Abstract
Abstract The paper reveals three applications of neural network predictive control (NNPC) to a system of four heat exchangers (HEs) in series with counterflow configuration to save energy expressed by cooling water in the system of HEs cooling the distillation product. Neural networks (NNs) are used at first in conventional NNPC and subsequently, neural network predictive controllers (NNPCLs) are employed as a master controller in a cascade control, and as a feedback controller in the control system with disturbance measurement. Neural-network-predictive-control-based (NNPC-based) feedback control systems are compared with PI controller based feedback control loop. Series of simulation experiments were done and the results showed that using NNPC-based cascade control reduced cooling water consumption. This control system also significantly reduced the settling time and overshoots in the control responses and provided the best assessed integral quality criteria compared to other control systems. NNPC-based cascade control can also be interesting for industrial use. Generally, simulation results proved that NNPC-based control systems are promising means for the improvement of HEs control and achievement of energy saving.
Highlights
In contemporary industrial and technological world characterized by increasing energy demands and energy prices, energy consumption and clean energy utilization belong to the most important global challenges
The aim of the research represented by results in this paper is to show that NNPCbased control systems are very attractive for heat exchangers (HEs) operation improvement as they provide higher energy efficiency, lower carbon footprint and cooling water savings
In neural network predictive control (NNPC), it is important to obtain a process model based on Neural networks (NNs) which is trained based on a prediction error representing the difference between the measured process output and the predicted neural network output (Soloway and Haley, 1996)
Summary
In contemporary industrial and technological world characterized by increasing energy demands and energy prices, energy consumption and clean energy utilization belong to the most important global challenges. NNPC of tubular HEs in series with counter current configuration was introduced by Vasičkaninová et al (2017), ensuring energy savings compared to PID control. Simulation results proved better closed-loop control performance and energy savings measured by hot water consumption for NNPC and RMPC over conventional PID control.
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