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Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control

Author

Listed:
  • Andres Hernandez

    (Department of Electrical Energy, Systems and Automation, Ghent University, 9000 Ghent, Belgium
    Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium)

  • Adriano Desideri

    (Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium)

  • Clara Ionescu

    (Department of Electrical Energy, Systems and Automation, Ghent University, 9000 Ghent, Belgium)

  • Robin De Keyser

    (Department of Electrical Energy, Systems and Automation, Ghent University, 9000 Ghent, Belgium)

  • Vincent Lemort

    (Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium)

  • Sylvain Quoilin

    (Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium)

Abstract

In this paper, the optimal operation of a stationary sub-critical 11 kW el organic Rankine cycle (ORC) unit for waste heat recovery (WHR) applications is investigated, both in terms of energy production and safety conditions. Simulation results of a validated dynamic model of the ORC power unit are used to derive a correlation for the evaporating temperature, which maximizes the power generation for a range of operating conditions. This idea is further extended using a perturbation-based extremum seeking (ES) algorithm to identify online the optimal evaporating temperature. Regarding safety conditions, we propose the use of the extended prediction self-adaptive control (EPSAC) approach to constrained model predictive control (MPC). Since it uses input/output models for prediction, it avoids the need for state estimators, making it a suitable tool for industrial applications. The performance of the proposed control strategy is compared to PID-like schemes. Results show that EPSAC-MPC is a more effective control strategy, as it allows a safer and more efficient operation of the ORC unit, as it can handle constraints in a natural way, operating close to the boundary conditions where power generation is maximized.

Suggested Citation

  • Andres Hernandez & Adriano Desideri & Clara Ionescu & Robin De Keyser & Vincent Lemort & Sylvain Quoilin, 2016. "Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control," Energies, MDPI, vol. 9(5), pages 1-18, May.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:334-:d:69379
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    References listed on IDEAS

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    1. Desideri, Adriano & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Experimental comparison of organic fluids for low temperature ORC (organic Rankine cycle) systems for waste heat recovery applications," Energy, Elsevier, vol. 97(C), pages 460-469.
    2. Maraver, Daniel & Royo, Javier & Lemort, Vincent & Quoilin, Sylvain, 2014. "Systematic optimization of subcritical and transcritical organic Rankine cycles (ORCs) constrained by technical parameters in multiple applications," Applied Energy, Elsevier, vol. 117(C), pages 11-29.
    3. Adriano Desideri & Bertrand Dechesne & Jorrit Wronski & Martijn Van den Broek & Sergei Gusev & Vincent Lemort & Sylvain Quoilin, 2016. "Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language," Energies, MDPI, vol. 9(5), pages 1-18, May.
    4. Quoilin, Sylvain & Aumann, Richard & Grill, Andreas & Schuster, Andreas & Lemort, Vincent & Spliethoff, Hartmut, 2011. "Dynamic modeling and optimal control strategy of waste heat recovery Organic Rankine Cycles," Applied Energy, Elsevier, vol. 88(6), pages 2183-2190, June.
    5. Kai Yang & Hongguang Zhang & Songsong Song & Fubin Yang & Hao Liu & Guangyao Zhao & Jian Zhang & Baofeng Yao, 2014. "Effects of Degree of Superheat on the Running Performance of an Organic Rankine Cycle (ORC) Waste Heat Recovery System for Diesel Engines under Various Operating Conditions," Energies, MDPI, vol. 7(4), pages 1-23, April.
    6. Singh, Rajinesh & Kearney, Michael P. & Manzie, Chris, 2013. "Extremum-seeking control of a supercritical carbon-dioxide closed Brayton cycle in a direct-heated solar thermal power plant," Energy, Elsevier, vol. 60(C), pages 380-387.
    7. Quoilin, Sylvain & Broek, Martijn Van Den & Declaye, Sébastien & Dewallef, Pierre & Lemort, Vincent, 2013. "Techno-economic survey of Organic Rankine Cycle (ORC) systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 168-186.
    8. Zhang, Jianhua & Zhou, Yeli & Li, Ying & Hou, Guolian & Fang, Fang, 2013. "Generalized predictive control applied in waste heat recovery power plants," Applied Energy, Elsevier, vol. 102(C), pages 320-326.
    9. Emanuel Feru & Frank Willems & Bram De Jager & Maarten Steinbuch, 2014. "Modeling and Control of a Parallel Waste Heat Recovery System for Euro-VI Heavy-Duty Diesel Engines," Energies, MDPI, vol. 7(10), pages 1-22, October.
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    Cited by:

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    2. 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.
    3. Li, Xiaoya & Xu, Bin & Tian, Hua & Shu, Gequn, 2021. "Towards a novel holistic design of organic Rankine cycle (ORC) systems operating under heat source fluctuations and intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    4. Desideri, Adriano & Hernandez, Andres & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Steady-state and dynamic validation of a small-scale waste heat recovery system using the ThermoCycle Modelica library," Energy, Elsevier, vol. 115(P1), pages 684-696.
    5. Marchionni, Matteo & Bianchi, Giuseppe & Karvountzis-Kontakiotis, Apostolos & Pesyridis, Apostolos & Tassou, Savvas A., 2018. "An appraisal of proportional integral control strategies for small scale waste heat to power conversion units based on Organic Rankine Cycles," Energy, Elsevier, vol. 163(C), pages 1062-1076.
    6. Hernandez, Andres & Desideri, Adriano & Gusev, Sergei & Ionescu, Clara M. & Den Broek, Martijn Van & Quoilin, Sylvain & Lemort, Vincent & De Keyser, Robin, 2017. "Design and experimental validation of an adaptive control law to maximize the power generation of a small-scale waste heat recovery system," Applied Energy, Elsevier, vol. 203(C), pages 549-559.
    7. Wu, Xialai & Chen, Junghui & Xie, Lei, 2019. "Fast economic nonlinear model predictive control strategy of Organic Rankine Cycle for waste heat recovery: Simulation-based studies," Energy, Elsevier, vol. 180(C), pages 520-534.
    8. Wu, Xialai & Chen, Junghui & Xie, Lei, 2018. "Integrated operation design and control of Organic Rankine Cycle systems with disturbances," Energy, Elsevier, vol. 163(C), pages 115-129.
    9. Pallis, Platon & Varvagiannis, Efstratios & Braimakis, Konstantinos & Roumpedakis, Tryfonas & Leontaritis, Aris - Dimitrios & Karellas, Sotirios, 2021. "Development, experimental testing and techno-economic assessment of a fully automated marine organic rankine cycle prototype for jacket cooling water heat recovery," Energy, Elsevier, vol. 228(C).
    10. 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).
    11. Xu, Bin & Rathod, Dhruvang & Yebi, Adamu & Filipi, Zoran & Onori, Simona & Hoffman, Mark, 2019. "A comprehensive review of organic rankine cycle waste heat recovery systems in heavy-duty diesel engine applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 145-170.

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