Latest revision as of 01:03, 29 January 2021

Abstract

The impact of aircraft emissions and contrails on the environment adds an additional aspect to aircraft trajectory optimization. This study developed a three-dimensional trajectory optimization algorithm for trans-Atlantic flights in cruise to generate aircraft trajectories that minimize environmental impacts due to CO 2 emissions and contrails in the presence of winds. The climate-optimal trajectory is developed using dynamic programming that adjusts a wind-optimal aircraft heading while determining the optimal locations, altitudes and times for en-route step climbs. Flying wind-optimal routes minimize aircraft travel time, fuel burn and associated emissions during cruise while adjusting aircraft heading and en-route step climbs at the optimal locations and times minimize climate impact of contrails. This capability integrates an air traffic management simulation with aircraft fuel burn and emissions models, contrail formation and dispersion models, simplified climate response models, and a common climate metric. A study was conducted to evaluate the potential cost and benefits of flying climate-optimal routes in North Atlantic Airspace and their impacts to the Organized Track System design based on the trans-Atlantic air traffic during a day, July 12, 2012. Results show eastbound flights achieved a larger environmental benefit with less additional fuel burn than westbound flights that operated in strong headwinds that caused more additional fuel burn and aircraft emissions to avoid traversing contrails favorable regions.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.2514/6.2014-2289

• http://pdfs.semanticscholar.org/de8b/97c51bcce0102f680fc774248bd88b9fa612.pdf

• http://arc.aiaa.org/doi/pdf/10.2514/6.2014-2289,

http://dx.doi.org/10.2514/6.2014-2289

• https://www.aviationsystemsdivision.arc.nasa.gov/publications/2014/AIAA-2014-2289.pdf,

https://www.aviationsystems.arc.nasa.gov/publications/2014/AIAA-2014-2289.pdf,

https://ntrs.nasa.gov/search.jsp?R=20180004215,

https://arc.aiaa.org/doi/10.2514/6.2014-2289,

https://academic.microsoft.com/#/detail/2313784306