IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i1p252-d1312583.html
   My bibliography  Save this article

A Generalised Series Model for the LES of Premixed and Non-Premixed Turbulent Combustion

Author

Listed:
  • Weilin Zeng

    (School of Mechanical Engineering, Chengdu University, Chengdu 610106, China)

  • Xujiang Wang

    (Shenzhen Research Institute of Shandong University, Shenzhen 518000, China
    National Engineering Laboratory for Reducing Emissions from Coal Combustion, School of Energy and Power Engineering, Shandong University, Jinan 250061, China)

  • Kai Hong Luo

    (Department of Mechanical Engineering, University College London, London WC1E 7JE, UK)

  • Konstantina Vogiatzaki

    (Somerville College, Oxford University, Oxford OX1 2JD, UK)

  • Salvador Navarro-Martinez

    (Department of Mechanical Engineering, Imperial College London, Exhibition Road, South Kensington, London SW7 2AZ, UK)

Abstract

In this study, the generality and prediction accuracy of a generalised series model for the large eddy simulation of premixed and non-premixed turbulent combustion is explored. The model is based on the Taylor series expansion of the chemical source term in scalar space and implemented into OpenFOAM. The mathematical model does not depend on combustion regimes and has the correct limiting behaviour. The numerical error sources are also outlined and analysed. The model is first applied to a piloted methane/air non-premixed jet flame (Sandia Flame D). The statistical (time-averaged and RMS) results agree well with the experimental measurements, particularly with regard to the mixture fraction, velocity, temperature, and concentrations of major species CH 4 , CO 2 , H 2 O, and O 2 . However, the concentrations of the intermediates CO and H 2 are over-predicted, due to the limitations of the reduced reaction mechanism employed. Then, a Bunsen-piloted flame is simulated. Most of the statistical properties of both the reactive species and progress variables are well reproduced. The only major discrepancy evident is in the temperature, which is probably attributed to the experimental uncertainties of temperature fields in the pilot stream. These findings demonstrate the model’s generality for both a premixed and non-premixed combustion simulation, as well as the accuracy of prediction of reactive species distribution.

Suggested Citation

  • Weilin Zeng & Xujiang Wang & Kai Hong Luo & Konstantina Vogiatzaki & Salvador Navarro-Martinez, 2024. "A Generalised Series Model for the LES of Premixed and Non-Premixed Turbulent Combustion," Energies, MDPI, vol. 17(1), pages 1-17, January.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:1:p:252-:d:1312583
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/1/252/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/1/252/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Taamallah, S. & Vogiatzaki, K. & Alzahrani, F.M. & Mokheimer, E.M.A. & Habib, M.A. & Ghoniem, A.F., 2015. "Fuel flexibility, stability and emissions in premixed hydrogen-rich gas turbine combustion: Technology, fundamentals, and numerical simulations," Applied Energy, Elsevier, vol. 154(C), pages 1020-1047.
    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. Igor Donskoy, 2023. "Techno-Economic Efficiency Estimation of Promising Integrated Oxyfuel Gasification Combined-Cycle Power Plants with Carbon Capture," Clean Technol., MDPI, vol. 5(1), pages 1-18, February.
    2. Pashchenko, Dmitry, 2023. "Hydrogen-rich gas as a fuel for the gas turbines: A pathway to lower CO2 emission," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    3. Marwan Abdullah & Thibault F. Guiberti & Radi A. Alsulami, 2023. "Experimental Assessment on the Coupling Effect of Mixing Length and Methane-Ammonia Blends on Flame Stability and Emissions," Energies, MDPI, vol. 16(7), pages 1-12, March.
    4. Valera-Medina, Agustin & Marsh, Richard & Runyon, Jon & Pugh, Daniel & Beasley, Paul & Hughes, Timothy & Bowen, Phil, 2017. "Ammonia–methane combustion in tangential swirl burners for gas turbine power generation," Applied Energy, Elsevier, vol. 185(P2), pages 1362-1371.
    5. Kotowicz, Janusz & Bartela, Łukasz & Węcel, Daniel & Dubiel, Klaudia, 2017. "Hydrogen generator characteristics for storage of renewably-generated energy," Energy, Elsevier, vol. 118(C), pages 156-171.
    6. Sun, Yuze & Rao, Zhuming & Zhao, Dan & Wang, Bing & Sun, Dakun & Sun, Xiaofeng, 2020. "Characterizing nonlinear dynamic features of self-sustained thermoacoustic oscillations in a premixed swirling combustor," Applied Energy, Elsevier, vol. 264(C).
    7. Yilmaz, Harun & Yilmaz, Ilker, 2019. "Combustion and emission characteristics of premixed CNG/H2/CO/CO2 blending synthetic gas flames in a combustor with variable geometric swirl number," Energy, Elsevier, vol. 172(C), pages 117-133.
    8. Ramadan, Islam A. & Ibrahim, Abdelmaged H. & Abou-Arab, Tharwat W. & Rashwan, Sherif S. & Nemitallah, Medhat A. & Habib, Mohamed A., 2016. "Effects of oxidizer flexibility and bluff-body blockage ratio on flammability limits of diffusion flames," Applied Energy, Elsevier, vol. 178(C), pages 19-28.
    9. Monteiro, Eliseu & Ramos, Ana & Rouboa, Abel, 2024. "Fundamental designs of gasification plants for combined heat and power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 196(C).
    10. Mustafa Alnaeli & Mohammad Alnajideen & Rukshan Navaratne & Hao Shi & Pawel Czyzewski & Ping Wang & Sven Eckart & Ali Alsaegh & Ali Alnasif & Syed Mashruk & Agustin Valera Medina & Philip John Bowen, 2023. "High-Temperature Materials for Complex Components in Ammonia/Hydrogen Gas Turbines: A Critical Review," Energies, MDPI, vol. 16(19), pages 1-46, October.
    11. Ye, Jianan & Xie, Min & Zhang, Shiping & Huang, Ying & Liu, Mingbo & Wang, Qiong, 2023. "Stochastic optimal scheduling of electricity–hydrogen enriched compressed natural gas urban integrated energy system," Renewable Energy, Elsevier, vol. 211(C), pages 1024-1044.
    12. Wu, Yuwen & Weng, Chunsheng & Zheng, Quan & Wei, Wanli & Bai, Qiaodong, 2021. "Experimental research on the performance of a rotating detonation combustor with a turbine guide vane," Energy, Elsevier, vol. 218(C).
    13. Marco Sorrentino & Antonio Adamo & Gianmarco Nappi, 2019. "Self-Sufficient and Islanded-Oriented Design of a Reversible Solid Oxide Cell-Based Renewable Microgrid," Energies, MDPI, vol. 12(17), pages 1-15, August.
    14. Rashwan, Sherif S. & Ibrahim, Abdelmaged H. & Abou-Arab, Tharwat W. & Nemitallah, Medhat A. & Habib, Mohamed A., 2016. "Experimental investigation of partially premixed methane–air and methane–oxygen flames stabilized over a perforated-plate burner," Applied Energy, Elsevier, vol. 169(C), pages 126-137.
    15. Michel Feidt & Gheorghe Dumitrascu & Ana-Georgiana Lupu, 2023. "Chemical Modeling of Constant-Volume Combustion of the Mixture of Methane and Hydrogen Used in Spark Ignition Otto Cycles," Energies, MDPI, vol. 16(12), pages 1-27, June.
    16. Badakhsh, Arash & Mothilal Bhagavathy, Sivapriya, 2024. "Caveats of green hydrogen for decarbonisation of heating in buildings," Applied Energy, Elsevier, vol. 353(PB).
    17. Zhao, Dan & Li, Lei, 2015. "Effect of choked outlet on transient energy growth analysis of a thermoacoustic system," Applied Energy, Elsevier, vol. 160(C), pages 502-510.
    18. Guohui Song & Qi Zhao & Baohua Shao & Hao Zhao & Hongyan Wang & Wenyi Tan, 2023. "Life Cycle Assessment of Greenhouse Gas (GHG) and NO x Emissions of Power-to-H 2 -to-Power Technology Integrated with Hydrogen-Fueled Gas Turbine," Energies, MDPI, vol. 16(2), pages 1-14, January.
    19. Pashchenko, Dmitry, 2022. "Natural gas reforming in thermochemical waste-heat recuperation systems: A review," Energy, Elsevier, vol. 251(C).
    20. Marius Zoder & Janosch Balke & Mathias Hofmann & George Tsatsaronis, 2018. "Simulation and Exergy Analysis of Energy Conversion Processes Using a Free and Open-Source Framework—Python-Based Object-Oriented Programming for Gas- and Steam Turbine Cycles," Energies, MDPI, vol. 11(10), pages 1-19, September.

    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:gam:jeners:v:17:y:2024:i:1:p:252-:d:1312583. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.