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Dynamic simulator and model predictive control of an integrated solar combined cycle plant

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  • Ponce, Carolina V.
  • Sáez, Doris
  • Bordons, Carlos
  • Núñez, Alfredo

Abstract

This paper presents the design and evaluation of a dynamic simulator for an ISCC (integrated solar combined cycle) plant. The design of the simulator is based on the phenomenological equations for both a combined cycle plant and a solar plant. The simulator incorporates a regulatory control strategy based on PI (proportional-integral) controllers and was developed in the MATLAB/Simulink® environment. A MPC (model predictive control) strategy established at a supervisory level is presented. The intent of the strategy is to regulate the steam pressure of the superheater of the ISCC plant. The combined use of the simulator and the supervisory control strategy allows for the quantification of the reduction in fuel consumption that can be achieved when integrated solar collectors are used in a combined cycle plant. The ISCC plant simulator is suitable for designing, evaluating and testing control strategies and for planning the integration of solar and combined cycle plants.

Suggested Citation

  • Ponce, Carolina V. & Sáez, Doris & Bordons, Carlos & Núñez, Alfredo, 2016. "Dynamic simulator and model predictive control of an integrated solar combined cycle plant," Energy, Elsevier, vol. 109(C), pages 974-986.
  • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:974-986
    DOI: 10.1016/j.energy.2016.04.129
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    References listed on IDEAS

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    Cited by:

    1. Tsoutsanis, Elias & Meskin, Nader, 2017. "Derivative-driven window-based regression method for gas turbine performance prognostics," Energy, Elsevier, vol. 128(C), pages 302-311.
    2. Chandrasekharan, Sreepradha & Panda, Rames C. & Swaminathan, Bhuvaneswari Natrajan & Panda, Atanu, 2018. "Operational control of an integrated drum boiler of a coal fired thermal power plant," Energy, Elsevier, vol. 159(C), pages 977-987.
    3. Abedini Najafabadi, Hamed & Ozalp, Nesrin, 2018. "An advanced modeling and experimental study to improve temperature uniformity of a solar receiver," Energy, Elsevier, vol. 165(PB), pages 984-998.
    4. Li, Xiaolei & Xu, Ershu & Ma, Linrui & Song, Shuang & Xu, Li, 2019. "Modeling and dynamic simulation of a steam generation system for a parabolic trough solar power plant," Renewable Energy, Elsevier, vol. 132(C), pages 998-1017.
    5. Safiyullah, F. & Sulaiman, S.A. & Naz, M.Y. & Jasmani, M.S. & Ghazali, S.M.A., 2018. "Prediction on performance degradation and maintenance of centrifugal gas compressors using genetic programming," Energy, Elsevier, vol. 158(C), pages 485-494.
    6. Pires, Thiago S. & Cruz, Manuel E. & Colaço, Marcelo J. & Alves, Marco A.C., 2018. "Application of nonlinear multivariable model predictive control to transient operation of a gas turbine and NOX emissions reduction," Energy, Elsevier, vol. 149(C), pages 341-353.
    7. Oravec, Juraj & Bakošová, Monika & Galčíková, Lenka & Slávik, Michal & Horváthová, Michaela & Mészáros, Alajos, 2019. "Soft-constrained robust model predictive control of a plate heat exchanger: Experimental analysis," Energy, Elsevier, vol. 180(C), pages 303-314.
    8. Oravec, Juraj & Bakošová, Monika & Trafczynski, Marian & Vasičkaninová, Anna & Mészáros, Alajos & Markowski, Mariusz, 2018. "Robust model predictive control and PID control of shell-and-tube heat exchangers," Energy, Elsevier, vol. 159(C), pages 1-10.

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