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A pressure-node based dynamic model for simulation and control of aircraft air-conditioning systems

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  • Sun, Haoran
  • Duan, Zhongdi
  • Wang, Xuyang
  • Wang, Dawei
  • Wu, Chengyun

Abstract

The aircraft air-conditioning system, which consumes the engine bleed air to provide stable and comfort environment for passengers, has a high demand of system reliability and energy efficiency. For analyzing system performance and control effect under a wide range of operating scenarios, this paper presents a dynamic model of the aircraft air-conditioning system. A pressure-node based method is proposed to decouple the system architecture, and a modelling framework is established with reflecting the interdependencies between component-level modules. Dynamic sub-models including pressure nodes, heat exchangers and the air cycle machine are built to predict all major dynamics in the system. The model is verified by the measured data of an airborne testing. The predicted temperatures show good agreement with the measured data, of which the average deviations at the compressor outlet and system outlet are 4.60 °C and 3.49 °C, respectively. The effectivity of the proposed model is investigated under various conditions, including different control signal inputs, standard pull up/pull down conditions and an entire flight case. The simulation results indicate that the model can be successfully applied for a wide range of aircraft operating scenarios, and provide insight towards control design and fault detection of the aircraft air-conditioning system.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222027967
    DOI: 10.1016/j.energy.2022.125910
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    References listed on IDEAS

    as
    1. 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).
    2. Ordonez, Juan Carlos & Bejan, Adrian, 2003. "Minimum power requirement for environmental control of aircraft," Energy, Elsevier, vol. 28(12), pages 1183-1202.
    3. Wang, Xiaoxin & Yuan, Xiugan, 2007. "Reuse of condensed water to improve the performance of an air-cycle refrigeration system for transport applications," Applied Energy, Elsevier, vol. 84(9), pages 874-881, September.
    4. 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.
    5. 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).
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    Cited by:

    1. Qiang, Xiaoqing & Lu, Yao & Li, Jian, 2024. "Bleed air CFD modelling in aerodynamic simulation of A heavy duty gas turbine compressor," Energy, Elsevier, vol. 299(C).

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