IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i21p6110-d282939.html
   My bibliography  Save this article

Assessment Method of Fuel Consumption and Emissions of Aircraft during Taxiing on Airport Surface under Given Meteorological Conditions

Author

Listed:
  • Ming Zhang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Qianwen Huang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Sihan Liu

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Huiying Li

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

Abstract

Reducing fuel consumption and emissions of aircrafts during taxiing on airport surfaces is crucial to decrease the operating costs of airline companies and construct green airports. At present, relevant studies have barely investigated the influences of the operation environment, such as low visibility and traffic conflict in airports, reducing the assessment accuracy of fuel consumption and emissions. Multiple aircraft ground propulsion systems on airport surfaces, especially the electric green taxiing system, have attracted wide attention in the industry. Assessing differences in fuel consumption and emissions under different taxiing modes is difficult because environmental factors were hardly considered in previous assessments. Therefore, an innovative study was conducted based on practical running data of quick access recorders and climate data: (1) Low visibility and taxiing conflict on airport surfaces were inputted into the calculation model of fuel consumption to set up a modified model of fuel consumption and emissions. (2) Fuel consumption and emissions models under full- and single-engine taxiing, external aircraft ground propulsion systems, and electric green taxiing system could accurately estimate fuel consumption and emissions under different taxiing modes based on the modified model. (3) Differences in fuel consumption and emissions of various aircraft types under four taxiing modes under stop-and-go and unimpeded aircraft taxiing conditions were obtained through a sensitivity analysis in Shanghai Pudong International Airport under three thrust levels. Research conclusions provide support to the airport management department in terms of decision making on taxiway optimization.

Suggested Citation

  • Ming Zhang & Qianwen Huang & Sihan Liu & Huiying Li, 2019. "Assessment Method of Fuel Consumption and Emissions of Aircraft during Taxiing on Airport Surface under Given Meteorological Conditions," Sustainability, MDPI, vol. 11(21), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:6110-:d:282939
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/21/6110/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/21/6110/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Angel Marín & Esteve Codina, 2008. "Network design: taxi planning," Annals of Operations Research, Springer, vol. 157(1), pages 135-151, January.
    2. Nan Li & Yu Sun & Jian Yu & Jian-Cheng Li & Hong-fei Zhang & Sangbing Tsai, 2019. "An Empirical Study on Low Emission Taxiing Path Optimization of Aircrafts on Airport Surfaces from the Perspective of Reducing Carbon Emissions," Energies, MDPI, vol. 12(9), pages 1-19, April.
    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. Jerzy MERKISZ & Remigiusz JASIŃSKI & Anna ŁĘGOWIK & Aleksander OLEJNIK, 2021. "Exhaust Emissions Of Jet Engines Powered By Biofuel," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(4), pages 199-206, December.

    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. Yang, Lei & Yin, Suwan & Han, Ke & Haddad, Jack & Hu, Minghua, 2017. "Fundamental diagrams of airport surface traffic: Models and applications," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 29-51.
    2. Guépet, J. & Briant, O. & Gayon, J.P. & Acuna-Agost, R., 2016. "The aircraft ground routing problem: Analysis of industry punctuality indicators in a sustainable perspective," European Journal of Operational Research, Elsevier, vol. 248(3), pages 827-839.
    3. Jiang, Yu & Xue, Qingwen & Wang, Yasha & Cai, Mengting & Zhang, Honghai & Li, Yahui, 2021. "Traffic congestion mechanism in mega-airport surface," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
    4. Jeffery L. Kennington & Charles D. Nicholson, 2010. "The Uncapacitated Time-Space Fixed-Charge Network Flow Problem: An Empirical Investigation of Procedures for Arc Capacity Assignment," INFORMS Journal on Computing, INFORMS, vol. 22(2), pages 326-337, May.
    5. Weiszer, Michal & Chen, Jun & Locatelli, Giorgio, 2015. "An integrated optimisation approach to airport ground operations to foster sustainability in the aviation sector," Applied Energy, Elsevier, vol. 157(C), pages 567-582.
    6. Jose L. Andrade-Pineda & Pedro L. Gonzalez-R & Jose M. Framinan, 2013. "A Decision-Making Tool for a Regional Network of Clinical Laboratories," Interfaces, INFORMS, vol. 43(4), pages 360-372, August.
    7. Yin, Suwan & Han, Ke & Ochieng, Washington Yotto & Sanchez, Daniel Regueiro, 2022. "Joint apron-runway assignment for airport surface operations," Transportation Research Part B: Methodological, Elsevier, vol. 156(C), pages 76-100.
    8. Wen-Hsien Tsai, 2020. "Carbon Emission Reduction—Carbon Tax, Carbon Trading, and Carbon Offset," Energies, MDPI, vol. 13(22), pages 1-7, November.
    9. Senay Solak & Gustaf Solveling & John-Paul B. Clarke & Ellis L. Johnson, 2018. "Stochastic Runway Scheduling," Transportation Science, INFORMS, vol. 52(4), pages 917-940, August.
    10. Jianan Yin & Minghua Hu & Yuanyuan Ma & Ke Han & Dan Chen, 2019. "Airport Taxi Situation Awareness with a Macroscopic Distribution Network Analysis," Networks and Spatial Economics, Springer, vol. 19(3), pages 669-695, September.

    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:jsusta:v:11:y:2019:i:21:p:6110-:d:282939. 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.