IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i2p475-d1321825.html
   My bibliography  Save this article

Numerical Study on Effect of Flue Gas Recirculation and Co-Firing with Biomass on Combustion Characteristics in Octagonal Tangentially Lignite-Fired Boiler

Author

Listed:
  • Jiajun Du

    (Shenhua Group CFB Technology R&D Center, CFB Research and Development Department (R&D), Xi’an 710065, China)

  • Jiahui Yang

    (State Key Laboratory of Multiphase Flow in Power Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yonggang Zhao

    (Shenhua Group CFB Technology R&D Center, CFB Research and Development Department (R&D), Xi’an 710065, China)

  • Qianxin Guo

    (Shenhua Group CFB Technology R&D Center, CFB Research and Development Department (R&D), Xi’an 710065, China)

  • Yaodong Da

    (State Key Laboratory of Multiphase Flow in Power Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    China Special Equipment Inspection and Research Institute, Beijing 100029, China)

  • Defu Che

    (State Key Laboratory of Multiphase Flow in Power Engineering, School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

The octagonal tangentially fired boiler can be utilized for burning lignite with high moisture. Co-firing biomass in an octagonal tangential boiler is considered a promising approach. A numerical simulation is carried out in this study to analyze the impact of flue gas recirculation (FGR) and the biomass blending ratio on heat and mass transfer in an octagonal tangentially fired boiler. When the FGR rate increases from 0 to 30%, the maximum temperature in the boiler decreases from 2162.8 to 2106.5 K. Simultaneously, the average temperature of the center longitudinal section decreases from 1589.0 to 1531.9 K. The maximum fluctuation of the outlet flue gas temperature remains within 10.9 K for the four calculated working conditions. Consequently, the efficiency of the boiler is basically unchanged. However, the flue gas temperature at the furnace outlet decreases significantly from 1605.9 to 1491.9 K. When the biomass blending ratio increases from 0 to 20%, the mean temperature of the primary combustion zone decreases from 1600.5 to 1571.2 K.

Suggested Citation

  • Jiajun Du & Jiahui Yang & Yonggang Zhao & Qianxin Guo & Yaodong Da & Defu Che, 2024. "Numerical Study on Effect of Flue Gas Recirculation and Co-Firing with Biomass on Combustion Characteristics in Octagonal Tangentially Lignite-Fired Boiler," Energies, MDPI, vol. 17(2), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:2:p:475-:d:1321825
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/2/475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/2/475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Echi, Souhir & Bouabidi, Abdallah & Driss, Zied & Abid, Mohamed Salah, 2019. "CFD simulation and optimization of industrial boiler," Energy, Elsevier, vol. 169(C), pages 105-114.
    2. Karol Król & Dorota Nowak-Woźny & Wojciech Moroń, 2023. "Study of Ash Sintering Temperature and Ash Deposition Behavior during Co-Firing of Polish Bituminous Coal with Barley Straw Using Non-Standard Tests," Energies, MDPI, vol. 16(11), pages 1-15, May.
    3. Yorifuji, Ryota & Obara, Shin'ya, 2022. "Economic design of artificial light plant factories based on the energy conversion efficiency of biomass," Applied Energy, Elsevier, vol. 305(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. Heydar Maddah & Milad Sadeghzadeh & Mohammad Hossein Ahmadi & Ravinder Kumar & Shahaboddin Shamshirband, 2019. "Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    2. Jun Liu & Yuyan Zhou & Lihua Chen & Lichuan Wang, 2023. "Assessing the Impact of Climate Change on Water Usage in Typical Industrial Enterprises," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    3. Li, Xinli & Wang, Yingnan & Zhu, Yun & Yang, Guotian & Liu, He, 2021. "Temperature prediction of combustion level of ultra-supercritical unit through data mining and modelling," Energy, Elsevier, vol. 231(C).
    4. Xue, Wenyuan & Lu, Yichen & Wang, Zhi & Cao, Shengxian & Sui, Mengxuan & Yang, Yuan & Li, Jiyuan & Xie, Yubin, 2024. "Reconstructing near-water-wall temperature in coal-fired boilers using improved transfer learning and hidden layer configuration optimization," Energy, Elsevier, vol. 294(C).
    5. Michał Chabiński & Andrzej Szlęk, 2024. "Effect of Adding Halloysite to Different Solid Biomass Fuels on Combustion Process in a Small-Scale Domestic Retort Boiler," Energies, MDPI, vol. 17(24), pages 1-13, December.
    6. Cossu, Marco & Tiloca, Maria Teresa & Cossu, Andrea & Deligios, Paola A. & Pala, Tore & Ledda, Luigi, 2023. "Increasing the agricultural sustainability of closed agrivoltaic systems with the integration of vertical farming: A case study on baby-leaf lettuce," Applied Energy, Elsevier, vol. 344(C).
    7. Hongwei Shi & Xiao Yin & Chunming Wang & Haipeng Wang, 2024. "Experimental and Numerical Simulation Research on Different Shapes of Flame-Stabilizing Baffles in the Furnace," Energies, MDPI, vol. 17(17), pages 1-21, August.
    8. Hong-Wei Shi & Hai-Peng Wang, 2023. "Research on Full Premixed Combustion and Emission Characteristics of Non-Electric Gas Boiler," Energies, MDPI, vol. 16(21), pages 1-28, November.
    9. Ziqiang Yang & Fenghai Li & Mingjie Ma & Xuefei Liu & Hongli Fan & Zhenzhu Li & Yong Wang & Yitian Fang, 2023. "Regulation Mechanism of Solid Waste on Ash Fusion Characteristics of Sorghum Straw under O 2 /CO 2 Atmosphere," Energies, MDPI, vol. 16(20), pages 1-17, October.
    10. Piotr Jóźwiak & Jarosław Hercog & Aleksandra Kiedrzyńska & Krzysztof Badyda & Daniela Olevano, 2020. "Thermal Effects of Natural Gas and Syngas Co-Firing System on Heat Treatment Process in the Preheating Furnace," Energies, MDPI, vol. 13(7), pages 1-15, April.
    11. Darbandi, Masoud & Fatin, Ali & Bordbar, Hadi, 2020. "Numerical study on NOx reduction in a large-scale heavy fuel oil-fired boiler using suitable burner adjustments," Energy, Elsevier, vol. 199(C).
    12. Chen, Chunxiang & Li, Bingjie & He, Lihui & Wei, Guangsheng & Qin, Shuo, 2024. "Slagging tendency analysis and evaluation of biomass and coal during co-firing," Energy, Elsevier, vol. 305(C).
    13. Xiao, Guolin & Gao, Xiaori & Lu, Wei & Liu, Xiaodong & Asghar, Aamer Bilal & Jiang, Liu & Jing, Wenlin, 2023. "A physically based air proportioning methodology for optimized combustion in gas-fired boilers considering both heat release and NOx emissions," Applied Energy, Elsevier, vol. 350(C).
    14. Rao Kuang & Nangui Fan & Weifeng Zhang & Song Gan & Xiaomin Zhou & Heyi Huang & Yijun Shen, 2022. "Feasibility Analysis of Creating Light Environment for Growing Containers with Marine Renewable Energy," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    15. Yu, Zhitong & Bu, Kunlang & Liu, Yongzi & Wang, Aojiang & Yuan, Wei & Xue, Jiao & Zhang, Jingjin & Bao, Hua & Lai, Dayi, 2024. "Energy examination and optimization workflow for container farms: A case study in Shanghai, China," Applied Energy, Elsevier, vol. 374(C).
    16. Aminmahalati, Alireza & Fazlali, Alireza & Safikhani, Hamed, 2021. "Multi-objective optimization of CO boiler combustion chamber in the RFCC unit using NSGA II algorithm," Energy, Elsevier, vol. 221(C).
    17. Yinchen Wang & Zhongyang Luo & Chunjiang Yu & Sheng Wang & Xiaohuan Wang & Peiliang Zhu, 2024. "Improving the Methodology for Determining the Biomass/Coal Co-Combustion Ratio: Predictive Modeling of the 14 C Activity of Pure Biomass," Energies, MDPI, vol. 17(4), pages 1-23, February.
    18. Yee Van Fan & Zorka Novak Pintarič & Jiří Jaromír Klemeš, 2020. "Emerging Tools for Energy System Design Increasing Economic and Environmental Sustainability," Energies, MDPI, vol. 13(16), pages 1-25, August.
    19. Horvat, Ivan & Dović, Damir & Filipović, Petar, 2021. "Numerical and experimental methods in development of the novel biomass combustion system concept for wood and agro pellets," Energy, Elsevier, vol. 231(C).
    20. Yeweon Kim & Hye-Ry Shin & Su-hyun Oh & Ki-Hyung Yu, 2022. "Analysis on the Economic Feasibility of a Plant Factory Combined with Architectural Technology for Energy Performance Improvement," Agriculture, MDPI, vol. 12(5), pages 1-11, May.

    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:2:p:475-:d:1321825. 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.