基于分析的氧化铝蒸发过程能耗优化

Energy consumption optimization for alumina evaporation process based on exergy analysis

为提高氧化铝蒸发过程能量利用率,在蒸发过程有效能()分析的基础上,建立了最大化利用率的能耗优化模型。针对优化模型紧约束条件的限制,提出了一种结合鲁棒函数和谷跳跃不可行解修正法的约束条件处理方法,弱化约束违反度大的解带来的不利影响,保留不可行解提供的有效信息。并采用一种具有涡旋拓扑结构的粒子群算法对优化模型进行有效求解。工业实例分析表明,优化模型可同时兼顾回收利用率和系统热力学完善程度,优化操作在保证产品产量及质量的条件下可有效提高能量利用率。

In order to improve energy consumption efficiency of alumina evaporation process（AEP）,an optimization model is built to maximize exergy utilization ratio.The objective is to minimize exergy loss rate and maximize target exergy efficiency.The constraints of the optimization model are handled by a type of robust function combined with a basin hopping based infeasible solution modification method.This decreases the influence of infeasible solutions,that is,those with a big degree of constraint violation,and preserves the information provided by infeasible solutions.A particle swarm optimization（PSO）algorithm with vortex topology is used to optimize the objective function effectively.Optimal results of a practical AEP show that the optimization model takes into account both exergy loss rate and system thermodynamic perfect degree,and optimization operation can improve energy efficiency and ensure the quality of solution.