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Reinforced coordinated control of coal-fired power plant retrofitted with solvent based CO2 capture using model predictive controls

Author

Listed:
  • Wu, Xiao
  • Wang, Meihong
  • Shen, Jiong
  • Li, Yiguo
  • Lawal, Adekola
  • Lee, Kwang Y.

Abstract

Solvent-based post-combustion CO2 capture (PCC) provides a promising technology for the CO2 removal of coal-fired power plant (CFPP). However, there are strong interactions between the CFPP and the PCC system, which makes it challenging to attain a good control for the integrated plant. The PCC system requires extraction of large amounts of steam from the intermediate/low pressure steam turbine to provide heat for solvent regeneration, which will reduce power generation. Wide-range load variation of power plant will cause strong fluctuation of the flue gas flow and brings in a significant impact on the PCC system. To overcome these issues, this paper presents a reinforced coordinated control scheme for the integrated CFPP-PCC system based on the investigation of the overall plant dynamic behavior. Two model predictive controllers are developed for the CFPP and PCC plants respectively, in which the steam flow rate to re-boiler and the flue-gas flow rate are considered as feed-forward signals to link the two systems together. Three operating modes are considered for designing the coordinated control system, which are: (1) normal operating mode; (2) rapid power load change mode; and (3) strict carbon capture mode. The proposed coordinated controller can enhance the overall performance of the CFPP-PCC plant and achieve a flexible trade-off between power generation and CO2 reduction. Simulation results on a small-scale subcritical CFPP-PCC plant developed on gCCS demonstrates the effectiveness of the proposed controller.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:495-515
    DOI: 10.1016/j.apenergy.2019.01.082
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    References listed on IDEAS

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    1. Sipöcz, Nikolett & Tobiesen, Finn Andrew & Assadi, Mohsen, 2011. "The use of Artificial Neural Network models for CO2 capture plants," Applied Energy, Elsevier, vol. 88(7), pages 2368-2376, July.
    2. Pan, Ming & Aziz, Farah & Li, Baohong & Perry, Simon & Zhang, Nan & Bulatov, Igor & Smith, Robin, 2016. "Application of optimal design methodologies in retrofitting natural gas combined cycle power plants with CO2 capture," Applied Energy, Elsevier, vol. 161(C), pages 695-706.
    3. 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.
    4. 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.
    5. 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.
    6. Wang, Dandan & Li, Sheng & Liu, Feng & Gao, Lin & Sui, Jun, 2018. "Post combustion CO2 capture in power plant using low temperature steam upgraded by double absorption heat transformer," Applied Energy, Elsevier, vol. 227(C), pages 603-612.
    7. Brouwer, Anne Sjoerd & van den Broek, Machteld & Seebregts, Ad & Faaij, André, 2015. "Operational flexibility and economics of power plants in future low-carbon power systems," Applied Energy, Elsevier, vol. 156(C), pages 107-128.
    8. Liu, Ji-Zhen & Yan, Shu & Zeng, De-Liang & Hu, Yong & Lv, You, 2015. "A dynamic model used for controller design of a coal fired once-through boiler-turbine unit," Energy, Elsevier, vol. 93(P2), pages 2069-2078.
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