IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v206y2020ics0360544220312123.html
   My bibliography  Save this article

Flexible operation of supercritical coal-fired power plant integrated with solvent-based CO2 capture through collaborative predictive control

Author

Listed:
  • Wu, Xiao
  • Wang, Meihong
  • Lee, Kwang Y.

Abstract

This paper presents a controller design study for the supercritical coal fired power plant (CFPP) integrated with solvent-based post-combustion CO2 capture (PCC) system. The focus of the study is on the steam drawn-off from turbine to the re-boiler, which is the key interaction between the CFPP and PCC plants. The simulation study of a 660 MW supercritical CFPP-PCC unit model has shown that the impact of re-boiler steam change on the power generation of CFPP is more than 100 times faster than that on the PCC operation. Considering this finding, a collaborative predictive control strategy is proposed for the CFPP-PCC system where the re-boiler steam flowrate is manipulated for the CFPP load ramping and then gradually set to the required value for CO2 capture. The PCC is thereby exploited as an energy storage device, which can quickly store/release extra energy for the CFPP in addition to the primary function of carbon emission reduction. The simulation results show that the proposed collaborative predictive controller can effectively improve the load ramping performance of CFPP without much performance degradation on the PCC operation.

Suggested Citation

  • Wu, Xiao & Wang, Meihong & Lee, Kwang Y., 2020. "Flexible operation of supercritical coal-fired power plant integrated with solvent-based CO2 capture through collaborative predictive control," Energy, Elsevier, vol. 206(C).
    • Handle: RePEc:eee:energy:v:206:y:2020:i:c:s0360544220312123
    DOI: 10.1016/j.energy.2020.118105
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220312123
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.118105?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. Xiao Wu & Jiong Shen & Yiguo Li & Kwang Y. Lee, 2015. "Steam power plant configuration, design, and control," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 4(6), pages 537-563, November.
    2. Wu, Xiao & Wang, Meihong & Liao, Peizhi & Shen, Jiong & Li, Yiguo, 2020. "Solvent-based post-combustion CO2 capture for power plants: A critical review and perspective on dynamic modelling, system identification, process control and flexible operation," Applied Energy, Elsevier, vol. 257(C).
    3. Oh, Se-Young & Yun, Seokwon & Kim, Jin-Kuk, 2018. "Process integration and design for maximizing energy efficiency of a coal-fired power plant integrated with amine-based CO2 capture process," Applied Energy, Elsevier, vol. 216(C), pages 311-322.
    4. Wu, Xiao & Shen, Jiong & Wang, Meihong & Lee, Kwang Y., 2020. "Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization," Energy, Elsevier, vol. 196(C).
    5. Blarke, Morten B., 2012. "Towards an intermittency-friendly energy system: Comparing electric boilers and heat pumps in distributed cogeneration," Applied Energy, Elsevier, vol. 91(1), pages 349-365.
    6. Wu, Xiao & Wang, Meihong & Shen, Jiong & Li, Yiguo & Lawal, Adekola & Lee, Kwang Y., 2019. "Reinforced coordinated control of coal-fired power plant retrofitted with solvent based CO2 capture using model predictive controls," Applied Energy, Elsevier, vol. 238(C), pages 495-515.
    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. Kong, Xiaobing & Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Lee, Kwang Y., 2023. "Stable feedback linearization-based economic MPC scheme for thermal power plant," Energy, Elsevier, vol. 268(C).
    2. Zhu, Mingjuan & Liu, Yudong & Wu, Xiao & Shen, Jiong, 2023. "Dynamic modeling and comprehensive analysis of direct air-cooling coal-fired power plant integrated with carbon capture for reliable, economic and flexible operation," Energy, Elsevier, vol. 263(PA).
    3. Tang, Zihan & Wu, Xiao, 2023. "Distributed predictive control guided by intelligent reboiler steam feedforward for the coordinated operation of power plant-carbon capture system," Energy, Elsevier, vol. 267(C).
    4. Fu, Yue & Wang, Liyuan & Liu, Ming & Wang, Jinshi & Yan, Junjie, 2023. "Performance analysis of coal-fired power plants integrated with carbon capture system under load-cycling operation conditions," Energy, Elsevier, vol. 276(C).
    5. Qin, Yuxiao & Liu, Pei & Li, Zheng, 2022. "Multi-timescale hierarchical scheduling of an integrated energy system considering system inertia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    6. Dong, Zhe & Li, Bowen & Li, Junyi & Guo, Zhiwu & Huang, Xiaojin & Zhang, Yajun & Zhang, Zuoyi, 2021. "Flexible control of nuclear cogeneration plants for balancing intermittent renewables," Energy, Elsevier, vol. 221(C).
    7. Wilkes, Mathew Dennis & Mukherjee, Sanjay & Brown, Solomon, 2021. "Transient CO2 capture for open-cycle gas turbines in future energy systems," Energy, Elsevier, vol. 216(C).
    8. Lu, Nianci & Pan, Lei & Liu, Zhenxiang & Song, Yajun & Si, Paiyou, 2021. "Flexible operation control strategy for thermos-exchanger water level of two-by-one combined cycle gas turbine based on heat network storage utilization," Energy, Elsevier, vol. 232(C).
    9. Chenbin Ma & Wenzhao Zhang & Yu Zheng & Aimin An, 2021. "Economic Model Predictive Control for Post-Combustion CO 2 Capture System Based on MEA," Energies, MDPI, vol. 14(23), pages 1-15, December.
    10. Zhang, Yi & Liu, Jinfeng & Yang, Tingting & Liu, Jianbang & Shen, Jiong & Fang, Fang, 2021. "Dynamic modeling and control of direct air-cooling condenser pressure considering couplings with adjacent systems," Energy, Elsevier, vol. 236(C).
    11. Hou, Guolian & Gong, Linjuan & Hu, Bo & Su, Huilin & Huang, Ting & Huang, Congzhi & Fan, Wei & Zhao, Yuanzhu, 2022. "Application of fast adaptive moth-flame optimization in flexible operation modeling for supercritical unit," Energy, Elsevier, vol. 239(PA).
    12. Hosseini-Ardali, Seyed Mohsen & Hazrati-Kalbibaki, Majid & Fattahi, Moslem & Lezsovits, Ferenc, 2020. "Multi-objective optimization of post combustion CO2 capture using methyldiethanolamine (MDEA) and piperazine (PZ) bi-solvent," Energy, Elsevier, vol. 211(C).
    13. Basu, M., 2022. "Fuel constrained combined heat and power dynamic dispatch using horse herd optimization algorithm," Energy, Elsevier, vol. 246(C).
    14. Zhang, Bin & Wu, Xuewei & Ghias, Amer M.Y.M. & Chen, Zhe, 2023. "Coordinated carbon capture systems and power-to-gas dynamic economic energy dispatch strategy for electricity–gas coupled systems considering system uncertainty: An improved soft actor–critic approach," Energy, Elsevier, vol. 271(C).

    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. Akinola, Toluleke E. & Oko, Eni & Wu, Xiao & Ma, Keming & Wang, Meihong, 2020. "Nonlinear model predictive control (NMPC) of the solvent-based post-combustion CO2 capture process," Energy, Elsevier, vol. 213(C).
    2. Hosseini-Ardali, Seyed Mohsen & Hazrati-Kalbibaki, Majid & Fattahi, Moslem & Lezsovits, Ferenc, 2020. "Multi-objective optimization of post combustion CO2 capture using methyldiethanolamine (MDEA) and piperazine (PZ) bi-solvent," Energy, Elsevier, vol. 211(C).
    3. Otitoju, Olajide & Oko, Eni & Wang, Meihong, 2021. "Technical and economic performance assessment of post-combustion carbon capture using piperazine for large scale natural gas combined cycle power plants through process simulation," Applied Energy, Elsevier, vol. 292(C).
    4. Zhang, Yi & Liu, Jinfeng & Yang, Tingting & Liu, Jianbang & Shen, Jiong & Fang, Fang, 2021. "Dynamic modeling and control of direct air-cooling condenser pressure considering couplings with adjacent systems," Energy, Elsevier, vol. 236(C).
    5. Wu, Xiao & Wang, Meihong & Shen, Jiong & Li, Yiguo & Lawal, Adekola & Lee, Kwang Y., 2019. "Reinforced coordinated control of coal-fired power plant retrofitted with solvent based CO2 capture using model predictive controls," Applied Energy, Elsevier, vol. 238(C), pages 495-515.
    6. Wu, Xiao & Wang, Meihong & Liao, Peizhi & Shen, Jiong & Li, Yiguo, 2020. "Solvent-based post-combustion CO2 capture for power plants: A critical review and perspective on dynamic modelling, system identification, process control and flexible operation," Applied Energy, Elsevier, vol. 257(C).
    7. Song He & Yawen Zheng, 2024. "CO 2 Capture Cost Reduction Potential of the Coal-Fired Power Plants under High Penetration of Renewable Power in China," Energies, MDPI, vol. 17(9), pages 1-16, April.
    8. Wu, Xiao & Shen, Jiong & Wang, Meihong & Lee, Kwang Y., 2020. "Intelligent predictive control of large-scale solvent-based CO2 capture plant using artificial neural network and particle swarm optimization," Energy, Elsevier, vol. 196(C).
    9. Wu, Xiao & Xi, Han & Ren, Yuning & Lee, Kwang Y., 2021. "Power-carbon coordinated control of BFG-fired CCGT power plant integrated with solvent-based post-combustion CO2 capture," Energy, Elsevier, vol. 226(C).
    10. Skjervold, Vidar T. & Mondino, Giorgia & Riboldi, Luca & Nord, Lars O., 2023. "Investigation of control strategies for adsorption-based CO2 capture from a thermal power plant under variable load operation," Energy, Elsevier, vol. 268(C).
    11. Zhu, Mingjuan & Liu, Yudong & Wu, Xiao & Shen, Jiong, 2023. "Dynamic modeling and comprehensive analysis of direct air-cooling coal-fired power plant integrated with carbon capture for reliable, economic and flexible operation," Energy, Elsevier, vol. 263(PA).
    12. Tang, Zihan & Wu, Xiao, 2023. "Distributed predictive control guided by intelligent reboiler steam feedforward for the coordinated operation of power plant-carbon capture system," Energy, Elsevier, vol. 267(C).
    13. Yin, Linfei & Xie, Jiaxing, 2022. "Multi-feature-scale fusion temporal convolution networks for metal temperature forecasting of ultra-supercritical coal-fired power plant reheater tubes," Energy, Elsevier, vol. 238(PA).
    14. Hinkelman, Kathryn & Anbarasu, Saranya & Wetter, Michael & Gautier, Antoine & Zuo, Wangda, 2022. "A fast and accurate modeling approach for water and steam thermodynamics with practical applications in district heating system simulation," Energy, Elsevier, vol. 254(PA).
    15. Isogai, Hirotaka & Nakagaki, Takao, 2024. "Power-to-heat amine-based post-combustion CO2 capture system with solvent storage utilizing fluctuating electricity prices," Applied Energy, Elsevier, vol. 368(C).
    16. Oko, Eni & Ramshaw, Colin & Wang, Meihong, 2018. "Study of intercooling for rotating packed bed absorbers in intensified solvent-based CO2 capture process," Applied Energy, Elsevier, vol. 223(C), pages 302-316.
    17. Stinner, Sebastian & Schlösser, Tim & Huchtemann, Kristian & Müller, Dirk & Monti, Antonello, 2017. "Primary energy evaluation of heat pumps considering dynamic boundary conditions in the energy system," Energy, Elsevier, vol. 138(C), pages 60-78.
    18. Alsanousie, Abdurrahman A. & Elsamni, Osama A. & Attia, Abdelhamid E. & Elhelw, Mohamed, 2021. "Transient and troubleshoots management of aged small-scale steam power plants using Aspen Plus Dynamics," Energy, Elsevier, vol. 223(C).
    19. Yanjuan Yu & Hongkun Chen & Lei Chen, 2018. "Comparative Study of Electric Energy Storages and Thermal Energy Auxiliaries for Improving Wind Power Integration in the Cogeneration System," Energies, MDPI, vol. 11(2), pages 1-16, January.
    20. Kuo, Po-Chih & Illathukandy, Biju & Wu, Wei & Chang, Jo-Shu, 2021. "Energy, exergy, and environmental analyses of renewable hydrogen production through plasma gasification of microalgal biomass," Energy, Elsevier, vol. 223(C).

    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:206:y:2020:i:c:s0360544220312123. 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.