IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v320y2025ics0360544225009338.html

Isomorphic modelling and solution approach for integrated aircraft engine and thermal management system

Author

Listed:
  • Wu, Dong-Yi
  • He, Ke-Lun
  • Teng, Run-Hang
  • Chen, Qun

Abstract

Within conventional design methodologies, the aircraft engine and thermal management system are handled separately, with each serving as the boundary for the other. This separation leads to excessive redundancy in the design processes of both aircraft and engine, making optimal aircraft/engine matching difficult and hindering overall performance improvement. Integrating the engine system with the thermal management system poses significant challenges due to the involvement of fluid transport and various forms of energy transport and transformation. The traditional models of these processes exhibit significant differences in their mathematical properties, resulting in high computational difficulty and poor convergence. This paper focuses on the engine and thermal management system, establishing isomorphic models of fluid transport and heat transport processes based on analogies from classical electrical theory. A unified solution approach grounded in network theory is proposed, effectively delineating the principles governing energy transport, conversion, and fluid transport within the system and clarifying the variations in system performance caused by changes in design or operational parameters. Computational results show that the proposed method achieves a deviation of less than 5 % compared to AMESim, a commercial simulation software, while being nearly two orders of magnitude faster, offering robust support for design refinement and optimization.

Suggested Citation

  • Wu, Dong-Yi & He, Ke-Lun & Teng, Run-Hang & Chen, Qun, 2025. "Isomorphic modelling and solution approach for integrated aircraft engine and thermal management system," Energy, Elsevier, vol. 320(C).
  • Handle: RePEc:eee:energy:v:320:y:2025:i:c:s0360544225009338
    DOI: 10.1016/j.energy.2025.135291
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225009338
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.135291?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Zhao, Tian & Chen, Xi & He, Ke-Lun & Chen, Qun, 2021. "A hierarchical and categorized algorithm for efficient and robust simulation of thermal systems based on the heat current method," Energy, Elsevier, vol. 215(PA).
    2. Jiang, X.S. & Jing, Z.X. & Li, Y.Z. & Wu, Q.H. & Tang, W.H., 2014. "Modelling and operation optimization of an integrated energy based direct district water-heating system," Energy, Elsevier, vol. 64(C), pages 375-388.
    3. Meibodi, Saleh S. & Rees, Simon & Loveridge, Fleur, 2024. "Modeling district heating pipelines using a hybrid dynamic thermal network approach," Energy, Elsevier, vol. 290(C).
    4. Liang, Zheng & Zhao, Tian & Ma, Huan & Chen, Qun & Wang, Shaorong, 2025. "An isomorphic multi-energy circuit analysis method for multi-stack SOFC systems considering nonlinear electrochemical reaction and gas transport," Applied Energy, Elsevier, vol. 377(PB).
    Full references (including those not matched with items on IDEAS)

    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. Xu, Rong-Hong & Zhao, Tian & Ma, Huan & He, Ke-Lun & Lv, Hong-Kun & Guo, Xu-Tao & Chen, Qun, 2023. "Operation optimization of distributed energy systems considering nonlinear characteristics of multi-energy transport and conversion processes," Energy, Elsevier, vol. 283(C).
    2. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    3. Mohammadnia, Ali & Iov, Florin & Rasmussen, Morten Karstoft & Nielsen, Mads Pagh, 2024. "Feasibility assessment of next-generation smart district heating networks by intelligent energy management strategies," Energy, Elsevier, vol. 296(C).
    4. Wang, Lixiao & Jing, Z.X. & Zheng, J.H. & Wu, Q.H. & Wei, Feng, 2018. "Decentralized optimization of coordinated electrical and thermal generations in hierarchical integrated energy systems considering competitive individuals," Energy, Elsevier, vol. 158(C), pages 607-622.
    5. Huang, Jinbo & Li, Zhigang & Wu, Q.H., 2017. "Coordinated dispatch of electric power and district heating networks: A decentralized solution using optimality condition decomposition," Applied Energy, Elsevier, vol. 206(C), pages 1508-1522.
    6. He, Ke-Lun & Chen, Qun & Ma, Huan & Zhao, Tian & Hao, Jun-Hong, 2020. "An isomorphic multi-energy flow modeling for integrated power and thermal system considering nonlinear heat transfer constraint," Energy, Elsevier, vol. 211(C).
    7. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Effects of the operation regulation modes of district heating system on an integrated heat and power dispatch system for wind power integration," Applied Energy, Elsevier, vol. 230(C), pages 1126-1139.
    8. Sameti, Mohammad & Haghighat, Fariborz, 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation," Energy, Elsevier, vol. 153(C), pages 575-591.
    9. Cao, Menglong & Wang, Zhe & Tang, Haobo & Li, Songran & Ji, Yulong & Han, Fenghui, 2024. "Heat flow topology-driven thermo-mass decoupling strategy: Cross-scale regularization modeling and optimization analysis," Applied Energy, Elsevier, vol. 367(C).
    10. Zhang, Lipeng & Gudmundsson, Oddgeir & Thorsen, Jan Eric & Li, Hongwei & Li, Xiaopeng & Svendsen, Svend, 2016. "Method for reducing excess heat supply experienced in typical Chinese district heating systems by achieving hydraulic balance and improving indoor air temperature control at the building level," Energy, Elsevier, vol. 107(C), pages 431-442.
    11. N. N. Novitsky & A. V. Lutsenko, 2016. "Discrete-continuous optimization of heat network operating conditions in parallel operation of similar pumps at pumping stations," Journal of Global Optimization, Springer, vol. 66(1), pages 83-94, September.
    12. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Wang, Jinda, 2018. "Integrated heat and power dispatch truly utilizing thermal inertia of district heating network for wind power integration," Applied Energy, Elsevier, vol. 211(C), pages 865-874.
    13. Tahir, Muhammad Faizan & Haoyong, Chen & Guangze, Han, 2022. "Evaluating individual heating alternatives in integrated energy system by employing energy and exergy analysis," Energy, Elsevier, vol. 249(C).
    14. Dong, Zhe & Cheng, Zhonghua & Zhu, Yunlong & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2024. "Passivity-based control of fluid flow networks with capacitance," Energy, Elsevier, vol. 299(C).
    15. Wang, Zhe & Cao, Menglong & Tang, Haobo & Ji, Yulong & Han, Fenghui, 2024. "A global heat flow topology for revealing the synergistic effects of heat transfer and thermal power conversion in large scale systems: Methodology and case study," Energy, Elsevier, vol. 290(C).
    16. Chen, Yuwei & Guo, Qinglai & Sun, Hongbin & Li, Zhengshuo & Pan, Zhaoguang & Wu, Wenchuan, 2019. "A water mass method and its application to integrated heat and electricity dispatch considering thermal inertias," Energy, Elsevier, vol. 181(C), pages 840-852.
    17. Suyang Zhou & Di He & Zhiyang Zhang & Zhi Wu & Wei Gu & Junjie Li & Zhe Li & Gaoxiang Wu, 2019. "A Data-Driven Scheduling Approach for Hydrogen Penetrated Energy System Using LSTM Network," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    18. Song, William Hasung & Wang, Yang & Gillich, Aaron & Ford, Andy & Hewitt, Mark, 2019. "Modelling development and analysis on the Balanced Energy Networks (BEN) in London," Applied Energy, Elsevier, vol. 233, pages 114-125.
    19. Najjaran, Ahmad & Ma, Zhiwei & Bao, Huashan & Roskilly, Tony, 2025. "Kinetic of desorption in chemisorption heat pump technology for solar thermal energy storage," Energy, Elsevier, vol. 326(C).
    20. Chen, Dongwen & Li, Yong & Abbas, Zulkarnain & Li, Dehong & Wang, Ruzhu, 2022. "Network flow calculation based on the directional nodal potential method for meshed heating networks," Energy, Elsevier, vol. 243(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:320:y:2025:i:c:s0360544225009338. 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.