机械蒸汽再压缩系统性能分析与运行策略优化  

Performance analysis and operation strategy optimization of mechanical vapor recompression system

作　　者：杨智博 魏兵[1] YANG Zhibo;WEI Bing

机构地区：[1]华北电力大学动力工程与机械学院,北京102206

出　　处：《节能》2024年第10期56-59,共4页Energy Conservation

基　　金：华北电力大学重大科研项目(项目编号:KH210104883)。

摘　　要：为了降低能耗,对机械蒸汽再压缩系统(MVR)进行优化研究,利用Matlab软件建立MVR系统的LiBr溶液再生的稳态模型,通过改变蒸发压力、流量和压缩比等参数,分析不同参数对系统单位质量能耗(SEC)的影响。结果表明,蒸发器换热量是影响该系统SEC的决定性因素;利用改进的遗传算法,确定相应工况下的最小SEC。在再生溶液浓度为10%,蒸发速率为3 kg/s,产出溶液浓度为45%的情况下,SEC降低了36%.In order to reduce energy consumption,an optimization study was conducted on the mechanical vapor recompression system(MVR).A steady-state model of LiBr solution regeneration in the MVR system was established using Matlab software.By changing parameters such as evaporation pressure,flow rate,and compression ratio,the influence of different parameters on the unit mass energy consumption(SEC) of the system was analyzed.The results indicate that the heat transfer of the evaporator is the decisive factor affecting the SEC of the system.Using an improved genetic algorithm,determine the minimum SEC under the corresponding operating conditions.At an evaporation rate of 3 kg/s,SEC decreased by 36%.

关 键 词：机械蒸汽再压缩 热力模型 降膜蒸发器 溶液除湿 遗传算法 

分 类 号：TH45[机械工程—机械制造及自动化]