The Impact of Fuel Price on Airline Fuel Efficiency and Operations

McConnachie, Dominic; Wollersheim, Christoph; Hansman, R. John

doi:10.2514/6.2013-4291

Cited by 20 publications

(12 citation statements)

References 5 publications

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“…If HEA would be available in the next years and draw electricity with the OECD mix, political instruments to reduce pollution could favor the business case of electric propulsion. Mechanisms as carbon dioxide taxes or certificates are discussed by politicians and researchers [62]. Thus, the magnitude of certificate prices that are considered is at least 20-30 EUR per tCO 2 .…”

Section: Environmental Impact and Sensitivity Studiesmentioning

confidence: 99%

Conceptual Design of Operation Strategies for Hybrid Electric Aircraft

et al. 2018

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Ambitious targets to reduce emissions caused by aviation in the light of an expected ongoing rise of the air transport demand in the future drive the research of propulsion systems with lower CO 2 emissions. Regional hybrid electric aircraft (HEA) powered by conventional gas turbines and battery powered electric motors are investigated to test hybrid propulsion operation strategies. Especially the role of the battery within environmentally friendly concepts with significantly reduced carbon footprint is analyzed. Thus, a new simulation approach for HEA is introduced. The main findings underline the importance of choosing the right power-to-energy-ratio of a battery according to the flight mission. The gravimetric energy and power density of the electric storages determine the technologically feasibility of hybrid concepts. Cost competitive HEA configurations are found, but do not promise the targeted CO 2 emission savings, when the well-to-wheel system is regarded with its actual costs. Sensitivity studies are used to determine external levers that favor the profitability of HEA.

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Section: Environmental Impact and Sensitivity Studiesmentioning

confidence: 99%

Conceptual Design of Operation Strategies for Hybrid Electric Aircraft

et al. 2018

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“…The ant decision is influenced only by the pheromone concentration coefficient P that is computed with Eq. (6). The ant selects the path to follow using the highest coefficient P .…”

Section: Figure 3 Search Space For the Ant Colonymentioning

confidence: 99%

“…Another advantage is that by diminishing the fuel requirements, the flight cost is reduced. Airlines have implemented different techniques to reduce fuel consumption without bringing important aircraft modifications as discussed in [6].…”

Section: Introductionmentioning

confidence: 99%

Lateral Reference Trajectory Algorithm Using Ant Colony Optimization

Murrieta-Mendoza

Hamy

Botez

2016

16th AIAA Aviation Technology, Integration, and Operations Conference

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The aeronautical industry requires important quantities of fossil fuel to sustain flights. Fuel burn releases pollution particles to the atmosphere such as carbon dioxide. The aeronautical industry has set itself the goal of diminishing CO 2 emissions for the forthcoming years. A way of reducing fuel consumption is by improving en-route operations. For long haul flights, cruise is the flight stage that requires the most fuel consumption. Taking advantage of tailwinds reduces the flight time, thus reducing the fuel requirements. In this paper, an algorithm based on the Ant Colony Optimization was developed to optimize the lateral navigation reference trajectory of a commercial aircraft. Following a constant flight level, the algorithm was able to identify favorable wind areas, and to lead the aircraft to take advantage of these winds to optimize the flight cost. The aircraft model was a numerical performance model constructed from experimental flight data, where weather information was obtained by using information from Weather Canada. Results showed important fuel savings for different long haul flights. NomenclatureCDA = Continuous Descent Approach CDG = Paris Charles De Gaulle International airport (France) CI = Cost Index LNAV = Lateral Navigation NRT = Tokyo Narita International Airport (Japan) Pherom i = Pheromone level at a given path. PDB = Performance Database P i = Waypoint Selection Probability PTP = International Airport of Point à Pitre (Guadeloupe) TOC = Top of climb TOD = Top of decent VNAV = Vertical Navigation WA = Wind Azimuth WS = Wind Speed YUL = Montreal Pierre Eliot Trudeau International Airport (Canada) γ = Pheromone evaporation rate

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“…By recognizing the impact of fuel to profits, airlines have implemented different measurements to reduce fuel consumption. As discussed in [3], these measurements consists, among others, in improving efficiency by washing dirt off, reduce the use of the auxiliary power, and the aircraft weight reduction by using lighter equipment.…”

Section: Introductionmentioning

confidence: 99%

Horizontal flight trajectory optimization considering RTA constraints

2020

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The increasing of flights around the world has led to various problems for the aeronautical industry such as saturated air space and higher levels of fossil fuel consumption. The way in which en-route flights are handled should be improved in order to increase airways’ capacity. A solution is to make aircraft to arrive at specific waypoints at a time constraint called Required Time of Arrival (RTA). Fossil fuel brings as a consequence the release of polluting particles to the atmosphere such as carbon dioxide and nitrogen oxides. It is thus desirable to compute the most economical trajectory in terms of fuel burn while fulfilling the RTA constraint. This article proposes a horizontal reference trajectory optimization algorithm based on the Particle Swarm Optimization technique in order to reduce fuel burn while fulfilling the RTA constraint. Results showed that for a flight without RTA constraint, up to 4% of fuel can be saved comparing against the trajectory of reference. The algorithm was normally able to meet the RTA constrain. However, aggressive RTA constraints might reduce the optimization levels of fuel compared with flights without RTA constraint.

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The Impact of Fuel Price on Airline Fuel Efficiency and Operations

Cited by 20 publications

References 5 publications

Conceptual Design of Operation Strategies for Hybrid Electric Aircraft

Conceptual Design of Operation Strategies for Hybrid Electric Aircraft

Lateral Reference Trajectory Algorithm Using Ant Colony Optimization

Horizontal flight trajectory optimization considering RTA constraints

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