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CEAS Aeronautical Journal

, Volume 11, Issue 1, pp 13–31 | Cite as

Longer-term aircraft fleet modelling: narrative review of tools and measures for mitigating carbon emissions from aircraft fleet

  • O. OguntonaEmail author
Review Paper

Abstract

Aviation industry stakeholders such as International Air Transport Association (IATA) agreed on ambitious goals and a basket of measures for mitigating aircraft emissions. Determining the emissions mitigation potentials (EMPs) of these measures requires the use of a set of assumptions or longer-term forecasts in an integrated modelling environment. However, the results of longer-term forecasts are only as reliable as the reliability and consistencies of their assumptions and methods with industry trends, as well as their compatibility with other dominating external developments. In this article, nine approaches to modelling aircraft fleet development were reviewed. Each of the first eight approaches used a unique fleet development model, while the last approach combines two additional models with one of the eight models. Therefore, ten global and regional longer-term aircraft fleet development models were reviewed and compared. The review focus was on their individual methods used for aircraft addition to and disposal from the fleet. Where available, the EMPs of individual measures were compared in order to create an overview of the EMPs of the measures. Furthermore, methods used for fleet development modelling in the studies were compared with the airline industry trends and practices for fleet planning in order to identify opportunities for research. This study is useful to policy-makers in knowing the expected emissions mitigation benefit of proposed environmental policies related to the IATA basket of measures. Aviation stakeholders like aircraft manufacturers and airlines would also have an overview of expected emissions savings of individual and combined measures. Lastly, researchers can also understand state-of-the-art modelling methods and scenario assumptions for the purpose of duplication studies, as well as identify unexplored areas for research.

Keywords

Aircraft fleet Fleet development Emissions mitigation Mitigation measures Models Scenarios 

Notes

Acknowledgements

The author would like to appreciate Lynette Dray and Kay Ploetner for useful discussions during the development of this paper. The core part of this review was done at Bauhaus Luftfahrt e.V. in Taufkirchen, Germany, using funds from the Munich Aerospace Scholarship programme.

References

  1. 1.
    IPCC: Aviation and the Global Atmosphere: a Special Report of IPCC Working Groups I and III in Collaboration with the Scientific Assessment Panel to the Montreal Protocol on Substances that Deplete the Ozone Layer. Cambridge University Press, Cambridge (1999)Google Scholar
  2. 2.
    ICAO: Manual on Air Traffic Forecasting. International Civil Aviation Organisation, Montreal (2006)Google Scholar
  3. 3.
    Green Aviation, in: R. Agarwal, F. Collier, A. Schäfer, A. Seabridge, R. Blockley, W. Shyy (Eds.), Green Aviation, John Wiley & Sons, Chichester, West Sussex, United Kingdom, Hoboken, NJ, 2016Google Scholar
  4. 4.
    Dray, L., Evans, A.D.: Integrated Assessment modelling. In: Agarwal, R., Collier, F., Schäfer, A., Seabridge, A., Blockley, R., Shyy, W. (eds.) Green Aviation, pp. 343–354. Wiley, Chichester (2016)Google Scholar
  5. 5.
    IATA.: IATA Technology Roadmap (2013). www.iata.org/whatwedo/environment/Documents/technology-roadmap-2013.pdf23.04.2015. Accessed 23 April 2015
  6. 6.
    Air Transportation Action Group.: The right flightpath to reduce aviation emissions (2010). www.atag.org/component/attachments/attachments.html?id=7204/09/2016. Accessed 4 Sep 2016
  7. 7.
    IATA, A global approach to reducing aviation emissions: First stop: carbon-neutral growth from 2020 (2009). www.iata.org/whatwedo/environment/Documents/global-approach-reducing-emissions.pdf23/08/2017. [August 23, 2017]
  8. 8.
  9. 9.
    Airbus, Global Market Forecast.: Growing Horizons 2017/2036 (2017). 01.01.2018. [January 01, 2018]Google Scholar
  10. 10.
    Boeing Commercial Airplanes.: Current Market Outlook: 2017-2036 (2017). 03.03.2018. [March 03, 2018]Google Scholar
  11. 11.
    Clark, P.: Buying the big jets: Fleet planning for airlines/Paul Clark. Routledge, London (2017)CrossRefGoogle Scholar
  12. 12.
    Forsberg, D.: Aircraft retirement and storage trends: Economic life analysis reprised and expanded. Avolon Holdings Limited, Dublin (2015)Google Scholar
  13. 13.
    van Bodegraven, G.W.: Commercial aircraft DOC methods. In: AIAA Conference Proceedings, Dayton, 1990Google Scholar
  14. 14.
    Di Jin, H.L.: Kite-Powell, Optimal fleet utilization and replacement. Transp. Res. Part E 36, 3–20 (2000)CrossRefGoogle Scholar
  15. 15.
    Federal Aviation Administration DOT.: Aging Airplane Program: Widespread Fatigue Damage; Final Rule (2010). www.faa.gov/aircraft/air_cert/design_approvals/transport/aging_aircraft/media/WFDFinalRule.pdf05.07.2018. Accessed 5 July 2018
  16. 16.
    Rosskopf, M., Lehner, S., Gollnick, V.: Economic–environmental trade-offs in long-term airline fleet planning. J. Air Transp. Manag. 34, 109–115 (2014)CrossRefGoogle Scholar
  17. 17.
    Müller, C., Kieckhäfer, K., Spengler, T.S.: The influence of emission thresholds and retrofit options on airline fleet planning. Energy Policy 112, 242–257 (2018)CrossRefGoogle Scholar
  18. 18.
    P. Morrell, L. Dray, Environmental aspects of fleet turnover, retirement and life cycle. Final Report (2009). www.bullfinch.arct.cam.ac.uk/documents/FleetTurnover_CranfieldCambridge.pdf21/10/2016. Accessed 21 Oct 2016
  19. 19.
    L.M. Dray, A. Evans, A. Schäfer, The Impact of Economic Emissions Mitigation Measures on Global Aircraft Emissions (2010). www.aimproject.aero/Documents/ATIO2010Dray.pdf15.08.2016. Accessed 15 Aug 2016
  20. 20.
    Dray, L., Krammer, P., Doyme, K., Wang, B., Kinan, A.Z., Aidan, O.’S., Schäfer, A.: AIM2015: validation and initial results from an open-source aviation systems model. In: ATRS World Conference, 2017Google Scholar
  21. 21.
    Dray, L.M., Schäfer, A.W., Zayat, K.A.: The global potential for CO2 emissions reduction from jet engine passenger aircraft. Transp. Res. Rec. 43, 036119811878736 (2018)Google Scholar
  22. 22.
    Owen, B., Lee, D.S., Lim, L.: Flying into the future. Environ. Sci. Technol. 44, 2255–2260 (2010)CrossRefGoogle Scholar
  23. 23.
    Owen, B., Lim, L.: Aviation emissions inventories for global assessment (2015). www.forum-ae.eu/system/files/09_lim_aviation_emissions_inventories_for_global_assessment.pdf07.09.2017. Accessed 7 Sep 2017
  24. 24.
    Hassan, M., Payan, A., Pfaender, H., Garcia, E., Schutte, J., Mavris, D.: Framework development for performance evaluation of the future national airspace system. In: 15th AIAA Aviation Technology, Integration, and Operations Conference, 2015, p. 3187Google Scholar
  25. 25.
    Dimitri, M., Tai, J.C., Perullo, C.: Environmental design space assessment of continuous lower energy emissions and noise (CLEEN) Technologies: PARTNER Project 36 Final Report (2016). www.partner.mit.edu/sites/partner.mit.edu/files/PARTNER-Project-36-final-report.pdf05/09/2017. Accessed 5 Sep 2017
  26. 26.
    Hassan, M., Pfaender, H., Mavris, D.: Feasibility analysis of aviation CO2 emission goals under uncertainty.In: AIAA Aviation Technology, Integration, and Operations Conference (2017)Google Scholar
  27. 27.
    Nolte, P., Apffelstaedt, A., Gollnick, V.: Quantitative assessment of technology impact on aviation fuel efficiency. In: Curran, R. (ed.) Air Transport and Operations, pp. 514–531. IOS Press, Amsterdam (2012)Google Scholar
  28. 28.
    Schilling, T.: AIRCAT assessment of the impact of radical climate-friendly aviation technologies. DLR Lufttransportsysteme, Hamburg (2016)Google Scholar
  29. 29.
    Ogunsina, K., Chao, H., Kolencherry, N., Moolchandani, K., Crossley, W.A., DeLaurentis, D.A.: A Model of aircraft retirement and acquisition decisions based on net present value calculations. In: AIAA AVIATION Forum, 2017Google Scholar
  30. 30.
    Moolchandani, K., Govindaraju, P., Roy, S., Crossley, W.A.: Assessing effects of aircraft and fuel technology advancements on select aviation environmental impacts. J. Aircr. 54, 857–869 (2017)CrossRefGoogle Scholar
  31. 31.
    EASA.: Study on AViation and Economic modelling (2010). easa.europa.eu/system/files/dfu/2010-SAVE-Study%20on%20AViation%20and%20Economic%20Modelling-Final%20Report.pdf10.03.2015. [March 10, 2015]Google Scholar
  32. 32.
    Watt, A.: Contributing to a Sustainable ATM System for Europe: Helping Stakeholders to Measure, Monitor and Mitigate Aviation’s Impact on the Environment (2016). www.eurocontrol.int/sites/default/files/events/presentation/helping-stakeholders-to-measure-andrew-watt-sustainable-atm-systems-workshop-08032016.pdf01.06.2019. Accessed 1 June 2019
  33. 33.
    ICAO.: Aviation Environmental Portfolio Management Tool for Economics (APMT-ECONOMICS) and its Application in the CAEP/8 NOx Stringency Analysis (2010). web.mit.edu/aeroastro/partner/reports/caep8/caep8-economics.pdf12.03.2015. . Accessed 12 Mar 2015Google Scholar
  34. 34.
    Winchester, N., Wollersheim, C., Clewlow, R., Jost, N.C., Paltsev, S., Reilly, J.M., Waitz, I.A.: The impact of climate policy on US aviation. J. Trans. Econ. Policy 47, 1–15 (2013)Google Scholar
  35. 35.
    Paltsev, S., Reilly, J.M., Jacoby, H.D., Eckaus, R.S., McFarland, J., Sarofim, M., Asadoorian, M., et al.: The MIT emissions prediction and policy analysis (EPPA) Model: Version 4, in: Joint Program Report Series, 2005Google Scholar
  36. 36.
    Randt, N.P.: Foundations of a technology assessment technique using a scenario-based fleet system Dynamics Model. In: AIAA 2013 AviationGoogle Scholar
  37. 37.
    Randt, N.P.: Aircraft technology assessment using fleet-level metrics. PhD Dissertation, Garching, 2016Google Scholar
  38. 38.
    Randt, N.P., Jessberger, C., Ploetner, K.O.: Estimating the fuel saving potential of commercial aircraft in future fleet-development scenarios. In: 15th AIAA Aviation Technology, Integration, and Operations Conference, 2015Google Scholar
  39. 39.
    ICAO.: ICAO Environmental Report 2016 (2016). www.icao.int/environmental-protection/Documents/ICAO%20Environmental%20Report%202016.pdf03.11.2016. Accessed 6 Nov 2016
  40. 40.
    Koopmann, J., Barberio, G., Ahearn, M., Hwang, S.: Aviation environmental design tool (AEDT2a) User Guide (2012)Google Scholar
  41. 41.
    Thrasher, T., Nguyen, A., Hall, C., Fleming, G., Roof, C., Balasubramanian, S., Grandi, F. et al.: AEDT global NOx demonstration. In: FAA/EUROCONTROL (Ed.), Proceedings of the USA/FAA Air Traffic Management R&D Seminar, Barcelona, 2007Google Scholar
  42. 42.
    Cavadini, L., Lépinay, I.D.: Assessing trends in aviation noise and emissions in Europe using advanced modelling capabilities, in: Blakey, S., Matthes, S., Brok, P., Grewe, V., Christie, S. (eds.), 2nd ECATS Conference Proceedings: Making Aviation Environmentally Sustainable, Athens, 2016, pp. 62–66Google Scholar
  43. 43.
    Gibson, W., Morrell, P.: Theory and practice in aircraft financial evaluation. J. Air Transp. Manag. 10, 427–433 (2004)CrossRefGoogle Scholar
  44. 44.
    Franke, M.: Competition between network carriers and low-cost carriers—retreat battle or breakthrough to a new level of efficiency? J. Air Transp. Manag. 10, 15–21 (2004)CrossRefGoogle Scholar
  45. 45.
    Le Feuvre, P.: Transport biofuels: Tracking Clean Energy Progress (2019). www.iea.org/tcep/transport/biofuels/14.09.2019. Accessed 14 Sept 2019

Copyright information

© Deutsches Zentrum für Luft- und Raumfahrt e.V. 2019

Authors and Affiliations

  1. 1.Technische Universität MünchenMunichGermany

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