Abstract

In this paper, modelling, simulation and control of water desalination plant is presented. The desalination plant is based on vapour compression method acquired utilizing a liquid jet ejector. Nonlinear steady-state model is developed in order to verify simplified dynamic model for control purposes. Furthermore, to design PI controller capable of guiding the system through desired states under the influence of disturbances, the linearized model of the plant has been developed and verified applying the nonlinear dynamical model. It is shown that presented approach can deliver satisfying model and tracking results.

Highlights

  • Many methods for desalination have been developed, such as reverse osmosis (RO), vapour compression, distillation and electro-dialysis

  • This paper has a goal to show an approach to simulation and control of the desalination plant based on a vapour compression with a liquid jet vacuum ejector

  • In order to tune Proportional Integral (PI) controller gains the linear model around operational point is necessary

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Summary

INTRODUCTION

Many methods for desalination have been developed, such as reverse osmosis (RO), vapour compression, distillation and electro-dialysis. Significant improvements in the technology of desalination are not observed in the last period, so more and more attention is paid to the optimization of thermodynamic parameters of the existing cycle to obtain lower investment, operational costs and less impact on the environment [2] and [3]. Significant work in modeling of thermal vapour compression desalination plants with ejector is done in [6] and [7]. This paper has a goal to show an approach to simulation and control of the desalination plant based on a vapour compression with a liquid jet vacuum ejector. For control purposes, dynamical model of the plant has been developed and linearized around chosen operating point. According to the derived dynamic model of the plant, and further model linearization, the PI controller is tuned

INSTALATION DESCRIPTION AND PROBLEM STATEMENT
Modelling
Simulation results
Linearization
Control law
SIMULATION RESULTS
CONCLUSION
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