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Thermodynamic analysis of a novel precooled supersonic turbine engine based on aircraft/engine integrated optimal design

Author

Listed:
  • Cai, Changpeng
  • Chen, Haoying
  • Fang, Juan
  • Zheng, Qiangang
  • Chen, Cheng
  • Zhang, Haibo

Abstract

Aircraft and precooled engine efficient matching work is a key issue in the thermal cycle design of precooled engines, to solve this problem, an aircraft/precooled turbine engine integrated design method considering the fuel precooling impact mechanism is newly proposed. The impact of n-decane, ammonia, and hydrogen fuel precooling on aircraft design parameters and engine thrust requirements is revealed. Furthermore, a parameter optimal design method for fuel precooled engine is carried out to satisfy the multi-objective performance requirements of high specific thrust, low fuel consumption, high exergy efficiency, and low weight. The simulation results show that the n-decane fuel precooled engine reduces the takeoff weight of the aircraft by 4.23% and the fuel load by 11.6%, which has a better comprehensive performance than that of ammonia and hydrogen. Ammonia fuel has the maximum precooling heat sink and performance improvement space. After multi-objective optimization, it increases the maximum specific thrust by 7.3%, reduces fuel consumption by 2.2%, and improves the engine exergy efficiency by 2.7%, with only a 1.3% increase in rotating component weight. Ammonia and n-decane dual fuel precooling can achieve complementary advantages of high combustion heat value and high precooling heat sink, making it an ideal precooled engine scheme.

Suggested Citation

  • Cai, Changpeng & Chen, Haoying & Fang, Juan & Zheng, Qiangang & Chen, Cheng & Zhang, Haibo, 2023. "Thermodynamic analysis of a novel precooled supersonic turbine engine based on aircraft/engine integrated optimal design," Energy, Elsevier, vol. 280(C).
    • Handle: RePEc:eee:energy:v:280:y:2023:i:c:s0360544223015554
    DOI: 10.1016/j.energy.2023.128161
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    References listed on IDEAS

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    1. Lv, Chengkun & Xu, Haiqi & Chang, Juntao & Wang, Youyin & Chen, Ruoyu & Yu, Daren, 2022. "Mode transition analysis of a turbine-based combined-cycle considering ammonia injection pre-compressor cooling and variable-geometry ram-combustor," Energy, Elsevier, vol. 261(PB).
    2. Zhang, Duo & Yang, Shengbo & Zhang, Silong & Qin, Jiang & Bao, Wen, 2015. "Thermodynamic analysis on optimum performance of scramjet engine at high Mach numbers," Energy, Elsevier, vol. 90(P1), pages 1046-1054.
    3. Ekici, Selcuk, 2020. "Investigating routes performance of flight profile generated based on the off-design point: Elaboration of commercial aircraft-engine pairing," Energy, Elsevier, vol. 193(C).
    4. Wang, Cong & Feng, Yu & Liu, Zekuan & Wang, Yilin & Fang, Jiwei & Qin, Jiang & Shao, Jiahui & Huang, Hongyan, 2022. "Assessment of thermodynamic performance and CO2 emission reduction for a supersonic precooled turbine engine cycle fueled with a new green fuel of ammonia," Energy, Elsevier, vol. 261(PA).
    5. Wang, Cong & Yu, Xuanfei & Pan, Xin & Qin, Jiang & Huang, Hongyan, 2022. "Thermodynamic optimization of the indirect precooled engine cycle using the method of cascade utilization of cold sources," Energy, Elsevier, vol. 238(PB).
    6. Yu, Xuanfei & Wang, Cong & Yu, Daren, 2020. "Series view method based thermodynamic modeling and analysis for innovative precooled aeroengines with different turbine-compressor coupling schemes," Energy, Elsevier, vol. 205(C).
    7. Wang, Cong & Cheng, Kunlin & Qin, Jiang & Shao, Jiahui & Huang, Hongyan, 2022. "Performance comparison of three chemical precooled turbine engine cycles using methanol and n-decane as the precooling fuels," Energy, Elsevier, vol. 249(C).
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    8. Xin Song & Zun Cai & Jianheng Ji & Zihang Chen & Taiyu Wang & Fan Li & Mingbo Sun, 2025. "Feasibility study of hydrogen-ammonia synergistic combustion in scramjets across broad Mach ranges," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
    9. Wang, Cong & Yu, Daren & Liu, Taiqiu & Qin, Jiang & Fang, Jiwei & Xiu, Xinyan & Lang, Lei & Xu, Jie, 2025. "Thermodynamic analysis of the chemical regeneration cycle for turboprop engine with ammonia-blended fuel," Energy, Elsevier, vol. 334(C).
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