机械蒸汽再压缩蒸发结晶系统优化设计

张子尧 1; 姜华 1; 宫武旗 2

doi:10.7652/xjtuxb202004013

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机械蒸汽再压缩蒸发结晶系统优化设计

更新时间：2025-07-09

- 机械蒸汽再压缩蒸发结晶系统优化设计
- Optimi-ation Design for Mechanical Vapor Recompression Evaporation Crystalli-ation System
- 西安交通大学学报 2020年54卷第4期页码：101-109
- 作者机构：
  
  西安科技大学能源学院,西安,710054
- 作者简介：
- 基金信息：
  
  : 2019-07-15。作者简介: 张子尧(1995-),女,硕士生;姜华(通信作者),女,博士,副教授。基金项目: 国家重点研发计划资助项目(2018YFB0606104)
- DOI：10.7652/xjtuxb202004013
  中图分类号： TQ021.8
- 网络首发：2020-04-10，
  
  纸质出版：2020
- 稿件说明：
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张子尧 1, 姜华 1, 宫武旗 2. 机械蒸汽再压缩蒸发结晶系统优化设计[J]. 西安交通大学学报, 2020,54(4):101-109.

Optimi-ation Design for Mechanical Vapor Recompression Evaporation Crystalli-ation System[J]. 2020, 54(4): 101-109.
张子尧 1, 姜华 1, 宫武旗 2. 机械蒸汽再压缩蒸发结晶系统优化设计[J]. 西安交通大学学报, 2020,54(4):101-109. DOI： 10.7652/xjtuxb202004013.

Optimi-ation Design for Mechanical Vapor Recompression Evaporation Crystalli-ation System[J]. 2020, 54(4): 101-109. DOI： 10.7652/xjtuxb202004013.

摘要

为使机械蒸汽再压缩(MVR)并联双效蒸发结晶系统在满足生产要求的同时性能达到最优

提出基于强度Pareto进化算法2(SPEA2)的系统优化设计方法

进一步挖掘系统的节能潜力。对于既定的系统工艺流程

通过分析操作变量对系统性能的影响规律

建立了优化问题的数学模型

并加以质量和能量平衡的约束条件; 以系统总功耗最低和总换热面积最小为优化目标

利用SPEA2多目标进化算法对操作变量取值进行寻优计算

在模糊集合理论支撑下得到蒸发温度和压缩温升的最优组合解。结果表明:在相同设计任务条件下

系统总功耗降低了22.1 kW

总换热面积减少了31.2 m

效能系数值提高7.94%

效率提升5.91%

损失减小38.4 kW

说明采用基于SPEA2算法的优化设计方法

能够提高机械蒸汽再压缩并联双效蒸发结晶系统的能量利用率及热力学完善程度。

Abstract

To optimi-e the performance of the parallel-connected double-effect mechanical vapor recompression(MVR)evaporation crystalli-ation system while meeting production requirements

a method for optimi-ation design of the system based on the strength Pareto evolution algorithm(SPEA2)was proposed to further exploit the energy saving potential of the system. A mathematical model of the optimi-ation problem was established by analy-ing the effects of the operating variables on the system performance

and the constraints of mass and energy balances of the model were also imposed. The mathematical model was calculated by SPEA2 multi-objective evolutionary algorithm

where the minimi-ation of total power consumption and heat transfer area was taken as the optimi-ation object

and the optimal combination of evaporation temperature and compression temperature rise was obtained following the fu--y set theory. The results show that the total power consumption of the system is lowered by 22.1 kW and t

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