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Fuel consumption impacts of auto roof racks

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  • Chen, Yuche
  • Meier, Alan

Abstract

The after-market roof rack is one of the most common components attached to a vehicle for carrying over-sized items, such as bicycles and skis. It is important to understand these racks’ fuel consumption impacts on both individual vehicles and the national fleet because they are widely used. We estimate the national fuel consumption impacts of roof racks using a bottom-up approach. Our model incorporates real-world data and vehicle stock information to enable assessing fuel consumption impacts for several categories of vehicles, rack configurations, and usage conditions. In addition, the model draws on two new data-gathering techniques, on-line forums and crowd-sourcing. The results show that nationwide, roof racks are responsible for 0.8‰ of light duty vehicle fuel consumption in 2015, corresponding to 100 million gallons of gasoline per year. Sensitivity analyses show that results are most sensitive to the fraction of vehicles with installed roof racks but carrying no equipment. The aerodynamic efficiency of typical roof racks can be greatly improved and reduce individual vehicle fuel consumption; however, government policies to minimize extensive driving with empty racks—if successful—could save more fuel nationally.

Suggested Citation

  • Chen, Yuche & Meier, Alan, 2016. "Fuel consumption impacts of auto roof racks," Energy Policy, Elsevier, vol. 92(C), pages 325-333.
    • Handle: RePEc:eee:enepol:v:92:y:2016:i:c:p:325-333
    DOI: 10.1016/j.enpol.2016.02.031
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    References listed on IDEAS

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    Cited by:

    1. Chen, Yuche & Zhang, Yunteng & Fan, Yueyue & Hu, Kejia & Zhao, Jianyou, 2017. "A dynamic programming approach for modeling low-carbon fuel technology adoption considering learning-by-doing effect," Applied Energy, Elsevier, vol. 185(P1), pages 825-835.
    2. Hu, Kejia & Chen, Yuche, 2016. "Technological growth of fuel efficiency in european automobile market 1975–2015," Energy Policy, Elsevier, vol. 98(C), pages 142-148.
    3. Yuche Chen & Ruixiao Sun & Xuanke Wu, 2021. "Estimating Bounds of Aerodynamic, Mass, and Auxiliary Load Impacts on Autonomous Vehicles: A Powertrain Simulation Approach," Sustainability, MDPI, vol. 13(22), pages 1-13, November.
    4. Morteza Taiebat & Austin L. Brown & Hannah R. Safford & Shen Qu & Ming Xu, 2019. "A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles," Papers 1901.10581, arXiv.org, revised Feb 2019.
    5. Liu, Feiqi & Zhao, Fuquan & Liu, Zongwei & Hao, Han, 2019. "Can autonomous vehicle reduce greenhouse gas emissions? A country-level evaluation," Energy Policy, Elsevier, vol. 132(C), pages 462-473.

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