Model Predictive Control of a Double Effect Evaporator Via Simulation
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Abstract
This paper is a study of the dynamic behavior of the double effect evaporator on the basis of energy and material balance under unsteady state conditions inside the evaporator. The simulation process was based on a model for the intensification of tomato juice. The mathematical model was used to study the effect of operational conditions, namely, the temperature of the feed, the flow rate of the feed, and the feed concentration. The dynamic behavior of the open system was studied by measuring the temperature response of the evaporators to the change of the staging function in the temperature of the feed, the feed flow rate and the feed concentration in the rate of (±10%, ±20%).The proportional-integral-derivative and model predictive controllers were applied to solve the difficult problem by determining the best operational conditions and avoid a sharp increase in temperature. Two methods are tested to control a wide range of operating conditions and simulation results show that there is good accuracy. The MPC controller is more accurate than the PID control and faster to reach the constant value.
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References
Pabasara. Difference Between Evaporation and Distillation. Pediaa 2017.
McCabe W L, Smith J C and Harriott, P. Unit operations of chemical engineering. Volume 5, New York, McGraw-hill, 1993, 154.
Stefanov Z I and Hoo, K A. Distributed parameter model of black liquor falling-film evaporators. Industrial & engineering chemistry research, Volume 43, No. 25, 2004, 8117-8132. [4] Kaya D. and Sarac H I. Mathematical modeling of multiple-effect evaporators and energy economy. Energy, Volume 32, No. 8, 2007, 1536-1542. [5] Mohanty B and Khanam S .Development of an efficient linear model for the analysis of multiple effect evaporator system. International conference on advances in energy research(ICAER), IIT Bombay, Mumbai, Maharastra, 2007, 724-730.
Khademi M H, Rahimpour, M R and Jahanmiri, A. Simulation and optimization of a six-effect evaporator in a desalination process. Chemical Engineering and Processing Process Intensification, Volume 48, No. 1, 2009, 339-347.
Smith P D. Control and optimization of a multiple-effect evaporator, Doctoral dissertation, University of Cape Town, 2000.
Pan D and Ning, C. Mechanism Modeling and Nonlinear Model Adaptive-Predictive Control of Multiple Evaporators System in Sugar Mill. International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), IEEE, 2019, 528-532.
Yadav P and Jana A K .Simulation and control of a commercial double effect evaporator: tomato juice. Chemical Product and Process Modeling, Volume 5, No. 1, 2010.
Runyon C H Rumsey T R and McCarthy K L. Dynamic simulation of a nonlinear model of a double effect evaporator. Journal of food engineering, Volume 14, No. 3, 1991, 185-201.
Miranda V and Simpson R . Modelling and simulation of an industrial multiple effect evaporator: tomato concentrate. Journal of Food Engineering, Volume 66, No. 2, 2005, 203-210.