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Prediction model of NOx emissions in the heavy-duty gas turbine combustor based on MILD combustion

Author

Listed:
  • Zhao, Qiaonan
  • Liu, Feng
  • Jiao, Anyao
  • Yang, Qiguo
  • Xu, Hongtao
  • Liao, Xiaowei

Abstract

A prediction model of NOx emissions in heavy-duty gas turbine combustors based on the moderate and intense low-oxygen dilution (MILD) combustion was proposed, and the inlet parameter sensitivity analysis was also investigated to identify the impact weight for the practical operation of heavy-duty gas turbines. The optimal space-filling (OSF) design was first adopted to determine the optimal combination of gas temperature (Tgas), primary air temperature (Tfirst), secondary air temperature (Tsecondary), gas mass flow (mgas), primary air mass flow (mfirst), and secondary air mass flow (msecondary) for minimum NOx emissions. Based on the results of the OSF design, the minimum NOx emissions of 24.11 mg/m3 were obtained, and the corresponding Tgas, Tfirst, Tsecondary, mgas, mfirst, and msecondary were 769.67 K, 825.10 K, 722.61 K, 1.71 kg/s, 4.29 kg/s, and 7.69 kg/s within the range of 10% fluctuation of rated input parameters. The sensitivity ranking of the six inlet parameters was secondly achieved as mfirst > Tfirst > Tsecondary > msecondary > mgas > Tgas with the base of NOx emissions. Finally, a novel prediction model with six inlet parameters was established to quickly and accurately calculate the NOx emissions influenced by complicated boundary conditions in MILD combustion of heavy-duty gas turbines.

Suggested Citation

  • Zhao, Qiaonan & Liu, Feng & Jiao, Anyao & Yang, Qiguo & Xu, Hongtao & Liao, Xiaowei, 2023. "Prediction model of NOx emissions in the heavy-duty gas turbine combustor based on MILD combustion," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s036054422302368x
    DOI: 10.1016/j.energy.2023.128974
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    References listed on IDEAS

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    1. Khanali, Majid & Ghasemi-Mobtaker, Hassan & Varmazyar, Hossein & Mohammadkashi, Naghmeh & Chau, Kwok-wing & Nabavi-Pelesaraei, Ashkan, 2022. "Applying novel eco-exergoenvironmental toxicity index to select the best irrigation system of sunflower production," Energy, Elsevier, vol. 250(C).
    2. Sharma, Saurabh & Chowdhury, Arindrajit & Kumar, Sudarshan, 2020. "A novel air injection scheme to achieve MILD combustion in a can-type gas turbine combustor," Energy, Elsevier, vol. 194(C).
    3. Pires, Thiago S. & Cruz, Manuel E. & Colaço, Marcelo J. & Alves, Marco A.C., 2018. "Application of nonlinear multivariable model predictive control to transient operation of a gas turbine and NOX emissions reduction," Energy, Elsevier, vol. 149(C), pages 341-353.
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