IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v115y2018icp109-118.html
   My bibliography  Save this article

Electrification of road freight transport: Policy implications in British Columbia

Author

Listed:
  • Talebian, Hoda
  • Herrera, Omar E.
  • Tran, Martino
  • Mérida, Walter

Abstract

Road transportation accounts for 25% of total greenhouse gas (GHG) emissions in British Columbia (B.C.) and more than half of these emissions originate from road freight transport. We examined the potential of all-electric freight trucks to achieve 64% GHG emissions reduction by 2040. The results suggest that even the stringent regulations on fuel efficiency of conventional trucks will fail to steadily decrease the emissions. More than 65% of freight trucks would have to run on all-electric powertrains which translates into 100% sector penetration as early as 2025. We assessed the available local energy resources for mass market penetration of all-electric trucks. The results suggest that every 1% of GHG emissions reduction from road freight transport would require 1.5–3.8% additional hydroelectric generation by 2040. Correspondingly, a 64% reduction requires 12–33TWh of electricity. That is 2.5–6.5 times the projected generation of the B.C.’s largest hydroelectric project in decades (Site C). Hence, new policies are required to support diversified renewable electricity generation and low-carbon pathways. For example, carbon capture and sequestration coupled with provincial reserves of natural gas can enable low-carbon hydrogen production and decrease the electricity requirements for zero-emission vehicles in B.C.

Suggested Citation

  • Talebian, Hoda & Herrera, Omar E. & Tran, Martino & Mérida, Walter, 2018. "Electrification of road freight transport: Policy implications in British Columbia," Energy Policy, Elsevier, vol. 115(C), pages 109-118.
  • Handle: RePEc:eee:enepol:v:115:y:2018:i:c:p:109-118
    DOI: 10.1016/j.enpol.2018.01.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518300041
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2018.01.004?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. Haewon McJeon & Jae Edmonds & Nico Bauer & Leon Clarke & Brian Fisher & Brian P. Flannery & Jérôme Hilaire & Volker Krey & Giacomo Marangoni & Raymond Mi & Keywan Riahi & Holger Rogner & Massimo Tavon, 2014. "Limited impact on decadal-scale climate change from increased use of natural gas," Nature, Nature, vol. 514(7523), pages 482-485, October.
    2. Azadeh Maroufmashat & Michael Fowler, 2017. "Transition of Future Energy System Infrastructure; through Power-to-Gas Pathways," Energies, MDPI, vol. 10(8), pages 1-22, July.
    3. Da, Zhi & Huang, Dayong & Yun, Hayong, 2017. "Industrial Electricity Usage and Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 37-69, February.
    4. Hao, Han & Geng, Yong & Li, Weiqi & Guo, Bin, 2015. "Energy consumption and GHG emissions from China's freight transport sector: Scenarios through 2050," Energy Policy, Elsevier, vol. 85(C), pages 94-101.
    5. Thráinn Fridriksson & Almudena Mateos & Pierre Audinet & Yasemin Orucu, 2016. "Greenhouse Gases from Geothermal Power Production," World Bank Publications - Reports 24691, The World Bank Group.
    6. Mehra, Roopesh Kumar & Duan, Hao & Juknelevičius, Romualdas & Ma, Fanhua & Li, Junyin, 2017. "Progress in hydrogen enriched compressed natural gas (HCNG) internal combustion engines - A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1458-1498.
    7. Limanond, Thirayoot & Jomnonkwao, Sajjakaj & Srikaew, Artit, 2011. "Projection of future transport energy demand of Thailand," Energy Policy, Elsevier, vol. 39(5), pages 2754-2763, May.
    8. Eom, Jiyong & Schipper, Lee & Thompson, Lou, 2012. "We keep on truckin': Trends in freight energy use and carbon emissions in 11 IEA countries," Energy Policy, Elsevier, vol. 45(C), pages 327-341.
    9. Center for Study of Science, Technology and Policy CSTEP, 2017. "Electric Buses in India: Technology, Policy and Benefits," Working Papers id:11924, eSocialSciences.
    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. Colovic, Aleksandra & Marinelli, Mario & Ottomanelli, Michele, 2024. "Towards the electrification of freight transport: A network design model for assessing the adoption of eHighways," Transport Policy, Elsevier, vol. 150(C), pages 106-120.
    2. Hensher, David A. & Wei, Edward, 2024. "Energy and environmental costs in transitioning to zero and low emission trucks for the Australian truck Fleet: An industry perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    3. Flávia Mendes de Almeida Collaço & Ana Carolina Rodrigues Teixeira & Pedro Gerber Machado & Raquel Rocha Borges & Thiago Luis Felipe Brito & Dominique Mouette, 2022. "Road Freight Transport Literature and the Achievements of the Sustainable Development Goals—A Systematic Review," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    4. Liimatainen, Heikki & van Vliet, Oscar & Aplyn, David, 2019. "The potential of electric trucks – An international commodity-level analysis," Applied Energy, Elsevier, vol. 236(C), pages 804-814.
    5. Haider, Minza & Davis, Matthew & Kumar, Amit, 2024. "Development of a framework to assess the greenhouse gas mitigation potential from the adoption of low-carbon road vehicles in a hydrocarbon-rich region," Applied Energy, Elsevier, vol. 358(C).
    6. Xiaoxuan Wei & Meng Ye & Liang Yuan & Wei Bi & Weisheng Lu, 2022. "Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    7. Davatgari, Amir & Cokyasar, Taner & Subramanyam, Anirudh & Larson, Jeffrey & Mohammadian, Abolfazl (Kouros), 2024. "Electric vehicle supply equipment location and capacity allocation for fixed-route networks," European Journal of Operational Research, Elsevier, vol. 317(3), pages 953-966.
    8. Li, Danyang & Chen, Wenying, 2019. "TIMES modeling of the large-scale popularization of electric vehicles under the worldwide prohibition of liquid vehicle sales," Applied Energy, Elsevier, vol. 254(C).
    9. Juan C. González Palencia & Van Tuan Nguyen & Mikiya Araki & Seiichi Shiga, 2020. "The Role of Powertrain Electrification in Achieving Deep Decarbonization in Road Freight Transport," Energies, MDPI, vol. 13(10), pages 1-24, May.
    10. Plötz, Patrick & Gnann, Till & Jochem, Patrick & Yilmaz, Hasan Ümitcan & Kaschub, Thomas, 2019. "Impact of electric trucks powered by overhead lines on the European electricity system and CO2 emissions," Energy Policy, Elsevier, vol. 130(C), pages 32-40.
    11. Li, Yanfei & Chang, Youngho, 2019. "Road transport electrification and energy security in the Association of Southeast Asian Nations: Quantitative analysis and policy implications," Energy Policy, Elsevier, vol. 129(C), pages 805-815.
    12. Hammond, William & Axsen, Jonn & Kjeang, Erik, 2020. "How to slash greenhouse gas emissions in the freight sector: Policy insights from a technology-adoption model of Canada," Energy Policy, Elsevier, vol. 137(C).

    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. Luo, Xiao & Dong, Liang & Dou, Yi & Liang, Hanwei & Ren, Jingzheng & Fang, Kai, 2016. "Regional disparity analysis of Chinese freight transport CO2 emissions from 1990 to 2007: Driving forces and policy challenges," Journal of Transport Geography, Elsevier, vol. 56(C), pages 1-14.
    2. Hualong Yang & Xuefei Ma & Yuwei Xing, 2017. "Trends in CO 2 Emissions from China-Oriented International Marine Transportation Activities and Policy Implications," Energies, MDPI, vol. 10(7), pages 1-17, July.
    3. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    4. Chen, Yong & Da, Zhi & Huang, Dayong, 2022. "Short selling efficiency," Journal of Financial Economics, Elsevier, vol. 145(2), pages 387-408.
    5. Atul Anand & L Suganthi, 2018. "Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand," Energies, MDPI, vol. 11(4), pages 1-15, March.
    6. Tang, Yuanyou & Wang, Yang & Long, Wuqiang & Xiao, Ge & Wang, Yongjian & Li, Weixing, 2023. "Analysis and enhancement of methanol reformer performance for online reforming based on waste heat recovery of methanol-diesel dual direct injection engine," Energy, Elsevier, vol. 283(C).
    7. Erik Heilmann & Janosch Henze & Heike Wetzel, 2021. "Machine learning in energy forecasts with an application to high frequency electricity consumption data," MAGKS Papers on Economics 202135, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    8. Solaymani, Saeed, 2019. "CO2 emissions patterns in 7 top carbon emitter economies: The case of transport sector," Energy, Elsevier, vol. 168(C), pages 989-1001.
    9. Navas-Anguita, Zaira & García-Gusano, Diego & Iribarren, Diego, 2019. "A review of techno-economic data for road transportation fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 11-26.
    10. Ashley Lim & Yihui Lan & Sirimon Treepongkaruna, 2020. "Asset pricing and energy consumption risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3813-3850, December.
    11. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    12. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 115-138, March.
    13. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, September.
    14. Wu, Qunli & Peng, Chenyang, 2017. "A hybrid BAG-SA optimal approach to estimate energy demand of China," Energy, Elsevier, vol. 120(C), pages 985-995.
    15. Hafezi, Reza & Akhavan, AmirNaser & Pakseresht, Saeed & Wood, David A., 2019. "A Layered Uncertainties Scenario Synthesizing (LUSS) model applied to evaluate multiple potential long-run outcomes for Iran's natural gas exports," Energy, Elsevier, vol. 169(C), pages 646-659.
    16. Xiaoxuan Wei & Meng Ye & Liang Yuan & Wei Bi & Weisheng Lu, 2022. "Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    17. Satrio Mukti Wibowo & Dedi Budiman Hakim & Baba Barus & Akhmad Fauzi, 2022. "Estimation of Energy Demand in Indonesia using Artificial Neural Network," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 261-271, November.
    18. Dedinec, Aleksandar & Taseska-Gjorgievska, Verica & Markovska, Natasa & Pop-Jordanov, Jordan & Kanevce, Gligor & Goldstein, Gary & Pye, Steve & Taleski, Rubin, 2016. "Low emissions development pathways of the Macedonian energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1202-1211.
    19. Nicholas Preston & Azadeh Maroufmashat & Hassan Riaz & Sami Barbouti & Ushnik Mukherjee & Peter Tang & Javan Wang & Ali Elkamel & Michael Fowler, 2021. "An Economic, Environmental and Safety Analysis of Using Hydrogen Enriched Natural Gas (HENG) in Industrial Facilities," Energies, MDPI, vol. 14(9), pages 1-21, April.
    20. Song, Hongqing & Ou, Xunmin & Yuan, Jiehui & Yu, Mingxu & Wang, Cheng, 2017. "Energy consumption and greenhouse gas emissions of diesel/LNG heavy-duty vehicle fleets in China based on a bottom-up model analysis," Energy, Elsevier, vol. 140(P1), pages 966-978.

    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:115:y:2018:i:c:p:109-118. 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.