IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p2947-d1105498.html
   My bibliography  Save this article

Aerothermal Performance and Soot Emissions of Reacting Flow in a Micro-Gas Turbine Combustor

Author

Listed:
  • Heyu Wang

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

  • Kai Hong Luo

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

Abstract

Micro-gas turbines are used for power generation and propulsion in unmanned aerial vehicles. Despite the growing demand for electric engines in a world striving for a net zero carbon footprint, combustion gas turbines will continue to play a critical role. Hence, there is a need for improved micro-gas turbines that can meet stringent environmental regulations. This paper is the first part of a comprehensive study focused on understanding the fundamental performance and emission characteristics of a micro-gas turbine model, with the aim of finding ways to enhance its operation. The study used a multidisciplinary CFD model to simulate the reacting flow in the combustion chamber and validated the results against experimental data and throughflow simulations. The present work is one of the few work that attempts to address both the aerothermal performance and emissions of the gas turbine. The findings highlight that parameters such as non-uniform outlet pressure, fuel-to-air ratio, and fuel injection velocity can greatly influence the performance and emissions of the micro-gas turbine. These parameters can affect the combustion efficiency, the formation of hot spots at the combustor–turbine interface, and the soot emissions. The results provide valuable insights for optimizing the performance and reducing the emissions of micro-gas turbines and serve as a foundation for further research into the interaction between the combustor and the turbine.

Suggested Citation

  • Heyu Wang & Kai Hong Luo, 2023. "Aerothermal Performance and Soot Emissions of Reacting Flow in a Micro-Gas Turbine Combustor," Energies, MDPI, vol. 16(7), pages 1-19, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:2947-:d:1105498
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/2947/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/7/2947/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zong, Chao & Ji, Chenzhen & Cheng, Jiaying & Zhu, Tong & Guo, Desan & Li, Chengqin & Duan, Fei, 2022. "Toward off-design loads: Investigations on combustion and emissions characteristics of a micro gas turbine combustor by external combustion-air adjustments," Energy, Elsevier, vol. 253(C).
    2. Roberta De Robbio, 2023. "Micro Gas Turbine Role in Distributed Generation with Renewable Energy Sources," Energies, MDPI, vol. 16(2), pages 1-37, January.
    3. Roberto Capata & Matteo Saracchini, 2018. "Experimental Campaign Tests on Ultra Micro Gas Turbines, Fuel Supply Comparison and Optimization," Energies, MDPI, vol. 11(4), pages 1-17, March.
    4. Reyhaneh Banihabib & Mohsen Assadi, 2022. "The Role of Micro Gas Turbines in Energy Transition," Energies, MDPI, vol. 15(21), pages 1-22, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Heyu Wang & Kai Hong Luo, 2024. "Fully Coupled Whole-Annulus Investigation of Combustor–Turbine Interaction with Reacting Flow," Energies, MDPI, vol. 17(4), pages 1-21, February.

    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. Ju-Yeol Ryu & Sungho Park & Changhyeong Lee & Seonghyeon Hwang & Jongwoong Lim, 2023. "Techno-Economic Analysis of Hydrogen–Natural Gas Blended Fuels for 400 MW Combined Cycle Power Plants (CCPPs)," Energies, MDPI, vol. 16(19), pages 1-19, September.
    2. Wenjiao Qi & Qinghua Deng & Yu Jiang & Qi Yuan & Zhenping Feng, 2018. "Disc Thickness and Spacing Distance Impacts on Flow Characteristics of Multichannel Tesla Turbines," Energies, MDPI, vol. 12(1), pages 1-25, December.
    3. Roberta De Robbio & Maria Cristina Cameretti & Salvatore Agizza, 2023. "Design and Thermo-Economic Analysis of an Integrated Solar Field Micro Gas Turbine Biomass Gasifier and Organic Rankine Cycle System," Energies, MDPI, vol. 16(20), pages 1-25, October.
    4. Roberto Capata, 2018. "Urban and Extra-Urban Hybrid Vehicles: A Technological Review," Energies, MDPI, vol. 11(11), pages 1-38, October.
    5. Cheng, Jiaying & Liu, Bofan & Zhu, Tong, 2024. "Characterizing combustion instability in non-premixed methane combustion using internal flue gas recirculation," Applied Energy, Elsevier, vol. 370(C).
    6. Marcin Wołowicz & Piotr Kolasiński & Krzysztof Badyda, 2021. "Modern Small and Microcogeneration Systems—A Review," Energies, MDPI, vol. 14(3), pages 1-47, February.
    7. Khaoula Derbel & Károly Beneda, 2020. "Sliding Mode Control for Micro Turbojet Engine Using Turbofan Power Ratio as Control Law," Energies, MDPI, vol. 13(18), pages 1-23, September.
    8. Bollas, Konstantinos & Banihabib, Reyhaneh & Assadi, Mohsen & Kalfas, Anestis, 2024. "Optimal operating scenario and performance comparison of biomass-fueled externally-fired microturbine," Energy, Elsevier, vol. 296(C).
    9. Mokhtar Aly & Emad A. Mohamed & Hegazy Rezk & Ahmed M. Nassef & Mostafa A. Elhosseini & Ahmed Shawky, 2023. "An Improved Optimally Designed Fuzzy Logic-Based MPPT Method for Maximizing Energy Extraction of PEMFC in Green Buildings," Energies, MDPI, vol. 16(3), pages 1-23, January.
    10. Ahmad Abuhaiba & Mohsen Assadi & Dimitra Apostolopoulou & Jafar Al-Zaili & Abdulnaser I. Sayma, 2023. "Power Transmission and Control in Microturbines’ Electronics: A Review," Energies, MDPI, vol. 16(9), pages 1-23, May.
    11. Nicola Menga & Akhila Mothakani & Maria Grazia De Giorgi & Radoslaw Przysowa & Antonio Ficarella, 2022. "Extreme Learning Machine-Based Diagnostics for Component Degradation in a Microturbine," Energies, MDPI, vol. 15(19), pages 1-22, October.

    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:16:y:2023:i:7:p:2947-:d:1105498. 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.