张龙 助理研究员
邮箱：zhanglong89@tsinghua.edu.cn
地址：北京市昌平区清华大学昌平科研基地A5楼5302室
教育背景
2023年毕业于清华大学，获博士研究生学历，工学博士学位
工作履历
2025-至今，清华大学，航空发动机研究院
2023-2025，清华大学，航空发动机研究院博士后
研究领域
湍流燃烧数值仿真；
燃烧不稳定性分析与主动控制；
污染物排放预测；
绿色低碳动力。
研究概况
长期从事湍流燃烧数值仿真和绿色低碳动力方面的研究。承担和参与国家自然科学基金青年基金、航发集团产学研、清华大学校内自主科研项目等课题多项。在研项目有氢能动力研发项目、氢能燃烧优化项目、XXXX燃烧调整技术研究项目、XXXX高性能低排放燃烧室CFD燃烧模型研发项目等。迄今为止在国内外权威期刊和国内外会议发表SCI学术论文31篇，发表专著1部《富氢燃气的燃烧特性及工业应用》，申请国家发明专利5项，登记软件著作权5项。
学术成果
专著：
富氢燃气的燃烧特性及工业应用，清华大学出版社，2025。
论文：
1. X. Zhu, J. Jiang, Y. Chen, L. Zhang, and Z. Ren, “Characterization of heat release rate in premixed methane-ammonia-air flames,” *Fuel*, 429, 141019, 2027.
2. L. Zhang, T. Yu, J. Zhang, and H. Zhou, “Numerical investigation of the effects of flame holding geometry on the flame dynamics in a hydrogen industrial burner,” *Applied Thermal Engineering*, 289, 129750, 2026.
3. Y. Chen, L. Zhang, X. Zhu, H. Zhou, and Z. Ren, “Large language model-assisted sensitivity analysis and parameter optimization in computational fluid dynamics,” *Theoretical and Applied Mechanics Letters*, 16, 100660, 2026.
4. J. Chen, L. Zhang, P. Li, B. An, T. Wang, C. Liang, M. Sun, and Z. Ren, “Experimental analysis of combustion instability in an ethylene-fueled cavity-stabilized RBCC model engine under low total temperature conditions,” *Combustion and Flame*, 287, 114940, 2026.
5. S. Li, Y. Hao, W. Shen, Z. Wang, Z. Zhang, L. Zhang, Z. Ren, and X. Lv, “Reconstruction of flow field in gas turbine combustors with correlation-guided machine learning models,” *Aerospace Science and Technology*, 175, 111924, 2026.
6. T. Yu, L. Zhang, H. Zhou, Z. Ren, and X. Gan, “Synergistic Effects of Fuel Stratification and Preferential Diffusion for Ultra-Low NOₓ Formation in Hydrogen Flames,” *Engineering*, in press, 2026.
7. Y. Lu, X. Zhu, L. Zhang, and H. Zhou, “Analysis of Information Loss on Composition Measurement in Stiff Reactive Systems,” *Combustion Science and Technology*, 1–27, 2026.
8. J. Jiang, T. Yu, H. Lu, H. Zhou, L. Zhang, X. Lv, and Z. Ren, “Synergistic effects of differential diffusion and mixing layer thickness on hydrogen–air triple-flame propagation and NOₓ formation,” *Combustion and Flame*, 291, 115108, 2026.
9. D. Hang, L. Zhang, W. Xiao, F. Cai, J. Wei, S. Liu, J. Cao, H. Zhou, and Z. Ren, “Mission-level comparison of hybrid-electric architectures for kerosene- and hydrogen-fueled turboprop aircraft,” *Aerospace Science and Technology*, 179, 113439, 2026.
10. L. Zhang, H. Zhou, J. Zhang, and Z. Ren, “Active control of longitudinal combustion instability in bluff-body stabilized premixed flames with multiple neural network controller,” *Combustion Science and Technology*, 197(15), 3983–4010, 2025.
11. L. Zhang, S. Li, T. Liu, H. Zhou, and Z. Ren, “Flow characteristics analysis and combustion oscillation mitigation of a hydrogen industrial burner,” *International Journal of Hydrogen Energy*, 97, 444–456, 2025.
12. X. Zhang, J. Jiang, H. Lu, H. Zhou, L. Zhang, and X. Lv, “Effects of pressure on boundary layer flashback dynamics in hydrogen-enriched swirling flames,” *International Journal of Hydrogen Energy*, 168, 150937, 2025.
13. S. Li, L. Zhang, X. Li, P. Fu, and H. Zhou, “Numerical analysis of NH₃–CH₄–air mixing quality effects on NOₓ formation in an air-staged gas turbine model combustor,” *Frontiers in Energy*, 19, 703–716, 2025.
14. Y. Xue, L. Zhang, X. Gong, H. Zhou, Z. Ren, and C. K. Law, “Self-excited oscillation in homogeneous near-extinction combustion of H₂/NH₃/CH₄ mixtures,” *Combustion and Flame*, 277, 114227, 2025.
15. Y. Liu, X. Wu, L. Zhang, Y. Guan, H. Zhou, P. Liu, and Z. Ren, “Interaction between external forcing modes and self-excited thermoacoustic modes in a single-element liquid rocket engine: Bifurcation routes to period-2 oscillation,” *Aerospace Science and Technology*, 164, 110424, 2025.
16. J. Jiang, B. Wan, T. Yu, L. Zhang, H. Zhou, J. Cai, and Z. Ren, “Effects of structural variations on NOₓ formation in coaxial dual-swirl hydrogen flames,” *International Journal of Hydrogen Energy*, 148, 150047, 2025.
17. S. Li, L. Xue, P. Fu, and L. Zhang, “Study on combustion oscillation characteristics of NH₃ cracked gas in burner applications,” *Applied Thermal Engineering*, 280, 128104, 2025.
18. T. Liu, P. Wang, L. Zhang, J. Li, H. Zhou, and Z. Ren, “Effects of transverse injection distribution scheme of dual flames on thermoacoustic instability in a Rijke tube,” *Proceedings of the Combustion Institute*, 41, 105924, 2025.
19. L. Zhang, H. Zhou, and Z. Ren, “Physics-guided fuel-switching neural networks for stable combustion of low calorific industrial gas,” *Energy*, 303, 131971, 2024.
20. S. Zhang, L. Zhang, P. Fu, H. Zhou, L. Hou, and Z. Ren, “LES investigation of kerosene spray flame emission characteristics in a staged combustor,” *Combustion Science and Technology*, 196(17), 4942–4965, 2024.
21. F. Cai, L. Zhang, H. Zhou, M. Yao, and Z. Ren, “An adaptive fluid-solid coupling time step control algorithm for unsteady conjugate heat transfer,” *Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science*, 238(16), 8515–8530, 2024.
22. L. Zhang, X. Su, H. Zhou, and Z. Ren, “Sliding mode control for longitudinal oscillating combustion,” *Combustion Theory and Modelling*, 27(5), 653–684, 2023.
23. Y. Xue, L. Zhang, S. Zhang, H. Zhou, and Z. Ren, “Analysis of low emission characteristics of NH₃/H₂/air mixtures under low temperature combustion conditions,” *Fuel*, 337, 126879, 2023.
24. L. Zhang, S. Li, Y. Xue, H. Zhou, and Z. Ren, “Neural network PID control for combustion instability,” *Combustion Theory and Modelling*, 26(2), 383–398, 2022.
25. L. Zhang, S. Li, M. Yao, H. Zhou, and Z. Ren, “Analysis of operating limits and combustion state regulation for low-calorific value gases in industrial burners,” *International Journal of Hydrogen Energy*, 47(2), 1306–1318, 2022.
26. L. Zhang, X. Su, H. Zhou, X. Wang, and Z. Ren, “Active control of multiple neural networks for oscillating combustion,” *AIAA Journal*, 60(6), 3821–3833, 2022.
27. L. Zhang, S. Zhang, H. Zhou, Z. Ren, H. Wang, and X. Wang, “Efficient combustion of low calorific industrial gases: Opportunities and challenges,” *Energies*, 15(23), 9224, 2022.
28. L. Zhang, Y. Xue, Q. Xie, and Z. Ren, “Analysis and neural network prediction of combustion stability for industrial gases,” *Fuel*, 287, 119507, 2021.
29. L. Zhang, N. Wang, J. Wei, and Z. Ren, “Exploring active subspace for neural network prediction of oscillating combustion,” *Combustion Theory and Modelling*, 25(3), 570–587, 2021.
30. X. Su, W. Ji, L. Zhang, W. Wu, Z. Ren, and S. Deng, “Neural differential equations for inverse modeling in model combustors,” *ASME International Mechanical Engineering Congress and Exposition*, 85673, V011T11A078, 2021.
31. L. Zhang, W. Xie, and Z. Ren, “Combustion stability analysis for non-standard low-calorific gases: Blast furnace gas and coke oven gas,” *Fuel*, 278, 118216, 2020.
