IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v331y2025ics0360544225025927.html

Study on hydrodynamic characteristics of a subcritical CFB boiler with natural circulation at low loads

Author

Listed:
  • Chen, Yu
  • Ma, Youfu
  • Wang, Mingchang
  • Yuan, Xingwang
  • Wang, Junfeng
  • Lyu, Junfu

Abstract

Circulating fluidized bed (CFB) boilers are expected to operate at very low loads thus meeting the deep peaking needs of the grid. At this time, the hydrodynamic safety of boilers at low loads is a key concern. In this study, hydrodynamic characteristics of the evaporating heating surface of a 300 MW subcritical CFB boiler were studied under wide loads, based on establishing a hydrodynamic calculation model. The results show that as the boiler load decreases from 100% to 1%, the total circulating water volume shows different trends in the constant- and sliding-pressure load ranges. With the load decreasing from 30% to 1%: the circulating water velocity of loops decreases from 1.01–1.41 m/s to 0.30–0.45 m/s, the circulation ratio increases from 14.17–28.48 to 160.36–289.31; the coefficient of mass flow rate deviation enlarges from 0.848–1.180 to 0.798–1.221. At extremely low load of 1% BMCR, the circulating water velocity in the water wall falls below the minimum value (0.40 m/s) to prevent dirt deposition, and 64% of loops fail to meet the safety verification to prevent water circulation stagnation, indicating that circulation stagnation and dirt deposition should be concerned as boiler load decreases to a very low level.

Suggested Citation

  • Chen, Yu & Ma, Youfu & Wang, Mingchang & Yuan, Xingwang & Wang, Junfeng & Lyu, Junfu, 2025. "Study on hydrodynamic characteristics of a subcritical CFB boiler with natural circulation at low loads," Energy, Elsevier, vol. 331(C).
  • Handle: RePEc:eee:energy:v:331:y:2025:i:c:s0360544225025927
    DOI: 10.1016/j.energy.2025.136950
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225025927
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136950?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Zima, Wiesław, 2019. "Simulation of rapid increase in the steam mass flow rate at a supercritical power boiler outlet," Energy, Elsevier, vol. 173(C), pages 995-1005.
    2. Hong, Feng & Chen, Jiyu & Wang, Rui & Long, Dongteng & Yu, Haoyang & Gao, Mingming, 2021. "Realization and performance evaluation for long-term low-load operation of a CFB boiler unit," Energy, Elsevier, vol. 214(C).
    3. Shengwei Xin & Hu Wang & Jianbo Li & Gang Wang & Quanhai Wang & Peiqing Cao & Peng Zhang & Xiaofeng Lu, 2022. "Discussion on the Feasibility of Deep Peak Regulation for Ultra-Supercritical Circulating Fluidized Bed Boiler," Energies, MDPI, vol. 15(20), pages 1-12, October.
    4. Zhao, Chenyu & Wang, Chaoyang & Fan, Jianlin & Liu, Ming & Liu, Jiping & Yan, Junjie, 2024. "Enhancing the load ramp-up capability of the subcritical CFB power unit by considering the evolution of internal stored energy," Energy, Elsevier, vol. 307(C).
    5. Madejski, Paweł & Taler, Dawid & Taler, Jan, 2022. "Thermal and flow calculations of platen superheater in large scale CFB boiler," Energy, Elsevier, vol. 258(C).
    6. Haowen Wu & Tuo Zhou & Xiannan Hu & Yongjun Luo & Man Zhang & Hairui Yang, 2023. "Thermal–Hydraulic Calculation and Analysis on Water Wall System of a 700 MWe Ultra-Supercritical CFB Boiler," Energies, MDPI, vol. 16(11), pages 1-11, May.
    7. Hong, Feng & Wang, Rui & Song, Jie & Gao, Mingming & Liu, Jizhen & Long, Dongteng, 2022. "A performance evaluation framework for deep peak shaving of the CFB boiler unit based on the DBN-LSSVM algorithm," Energy, Elsevier, vol. 238(PA).
    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. Alexander Kuhn & Jochen Ströhle & Bernd Epple, 2025. "Experimental Investigation of Partial Flue Gas Recirculation During Load Changes in a 1 MWth SRF-Fired CFB Combustor," Energies, MDPI, vol. 18(19), pages 1-20, October.
    2. Hong, Feng & Zhao, Yuzheng & Ji, Weiming & Fang, Fang & Hao, Junhong & Yang, Zhenyong & Kang, Jingqiu & Chen, Lei & Liu, Jizhen, 2024. "A feature-state observer and suppression control for generation-side low-frequency oscillation of thermal power units," Applied Energy, Elsevier, vol. 354(PA).
    3. Katarzyna Węglarz & Dawid Taler & Jan Taler & Mateusz Marcinkowski, 2023. "Numerical Modelling of Steam Superheaters in Supercritical Boilers," Energies, MDPI, vol. 16(6), pages 1-19, March.
    4. Zhang, Xiaoyu & Zhu, Shujun & Zhu, Jianguo & Liu, Yuhua & Zhang, Jiahang & Hui, Jicheng & Ding, Hongliang & Cao, Xiaoyang & Lyu, Qinggang, 2023. "Preheating and combustion characteristics of anthracite under O2/N2, O2/CO2 and O2/CO2/H2O atmospheres," Energy, Elsevier, vol. 274(C).
    5. Deng, Boyu & Zhang, Man & Lyu, Junfu & Li, Shaohua & Yang, Hairui, 2019. "Safety analysis on the water wall in the 350 MW supercritical CFB boiler under sudden electricity failure," Energy, Elsevier, vol. 189(C).
    6. Xu, Jing & Cui, Zhipeng & Ma, Suxia & Wang, Xiaowei & Zhang, Zhiyao & Zhang, Guoxia, 2024. "Data based digital twin for operational performance optimization in CFB boilers," Energy, Elsevier, vol. 306(C).
    7. Hu, Di & Zhang, Chen & Yang, Tao & Fang, Qingyan, 2025. "A deep autoencoder with structured latent space for process monitoring and anomaly detection in coal-fired power units," Reliability Engineering and System Safety, Elsevier, vol. 261(C).
    8. Esmaeili, Mohammad & Moradi, Hamed, 2023. "Robust & nonlinear control of an ultra-supercritical coal fired once-through boiler-turbine unit in order to optimize the uncertain problem," Energy, Elsevier, vol. 282(C).
    9. Hong, Feng & Wang, Rui & Song, Jie & Gao, Mingming & Liu, Jizhen & Long, Dongteng, 2022. "A performance evaluation framework for deep peak shaving of the CFB boiler unit based on the DBN-LSSVM algorithm," Energy, Elsevier, vol. 238(PA).
    10. Zhang, Hongfu & Gao, Mingming & Fan, Haohao & Zhang, Kaiping & Zhang, Jiahui, 2022. "A dynamic model for supercritical once-through circulating fluidized bed boiler-turbine units," Energy, Elsevier, vol. 241(C).
    11. Qianyu Li & Guanglong Wang & Xian Li & Qing Bao & Wei Li & Yukun Zhu & Cong Yu & Huan Ma, 2025. "Dynamic NO x Emission Modeling in a Utility Circulating Fluidized Bed Boiler Considering Denoising and Multi-Frequency Domain Information," Energies, MDPI, vol. 18(4), pages 1-16, February.
    12. Zhao, Chenyu & Wang, Chaoyang & Liu, Ming & Liu, Jiping & Yan, Junjie, 2025. "Cascade co-optimization of the load ramp-down capability considering the transient stored energy of subcritical CFB power units," Energy, Elsevier, vol. 332(C).
    13. 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.
    14. Fang, Lide & Liu, Yueyuan & Zheng, Meng & Liu, Xu & Lan, Kang & Wang, Fan & Yan, Xiaoli, 2023. "A new type of velocity averaging tube vortex flow sensor and measurement model of mass flow rate," Energy, Elsevier, vol. 283(C).
    15. Wang, Congyu & Chen, Fangfang & Xu, Pengjiang & Cao, Hongmei & Wang, Wei & Sun, Qie, 2025. "Dynamic simulation of a subcritical coal-fired power plant with the emphasis on flexibility," Applied Energy, Elsevier, vol. 392(C).
    16. Zeng, Guang & Zhou, Anqi & Fu, Jinming & Ji, Yang, 2022. "Experimental and numerical investigations on NOx formation and reduction mechanisms of pulverized-coal stereo-staged combustion," Energy, Elsevier, vol. 261(PB).
    17. Du, Pei & Yang, Dongchuan & Li, Yanzhao & Wang, Jianzhou, 2024. "An innovative interpretable combined learning model for wind speed forecasting," Applied Energy, Elsevier, vol. 358(C).
    18. Che, Yulong & Wang, Xiaoru & Ge, Leijiao & Lin, Hongjian & Lyu, Xiaoqin & Su, Hongsheng & Wang, Hao, 2025. "A review of research on traction load models and modeling methods for electrified railways," Renewable and Sustainable Energy Reviews, Elsevier, vol. 219(C).
    19. Bartosz Ciupek & Andrzej Frąckowiak, 2024. "Review of Thermal Calculation Methods for Boilers—Perspectives on Thermal Optimization for Improving Ecological Parameters," Energies, MDPI, vol. 17(24), pages 1-15, December.
    20. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Chong, Daotong & Yan, Junjie, 2020. "Entropy generation distribution characteristics of a supercritical boiler superheater during transient processes," Energy, Elsevier, vol. 201(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:energy:v:331:y:2025:i:c:s0360544225025927. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.