Mixing characteristics of three-cylinder valve-controlled energy recovery device based on liquid piston

被引:0
|
作者
Sun, Zheng [1 ]
Chen, Zean [1 ]
Li, Weian [1 ]
Wang, Yue [2 ,3 ]
Yang, Jing [1 ]
机构
[1] Sanming Univ, Sch Resources & Chem Engn, Sanming 365004, Peoples R China
[2] Tianjin Univ, Chem Engn Res Ctr, Sch Chem Engn & Technol, Tianjin 300072, Peoples R China
[3] State Key Lab Chem Engn, Tianjin 300072, Peoples R China
关键词
Desalination; Energy; Recovery; Mixing; Liquid piston; CORE-HYDRAULIC-SYSTEM; NUMERICAL-SIMULATION; PRESSURE EXCHANGER; FLOW STRUCTURES; CONSUMPTION; DUCTS;
D O I
10.1016/j.cjche.2024.06.007
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The isobaric energy recovery device can significantly reduce the energy consumption of the seawater reverse osmosis system by recycling the residual pressure energy of high-pressure concentrated brine. Three-cylinder valve-controlled energy recovery device (TC-ERD) solves the fluid pulsation of traditional two-cylinder devices, but the use of a "liquid piston" exacerbates the mixing between brine and seawater. Herein, the evolutionary law of "liquid piston" and the relationship between volumetric mixing degree and operating conditions are explored. The results show that the "liquid piston" first axially expands and then gradually stabilizes, isolating the brine and seawater. Additionally, as long as the volume utilization ratio (U-R) of the pressure exchange cylinder remains constant, there will not be much difference in the volumetric mixing degree after stabilization of the "liquid piston" (Vm-max) regardless of changes in the processing capacity (Q) and cycle time (T-0). Therefore, the equation for Vm-max with respect to the operating parameters (Q, T-0) is derived, which can not only predict the Vm-max of the TC-ERD, but also provide an empirical reference for the design of other valve-controlled devices with "liquid piston". When the Vm-max is 6%, the efficiency of the TC-ERD at design conditions (30 m(3)<middle dot>h(-1), 5.0 MPa) is 97.53%. (c) 2024 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:83 / 91
页数:9
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