A Energy Optimization of Five-Effect Evaporation System Based on a PSO Algorithm

Abstract

In this paper, particle swarm optimization (PSO) algorithm is presented to optimize the five-effect evaporator system in a cane sugar production plants and realize the minimum loss of energy.Generally, the energy optimization of five-effect evaporator system is a so complex that can not be found a effective algrithm to resolve. The energy optimization of five-effect evaporator system requires considering various parameter criteria so as to meet the requirements of the production process. Hence, a energy optimization model of five-effect evaporator system is proposed. We tested the presented model and PSO algorithm at a cane sugar production plant in Guangxi province so as to support the application of industry.The results of the empirical study show that the energy optimization of five-effect evaporation in cane sugar production plants based on a PSO algorithm is feasible and effective.