G. L. e Estanislau, Fidellis, 2024. "Carbon dioxide life cycle assessment for Brazilian passenger cars fleet towards 2050," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    13. Schell, Kristen R. & Claro, João & Fischbeck, Paul, 2015. "Geographic attribution of an electricity system renewable energy target: Local economic, social and environmental tradeoffs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 884-902.
    14. Daniele Stampatori & Pier Paolo Raimondi & Michel Noussan, 2020. "Li-Ion Batteries: A Review of a Key Technology for Transport Decarbonization," Energies, MDPI, vol. 13(10), pages 1-23, May.
    15. Wang, Like & Wang, Yuan & Du, Huibin & Zuo, Jian & Yi Man Li, Rita & Zhou, Zhihua & Bi, Fenfen & Garvlehn, McSimon P., 2019. "A comparative life-cycle assessment of hydro-, nuclear and wind power: A China study," Applied Energy, Elsevier, vol. 249(C), pages 37-45.
    16. Ma, Shuaiyin & Huang, Yuming & Liu, Yang & Liu, Haizhou & Chen, Yanping & Wang, Jin & Xu, Jun, 2023. "Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries," Applied Energy, Elsevier, vol. 349(C).
    17. Richard Wallsgrove & Jisuk Woo & Jae-Hyup Lee & Lorraine Akiba, 2021. "The Emerging Potential of Microgrids in the Transition to 100% Renewable Energy Systems," Energies, MDPI, vol. 14(6), pages 1-28, March.
    18. Johnson, R.C. & Mayfield, M., 2020. "The economic and environmental implications of post feed-in tariff PV on constrained low voltage networks," Applied Energy, Elsevier, vol. 279(C).
    19. Elshkaki, Ayman & Shen, Lei, 2019. "Energy-material nexus: The impacts of national and international energy scenarios on critical metals use in China up to 2050 and their global implications," Energy, Elsevier, vol. 180(C), pages 903-917.
    20. Andrius Kulsinskas & Petar Durdevic & Daniel Ortiz-Arroyo, 2021. "Internal Wind Turbine Blade Inspections Using UAVs: Analysis and Design Issues," Energies, MDPI, vol. 14(2), pages 1-19, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:199:y:2024:i:c:s136403212400193x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.