IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i16p3936-d1452534.html
   My bibliography  Save this article

Competitive Analysis of Heavy Trucks with Five Types of Fuels under Different Scenarios—A Case Study of China

Author

Listed:
  • Mingyue Hu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xiao Wu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yue Yuan

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Chuanbo Xu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

Abstract

As the country that emits the most carbon in the world, China needs significant and urgent changes in carbon emission control in the transportation sector in order to achieve the goals of reaching peak carbon emissions before 2030 and achieving carbon neutrality by 2060. Therefore, the promotion of new energy vehicles has become the key factor to achieve these two objectives. For the reason that the comprehensive transportation cost directly affects the end customer’s choice of heavy truck models, this work compares the advantages, disadvantages, and economic feasibility of diesel, liquefied natural gas (LNG), electric, hydrogen, and methanol heavy trucks from a total life cycle cost and end-user perspective under various scenarios. The study results show that when the prices of diesel, LNG, electricity, and methanol fuels are at their highest, and the price of hydrogen is 35 CNY/kg, the total life cycle cost of the five types of heavy trucks from highest to lowest are hydrogen heavy trucks (HHT), methanol heavy trucks (MHT), diesel heavy trucks (DHT), electric heavy trucks (EHT), and LNG heavy trucks (LNGHT), ignoring the adverse effects of cold environments on car batteries. When the prices of diesel, LNG, electricity, and methanol fuels are at average or lowest levels, and the price of hydrogen is 30 CNY/kg or 25 CNY/kg, the life cycle cost of the five heavy trucks from highest to lowest are HHT, DHT, MHT, EHT, and LNGHT. When considering the impact of cold environments, even with lower electricity prices, EHT struggle to be economical when LNG prices are low. If the electricity price is above 1 CNY/kWh, regardless of the impact of cold environments, the economic viability of EHT is lower than that of HHT with a purchase cost of 500,000 CNY and a hydrogen price of 25 CNY/kg. Simultaneously, an exhaustive competitiveness analysis of heavy trucks powered by diverse energy sources highlights the specific categories of heavy trucks that ought to be prioritized for development during various periods and the challenges they confront. Finally, based on the analysis results and future development trends, the corresponding policy recommendations are proposed to facilitate high decarbonization in the transportation sector.

Suggested Citation

  • Mingyue Hu & Xiao Wu & Yue Yuan & Chuanbo Xu, 2024. "Competitive Analysis of Heavy Trucks with Five Types of Fuels under Different Scenarios—A Case Study of China," Energies, MDPI, vol. 17(16), pages 1-21, August.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:3936-:d:1452534
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/16/3936/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/16/3936/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Burke, Andrew & Sinha, Anish Kumar, 2020. "Technology, Sustainability, and Marketing of Battery Electric and Hydrogen Fuel Cell Medium-Duty and Heavy-Duty Trucks and Buses in 2020-2040," Institute of Transportation Studies, Working Paper Series qt7s25d8bc, Institute of Transportation Studies, UC Davis.
    2. Aiman Albatayneh & Adel Juaidi & Mustafa Jaradat & Francisco Manzano-Agugliaro, 2023. "Future of Electric and Hydrogen Cars and Trucks: An Overview," Energies, MDPI, vol. 16(7), pages 1-16, April.
    3. Andile Nqodi & Thapelo C. Mosetlhe & Adedayo A. Yusuff, 2023. "Advances in Hydrogen-Powered Trains: A Brief Report," Energies, MDPI, vol. 16(18), pages 1-11, September.
    4. Qusay Hassan & Itimad D. J. Azzawi & Aws Zuhair Sameen & Hayder M. Salman, 2023. "Hydrogen Fuel Cell Vehicles: Opportunities and Challenges," Sustainability, MDPI, vol. 15(15), pages 1-26, July.
    5. Yuemeng Zhang & Jia Wang & Zhanhui Yao, 2023. "Recent Development of Fuel Cell Core Components and Key Materials: A Review," Energies, MDPI, vol. 16(5), pages 1-23, February.
    6. Qian Zhao & Wenke Huang & Mingwei Hu & Xiaoxiao Xu & Wenlin Wu, 2021. "Characterizing the Economic and Environmental Benefits of LNG Heavy-Duty Trucks: A Case Study in Shenzhen, China," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    7. Navid Balazadeh Meresht & Sina Moghadasi & Sandeep Munshi & Mahdi Shahbakhti & Gordon McTaggart-Cowan, 2023. "Advances in Vehicle and Powertrain Efficiency of Long-Haul Commercial Vehicles: A Review," Energies, MDPI, vol. 16(19), pages 1-37, September.
    8. Danielis, Romeo & Giansoldati, Marco & Rotaris, Lucia, 2018. "A probabilistic total cost of ownership model to evaluate the current and future prospects of electric cars uptake in Italy," Energy Policy, Elsevier, vol. 119(C), pages 268-281.
    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. Romeo Danielis & Mariangela Scorrano & Manuela Masutti & Asees Muhammad Awan & Arsalan Muhammad Khan Niazi, 2024. "The Economic Competitiveness of Hydrogen Fuel Cell-Powered Trucks: A Review of Total Cost of Ownership Estimates," Energies, MDPI, vol. 17(11), pages 1-19, May.
    2. Zhexuan Mu & Fuquan Zhao & Fanlong Bai & Zongwei Liu & Han Hao, 2024. "Evaluating Fuel Cell vs. Battery Electric Trucks: Economic Perspectives in Alignment with China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 16(6), pages 1-22, March.
    3. Carlo, Mr. Antonio & Breda, Dr. Paola, 2024. "Impact of space systems capabilities and their role as critical infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 45(C).
    4. Iogansen, Xiatian & Wang, Kailai & Bunch, David & Matson, Grant & Circella, Giovanni, 2023. "Deciphering the factors associated with adoption of alternative fuel vehicles in California: An investigation of latent attitudes, socio-demographics, and neighborhood effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    5. Yiming Zhao & Yongye Li & Xihuan Sun, 2023. "Transient Model for the Hydrodynamic Force in a Hydraulic Capsule Pipeline Transport System," Sustainability, MDPI, vol. 15(21), pages 1-14, November.
    6. Emily Schulte & Fabian Scheller & Wilmer Pasut & Thomas Bruckner, 2021. "Product traits, decision-makers, and household low-carbon technology adoptions: moving beyond single empirical studies," Papers 2112.11867, arXiv.org.
    7. Fan Li & Dong Liu & Ke Sun & Songheng Yang & Fangzheng Peng & Kexin Zhang & Guodong Guo & Yuan Si, 2024. "Towards a Future Hydrogen Supply Chain: A Review of Technologies and Challenges," Sustainability, MDPI, vol. 16(5), pages 1-36, February.
    8. Schwab, Julia & Sölch, Christian & Zöttl, Gregor, 2022. "Electric Vehicle Cost in 2035: The impact of market penetration and charging strategies," Energy Economics, Elsevier, vol. 114(C).
    9. 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).
    10. Shuihua Han & Yudi Mo & Zhenyuan Liu & Cheng Lei & Zhen Ye, 2024. "The impact of public climate change concern on sustainable product consumption: a case study of new energy vehicles in China," Annals of Operations Research, Springer, vol. 342(1), pages 323-353, November.
    11. Danielis, Romeo & Scorrano, Mariangela & Giansoldati, Marco & Rotaris, Lucia, 2019. "A meta-analysis of the importance of the driving range in consumers’ preference studies for battery electric vehicles," Working Papers 19_2, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    12. Roberta Riverso & Carmela Altamura & Francesco La Barbera, 2023. "Consumer Intention to Buy Electric Cars: Integrating Uncertainty in the Theory of Planned Behavior," Sustainability, MDPI, vol. 15(11), pages 1-13, May.
    13. Gil Ribeiro, Carolina & Silveira, Semida, 2024. "The impact of financial incentives on the total cost of ownership of electric light commercial vehicles in EU countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    14. Scorrano, Mariangela & Danielis, Romeo & Giansoldati, Marco, 2020. "Dissecting the total cost of ownership of fully electric cars in Italy: The impact of annual distance travelled, home charging and urban driving," Research in Transportation Economics, Elsevier, vol. 80(C).
    15. Levent Özlü & Dilay Çelebi, 2024. "Electrifying Freight: Modeling the Decision-Making Process for Battery Electric Truck Procurement," Sustainability, MDPI, vol. 16(9), pages 1-23, April.
    16. Viri, Riku & Mäkinen, Johanna & Liimatainen, Heikki, 2021. "Modelling car fleet renewal in Finland: A model and development speed-based scenarios," Transport Policy, Elsevier, vol. 112(C), pages 63-79.
    17. El Hafdaoui, Hamza & Jelti, Faissal & Khallaayoun, Ahmed & Jamil, Abdelmajid & Ouazzani, Kamar, 2024. "Energy and environmental evaluation of alternative fuel vehicles in Maghreb countries," Innovation and Green Development, Elsevier, vol. 3(1).
    18. Yecid Alfonso Mu oz Maldonado & C sar Acevedo & Edward Jerez & Carlos Sarmiento & Miguel De La Rosa & Adalberto Ospino, 2021. "Transition of Electric Mobility in Colombia: Technical and Economic Evaluation of Scenarios for the Integration of E-taxis in Bucaramanga," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 461-469.
    19. Mariangela Scorrano & Romeo Danielis & Stefano Pastore & Vanni Lughi & Alessandro Massi Pavan, 2020. "Modeling the Total Cost of Ownership of an Electric Car Using a Residential Photovoltaic Generator and a Battery Storage Unit—An Italian Case Study," Energies, MDPI, vol. 13(10), pages 1-21, May.
    20. Carlo Cunanan & Manh-Kien Tran & Youngwoo Lee & Shinghei Kwok & Vincent Leung & Michael Fowler, 2021. "A Review of Heavy-Duty Vehicle Powertrain Technologies: Diesel Engine Vehicles, Battery Electric Vehicles, and Hydrogen Fuel Cell Electric Vehicles," Clean Technol., MDPI, vol. 3(2), pages 1-16, June.

    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:gam:jeners:v:17:y:2024:i:16:p:3936-:d:1452534. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.