IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v303y2024ics0360544224016827.html
   My bibliography  Save this article

Control strategy optimization for wet flue gas desulfurization system during load cycling dynamic processes: Energy saving and environmental impact

Author

Listed:
  • Gao, Wei
  • Liu, Ming
  • Xin, Haozhe
  • Zhao, Yongliang
  • Wang, Chaoyang
  • Yan, Junjie

Abstract

To accommodate high penetration of fluctuating renewable power within the power grid, thermal power plants often engage in load cycling dynamic processes. When thermal power plants operate under low loads and load cycling dynamic processes, large ratio of auxiliary power is consumed in wet flue gas desulfurization (WFGD) system, because the slurry flowrate cannot be regulated appropriately. In this study, dynamic models of SO2 generation and WFGD system were developed, and coupled with the dynamic model of a thermal power plant. An optimization control strategy for slurry pumps under fixed-speed mode was presented. Then, model to determine the optimal slurry flowrates with changing parameters of flue gas and slurry was derived, and a control strategy to regulate inverter slurry pumps was proposed. The auxiliary power consumption during load cycling dynamic processes decreases significantly with optimization control strategies, although the cumulative SO2 emissions increases. When the control strategy optimization for slurry pumps under fixed-speed mode was implemented, the energy-saving potential is 19.00%, 20.39%, 22.06% and 23.05% during load decreasing processes under load cycling rate of 0.5%, 1.0%, 1.5%, and 2.0% Pe0 min−1, and that value under the control strategy to regulate inverter slurry pumps is 33.20%, 34.45%, 35.04% and 37.07%, respectively.

Suggested Citation

  • Gao, Wei & Liu, Ming & Xin, Haozhe & Zhao, Yongliang & Wang, Chaoyang & Yan, Junjie, 2024. "Control strategy optimization for wet flue gas desulfurization system during load cycling dynamic processes: Energy saving and environmental impact," Energy, Elsevier, vol. 303(C).
    • Handle: RePEc:eee:energy:v:303:y:2024:i:c:s0360544224016827
    DOI: 10.1016/j.energy.2024.131909
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224016827
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131909?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Yiming & Li, Jingxiang & Fei, Liangyu & Feng, Zhiyan & Gao, Jingzhou & Yan, Wenpeng & Zhao, Shengdun, 2023. "Operational performance estimation of vehicle electric coolant pump based on the ISSA-BP neural network," Energy, Elsevier, vol. 268(C).
    2. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    3. Jiang, Kaiqi & Yu, Hai & Chen, Linghong & Fang, Mengxiang & Azzi, Merched & Cottrell, Aaron & Li, Kangkang, 2020. "An advanced, ammonia-based combined NOx/SOx/CO2 emission control process towards a low-cost, clean coal technology," Applied Energy, Elsevier, vol. 260(C).
    4. Zhao, Xiaoli & Chen, Haoran & Liu, Suwei & Ye, Xiaomei, 2020. "Economic & environmental effects of priority dispatch of renewable energy considering fluctuating power output of coal-fired units," Renewable Energy, Elsevier, vol. 157(C), pages 695-707.
    5. Wang, Chaoyang & Qiao, Yongqiang & Liu, Ming & Zhao, Yongliang & Yan, Junjie, 2020. "Enhancing peak shaving capability by optimizing reheat-steam temperature control of a double-reheat boiler," Applied Energy, Elsevier, vol. 260(C).
    6. Li, Ruilian & Zeng, Deliang & Li, Tingting & Ti, Baozhong & Hu, Yong, 2023. "Real-time prediction of SO2 emission concentration under wide range of variable loads by convolution-LSTM VE-transformer," Energy, Elsevier, vol. 269(C).
    7. Zhang, Xiaoyun & Dong, Feng, 2023. "What affects residents’ behavioral intentions to ban gasoline vehicles? Evidence from an emerging economy," Energy, Elsevier, vol. 263(PB).
    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. Zhu, Hengyi & Tan, Peng & He, Ziqian & Ma, Lun & Zhang, Cheng & Fang, Qingyan & Chen, Gang, 2023. "Revealing steam temperature characteristics for a double-reheat unit under coal calorific value variation," Energy, Elsevier, vol. 283(C).
    2. Wei Zheng & Hongliang Qiu & Alastair M. Morrison, 2023. "Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    3. Ding, Song & Cai, Zhijian & Qin, Xinghuan & Shen, Xingao, 2024. "Comparative assessment and policy analysis of forecasting quarterly renewable energy demand: Fresh evidence from an innovative seasonal approach with superior matching algorithms," Applied Energy, Elsevier, vol. 367(C).
    4. Jiaqi Wu & Wenbo Li & Wenting Xu & Lin Yuan, 2023. "Measuring Resident Participation in the Renewal of Older Residential Communities in China under Policy Change," Sustainability, MDPI, vol. 15(3), pages 1-24, February.
    5. Feng, Zhanyu & Zhang, Jian & Jiang, Han & Yao, Xuejian & Qian, Yu & Zhang, Haiyan, 2024. "Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework," Energy, Elsevier, vol. 302(C).
    6. Wang, Gang & Zhang, Zhen & Lin, Jianqing, 2024. "Multi-energy complementary power systems based on solar energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    7. Zhang, Peiye & Liu, Ming & Mu, Ruiqi & Yan, Junjie, 2024. "Exergy-based control strategy design and dynamic performance enhancement for parabolic trough solar receiver-reactor of methanol decomposition reaction," Renewable Energy, Elsevier, vol. 224(C).
    8. Yu, Jianxi & Liu, Pei & Li, Zheng, 2021. "Data reconciliation of the thermal system of a double reheat power plant for thermal calculation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    9. Wang, Yingnan & Chen, Xu & Zhao, Chunhui, 2024. "A data-driven soft sensor model for coal-fired boiler SO2 concentration prediction with non-stationary characteristic," Energy, Elsevier, vol. 300(C).
    10. Liu, Yajie & Dong, Feng & Li, Guoqing & Huang, Jianheng & Yang, Shanshan & Wang, Yulong, 2023. "Public willingness to support the policy of banning gasoline vehicles sales and its internal mechanism," Energy, Elsevier, vol. 271(C).
    11. Wang, Chaoyang & Chen, Ming & Liu, Ming & Yan, Junjie, 2020. "Dynamic modeling and parameter analysis study on reversible solid oxide cells during mode switching transient processes," Applied Energy, Elsevier, vol. 263(C).
    12. Pan, Yuling & Dong, Feng, 2023. "The impacts of energy finance policies and renewable energy subsidy on energy vulnerability under carbon peaking scenarios," Energy, Elsevier, vol. 273(C).
    13. Xue, Xiaodong & Han, Wei & Xin, Yu & Liu, Changchun & Jin, Hongguang & Wang, Xiaodong, 2023. "Proposal and energetic and exergetic evaluation of a hydrogen production system with synergistic conversion of coal and solar energy," Energy, Elsevier, vol. 283(C).
    14. Yan, Hui & Liu, Ming & Wang, Zhu & Zhang, Kezhen & Chong, Daotong & Yan, Junjie, 2023. "Flexibility enhancement of solar-aided coal-fired power plant under different direct normal irradiance conditions," Energy, Elsevier, vol. 262(PA).
    15. Dong, Jun & Jeswani, Harish Kumar & Nzihou, Ange & Azapagic, Adisa, 2020. "The environmental cost of recovering energy from municipal solid waste," Applied Energy, Elsevier, vol. 267(C).
    16. Han, Li & Wang, Shiqi & Cheng, Yingjie & Chen, Shuo & Wang, Xiaojing, 2024. "Multi-timescale scheduling of an integrated electric-hydrogen energy system with multiple types of electrolysis cells operating in concert with fuel cells," Energy, Elsevier, vol. 307(C).
    17. Zhang, Kezhen & Liu, Ming & Zhao, Yongliang & Wang, Chaoyang & Yan, Junjie, 2020. "Entropy generation versus transition time of heat exchanger during transient processes," Energy, Elsevier, vol. 200(C).
    18. Yao, Dong & Xu, Zaifeng & Qi, Huaqing & Zhu, Zhaoyou & Gao, Jun & Wang, Yinglong & Cui, Peizhe, 2022. "Carbon footprint and water footprint analysis of generating synthetic natural gas from biomass," Renewable Energy, Elsevier, vol. 186(C), pages 780-789.
    19. Liu, Zefeng & Wang, Chaoyang & Fan, Jianlin & Liu, Ming & Xing, Yong & Yan, Junjie, 2024. "Enhancing the flexibility and stability of coal-fired power plants by optimizing control schemes of throttling high-pressure extraction steam," Energy, Elsevier, vol. 288(C).
    20. Chunlai Yang & Xiaoguang Hao & Qijun Zhang & Heng Chen & Zhe Yin & Fei Jin, 2023. "Performance Analysis of a 300 MW Coal-Fired Power Unit during the Transient Processes for Peak Shaving," Energies, MDPI, vol. 16(9), pages 1-17, April.

    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:303:y:2024:i:c:s0360544224016827. 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.