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Aircraft Fleet Planning: An Optimization Model with Integrated $$\text {CO}_{2}$$ Trading Systems

In: Operations Research Proceedings 2022

Author

Listed:
  • Lisa-Marie Manke

    (Technische Universität Braunschweig
    Technische Universität Braunschweig)

  • Imke Joormann

    (Technische Universität Braunschweig
    Technische Universität Braunschweig)

Abstract

The pressure on airlines to reduce their emitted $$\text {CO}_{2}$$ emissions is continuously increasing. Due to new fuel-efficient air frame and engine technologies, aircraft modernization offers an opportunity to reduce annual emissions. But with limited production capacities of the manufacturers and related costs, it is not possible to renew a whole fleet at once. At the same time, $$\text {CO}_{2}$$ trading systems lead to higher costs for older fleets. Therefore, there needs to be long term planning regarding the fleet composition of an airline. For this, the fleet planning problem determines economically optimal replacement times for aircraft. The fleet planning problem can be formulated as a MILP and combines fleet composition and fleet assignment. The fleet composition problem considers different aircraft types as well as retrofits; here, retrofits are modifications of aircraft to lower the amount of emitted emissions without replacing the whole aircraft. These aircraft are then used within the fleet assignment problem to fulfill a given demand of flights. The emissions are then considered within $$\text {CO}_{2}$$ trading systems as that is currently the only affecting restriction for airlines concerning $$\text {CO}_{2}$$ emissions.

Suggested Citation

  • Lisa-Marie Manke & Imke Joormann, 2023. "Aircraft Fleet Planning: An Optimization Model with Integrated $$\text {CO}_{2}$$ Trading Systems," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 155-161, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-24907-5_19
    DOI: 10.1007/978-3-031-24907-5_19
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