Closed-Loop PI Control of an Organic Rankine Cycle for Engine Exhaust Heat Recovery

Zhang, Wen; Wang, Enhua; Meng, Fei; Zhang, Fujun; Zhao, Changlu

doi:10.3390/en13153817

Cited by 13 publications

(6 citation statements)

References 36 publications

(40 reference statements)

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“…A control method combining closed-loop proportionalintegral and feedforward control is adopted, and the response time and overshoot of PI control are estimated and compared with feedforward control alone. The results show that the closed-loop system can enhance the stability of the input and output of the control system [5]. The results based on the World Harmonized Transient Cycle (WHTC) show that the designed closed-loop PI control has a shorter response time and better tracking ability in dynamic processes.…”

Section: A Literature Reviewmentioning

confidence: 98%

Research on Intelligent Adaptive Control Method for Waste Heat Power Generation Stability Problem

Xiao

Zhang²,

Zhang

et al. 2022

IEEE Access

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The effective recovery and utilization of waste heat is an important part of the energy industry chain, but the gas source of waste heat has large fluctuations and strong random frequency changes, which easily affects the quality of power generation. In order to obtain more continuous and stable electricity in the process of waste heat power generation, this paper proposes an intelligent adaptive control method. This control method decouples the variables for the characteristics of strong coupling of the waste heat power generation system, which improves the anti-disturbance performance of the system on the one hand and reduces the steady-state tracking error of the system on the other hand. Experiments show that when the gas source fluctuates, the system fluctuation rate is stable within 7%; when the set value changes, the adjustment time is within 7 s, and the overshoot is small, so the performance is better than the traditional PID control method. The intelligent adaptive control method proposed in this paper is of great significance for the future development of intelligent grid-connected power generation.

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Section: A Literature Reviewmentioning

confidence: 98%

Research on Intelligent Adaptive Control Method for Waste Heat Power Generation Stability Problem

Xiao

Zhang²,

Zhang

et al. 2022

IEEE Access

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“…Wen Zhang et al adopted a closed-loop PI control method in an internal combustion engine waste heat recovery system. The results of the world coordinated transition cycle (WHTC) showed that closed-loop PI control had a short response time and good tracking ability in the dynamic process [11]. Artificial neural networks and genetic algorithms also have shown outstanding performance in practice.…”

Section: B Literature Reviewmentioning

confidence: 99%

Research on Algorithm Fusion for the Control of a Roots-Type Waste Heat Power Generation System

et al. 2021

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At present, the recovery of low-quality waste heat is a major problem in energy utilization. To solve this problem and improve energy efficiency, this research group designed a low-quality waste heat power generation device with a roots-type power machine as the core component. However, the power generation device produces a large hysteresis in power generation regulation. While the hardware can be improved, the design of the measurement and control system is also critical. In view of the problems existing in low-quality waste heat power generation devices, this research group introduced an internal model controller into the control system and designed an internal model controller and filter through the analysis of each module. In addition, to improve the performance of the controller, this research group applied the deep learning method to optimize the control system and used the prediction function of the deep learning method to further improve the stability of the device. The simulation and experimental results show that the control strategy can make this device for the recovery of low-quality waste heat respond quickly to fluctuations in the gas source and improve the hysteresis problem. INDEX TERMSDeep Learning, Internal model control, Low-quality waste heat, Root-type power machine, Waste heat power generation

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“…Before the working fluid is pumped into the evaporator, it is condensed from vapor to liquid in a condenser. The parameters of the components in the system considered in this study are described in paper [11].…”

Section: System Descriptionmentioning

confidence: 99%

“…The nature of heat source in ICEs is transient and an improved control strategy is desired for reliable operation. Zhang et al [11] investigated the control strategy for ORCs in vehicles and designed an improved closed-loop proportional-integral control to regulate the operation. Their results indicated that the proposed control mechanism successfully reduced the response time and improved the output power by 3.23%.…”

Section: Introductionmentioning

confidence: 99%

Waste Heat Recovery from Diesel Engine Exhaust Using a Single-Screw Expander Organic Rankine Cycle System: Experimental Investigation of Exergy Destruction

et al. 2020

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The organic Rankine cycle is a mature small-scale power generation technology for harnessing low- to mid-temperature heat sources. However, the low efficiency of the cycle still hinders its widespread implementation. To optimize the cycle’s performance, it is crucial to identify the source and magnitude of losses within each component of the cycle. This study, thus, aims to investigate the irreversible losses and their effect on the performance of the system. A prototype organic Rankine cycle (ORC) with the exhaust of a diesel engine as the heat source was developed to experimentally investigate the system and ascertain the losses. The experiments were performed at steady-state conditions at different evaporation pressures from 1300 kPa to 1600 kPa. The exergy loss and exergetic efficiency of the individual component and the overall system was estimated from the experimentally measurement of the pressure, temperature, and mass flow rate. The results indicate that the exergy losses of the evaporator are almost 60 kW at different evaporation pressures and the exergy loss rate is from 69.1% to 65.1%, which accounted for most of the total exergy loss rate in the organic Rankine cycle system. Meanwhile, the highest shaft efficiency and exergetic efficiency of the screw expander are 49.8% and 38.4%, respectively, and the exergy losses and exergy loss rate of the pump and pipe are less than 0.5 kW and 1%. Due to the relatively higher exergy loss of the evaporator and the low efficiency of expander, the highest exergetic efficiency of the organic Rankine cycle system is about 10.8%. The study concludes that the maximum improvement potential lies in the evaporator, followed by the expander.

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Closed-Loop PI Control of an Organic Rankine Cycle for Engine Exhaust Heat Recovery

Cited by 13 publications

References 36 publications

Research on Intelligent Adaptive Control Method for Waste Heat Power Generation Stability Problem

Research on Intelligent Adaptive Control Method for Waste Heat Power Generation Stability Problem

Research on Algorithm Fusion for the Control of a Roots-Type Waste Heat Power Generation System

Waste Heat Recovery from Diesel Engine Exhaust Using a Single-Screw Expander Organic Rankine Cycle System: Experimental Investigation of Exergy Destruction

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