IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v245y2022ics036054422200233x.html
   My bibliography  Save this article

Multi-objective optimization of the aircraft environment control system based on component-level parameter decomposition

Author

Listed:
  • Duan, Zhongdi
  • Sun, Haoran
  • Wu, Chengyun
  • Hu, Haitao

Abstract

The aircraft environmental control system (ECS) provides stable and comfortable conditions for passengers, and it is also the largest energy consumer among aircraft non-propulsive subsystems. For designing energy-efficient ECSs, this paper presents an integrated model of predicting and optimizing ECS performance at the component level. A parameter decomposition model of the ECS is first developed to predict the component-level parameters, and a tailor-made algorithm with three iteration loops is then proposed to decouple and solve the model. The model is further verified by the test data of a practical flight, showing good correlations between the predictions and the test data. Based on the model, a multi-objective optimization model is proposed to minimize the entropy generation rate (Ns) and the number of transfer unit (NTU) of the ECS, and a decomposition-based solution method is presented for searching the Pareto front solutions. The results of the application case indicate that the present model can offer optimal trade-off solutions by simultaneously considering ECS thermodynamic performance and system compactness, and sufficiently acquire performance parameters at the system and component levels for ECS design. Moreover, the proposed approach could help aircraft manufacturers determine component performance indicators and offer requirements to the component suppliers.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:245:y:2022:i:c:s036054422200233x
    DOI: 10.1016/j.energy.2022.123330
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054422200233X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.123330?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Li, Haowen & Yang, Huachao & Yan, Jianhua & Cen, Kefa & Ostrikov, Kostya (Ken) & Bo, Zheng, 2022. "Energy and entropy generation analysis in a supercapacitor for different operating conditions," Energy, Elsevier, vol. 260(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. 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).
    3. 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.
    4. Nunes, T.K. & Vargas, J.V.C. & Ordonez, J.C. & Shah, D. & Martinho, L.C.S., 2015. "Modeling, simulation and optimization of a vapor compression refrigeration system dynamic and steady state response," Applied Energy, Elsevier, vol. 158(C), pages 540-555.
    5. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Qiu, Ziyang & Yuan, Yuxing & He, Jianfei & Li, Yingnan & Wang, Yisong & Du, Tao, 2021. "A comprehensive assessment on material, exergy and emission networks for the integrated iron and steel industry," Energy, Elsevier, vol. 235(C).
    6. Kaluri, Ram Satish & Basak, Tanmay, 2011. "Entropy generation due to natural convection in discretely heated porous square cavities," Energy, Elsevier, vol. 36(8), pages 5065-5080.
    7. Zhao, Liang & Zhang, Jiulei & Wang, Xiu & Feng, Junsheng & Dong, Hui & Kong, Xiangwei, 2020. "Dynamic exergy analysis of a novel LNG cold energy utilization system combined with cold, heat and power," Energy, Elsevier, vol. 212(C).
    8. 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.
    9. Yang, Yu & Chen, Shuangtao & Sheng, Chunchen & Xie, Hongtao & Luo, Gaoqiao & Hou, Yu, 2021. "Study on coupling performance of turbo-cooler in aircraft environmental control system," Energy, Elsevier, vol. 224(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:245:y:2022:i:c:s036054422200233x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.