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Control structure design and dynamics modelling of the organic Rankine cycle system

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  • Jolevski, Danijel
  • Bego, Ozren
  • Sarajcev, Petar

Abstract

In this paper, the control structure for the organic Rankine cycle (ORC) system is proposed. This control structure is derived by using the state space model of the overall ORC system. The state space model is obtained from nonlinear equations of elements of ORC which are given and described. Because ORC is a multiple-input and multiple-output (MIMO) process, a loop pairing with minimum interactions is needed to be determined to obtain the optimal control structure. To make the best loop pairing decisions and to analyse the interactions of ORC, the non-square relative gain array (NRGA) and dynamic non-square relative gain array (DNRGA) methods are used. Approximated transfer functions are derived from Bode diagrams which are given by using definitions of DNRGA method. These transfer functions are used to get the optimal parameters of the control structure. The proposed control structure uses proportional and integral (PI) linear controllers. A given control performance of the proposed control structure is shown and analysed in a simulation.

Suggested Citation

  • Jolevski, Danijel & Bego, Ozren & Sarajcev, Petar, 2017. "Control structure design and dynamics modelling of the organic Rankine cycle system," Energy, Elsevier, vol. 121(C), pages 193-204.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:193-204
    DOI: 10.1016/j.energy.2017.01.007
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    2. Huster, Wolfgang R. & Vaupel, Yannic & Mhamdi, Adel & Mitsos, Alexander, 2018. "Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck," Energy, Elsevier, vol. 151(C), pages 647-661.
    3. Vaupel, Yannic & Huster, Wolfgang R. & Holtorf, Flemming & Mhamdi, Adel & Mitsos, Alexander, 2019. "Analysis and improvement of dynamic heat exchanger models for nominal and start-up operation," Energy, Elsevier, vol. 169(C), pages 1191-1201.
    4. Yuhao Zhou & Jiongming Ruan & Guotong Hong & Zheng Miao, 2022. "Dynamic Modeling and Comparison Study of Control Strategies of a Small-Scale Organic Rankine Cycle," Energies, MDPI, vol. 15(15), pages 1-21, July.
    5. Wang, Xuan & Shu, Gequn & Tian, Hua & Liu, Peng & Jing, Dongzhan & Li, Xiaoya, 2018. "The effects of design parameters on the dynamic behavior of organic ranking cycle for the engine waste heat recovery," Energy, Elsevier, vol. 147(C), pages 440-450.
    6. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    7. Ma, Xiaofeng & Jiang, Peixue & Zhu, Yinhai, 2022. "Dynamic simulation model with virtual interfaces of supercritical working fluid heat exchanger based on moving boundary method," Energy, Elsevier, vol. 254(PB).

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