Full Airline Network Fleet Assignment Model with Hybrid Electric Aircraft Uptake

Air transportation–and the transportation system overall–is an energy-intensive industry. Sustainable aviation technology such as hybrid-electric aircraft (HEA) seeks to reduce the energy expenditure, thereby reducing operating costs and potentially increasing access to air transport options. The successful adoption of new aircraft technology such as HEA requires ensuring that airline operations can accommodate new aircraft types in a cost- and revenue-optimal manner. In this paper, we seek to address the optimal assignment of aircraft type–including new HEA types–within a full-service airline network, consisting of both mainline and regional flights. We utilize an integer programming model to rigorously characterize this optimal assignment problem. This model allows us to explore several different HEA adoption scenarios, and eventually will enable the joint optimization of both the aircraft (e.g., through aircraft sizing and design studies) and airline operations.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/itec63604.2025.11098001
Citations
1
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
3.09
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Full Airline Network Fleet Assignment Model with Hybrid Electric Aircraft Uptake

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article

Full Airline Network Fleet Assignment Model with Hybrid Electric Aircraft Uptake

K. Kirsch, Max Z. Li, Gökçin Çınar, Anil Kumar Sharma, Haochen Wu, Armaan Kamat, B. Chan, Emma Cassidy
article en
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Abstract

Air transportation–and the transportation system overall–is an energy-intensive industry. Sustainable aviation technology such as hybrid-electric aircraft (HEA) seeks to reduce the energy expenditure, thereby reducing operating costs and potentially increasing access to air transport options. The successful adoption of new aircraft technology such as HEA requires ensuring that airline operations can accommodate new aircraft types in a cost- and revenue-optimal manner. In this paper, we seek to address the optimal assignment of aircraft type–including new HEA types–within a full-service airline network, consisting of both mainline and regional flights. We utilize an integer programming model to rigorously characterize this optimal assignment problem. This model allows us to explore several different HEA adoption scenarios, and eventually will enable the joint optimization of both the aircraft (e.g., through aircraft sizing and design studies) and airline operations.

University of Michigan (US), United Technologies Research Center (IE), University of Pennsylvania (US)
Affordable and clean energy
Openalex Percentile: Top 8%
Aviation Industry Analysis and Trends
3.09
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