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Power optimization of the environmental control system for the civil more electric aircraft

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  • Yang, Yuanchao
  • Gao, Zichen

Abstract

As the civil aviation industry moves toward to the more-electric-aircraft (MEA) concept, environmental control system (ECS), one of the largest power consumption non-propulsive systems for civil aircraft, converts its power extraction source from bleed air to electric power and thus will introduce new challenges on ECS's design and operation management schemes. One of these challenges is for the power optimization of ECS, which was an optimal sizing and planning problem for ECS air circulation pack, but under the MEA environment will be transformed into a complex power scheduling problem integrated with the constraints on the controllable electrical power generation and varying thermal power demands determined by the aircraft's flight profiles. In this paper, we propose a complete mathematical optimization formulation for the power optimization of ECS for MEA and cast it as a non-convex nonlinear program. We provide a solution approach to tackle this problem based on a combination of Benders decomposition method and the successively linear programming technique and illustrate the capabilities of the proposed solution approach on an aircraft's ECS under the civil MEA environment. The numerical results demonstrate the effectiveness of the proposed solution approach in terms of the associated computational outcomes.

Suggested Citation

  • Yang, Yuanchao & Gao, Zichen, 2019. "Power optimization of the environmental control system for the civil more electric aircraft," Energy, Elsevier, vol. 172(C), pages 196-206.
    • Handle: RePEc:eee:energy:v:172:y:2019:i:c:p:196-206
    DOI: 10.1016/j.energy.2019.01.115
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    References listed on IDEAS

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    1. Ordonez, Juan Carlos & Bejan, Adrian, 2003. "Minimum power requirement for environmental control of aircraft," Energy, Elsevier, vol. 28(12), pages 1183-1202.
    2. Bender, Daniel, 2017. "Integration of exergy analysis into model-based design and evaluation of aircraft environmental control systems," Energy, Elsevier, vol. 137(C), pages 739-751.
    3. Edwards, Holly A. & Dixon-Hardy, Darron & Wadud, Zia, 2016. "Aircraft cost index and the future of carbon emissions from air travel," Applied Energy, Elsevier, vol. 164(C), pages 553-562.
    4. Baharozu, Eren & Soykan, Gurkan & Ozerdem, M. Baris, 2017. "Future aircraft concept in terms of energy efficiency and environmental factors," Energy, Elsevier, vol. 140(P2), pages 1368-1377.
    5. Yang, Yuanchao & Wang, Jianhui & Guan, Xiaohong & Zhai, Qiaozhu, 2012. "Subhourly unit commitment with feasible energy delivery constraints," Applied Energy, Elsevier, vol. 96(C), pages 245-252.
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    Cited by:

    1. Sun, Haoran & Duan, Zhongdi & Wang, Xuyang & Wang, Dawei & Wu, Chengyun, 2023. "A pressure-node based dynamic model for simulation and control of aircraft air-conditioning systems," Energy, Elsevier, vol. 263(PD).
    2. Duan, Zhongdi & Sun, Haoran & Wu, Chengyun & Hu, Haitao, 2022. "Multi-objective optimization of the aircraft environment control system based on component-level parameter decomposition," Energy, Elsevier, vol. 245(C).
    3. Duan, Zhongdi & Sun, Haoran & Wu, Chengyun & Hu, Haitao, 2022. "Flow-network based dynamic modelling and simulation of the temperature control system for commercial aircraft with multiple temperature zones," Energy, Elsevier, vol. 238(PB).
    4. Tao Lei & Zhihao Min & Qinxiang Gao & Lina Song & Xingyu Zhang & Xiaobin Zhang, 2022. "The Architecture Optimization and Energy Management Technology of Aircraft Power Systems: A Review and Future Trends," Energies, MDPI, vol. 15(11), pages 1-37, June.

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