IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v226y2021ics0360544221006848.html
   My bibliography  Save this article

Power-carbon coordinated control of BFG-fired CCGT power plant integrated with solvent-based post-combustion CO2 capture

Author

Listed:
  • Wu, Xiao
  • Xi, Han
  • Ren, Yuning
  • Lee, Kwang Y.

Abstract

Decarbonizing the energy intensive iron and steel industry is in urgent need to meet the ambitious environmental goal. Efficient and clean use of the blast furnace gas (BFG) through combined-cycle gas turbine (CCGT) power plant provides feasible pathway to realize a near-term CO2 reduction when integrated with carbon capture. This paper presents effective control strategies to coordinate the operation of BFG-fired CCGT plant and solvent-based post-combustion CO2 capture (PCC) process based on the in-depth understanding of the interactions among process dynamics in different time-scales for carbon, heat and electricity. The energy storage capability of the PCC process is explored in addition to the CO2 capture and the reboiler steam flowrate used for solvent regeneration is incorporated into the BFG-fired CCGT control loop. Considering this, two coordinated control strategies are developed for the BFG-fired CCGT-PCC, first based on the conventional PI control and then with advanced model predictive control (MPC) approaches. The coordinated strategies are demonstrated to improve the power ramping performance of the CCGT with little degradation on the PCC operation, thus providing better support for the reliability of the power system in the context of increasing penetration of renewable energy resources. Moreover, by considering the impact of disturbances into the predictive models, the MPC-based coordinated control can well alleviate the influence of BFG fluctuations, guaranteeing a stable operation of the integrated plant. This paper points to the new direction of using PCC for more flexible power regulation of adjustable sources in low-carbon energy systems with penetration of intermittent renewable powers.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:226:y:2021:i:c:s0360544221006848
    DOI: 10.1016/j.energy.2021.120435
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221006848
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.120435?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. Li, Hailong & Ditaranto, Mario & Berstad, David, 2011. "Technologies for increasing CO2 concentration in exhaust gas from natural gas-fired power production with post-combustion, amine-based CO2 capture," Energy, Elsevier, vol. 36(2), pages 1124-1133.
    2. Jiang, L. & Gonzalez-Diaz, A. & Ling-Chin, J. & Roskilly, A.P. & Smallbone, A.J., 2019. "Post-combustion CO2 capture from a natural gas combined cycle power plant using activated carbon adsorption," Applied Energy, Elsevier, vol. 245(C), pages 1-15.
    3. 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.
    4. Chen, Qianqian & Gu, Yu & Tang, Zhiyong & Wei, Wei & Sun, Yuhan, 2018. "Assessment of low-carbon iron and steel production with CO2 recycling and utilization technologies: A case study in China," Applied Energy, Elsevier, vol. 220(C), pages 192-207.
    5. 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).
    6. Adams, T. & Mac Dowell, N., 2016. "Off-design point modelling of a 420MW CCGT power plant integrated with an amine-based post-combustion CO2 capture and compression process," Applied Energy, Elsevier, vol. 178(C), pages 681-702.
    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. Lu, Nianci & Pan, Lei & Pedersen, Simon & Arabkoohsar, Ahmad, 2023. "A two-dimensional design and synthesis method for coordinated control of flexible-operational combined cycle of gas turbine," Energy, Elsevier, vol. 284(C).
    2. 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).
    3. Wang, Linna & Chen, Chuqi & Chen, Lekang & Li, Zheng & Zeng, Wenjie, 2023. "A coordinated control methodology for small pressurized water reactor with steam dump control system," Energy, Elsevier, vol. 282(C).
    4. Wu, Xiao & Xi, Han & Qiu, Ruohan & Lee, Kwang Y., 2023. "Low carbon optimal planning of the steel mill gas utilization system," Applied Energy, Elsevier, vol. 343(C).
    5. 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).
    6. Sha Liu & Jiong Shen, 2022. "Modeling of Large-Scale Thermal Power Plants for Performance Prediction in Deep Peak Shaving," Energies, MDPI, vol. 15(9), pages 1-18, April.
    7. 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).
    8. Jiang, Yuemao & Ma, Yue & Han, Fenghui & Ji, Yulong & Cai, Wenjian & Wang, Zhe, 2023. "Assessment and optimization of a novel waste heat stepped utilization system integrating partial heating sCO2 cycle and ejector refrigeration cycle using zeotropic mixtures for gas turbine," Energy, Elsevier, vol. 265(C).
    9. Xi, Han & Wu, Xiao & Chen, Xianhao & Sha, Peng, 2021. "Artificial intelligent based energy scheduling of steel mill gas utilization system towards carbon neutrality," Applied Energy, Elsevier, vol. 295(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. Vadim Fetisov & Adam M. Gonopolsky & Maria Yu. Zemenkova & Schipachev Andrey & Hadi Davardoost & Amir H. Mohammadi & Masoud Riazi, 2023. "On the Integration of CO 2 Capture Technologies for an Oil Refinery," Energies, MDPI, vol. 16(2), pages 1-19, January.
    2. 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).
    3. Julio, Alisson Aparecido Vitoriano & Castro-Amoedo, Rafael & Maréchal, François & González, Aldemar Martínez & Escobar Palacio, José Carlos, 2023. "Exergy and economic analysis of the trade-off for design of post-combustion CO2 capture plant by chemical absorption with MEA," Energy, Elsevier, vol. 280(C).
    4. 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).
    5. Jiang, L. & Gonzalez-Diaz, A. & Ling-Chin, J. & Roskilly, A.P. & Smallbone, A.J., 2019. "Post-combustion CO2 capture from a natural gas combined cycle power plant using activated carbon adsorption," Applied Energy, Elsevier, vol. 245(C), pages 1-15.
    6. Liu, W. & Ji, Y. & Wang, R.Q. & Zhang, X.J. & Jiang, L., 2023. "Analysis on temperature vacuum swing adsorption integrated with heat pump for efficient carbon capture," Applied Energy, Elsevier, vol. 335(C).
    7. 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).
    8. 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).
    9. Xi, Han & Wu, Xiao & Chen, Xianhao & Sha, Peng, 2021. "Artificial intelligent based energy scheduling of steel mill gas utilization system towards carbon neutrality," Applied Energy, Elsevier, vol. 295(C).
    10. Diego, Maria Elena & Bellas, Jean-Michel & Pourkashanian, Mohamed, 2018. "Techno-economic analysis of a hybrid CO2 capture system for natural gas combined cycles with selective exhaust gas recirculation," Applied Energy, Elsevier, vol. 215(C), pages 778-791.
    11. 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).
    12. Chen Ya & Zhang Xintian & Liu Haoxiang, 2021. "Investigating the Impact of Capacity Utilization on Carbon Dioxide Emission: Evidence from China’s Iron and Steel Industry," Journal of Systems Science and Information, De Gruyter, vol. 9(6), pages 681-703, December.
    13. Hanak, Dawid P. & Powell, Dante & Manovic, Vasilije, 2017. "Techno-economic analysis of oxy-combustion coal-fired power plant with cryogenic oxygen storage," Applied Energy, Elsevier, vol. 191(C), pages 193-203.
    14. Wu, Xiao & Xi, Han & Qiu, Ruohan & Lee, Kwang Y., 2023. "Low carbon optimal planning of the steel mill gas utilization system," Applied Energy, Elsevier, vol. 343(C).
    15. Yuancheng Lin & Honghua Yang & Linwei Ma & Zheng Li & Weidou Ni, 2021. "Low-Carbon Development for the Iron and Steel Industry in China and the World: Status Quo, Future Vision, and Key Actions," Sustainability, MDPI, vol. 13(22), pages 1-28, November.
    16. Shen, Wenkai & Xing, Chang & Liu, Haiqing & Liu, Li & Hu, Qiming & Wu, Guohua & Yang, Yujia & Wu, Shaohua & Qiu, Penghua, 2022. "Exhaust gas recirculation effects on flame heat release rate distribution and dynamic characteristics in a micro gas turbine," Energy, Elsevier, vol. 249(C).
    17. An, Runying & Yu, Biying & Li, Ru & Wei, Yi-Ming, 2018. "Potential of energy savings and CO2 emission reduction in China’s iron and steel industry," Applied Energy, Elsevier, vol. 226(C), pages 862-880.
    18. Carapellucci, Roberto & Giordano, Lorena & Vaccarelli, Maura, 2017. "Application of an amine-based CO2 capture system in retrofitting combined gas-steam power plants," Energy, Elsevier, vol. 118(C), pages 808-826.
    19. 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).
    20. Afzali, Sayyed Faridoddin & Mahalec, Vladimir, 2017. "Optimal design, operation and analytical criteria for determining optimal operating modes of a CCHP with fired HRSG, boiler, electric chiller and absorption chiller," Energy, Elsevier, vol. 139(C), pages 1052-1065.

    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:226:y:2021:i:c:s0360544221006848. 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.