Thermodynamic analysis of internally-cooled membrane-based liquid desiccant dehumidifiers of different flow types

Thermodynamic analysis of internally-cooled membrane-based liquid desiccant dehumidifiers of different flow types
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不同流型内冷膜式液体除湿机的热力学分析

DOI:
10.1016/j.ijheatmasstransfer.2020.120802
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发表时间:
2021-02
影响因子:
5.2
通讯作者:
Yao Ye
Yao Ye
中科院分区:
工程技术2区
文献类型:
--
作者:
Li Wei;Yao Ye

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内冷式膜基液体干燥剂除湿机(IMLDD)可以很好地缓解由于干燥剂溶液温度升高而导致的除湿恶化。在IMLDD中,空气通道和干燥剂溶液通道在半透膜的两侧分开。冷却介质流经溶液通道内的管道以降低干燥剂溶液温度。存在多种流体流动模式(空气、干燥剂溶液和冷却水),这些流动模式已被证明对IMLDD的性能有显着影响。因此,为了找到IMLDD的最佳流动类型和运行条件,建立了IMLDD的数学模型并进行了实验验证,并首先采用火用和火积理论分析了入口参数对各种流动类型的IMLDD性能的影响。结果表明,空气与溶液逆流布置、溶液与冷却水并流布置的除湿性能最佳。随着进风含湿比和溶液浓度的增加,除湿效率与火用效率的变化趋势相反。入口冷却水温度的升高提高了火用效率,但相应地降低了除湿效率。本文的研究有助于IMLDD的设计和优化。
Internally-cooled membrane-based liquid desiccant dehumidifier (IMLDD) can well alleviate the dehumidification deterioration due to the increase of desiccant solution temperature. In the IMLDD, air channels and desiccant solution channels are separated on both sides of semi-permeable membrane. Cooling media flows through tubes inside solution channels to reduce desiccant solution temperature. There exist many flow patterns of fluids (air, desiccant solution and cooling water), which have been proved to have significant effects on the performance of IMLDD. Therefore, to find the optimal flow type of IMLDD and operating conditions, the mathematical model for IMLDD was developed and validated experimentally, and the exergy and entransy theories were first adopted to analyze the effects of inlet parameters on the performance of IMLDD of various flow types. The results showed that counter flow arrangement between air and solution and parallel flow arrangement between solution and cooling water had the best dehumidification performance. The trend of dehumidification efficiency was opposite to exergy efficiency with the increase of inlet air humidity ratio and solution concentration. The increase of inlet cooling water temperature improved exergy efficiency but decreased dehumidification efficiency accordingly. The research of this paper is helpful for the design and optimization of IMLDD.
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