[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v63y2013icp419-432.html
   My bibliography  Save this article

Modeling light-duty plug-in electric vehicles for national energy and transportation planning

Author

Listed:
  • Wu, Di
  • Aliprantis, Dionysios C.
Abstract
This paper sets forth a family of models of light-duty plug-in electric vehicle (PEV) fleets, appropriate for conducting long-term national-level planning studies of the energy and transportation sectors in an integrated manner. Using one of the proposed models, three case studies on the evolution of the U.S. energy and transportation infrastructures are performed, where portfolios of optimum investments over a 40-year horizon are identified, and interdependencies between the two sectors are highlighted. The results indicate that with a gradual but aggressive introduction of PEVs coupled with investments in renewable energy, the total cost from the energy and transportation systems can be reduced by 5%, and that overall emissions from electricity generation and light-duty vehicle (LDV) tailpipes can be reduced by 10% over the 40-year horizon. The annual gasoline consumption from LDVs can be reduced by 66% by the end of the planning horizon, but an additional 800TWh of annual electricity demand will be introduced. In addition, various scenarios of greenhouse gas (GHG) emissions reductions are investigated. It is found that GHG emissions can be significantly reduced with only a marginal cost increment, by shifting electricity generation from coal to renewable sources.

Suggested Citation

  • Wu, Di & Aliprantis, Dionysios C., 2013. "Modeling light-duty plug-in electric vehicles for national energy and transportation planning," Energy Policy, Elsevier, vol. 63(C), pages 419-432.
  • Handle: RePEc:eee:enepol:v:63:y:2013:i:c:p:419-432
    DOI: 10.1016/j.enpol.2013.07.132
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142151300832X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2013.07.132?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. Loiter, Jeffrey M. & Norberg-Bohm, Vicki, 1999. "Technology policy and renewable energy: public roles in the development of new energy technologies," Energy Policy, Elsevier, vol. 27(2), pages 85-97, February.
    2. Palmer, Karen & Burtraw, Dallas, 2005. "Cost-effectiveness of renewable electricity policies," Energy Economics, Elsevier, vol. 27(6), pages 873-894, November.
    3. Weiller, Claire, 2011. "Plug-in hybrid electric vehicle impacts on hourly electricity demand in the United States," Energy Policy, Elsevier, vol. 39(6), pages 3766-3778, June.
    4. Zhaoyang Duan & Lizhi Wang, 2011. "Heuristic algorithms for the inverse mixed integer linear programming problem," Journal of Global Optimization, Springer, vol. 51(3), pages 463-471, November.
    5. Wang, Jianhui & Liu, Cong & Ton, Dan & Zhou, Yan & Kim, Jinho & Vyas, Anantray, 2011. "Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power," Energy Policy, Elsevier, vol. 39(7), pages 4016-4021, July.
    6. Eppstein, Margaret J. & Grover, David K. & Marshall, Jeffrey S. & Rizzo, Donna M., 2011. "An agent-based model to study market penetration of plug-in hybrid electric vehicles," Energy Policy, Elsevier, vol. 39(6), pages 3789-3802, June.
    7. Sioshansi, Ramteen & Fagiani, Riccardo & Marano, Vincenzo, 2010. "Cost and emissions impacts of plug-in hybrid vehicles on the Ohio power system," Energy Policy, Elsevier, vol. 38(11), pages 6703-6712, November.
    8. Campos, Javier & de Rus, Ginés, 2009. "Some stylized facts about high-speed rail: A review of HSR experiences around the world," Transport Policy, Elsevier, vol. 16(1), pages 19-28, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ke, Xinda & Wu, Di & Rice, Jennie & Kintner-Meyer, Michael & Lu, Ning, 2016. "Quantifying impacts of heat waves on power grid operation," Applied Energy, Elsevier, vol. 183(C), pages 504-512.
    2. Van Can Nguyen & Chi-Tai Wang & Ying-Jiun Hsieh, 2021. "Electrification of Highway Transportation with Solar and Wind Energy," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
    3. Lena Ahmadi & Ali Elkamel & Sabah A. Abdul-Wahab & Michael Pan & Eric Croiset & Peter L. Douglas & Evgueniy Entchev, 2015. "Multi-Period Optimization Model for Electricity Generation Planning Considering Plug-in Hybrid Electric Vehicle Penetration," Energies, MDPI, vol. 8(5), pages 1-25, May.
    4. Ibrahim M. Hezam & Arunodaya Raj Mishra & Pratibha Rani & Fausto Cavallaro & Abhijit Saha & Jabir Ali & Wadim Strielkowski & Dalia Štreimikienė, 2022. "A Hybrid Intuitionistic Fuzzy-MEREC-RS-DNMA Method for Assessing the Alternative Fuel Vehicles with Sustainability Perspectives," Sustainability, MDPI, vol. 14(9), pages 1-32, May.
    5. Gürkan Kumbaroğlu & Cansu Canaz & Jonathan Deason & Ekundayo Shittu, 2020. "Profitable Decarbonization through E-Mobility," Energies, MDPI, vol. 13(16), pages 1-23, August.
    6. Chen, Yuche & Meier, Alan, 2016. "Fuel consumption impacts of auto roof racks," Energy Policy, Elsevier, vol. 92(C), pages 325-333.

    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. Nurre, Sarah G. & Bent, Russell & Pan, Feng & Sharkey, Thomas C., 2014. "Managing operations of plug-in hybrid electric vehicle (PHEV) exchange stations for use with a smart grid," Energy Policy, Elsevier, vol. 67(C), pages 364-377.
    2. Zhou, Ying & Wang, Lizhi & McCalley, James D., 2011. "Designing effective and efficient incentive policies for renewable energy in generation expansion planning," Applied Energy, Elsevier, vol. 88(6), pages 2201-2209, June.
    3. Saxena, Samveg & Gopal, Anand & Phadke, Amol, 2014. "Electrical consumption of two-, three- and four-wheel light-duty electric vehicles in India," Applied Energy, Elsevier, vol. 115(C), pages 582-590.
    4. Xiaohua Zhang & Jun Xie & Zhengwei Zhu & Jianfeng Zheng & Hao Qiang & Hailong Rong, 2016. "Smart Grid Cost-Emission Unit Commitment via Co-Evolutionary Agents," Energies, MDPI, vol. 9(10), pages 1-13, October.
    5. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
    6. Yong, Jia Ying & Ramachandaramurthy, Vigna K. & Tan, Kang Miao & Mithulananthan, N., 2015. "A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 365-385.
    7. Pol Olivella-Rosell & Roberto Villafafila-Robles & Andreas Sumper & Joan Bergas-Jané, 2015. "Probabilistic Agent-Based Model of Electric Vehicle Charging Demand to Analyse the Impact on Distribution Networks," Energies, MDPI, vol. 8(5), pages 1-28, May.
    8. Dongnyok Shim & Seung Wan Kim & Jörn Altmann & Yong Tae Yoon & Jin Gyo Kim, 2018. "Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    9. Schill, Wolf-Peter & Gerbaulet, Clemens, 2015. "Power system impacts of electric vehicles in Germany: Charging with coal or renewables?," Applied Energy, Elsevier, vol. 156(C), pages 185-196.
    10. Peng, Minghong & Liu, Lian & Jiang, Chuanwen, 2012. "A review on the economic dispatch and risk management of the large-scale plug-in electric vehicles (PHEVs)-penetrated power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1508-1515.
    11. Spiller, Elisheba & Sopher, Peter & Martin, Nicholas & Mirzatuny, Marita & Zhang, Xinxing, 2017. "The environmental impacts of green technologies in TX," Energy Economics, Elsevier, vol. 68(C), pages 199-214.
    12. Huang, Shisheng & Safiullah, Hameed & Xiao, Jingjie & Hodge, Bri-Mathias S. & Hoffman, Ray & Soller, Joan & Jones, Doug & Dininger, Dennis & Tyner, Wallace E. & Liu, Andrew & Pekny, Joseph F., 2012. "The effects of electric vehicles on residential households in the city of Indianapolis," Energy Policy, Elsevier, vol. 49(C), pages 442-455.
    13. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu & Liu, Junyao, 2023. "A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective," Applied Energy, Elsevier, vol. 331(C).
    14. Jung, Jaesung & Cho, Yongju & Cheng, Danling & Onen, Ahmet & Arghandeh, Reza & Dilek, Murat & Broadwater, Robert P., 2013. "Monte Carlo analysis of Plug-in Hybrid Vehicles and Distributed Energy Resource growth with residential energy storage in Michigan," Applied Energy, Elsevier, vol. 108(C), pages 218-235.
    15. Yabe, Kuniaki & Shinoda, Yukio & Seki, Tomomichi & Tanaka, Hideo & Akisawa, Atsushi, 2012. "Market penetration speed and effects on CO2 reduction of electric vehicles and plug-in hybrid electric vehicles in Japan," Energy Policy, Elsevier, vol. 45(C), pages 529-540.
    16. Arslan, Okan & Yıldız, Barış & Ekin Karaşan, Oya, 2014. "Impacts of battery characteristics, driver preferences and road network features on travel costs of a plug-in hybrid electric vehicle (PHEV) for long-distance trips," Energy Policy, Elsevier, vol. 74(C), pages 168-178.
    17. Aghaei, Jamshid & Nezhad, Ali Esmaeel & Rabiee, Abdorreza & Rahimi, Ehsan, 2016. "Contribution of Plug-in Hybrid Electric Vehicles in power system uncertainty management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 450-458.
    18. Wu, Fei & Sioshansi, Ramteen, 2017. "A two-stage stochastic optimization model for scheduling electric vehicle charging loads to relieve distribution-system constraints," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 55-82.
    19. Corbin, Charles, 2014. "Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration," MPRA Paper 58318, University Library of Munich, Germany.
    20. Kelly, Jarod C. & MacDonald, Jason S. & Keoleian, Gregory A., 2012. "Time-dependent plug-in hybrid electric vehicle charging based on national driving patterns and demographics," Applied Energy, Elsevier, vol. 94(C), pages 395-405.

    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:enepol:v:63:y:2013:i:c:p:419-432. 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/locate/enpol .

    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.