Modelling and Control of Organic Rankine Cycle Based Waste Heat Recovery Systems

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Modelling and Control of Organic Rankine Cycle Based Waste Heat Recovery Systems is a systematic study of modeling and control of ORC-based systems for waste heat recovery, bringing together rapidly developing research in this area. The organic Rankine cycle (ORC) is now commonly accepted as a viable technology to convert low grade heat in the thermal power plant, the diesel engine and the fuel cell. In response to limited reserves, increases in cost and the environmental impact of fossil fuels, the cumulative global capacity of ORC power systems for the conversion of renewable and waste thermal energy is undergoing rapid growth. Recovery utilization for low-grade heat energy has become one of the important energy-saving methods. In addition, technological advancements and cost reduction allow for competitive organic Rankine cycle machines on the market.

Chapter 1 introduces the current status of organic Rankine cycle systems and reviews advances and challenges in organic Rankine cycle (ORC) systems modeling and control strategies. Chapter 2 presents the configuration of ORC power systems, analyzes the performance of ORC systems and summarizes their features, including both the operating modes and control objectives of ORC systems. Chapter 3 establishes the physical model for ORC power systems after building basic component models (evaporator, condenser, expander, receiver and pump). The model of an ORC power system is identified using input/output data.

Chapter 4 designs controllers for ORC power systems operating on both, following electric power mode and waste heat mode respectively, using optimized set-points of controlled ORC power systems. Chapter 5 focuses on using simulation tools for building development systems that experimentally validate the physical model and control strategies of ORC power systems. Engineers and professionals, as well as recent graduates in the power generation industry will find this a valuable reference.



  • Covers all of the topics related to both modeling and controller design for organic Rankine cycle systems
  • Focuses on the approaches for creating mathematical models and controlling for the ORC systems
  • Illustrates clearly the multi-disciplinary nature of the subject
  • Includes an appendix of MATLAB/Simulink code for modeling and controlling ORC
1. Introduction
2. Organic Rankine cycle power systems
3. Modelling of organic Rankine cycle power systems
4. Controller design for organic Rankine cycle power systems
5. Simulation of  organic Rankine cycle power systems
6. General conclusion

Professionals, Academia and Researchers working in modelling and control methods of ORC.

Dr. Zhang received her PhD degree from Beijing University of Aeronautics and Astronautics in 1996. She is currently a Professor in the School of Control and Computer Engineering at North China Electric Power University, Beijing, China. Her research interests include the areas of waste heat recovery, stochastic control, networked control systems, fault diagnosis and process control. She published the book “Control and filtering of non-Gaussian systems” in 2016 and translated the book “Network Basics” in 2003, as well as a book chapter on an “English, Russian, and Chinese Dictionary of Electric Power” in 1999. She has published over 140 peer viewed papers in international journals and conferences.
Dr. Xu received his Ph.D. degree from Xian Jiaotong University, China, in 1995. He is currently a Professor at the School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing, China. His research interests cover energy saving of large thermal power generating set, renewable energy thermal physics, advanced nuclear energy system thermal physics, scale-flow and heat-transfer of micro-nano and other research directions. He was selected into the Hundred Talents Program of the Chinese Academy of Sciences in 2002 and was awarded by the National Science Fund for Distinguished Young Scholars (NSFDYS) in 2008.