MVR分质提盐系统多目标优化设计
Multi-objective Optimization Design for MVR Salt Fractionation System
张子惠 1姜华 1宫武旗2
作者信息
- 1. 西安科技大学能源学院,西安 710054
- 2. 西安交通大学能源与动力工程学院,西安 710049
- 折叠
摘要
针对机械蒸汽再压缩分质提盐系统单一优化目标难以满足实际生产需求的问题,采用强度Pareto进化算法2(SPEA2)对系统进行多目标优化设计.基于系统中各操作变量对整体性能的影响,以系统总换热面积和总功耗为优化目标函数,选取压缩温升和蒸发温度为优化变量,建立了多目标优化模型.引入SPEA2算法对优化变量取值进行寻优,并结合工程模糊集合理论确定出最优组合解.对比优化前后系统整体性能,结果表明:相同设计工况下,总换热面积减小了 77.86 m2,总功耗降低了16.45 kW,效能系数(COP)提升8.32％,单位能耗降低5.35％,㶲效率提高9.63％,㶲损失降低4.31％,表明优化后进一步提升了机械蒸汽再压缩分质提盐系统的节能效果和热力学完善度.
Abstract
To solve the problem that single-objective optimization of the mechanical vapor re-compression salt fractionation system is difficult to meet the practical production requirement,the strength pareto evolutionary algorithm 2(SPEA2)was adopted for multi-objective optimization de-sign of the system.Based on the effect of operating variables on the comprehensive performance of the system,a multi-objective optimization model was established,where total heat transfer area and total power consumption were taken as the optimization objectives and compression tempera-ture rise and evaporation temperature were taken as the optimization variables.The multi-objective optimization model was solved by SPEA2,and the optimal solution combination was determined based on engineering fuzzy set theory.The results show that the total heat transfer area is re-duced by 77.86 m2,and the total power consumption is lowered by 16.45 kW.The coefficient of performance(COP)is increased by 8.32％,and the unit power consumption is decreased by 5.35％.Meanwhile,the exergy efficiency is heightened by 9.63％,and the exergy loss is lowered by 4.31％.It indicates that the multi-objective optimization design further improves the energy-saving efficiency and thermodynamic perfection of the MVR salt fractionation system.
关键词
机械蒸汽再压缩/多目标优化/SPEA2算法/Pareto最优前沿Key words
mechanical vapor recompression(MVR)/multi-objective optimization/SPEA2 algo-rithm/Pareto optimal front引用本文复制引用
基金项目
国家科技重大专项(2017-V-0012-0064)
国家重点研发计划(2018YFB0606104)
出版年
2024
NETL
NSTL
万方数据