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Evaluation of Fuel Cell Auxiliary Power Units for Heavy-Duty Diesel Trucks

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  • Brodrick, Christie-Joy
  • Lipman, Timothy
  • Farshchi, Mohammad
  • Lutsey, Nicholas P.
  • Dwyer, Harry A.
  • Sperling, Dan
  • Gouse, Bill
  • Harris, D Bruce
  • King, Foy G

Abstract

A large number of heavy-duty trucks idle a significant amount. Heavy-duty line-haul truck engines idle about 20-40% of the time the engine is running, depending on season and operation. Drivers idle engines to power climate control devices (e.g., heaters and air conditioners) and sleeper compartment accessories (e.g., refrigerators, microwave ovens, and televisions) and to avoid start-up problems in cold weather. Idling increases air pollution and energy use, as well as wear and tear on engines. Efforts to reduce truck idling in the US have been sporadic, in part because it is widely viewed in the trucking industry that further idling restrictions would unduly compromise driver comfort and truck operations. The auxiliary power units (APU's) available to replace the idling of the diesel traction engine all have had limited trucking industry acceptance. Fuel cells are a promising APU technology. Fuel cell APUs have the potential to greatly reduce emissions and energy use and save money. In this paper, we estimate costs and benefits of fuel cell APUs. We calculate the payback period for fuel cell APUs to be about 2.6 - 4.5 years. This estimate is uncertain since future fuel cell costs are unknown and cost savings from idling vary greatly across the truck fleet. The payback period is particularly sensitive to diesel fuel consumption at idle. Given the large potential environmental and economic benefits of fuel cell APUs, the first major commercial application of fuel cells may be as truck APUs.

Suggested Citation

  • Brodrick, Christie-Joy & Lipman, Timothy & Farshchi, Mohammad & Lutsey, Nicholas P. & Dwyer, Harry A. & Sperling, Dan & Gouse, Bill & Harris, D Bruce & King, Foy G, 2002. "Evaluation of Fuel Cell Auxiliary Power Units for Heavy-Duty Diesel Trucks," University of California Transportation Center, Working Papers qt3dn7n50v, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt3dn7n50v
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    Cited by:

    1. Kinnon, Michael Mac & Razeghi, Ghazal & Samuelsen, Scott, 2021. "The role of fuel cells in port microgrids to support sustainable goods movement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    2. Chen, Gang & Govindan, Kannan & Golias, Mihalis M., 2013. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 3-22.
    3. Pregelj, Boštjan & Micor, Michał & Dolanc, Gregor & Petrovčič, Janko & Jovan, Vladimir, 2016. "Impact of fuel cell and battery size to overall system performance – A diesel fuel-cell APU case study," Applied Energy, Elsevier, vol. 182(C), pages 365-375.
    4. Tzeng, Gwo-Hshiung & Lin, Cheng-Wei & Opricovic, Serafim, 2005. "Multi-criteria analysis of alternative-fuel buses for public transportation," Energy Policy, Elsevier, vol. 33(11), pages 1373-1383, July.
    5. Lutsey, Nicholas & Brodrick, Christie-Joy & Lipman, Timothy, 2007. "Analysis of potential fuel consumption and emissions reductions from fuel cell auxiliary power units (APUs) in long-haul trucks," Energy, Elsevier, vol. 32(12), pages 2428-2438.
    6. Hua, Jian & Wu, Yi-Hsuan & Jin, Pang-Fu, 2008. "Prospects for renewable energy for seaborne transportation—Taiwan example," Renewable Energy, Elsevier, vol. 33(5), pages 1056-1063.
    7. Garg, Akhil & Vijayaraghavan, Venkatesh & Zhang, Jian & Lam, Jasmine Siu Lee, 2017. "Robust model design for evaluation of power characteristics of the cleaner energy system," Renewable Energy, Elsevier, vol. 112(C), pages 302-313.
    8. Lutsey, Nicholas, 2003. "Fuel Cells for Auxiliary Power in Trucks: Requirements, Benefits and Marketability," Institute of Transportation Studies, Working Paper Series qt1b1323fs, Institute of Transportation Studies, UC Davis.
    9. Pregelj, Boštjan & Vrečko, Darko & Petrovčič, Janko & Jovan, Vladimir & Dolanc, Gregor, 2015. "A model-based approach to battery selection for truck onboard fuel cell-based APU in an anti-idling application," Applied Energy, Elsevier, vol. 137(C), pages 64-76.
    10. Bowei Xu & Xiaoyan Liu & Yongsheng Yang & Junjun Li & Octavian Postolache, 2021. "Optimization for a Multi-Constraint Truck Appointment System Considering Morning and Evening Peak Congestion," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
    11. Sharaf, Omar Z. & Orhan, Mehmet F., 2014. "An overview of fuel cell technology: Fundamentals and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 810-853.
    12. Mohammad Torkjazi & Nathan Huynh & Ali Asadabadi, 2022. "Modeling the Truck Appointment System as a Multi-Player Game," Logistics, MDPI, vol. 6(3), pages 1-25, July.
    13. Lipman, Timothy & Shaheen, Susan, 2005. "Integrated Hydrogen and Intelligent Transportation Systems Evaluation for the California Department of Transportation," Institute of Transportation Studies, Working Paper Series qt63d0t5wb, Institute of Transportation Studies, UC Davis.
    14. Koç, Çağrı & Bektaş, Tolga & Jabali, Ola & Laporte, Gilbert, 2016. "A comparison of three idling options in long-haul truck scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 631-647.
    15. Ercolino, Giuliana & Ashraf, Muhammad A. & Specchia, Vito & Specchia, Stefania, 2015. "Performance evaluation and comparison of fuel processors integrated with PEM fuel cell based on steam or autothermal reforming and on CO preferential oxidation or selective methanation," Applied Energy, Elsevier, vol. 143(C), pages 138-153.
    16. Ngoc Anh Dung Do & Izabela Ewa Nielsen & Gang Chen & Peter Nielsen, 2016. "A simulation-based genetic algorithm approach for reducing emissions from import container pick-up operation at container terminal," Annals of Operations Research, Springer, vol. 242(2), pages 285-301, July.
    17. Figliozzi, Miguel & Saenz, Jesus & Faulin, Javier, 2020. "Minimization of urban freight distribution lifecycle CO2e emissions: Results from an optimization model and a real-world case study," Transport Policy, Elsevier, vol. 86(C), pages 60-68.
    18. Nawei Liu & Fei Xie & Zhenhong Lin & Mingzhou Jin, 2020. "Evaluating national hydrogen refueling infrastructure requirement and economic competitiveness of fuel cell electric long-haul trucks," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(3), pages 477-493, March.

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