IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v308y2024ics0360544224026379.html
   My bibliography  Save this article

Experimental and numerical studies of the fuel concentration distribution within the near-wall area in a compact space for a gas turbine combustor

Author

Listed:
  • Dang, Zhanquan
  • Fan, Weijun
  • Zhang, Rongchun

Abstract

Interstage combustion is known for its small axial distance, high combustion efficiency and low lean blowout boundary. However, in a compact space, the distance between the fuel injection location and the wall is confined, and the high-temperature wall may affect the fuel distribution and in turn affect the combustion efficiency. In this study, an experiment of kerosene single-droplet evaporation was conducted, and the fuel distribution in an interstage combustor was numerically simulated. The experimental results showed that the evaporation rate of fuel droplets decreased with increasing distance from the high-temperature wall, and the influence of the lower wall on fuel evaporation was greater than that of the sidewall. The fuel evaporation rate at the high-temperature position within the nonuniform wall temperature field was relatively high. The numerical simulation results indicated that with increasing temperature, the effect of the wall on fuel evaporation increased, as did the uniformity of the fuel distribution. The direction of the temperature gradient imposed the greatest effect on the fuel distribution under nonuniform temperature conditions. This will facilitate the selection of the optimal ignition location within the cavity to achieve efficient combustion. Moreover, it's possible to control the fuel distribution by adjusting the wall temperature.

Suggested Citation

  • Dang, Zhanquan & Fan, Weijun & Zhang, Rongchun, 2024. "Experimental and numerical studies of the fuel concentration distribution within the near-wall area in a compact space for a gas turbine combustor," Energy, Elsevier, vol. 308(C).
    • Handle: RePEc:eee:energy:v:308:y:2024:i:c:s0360544224026379
    DOI: 10.1016/j.energy.2024.132863
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224026379
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132863?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. Zhang, R.C. & Hao, F. & Fan, W.J., 2018. "Combustion and stability characteristics of ultra-compact combustor using cavity for gas turbines," Applied Energy, Elsevier, vol. 225(C), pages 940-954.
    2. Zhang, Rongchun & Xu, Quanyong & Fan, Weijun, 2018. "Effect of swirl field on the fuel concentration distribution and combustion characteristics in gas turbine combustor with cavity," Energy, Elsevier, vol. 162(C), pages 83-98.
    3. Yan, Peiliang & Fan, Weijun & Zhang, Rongchun, 2023. "Predicting the NOx emissions of low heat value gas rich-quench-lean combustor via three integrated learning algorithms with Bayesian optimization," Energy, Elsevier, vol. 273(C).
    4. Zhang, R.C. & Huang, X.Y. & Fan, W.J. & Bai, N.J., 2019. "Influence of injection mode on the combustion characteristics of slight temperature rise combustion in gas turbine combustor with cavity," Energy, Elsevier, vol. 179(C), pages 603-617.
    5. Li, Mingyu & Wang, Qian & He, Xiaomin & Xiao, Jiankun & Ma, Heng, 2022. "Effects of fuel injection on the combustion and emission performance of a trapped vortex combustor," Energy, Elsevier, vol. 252(C).
    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. Zhang, R.C. & Bai, N.J. & Fan, W.J. & Huang, X.Y. & Fan, X.Q., 2019. "Influence of flame stabilization and fuel injection modes on the flow and combustion characteristics of gas turbine combustor with cavity," Energy, Elsevier, vol. 189(C).
    2. Zhao, Yuling & He, Xiaomin & Li, Mingyu, 2020. "Effect of mainstream forced entrainment on the combustion performance of a gas turbine combustor," Applied Energy, Elsevier, vol. 279(C).
    3. Zhang, R.C. & Bai, N.J. & Fan, W.J. & Yan, W.H. & Hao, F. & Yin, C.M., 2018. "Flow field and combustion characteristics of integrated combustion mode using cavity with low flow resistance for gas turbine engines," Energy, Elsevier, vol. 165(PA), pages 979-996.
    4. Zhang, R.C. & Huang, X.Y. & Fan, W.J. & Bai, N.J., 2019. "Influence of injection mode on the combustion characteristics of slight temperature rise combustion in gas turbine combustor with cavity," Energy, Elsevier, vol. 179(C), pages 603-617.
    5. Shilong, Zhao & Yuxin, Fan & Deng, Tiantai & Crookes, Danny, 2020. "Influence of injection scheme on flame characteristics in partially premixed combustion," Energy, Elsevier, vol. 205(C).
    6. Yang, Xiao & He, Zhihong & Qiu, Penghua & Dong, Shikui & Tan, Heping, 2019. "Numerical investigations on combustion and emission characteristics of a novel elliptical jet-stabilized model combustor," Energy, Elsevier, vol. 170(C), pages 1082-1097.
    7. Zhang, Hua & Li, Zongkun & Ge, Wei & Zhang, Yadong & Wang, Te & Sun, Heqiang & Jiao, Yutie, 2024. "An extended Bayesian network model for calculating dam failure probability based on fuzzy sets and dynamic evidential reasoning," Energy, Elsevier, vol. 301(C).
    8. Qiu, Tao & Li, Ning & Lei, Yan & Sang, Hailang & Ma, Xuejian & Liu, Zedu, 2024. "Research on the method of diesel particulate filters carbon load recognition based on deep learning," Energy, Elsevier, vol. 292(C).
    9. Li, Mingyu & Wang, Qian & He, Xiaomin & Xiao, Jiankun & Ma, Heng, 2022. "Effects of fuel injection on the combustion and emission performance of a trapped vortex combustor," Energy, Elsevier, vol. 252(C).
    10. Fuquan Deng & Minwei Zhao & Shunchuang Qin & Zhaokun Wang & Yongliang Xie & Hongtao Zheng & Xiao Liu & Feng Zhang, 2023. "Numerical Simulation Study on the Dynamics of Bluff-Body Flames under Oxygen-Lean Conditions," Energies, MDPI, vol. 17(1), pages 1-19, December.
    11. Fu, Zaiguo & Gao, Huanhuan & Zeng, Zhuoxiong & Liu, Jiang & Zhu, Qunzhi, 2020. "Generation characteristics of thermal NOx in a double-swirler annular combustor under various inlet conditions," Energy, Elsevier, vol. 200(C).
    12. Zhang, Rongchun & Xu, Quanyong & Fan, Weijun, 2018. "Effect of swirl field on the fuel concentration distribution and combustion characteristics in gas turbine combustor with cavity," Energy, Elsevier, vol. 162(C), pages 83-98.
    13. Okeleye, Samuel Adeola & Thiruvengadam, Arvind & Perhinschi, Mario G. & Carder, Daniel, 2024. "Data-driven machine learning model of a Selective Catalytic Reduction on Filter (SCRF) in a heavy-duty diesel engine: A comparison of Artificial Neural Network with Tree-based algorithms," Energy, Elsevier, vol. 290(C).
    14. Han, Zhezhe & Hossain, Md. Moinul & Wang, Yuwei & Li, Jian & Xu, Chuanlong, 2020. "Combustion stability monitoring through flame imaging and stacked sparse autoencoder based deep neural network," Applied Energy, Elsevier, vol. 259(C).
    15. Wan, Jianlong & Zhao, Haibo, 2021. "Ultra-lean blow-off dynamics of a holder-stabilized premixed flame in a preheated mesoscale combustor near laminar critical condition," Energy, Elsevier, vol. 228(C).
    16. Alruqi, Mansoor & Sharma, Prabhakar & Ağbulut, Ümit, 2023. "Investigations on biomass gasification derived producer gas and algal biodiesel to power a dual-fuel engines: Application of neural networks optimized with Bayesian approach and K-cross fold," Energy, Elsevier, vol. 282(C).
    17. Wang, Jianguo & Han, Lincheng & Zhang, Xiuyu & Wang, Yingzhou & Zhang, Shude, 2023. "Electrical load forecasting based on variable T-distribution and dual attention mechanism," Energy, Elsevier, vol. 283(C).
    18. Huang, Yakun & He, Xiaomin & Zhang, Huangwei & Zhu, Zhixin & Zhu, Huanyu, 2022. "Flame stability optimization of cavity primary air-jet form in an augmentor," Energy, Elsevier, vol. 239(PA).

    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:308:y:2024:i:c:s0360544224026379. 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.