| 주 저자 | Soo-Jin Lee |
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| 공동 저자 | Jae-Hee Lee, Taek-Don Kwon, Jae-Weon Jeong |
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| 소속 | Department of Architectural Engineering, College of Engineering, Hanyang University, Seoul |
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| Abstract | Because most of the energy is used to cool and heat the solution for dehumidification and regeneration in a liquid desiccant system, the low-flow liquid desiccant system has been proposed to reduce the solution cooling and heating energy. However, the numerical analysis of the system is complicated because of the comprehensive consideration such as the suspension time of solution droplets, heat and mass transfer between the air and solution. Therefore, the simplified model of a low-flow liquid desiccant system is needed to analyze the system performance. The main objective of this study is to suggest the simplified dehumidification performance estimation model for a low-flow liquid desiccant system based on the solution atomization with tiny droplets. To establish the empirical model, experimental data were obtained by the pilot apparatus under various operating conditions. The solution temperature, solution mass flow rate and air mass flow rate were also considered as the design variables to significant effect on dehumidification performance. Using statistically analyzing dehumidification performance data generated by the experiment, the effects of design variables and their combinations on the liquid desiccant dehumidification was estimated by the 2k factorial experimental design method. The simplified linear regression model that return the humidity ratio difference was derived as a function of the designed major variables that have significant impacts on the dehumidification performance of the low-flow liquid desiccant system. The experimental data and predicted data by the derived model were compared, and the results showed an error of less than 10%. The simplified humidity ratio difference estimation model can be used to design the optimization operating conditions of a low-flow liquid desiccant system. |
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| Keyword | Liquid desiccant system, Low-flow rate, Humidity ratio difference, Correlation models, ANOVA analysis |
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| 페이지 | pp. 0~0 |
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| 논문 파일 |
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| 게재일시 |
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| DOI | - |
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| 학회/저널명 | APCBE 2023 |
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| 년도 | 2023 |
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| 추가 문구 | - |
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| 등록 일시 | 2025-06-18 19:06:49 |
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