IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v364y2024ics0306261924003854.html
   My bibliography  Save this article

Power system operational impacts of electric vehicle dynamic wireless charging

Author

Listed:
  • Sauter, A.J.
  • Lara, José Daniel
  • Turk, Jennifer
  • Milford, Jana
  • Hodge, Bri-Mathias

Abstract

The electrification of the transportation sector poses an opportunity for reducing greenhouse gas (GHG) emissions from passenger vehicles. Electric vehicle (EV) charging through dynamic wireless power transfer (DWPT), known as roadway electrification, could shift EV demand profiles to better coincide with renewable electricity generation. However, this would be a very large new load and few studies evaluate the regional impacts of DWPT charging in a power transmission system. This paper defines methods that address dataset generation for passenger vehicle trips and models to evaluate regional impacts for this emerging technology. Household vehicle miles traveled (VMT) data form localized EV demand profiles through discrete-event simulation. This data serves as exogenous inputs for a Production Cost Model (PCM) of a synthetic transmission system based on the Electric Reliability Council of Texas’s (ERCOT) network. EV charging methods are compared for both a 2018 baseline generation mixture and a high-renewable generation case incorporating 20 GW of installed solar photovoltaic (PV) capacity. The PCM employs unit commitment and economic dispatch (UC&ED) models to compare financial, environmental, and grid reliability impacts from EV charging across passenger EV adoption levels. In-transit charging could reduce grid operational costs by as much as 1.49%, with up to $13.7B saved in annual vehicle operational costs for consumers compared to gas-powered vehicles. Health impacts analysis from power plant and vehicle tailpipe emissions from this study show net health benefits increase by 40% for in-transit charging coupled with high renewable generation. Renewable resources provide an avenue for cost-effective in-transit charging with reduced emissions. The combination of dataset generation and open-source power system modeling establish a foundation for the holistic evaluation of regional DWPT impacts.

Suggested Citation

  • Sauter, A.J. & Lara, José Daniel & Turk, Jennifer & Milford, Jana & Hodge, Bri-Mathias, 2024. "Power system operational impacts of electric vehicle dynamic wireless charging," Applied Energy, Elsevier, vol. 364(C).
    • Handle: RePEc:eee:appene:v:364:y:2024:i:c:s0306261924003854
    DOI: 10.1016/j.apenergy.2024.123002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924003854
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123002?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. Haddad, Diala & Konstantinou, Theodora & Aliprantis, Dionysios & Gkritza, Konstantina & Pekarek, Steven & Haddock, John, 2022. "Analysis of the financial viability of high-powered electric roadways: A case study for the state of Indiana," Energy Policy, Elsevier, vol. 171(C).
    2. Doubleday, Kate & Lara, José Daniel & Hodge, Bri-Mathias, 2022. "Investigation of stochastic unit commitment to enable advanced flexibility measures for high shares of solar PV," Applied Energy, Elsevier, vol. 321(C).
    3. Siobhan Powell & Gustavo Vianna Cezar & Liang Min & Inês M. L. Azevedo & Ram Rajagopal, 2022. "Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption," Nature Energy, Nature, vol. 7(10), pages 932-945, October.
    4. Mowry, Andrew M. & Mallapragada, Dharik S., 2021. "Grid impacts of highway electric vehicle charging and role for mitigation via energy storage," Energy Policy, Elsevier, vol. 157(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. Zhao, Yang & Jiang, Ziyue & Chen, Xinyu & Liu, Peng & Peng, Tianduo & Shu, Zhan, 2023. "Toward environmental sustainability: data-driven analysis of energy use patterns and load profiles for urban electric vehicle fleets," Energy, Elsevier, vol. 285(C).
    2. Verónica Anadón Martínez & Andreas Sumper, 2023. "Planning and Operation Objectives of Public Electric Vehicle Charging Infrastructures: A Review," Energies, MDPI, vol. 16(14), pages 1-41, July.
    3. Varone, Alberto & Heilmann, Zeno & Porruvecchio, Guido & Romanino, Alessandro, 2024. "Solar parking lot management: An IoT platform for smart charging EV fleets, using real-time data and production forecasts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    4. Alejandro Sanz & Peter Meyer, 2024. "Electrifying the Last-Mile Logistics (LML) in Intensive B2B Operations—An European Perspective on Integrating Innovative Platforms," Logistics, MDPI, vol. 8(2), pages 1-39, April.
    5. Powell, Siobhan & Martin, Sonia & Rajagopal, Ram & Azevedo, Inês M.L. & de Chalendar, Jacques, 2024. "Future-proof rates for controlled electric vehicle charging: Comparing multi-year impacts of different emission factor signals," Energy Policy, Elsevier, vol. 190(C).
    6. Saeed Alyami, 2024. "Ensuring Sustainable Grid Stability through Effective EV Charging Management: A Time and Energy-Based Approach," Sustainability, MDPI, vol. 16(14), pages 1-15, July.
    7. Thi Ngoc Nguyen & Felix Muesgens, 2024. "Fuel tax loss in a world of electric mobility: A window of opportunity for congestion pricing," Papers 2409.20033, arXiv.org.
    8. Zhang, Shulei & Jia, Runda & Pan, Hengxin & Cao, Yankai, 2023. "A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid," Applied Energy, Elsevier, vol. 348(C).
    9. Pampa Sinha & Kaushik Paul & Sanchari Deb & Sulabh Sachan, 2023. "Comprehensive Review Based on the Impact of Integrating Electric Vehicle and Renewable Energy Sources to the Grid," Energies, MDPI, vol. 16(6), pages 1-39, March.
    10. Rabl, Regina & Reuter-Oppermann, Melanie & Jochem, Patrick E.P., 2024. "Charging infrastructure for electric vehicles in New Zealand," Transport Policy, Elsevier, vol. 148(C), pages 124-144.
    11. Li, Xiaohui & Wang, Zhenpo & Zhang, Lei & Sun, Fengchun & Cui, Dingsong & Hecht, Christopher & Figgener, Jan & Sauer, Dirk Uwe, 2023. "Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview," Energy, Elsevier, vol. 268(C).
    12. Say, Kelvin & Brown, Felix Gabriel & Csereklyei, Zsuzsanna, 2024. "The economics of public transport electrification: When does infrastructure investment matter?," Applied Energy, Elsevier, vol. 360(C).
    13. Maxwell Woody & Gregory A. Keoleian & Parth Vaishnav, 2023. "Decarbonization potential of electrifying 50% of U.S. light-duty vehicle sales by 2030," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    14. Bruno Knevitz Hammerschmitt & Clodomiro Unsihuay-Vila & Jordan Passinato Sausen & Marcelo Bruno Capeletti & Alexandre Rasi Aoki & Mateus Duarte Teixeira & Carlos Henrique Barriquello & Alzenira da Ros, 2024. "Adaptive Charging Simulation Model for Different Electric Vehicles and Mobility Patterns," Energies, MDPI, vol. 17(16), pages 1-21, August.
    15. Jiehong Lou & Xingchi Shen & Deb A. Niemeier & Nathan Hultman, 2024. "Income and racial disparity in household publicly available electric vehicle infrastructure accessibility," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    16. Sarah A. Steinbach & Maximilian J. Blaschke, 2024. "How grid reinforcement costs differ by the income of electric vehicle users," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    17. Jiang, Qinhua & Zhang, Ning & Yueshuai He, Brian & Lee, Changju & Ma, Jiaqi, 2024. "Large-scale public charging demand prediction with a scenario- and activity-based approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    18. Nico Brinkel & Thijs Wijk & Anoeska Buijze & Nanda Kishor Panda & Jelle Meersmans & Peter Markotić & Bart Ree & Henk Fidder & Baerte Brey & Simon Tindemans & Tarek AlSkaif & Wilfried Sark, 2024. "Enhancing smart charging in electric vehicles by addressing paused and delayed charging problems," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    19. Kreft, Markus & Brudermueller, Tobias & Fleisch, Elgar & Staake, Thorsten, 2024. "Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity," Applied Energy, Elsevier, vol. 370(C).
    20. Teevrat Garg & Ryan Hanna & Jeffrey Myers & Sebastian Tebbe & David G. Victor, 2024. "Electric Vehicle Charging at the Workplace: Experimental Evidence on Incentives and Environmental Nudges," CESifo Working Paper Series 11445, CESifo.

    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:appene:v:364:y:2024:i:c:s0306261924003854. 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/405891/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.