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In this paper, the operating conditions of vehicle internal combustion engine (ICE) waste heat utilization system are monitored by improved support vector machines (SVMs). Organic Rankine Cycle (ORC) is used to recover the ICE waste heat. Several optimal approaches are employed when training SVMs. The improved SVMs are then employed to monitor the operating conditions of the ICE waste heat recovery...
The Organic Rankine Cycle (ORC) process is promised to significantly recycle the waste heat from medium and low temperature heat sources, achieve better performance to recover low grade waste heat than traditional waste heat recovery processes used in the industrial applications. An accurate ORC model is indispensable for the optimization and control of ORC systems. A new Radial Basis Function (RBF)...
In this paper, a multiple model predictive control (MMPC) strategy is applied into an organic Rankine cycle (ORC) based waste heat energy conversion system (WHECS). The rotating speed of the pump and the shaft torque of the expander are manipulated simultaneously to provide the optimal (suboptimal) evaporating pressure and superheating temperature for nonlinear WHECSs under different operating conditions...
Direct contact membrane distillation (DCMD) supplied with waste heat was demonstrated for water recovery from saline demineralisation regeneration waste. The pilot plant was located at a gas fired power station which provided the <40°C waste heat and wastewater to the DCMD system with 0.67m2 of membrane area. The trial was operated over three months without replacing the membranes or module and...
A minimum error entropy controller is developed for superheated vapour temperature control of a waste heat recovery process using Organic Rankine cycles (ORC). A nonlinear dynamic model is briefed for the ORC evaporator to capture the key dynamic characteristics of the process. Considering non-Gaussian disturbance terms, the control objective is proposed to minimize the combined entropy function and...
In this paper, the fault classification problem for waste heat recovery system based on support vector machine (SVM) is investigated. Firstly, two-class SVM classification algorithm is reviewed. Then the model and six kinds of faults in waste heat recovery systems (WHRSs) are briefly described. In order to effectively isolate these faults in WHRSs, key features are extracted using principal component...
The Organic Rankine Cycle (ORC) has attracted a lot of interests for its ability to recover low-grade heat and the possibility to be implemented in decentralized low-capacity power plants. In this paper, a new optimal temperature control method is proposed for ORC systems with non-Gaussian disturbances which influence the quality of exhaust gas. The objective here is to control the speed of the pump...
Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, based on robust theory, a multivariable robust controller was designed for an ORC system. This simple-structured and easy-to-realized controller does not require a precise math model. The integral action included in it compensates unknown factors of the plant. The simulation...
Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance.
In this paper, a multivariable control system is designed for organic Rankine cycle (ORC) power plants. The established dynamic model can be employed to design controller for ORC power plants. A multivariable control algorithm is proposed for the ORC power plant by combining linear quadratic regulator with PI controller. Simulation results demonstrate that the presented control strategy can obtain...
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