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Control of Supercritical Organic Rankine Cycle based Waste Heat Recovery System Using Conventional and Fuzzy Self-tuned PID Controllers

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Abstract

This research develops a supercritical organic Rankine cycle (ORC) based waste heat recovery (WHR) system for control system simulation. In supercritical ORC-WHR systems, the evaporator is a main contributor to the thermal inertia of the system, which is greatly affected by transient heat sources during operation. In order to capture the thermal inertia of the system and reduce the computation time in the simulation process, a fuzzy-based dynamic evaporator model was developed and integrated with other component models to provide a complete dynamic ORC-WHR model. This paper presents two control strategies for the ORC-WHR system: evaporator temperature control and expander output control, and two control algorithms: a conventional PID controller and a fuzzy-based self-tuning PID controller. The performances of the proposed controllers are tested for set point tracking and disturbance rejection ability in the presence of steady and transient thermal input conditions. The robustness of the proposed controllers is investigated with respect to various operating conditions. The results show that the fuzzy self-tuning PID controller outperformed the conventional PID controller in terms of set point tracking and disturbance rejection ability at all conditions encountered in the paper.

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Author information

Authors and Affiliations

  1. School of Water, Energy and Environment, Cranfield University, Bedford, MK43 0AL, UK

    Jahedul Islam Chowdhury & Nazmiye Balta-Ozkan

  2. Department of Civil, Environmental and Geomatic Engineering, University College London, London, WC1E 6BT, UK

    Yukun Hu & Liz Varga

  3. School of Mechanical and Aerospace Engineering, Queens University Belfast, Belfast, BT9 5AH, UK

    David Thornhill

  4. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, S1 3JD, UK

    Payam Soulatiantork

  5. School of Engineering and Informatics, University of Sussex, Brighton, BN1 9QT, UK

    Bao Kha Nguyen

Authors
  1. Jahedul Islam Chowdhury
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  2. David Thornhill
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  3. Payam Soulatiantork
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  4. Yukun Hu
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  5. Nazmiye Balta-Ozkan
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  6. Liz Varga
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  7. Bao Kha Nguyen
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Correspondence to Bao Kha Nguyen.

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Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Associate Editor Huanqing Wang under the direction of Editor Euntai Kim. This work was supported by the Engineering and Physical Sciences Research Council (EPSRC, EP/P004636/1, UK).

Jahedul Islam Chowdhury received his Ph.D. degree in Mechanical Engineering from Queens University Belfast, UK in 2017. His research interests include low carbon heat, waste heat to energy conversion technologies, energy efficiency, renewable energy sources, modelling and control of nonlinear energy systems, and conventional and intelligent control.

David Thornhill received his Ph.D. degree in Mechanical Engineering from Queen’s University Belfast, UK in 1988. Since 1995 he has been an academic in the School of Mechanical & Aerospace Engineering at Queen’s University Belfast specializing in energy conserving research projects.

Payam Soulatiantork received his Ph.D. degree in Electrical Engineering from Polytechnic of Milan, Italy in 2016. His research interests include nonlinear control, SCADA system, adaptive control, industrial automation, real time control and monitoring.

Yukun Hu received his Ph.D. degree in Chemical Engineering from Royal Institute of Technology, Sweden, in 2013. His research interests include Energy process simulation, analysis, optimisation and control.

Nazmiye Balta-Ozkan received her Ph.D. degree in Regional Planning with specialisation on Environmental Economics from University of Illinois at Urbana- Champaign, USA in 2004. Her research interests include energy and environment, energy economics, energy policy and environmental impacts.

Liz Varga received her Ph.D. degree from Cranfield University, UK in 2009. Her research interests include trans-disciplinary infrastructure systems (energy, transport, water, waste and telecoms), agent based models, dynamics of interconnected systems, modelling the effects of policy, technology and innovation under different scenarios.

Bao Kha Nguyen received his Ph.D. degree in Mechatronics from University of Ulsan, Korea in 2007. His research interests include control systems, industrial automation, mechatronics, robotics, smart sensors and actuators, design and implementation of real time control systems for industrial applications using intelligent and advanced control algorithms.

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Chowdhury, J.I., Thornhill, D., Soulatiantork, P. et al. Control of Supercritical Organic Rankine Cycle based Waste Heat Recovery System Using Conventional and Fuzzy Self-tuned PID Controllers. Int. J. Control Autom. Syst. 17, 2969–2981 (2019). https://doi.org/10.1007/s12555-018-0766-6

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