Flexible operation of post-combustion solvent-based carbon capture for coalfired power plants using multi-model predictive control: A simulation study

FUEL

卷:220

Article

Wu, Xiao¹  Shen, Jiong¹  Li, Yiguo¹  Wang, Meihong²  Lawal, Adekola³ 

[1] Southeast Univ, Minist Educ, Key Lab Energy Thermal Convers & Control, Nanjing 210096, Jiangsu, Peoples R China

[2] Univ Sheffield, Dept Chem & Biol Engn, Sheffield S1 3JD, S Yorkshire, England

[3] Proc Syst Enterprise Ltd, 26-28 Hammersmith Grove, London W6 7HA, England

关键词: Post combustion CO(2)capture;    Power plant;    Flexible operation;    Multi-model predictive control;    Nonlinearity analysis;    System identification;   

DOI  :  10.1016/j.fuel.2018.02.061

来源: Elsevier

【 摘 要 】

Solvent-based post-combustion CO2 capture plant has to be operated in a flexible manner because of its high energy consumption and the frequent load variation of upstream power plants. Such a flexible operation brings out two objectives for the control system: i) the system should be able to change the CO2 capture rate quickly and smoothly in a wide operating range; ii) the system should effectively remove the disturbances from power plant flue gas. To achieve these goals, this paper proposed a multi-model predictive control (MMPC) strategy for solvent-based post-combustion CO2 capture plant. Firstly, local models of the CO2 capture plant at different operating points are identified through subspace identification method. Nonlinearity analysis of the plant is then performed and according to the results, suitable local models are selected, on which the multi-model predictive controller is designed. To enhance the flue gas disturbance rejection property of the CO2 capture plant and attain a better adaption to the power plant load variation, the flue gas flow rate is considered in the local model identification as an additional measured disturbance, thus the predictive controller can calculate the optimal control input even in the case of flue gas flow rate variation. Simulation results on an MEA-based CO2 capture plant developed on gCCS show the effectiveness and advantages of the proposed MMPC controller over wide range capture rate variation and power plant flue gas variation.

【 授权许可】

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