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A Case Study of Aircraft Taxi Fuel Consumption Prediction Model (A380 Case)

항공기 지상 활주 연료소모량 예측모델 사례연구 (A380 중심)

  • 장성우 (한국항공대학교 항공교통학) ;
  • 이영재 (건국대학교 항공우주공학) ;
  • 유광의 (한국항공대학교 항공교통물류학부)
  • Received : 2020.05.06
  • Accepted : 2020.06.15
  • Published : 2020.06.30

Abstract

In this paper, we established a prediction model of fuel consumption at the aircraft's taxi operation. To look for countermeasures to reduce fuel consumption and carbon emissions, Airbus A380's actual ground taxi data was used. As a result, the number of stops or turnings during the taxi operation was not related to fuel consumption. It was confirmed that the amount of fuel consumption in the taxi operation was the taxi time and the thrust change. It can be confirmed that ground control optimization, which is the result of close cooperation between the control organization and the airline, is absolutely necessary to reduce taxi time and minimize the occurrence of thrust change events.

Keywords

References

  1. Airbus Company, A380 Flight Crew Operating Manual, Taxi Fuel (PER-IFT-FPL-MRF/10 Aug. 13).
  2. Airbus Company, A380 Airplane Flight Manual.
  3. Airbus Company, Getting to Grips with Fuel Economy, 2004.
  4. Ben Daley, Air Transport and the Environment, Ashgate, 2010.
  5. Boeing, Training Materials regarding Fuel Conservation, 2014.
  6. Collins, B., "Estimation of aircraft fuel consumption", Journal of Aircraft, 19.
  7. Harshad, K., "Estimation of Aircraft Taxi-out Fuel Burn using Flight Data Recorder Archives", 2011.
  8. IATA, Fuel Efficiency Program Implementation Guidance Material, 2011.
  9. IATA, Tom Fodor, Collaboration for Improved Flight Efficiency, 2015.
  10. International Civil Aviation Organization, International Standards and Recommended Practices, Annex 16, Environmental Protection: Aircraft Engine Emissions.
  11. Jung, Y., "Fuel consumption and emissions from airport taxi operations", NASA Green Aviation Summit, 2010.
  12. Yoo, K. E., and Kang, Y. J., "Aviation Environment and Climate Change", 2015.
  13. Patterson, J., Noel, G., Senzig, D., Roof, C., and Fleming, G., "Analysis of departure and arrival proles using real-time aircraft data", Journal of Aircraft, 46(4), 2009.
  14. Simaiakis, I., and Balakrishnan, H., "Queuing models of airport departure processes for emissions reduction", AIAA Guidance, Navigation and Control Conference and Exhibit, 2009.
  15. Jang, S., and Yoo, K. E., "New Fuel Efficiency Model Setup & Airline's Method to Enhance Fuel Efficiency", 2019.
  16. Wells, A., and Youn, S., Airport Planning & Management, 5th ed. McGraw-Hill, 2004.
  17. http://blog.naver.com/fltops/220904540814
  18. http://blog.naver.com/fltops/220906724426
  19. https://blog.naver.com/fltops/221706339036
  20. https://www.iai.co.il/p/taxibotyy