IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i2p376-d308051.html
   My bibliography  Save this article

Optimization of Fluidization State of a Circulating Fluidized Bed Boiler for Economical Operation

Author

Listed:
  • Xuemin Liu

    (China Special Equipment Inspection and Research Institute, Beijing 100029, China
    Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, China)

  • Hairui Yang

    (Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, China)

  • Junfu Lyu

    (Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Tsinghua University, Beijing 100084, China)

Abstract

To reduce the auxiliary power consumption and improve the reliability of large-scale circulating fluidized bed (CFB) boilers, we developed energy-saving CFB combustion technology based on the fluidization state re-specification. A calculation model of coal comminution energy consumption was used to analyze the change in comminution energy consumption, and a 1D CFB combustion model was modified to predict the operation parameters under the fluidization state optimization conditions. With a CFB boiler of 480 t/h, the effect of fluidization state optimization on the economical operation was analyzed using the above two models. We found that combustion efficiency presents a nonmonotonic trend with the change in the bed pressure drop and feeding coal size. There are an optimal bed pressure drop and a corresponding feeding coal size distribution, under which the net coal consumption is the lowest. Low bed pressure drop operation achieved by reducing the coal particle size is not beneficial to SO 2 and NO x emission control, and the pollutant control cost increases. The effect of fluidization state optimization on the gross cost of power supply can be calculated, and the optimal bed pressure drop can be obtained.

Suggested Citation

  • Xuemin Liu & Hairui Yang & Junfu Lyu, 2020. "Optimization of Fluidization State of a Circulating Fluidized Bed Boiler for Economical Operation," Energies, MDPI, vol. 13(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:376-:d:308051
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/2/376/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/2/376/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adamczyk, Wojciech P. & Myöhänen, Kari & Hartge, Ernst-Ulrich & Ritvanen, Jouni & Klimanek, Adam & Hyppänen, Timo & Białecki, Ryszard A., 2018. "Generation of data sets for semi-empirical models of circulated fluidized bed boilers using hybrid Euler-Lagrange technique," Energy, Elsevier, vol. 143(C), pages 219-240.
    2. Wang, Qinhui & Luo, Zhongyang & Li, Xuantian & Fang, Mengxiang & Ni, Mingjiang & Cen, Kefa, 1999. "A mathematical model for a circulating fluidized bed (CFB) boiler," Energy, Elsevier, vol. 24(7), pages 633-653.
    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. Jin Yan & Xiaofeng Lu & Changfei Zhang & Qianjun Li & Jinping Wang & Shirong Liu & Xiong Zheng & Xuchen Fan, 2021. "An Experimental Study on the Characteristics of NO x Distributions at the SNCR Inlets of a Large-Scale CFB Boiler," Energies, MDPI, vol. 14(5), pages 1-15, February.
    2. Boyu Deng & Tuo Zhou & Shuangming Zhang & Haowen Wu & Xiaoguo Jiang & Man Zhang & Hairui Yang, 2022. "Safety Analysis on the Heating Surfaces in the 660 MW Ultra-Supercritical CFB Boiler under Sudden Electricity Failure," Energies, MDPI, vol. 15(21), pages 1-15, October.
    3. Xueshen Wang & Zheng Gan & Shengwei Xin & Chunzhen Yang, 2023. "Study on Gas–Solid Two–Phase Flow Characteristics of One–Furnace with Two–Tower Semi–Dry Desulfurization in Circulating Fluidized Bed Boiler," Energies, MDPI, vol. 16(4), pages 1-13, February.
    4. Li Nie & Jiayi Lu & Qigang Deng & Liming Gong & Dayong Xue & Zhongzhi Yang & Xiaofeng Lu, 2022. "Study on the Uniformity of Secondary Air of a 660 MW Ultra-Supercritical CFB Boiler," Energies, MDPI, vol. 15(10), pages 1-12, May.
    5. Jin Yan & Xiaofeng Lu & Xiong Zheng & Rui Xue & Xiujian Lei & Xuchen Fan & Shirong Liu, 2020. "Experimental Investigations on Lateral Dispersion Coefficients of Fuel Particles in Large-Scale Circulating Fluidized Bed Boilers with Different Coal Feeding Modes," Energies, MDPI, vol. 13(23), pages 1-17, December.
    6. Boyu Deng & Yi Zhang & Hairui Yang, 2022. "Operation Optimization of Circulating Fluidized Bed Boilers Integration of Variable Renewables," Energies, MDPI, vol. 15(16), pages 1-3, August.

    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. Alobaid, Falah & Peters, Jens & Amro, Rami & Epple, Bernd, 2020. "Dynamic process simulation for Polish lignite combustion in a 1MWth circulating fluidized bed during load changes," Applied Energy, Elsevier, vol. 278(C).
    2. Adamczyk, Wojciech P. & Myöhänen, Kari & Hartge, Ernst-Ulrich & Ritvanen, Jouni & Klimanek, Adam & Hyppänen, Timo & Białecki, Ryszard A., 2018. "Generation of data sets for semi-empirical models of circulated fluidized bed boilers using hybrid Euler-Lagrange technique," Energy, Elsevier, vol. 143(C), pages 219-240.
    3. Peng, Wanxi & Liu, Zhenling & Motahari-Nezhad, Mohsen & Banisaeed, Mohammad & Shahraki, Saeid & Beheshti, Mehdi, 2016. "A detailed study of oxy-fuel combustion of biomass in a circulating fluidized bed (CFB) combustor: Evaluation of catalytic performance of metal nanoparticles (Al, Ni) for combustion efficiency improve," Energy, Elsevier, vol. 109(C), pages 1139-1147.
    4. Grochowalski, Jaroslaw & Jachymek, Piotr & Andrzejczyk, Marek & Klajny, Marcin & Widuch, Agata & Morkisz, Pawel & Hernik, Bartłomiej & Zdeb, Janusz & Adamczyk, Wojciech, 2021. "Towards application of machine learning algorithms for prediction temperature distribution within CFB boiler based on specified operating conditions," Energy, Elsevier, vol. 237(C).
    5. Zhuo, Xusheng & Lou, Chun & Zhou, Huaichun & Zhuo, Jinxuan & Fu, Peifang, 2018. "Hierarchical Takagi-Sugeno fuzzy hyperbolic tangent static model control for a circulating fluidized bed boiler thermal power unit," Energy, Elsevier, vol. 162(C), pages 910-917.
    6. Gungor, Afsin, 2009. "Second law analysis of heat transfer surfaces in circulating fluidized beds," Applied Energy, Elsevier, vol. 86(7-8), pages 1344-1353, July.

    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:13:y:2020:i:2:p:376-:d:308051. 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.