Study on the optimal circulation structure of liquid desiccant dehumidification system based on composite model

Zhang, Guangkai; Xie, Jingchao; Du, Boyao; Liu, Honggang; Wang, Jianping; Liu, Jiaping

doi:10.1016/j.jobe.2023.106903

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…The process and definition of solution recirculation refer to Zhang's [9] modeling process and are defined as follows.…”

Section: Solution Recirculation Ratiomentioning

confidence: 99%

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Analysis of influence of concentration difference in solution dehumidification system based on solution recirculation structure

Zhang,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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In a liquid desiccant dehumidification system, the setting of solution recirculation can enable the reuse of a portion of the solution, resulting in good dehumidification and energy-saving effects. The concentration difference between the concentrated and dilute solutions determines the dehumidification effect when the system is in equilibrium. Therefore, the influence of different dehumidification-regeneration solution recirculation ratios (Cs,deh, Cs,reg) on the equilibrium concentration difference of the system is crucial, but there is still a certain gap in this area of research. To fill this gap, this paper constructs a liquid desiccant dehumidification system with a solution recirculation structure. Based on the characteristics of the recirculation structure, solution recirculation is divided into three models: DR model -only dehumidification solution recirculation (Cs,reg =0), RR model -only regeneration solution recirculation (Cs,deh =0), and DRR model -simultaneous setting of dehumidification-regeneration solution recirculation. A mathematical model is established to parameterize the equilibrium concentration difference and COP of the system. The results show that compared with the single-cycle model (NR model: Cs,deh= Cs,reg =0) of traditional liquid desiccant dehumidification systems, setting up a solution recirculation structure can significantly improve the COP of the system: The maximum COP under DR model, RR model and DRR model are 6.6 times, 7.0 times and 12.1 times that of NR model respectively.

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“…The process and definition of solution recirculation refer to Zhang's [9] modeling process and are defined as follows.…”

Section: Solution Recirculation Ratiomentioning

confidence: 99%

“…This study employs the following equations to calculate the evaluation indicators of the system based on the concentration difference (Δξ) and coefficient of performance (COP). (8) Ignoring the energy consumption of pumps and fans: (9) The calculation equations for Qdeh and Qreg are as follows.…”

Section: Evaluation Indicatorsmentioning

confidence: 99%

Analysis of influence of concentration difference in solution dehumidification system based on solution recirculation structure

Zhang,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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Preparation of porous membrane for moisture absorption from high‐humidity gases

Guo,

Ma,

et al. 2023

Polymer Engineering & Sci

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Suitable air humidity is of great importance for human health, crop growth and the life of buildings. In this work, the polyvinylidene fluoride/calcium chloride (PVDF/CaCl2) porous membranes with rich pore structures for adsorption of high‐humidity gases were prepared using solvent evaporation‐induced phase separation. The results showed that the gap between the PVDF spherical crystals increased with the increase of CaCl2 content, which increased the porosity of the membrane. When the CaCl2 content reached 20 wt.%, the water vapor adsorption capacity of the PVDF/CaCl2 porous membrane was 0.876 and the initial adsorption rate was 0.050 g·g−1·min−1. At this point, the moisture vapor permeance of the membrane was the best at 0.04 g·m−2·h−1·Pa−1, and the dry strength of the PVDF/CaCl2 membrane was 0.397 MPa, which was 1.64 times that of the membrane without CaCl2. This work provides theoretical and technical guidance for the preparation of air dehumidification materials.Highlights The porosity of the membranes increased with increasing of calcium chloride content. The moisture vapor permeance of the M‐20 membrane was the best at 0.04 g·m−2·h−1·Pa−1. The dry strength of the M‐20 membrane was 1.64 times that of the M‐0 membrane.

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Forced convection effects on desiccant evaporation and energy consumption assessment in liquid desiccant dehumidification systems

Ning,

Tang,

2024

Build. Simul.

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Study on the optimal circulation structure of liquid desiccant dehumidification system based on composite model

Cited by 5 publications

References 31 publications

Analysis of influence of concentration difference in solution dehumidification system based on solution recirculation structure

Analysis of influence of concentration difference in solution dehumidification system based on solution recirculation structure

Preparation of porous membrane for moisture absorption from high‐humidity gases

Forced convection effects on desiccant evaporation and energy consumption assessment in liquid desiccant dehumidification systems

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