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Dynamic modeling and control of direct air-cooling condenser pressure considering couplings with adjacent systems

Author

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  • Zhang, Yi
  • Liu, Jinfeng
  • Yang, Tingting
  • Liu, Jianbang
  • Shen, Jiong
  • Fang, Fang

Abstract

Direct air-cooling is considered as a promising technique in power generation because of its huge water-saving advantages. However, this is accompanied by inherent sensitivity to meteorological and ambient conditions, which is liable to cause frequent detrimental fluctuations in the condenser pressure and unit operation stability/economy. Therefore, a higher requirement has been imposed on the control system to achieve stable and economic operation of direct air-cooling condenser. To this end, a dynamic direct air-cooling condenser pressure model is first established in this paper after taking fully consideration of both condenser dynamics and couplings with adjacent systems. Then, two control methods, namely zone model predictive control and zone economic model predictive control are applied to the established model to realize zone control of the condenser pressure while suppressing control quantity variations resulting from time-varying ambient temperature. Detailed quantitative analysis of the influence of direct air-cooling condenser pressure on the turbine bleed flow and unit economy has been performed after both model steady-state and dynamic verification, and the comparative control simulation results under two typical cases have illustrated that the proposed zone economic model predictive controller provides a flexible way to simultaneously deal with the ambient temperature changes and economic optimization issues.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017357
    DOI: 10.1016/j.energy.2021.121487
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    References listed on IDEAS

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    1. Yan, Min & Zhang, Liang & Shi, Yuetao & Zhang, Liqiang & Li, Yuzhong & Ma, Chunyuan, 2018. "A novel boiler cold-end optimisation system based on bypass flue in coal-fired power plants: Heat recovery from wet flue gas," Energy, Elsevier, vol. 152(C), pages 84-94.
    2. Butler, C. & Grimes, R., 2014. "The effect of wind on the optimal design and performance of a modular air-cooled condenser for a concentrated solar power plant," Energy, Elsevier, vol. 68(C), pages 886-895.
    3. 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).
    4. Yang, Tingting & Wang, Wei & Zeng, Deliang & Liu, Jizhen & Cui, Can, 2017. "Closed-loop optimization control on fan speed of air-cooled steam condenser units for energy saving and rapid load regulation," Energy, Elsevier, vol. 135(C), pages 394-404.
    5. Liu, Lihua & Du, Xiaoze & Xi, Xinming & Yang, Lijun & Yang, Yongping, 2013. "Experimental analysis of parameter influences on the performances of direct air cooled power generating unit," Energy, Elsevier, vol. 56(C), pages 117-123.
    6. Yang, L.J. & Wang, M.H. & Du, X.Z. & Yang, Y.P., 2012. "Trapezoidal array of air-cooled condensers to restrain the adverse impacts of ambient winds in a power plant," Applied Energy, Elsevier, vol. 99(C), pages 402-413.
    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. 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.
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