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Dynamic behaviour simulation of a liquid desiccant dehumidification system

Author

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  • Kabeel, A.E.
  • Khalil, A.
  • Elsayed, S.S.
  • Alatyar, A.M.

Abstract

Among heat driven air conditioning systems, liquid desiccant air conditioning system can be assisted by low water temperature solar collectors. This can reduce the electricity demand of the air conditioning systems. Furthermore, these systems can provide possibility of energy storage in the form of chemical energy in the liquid desiccant solution or thermal energy in the solar collector hot water. This article simulates a liquid desiccant dehumidification cycle by two dynamic models: transient and discrete-steady state model. The transient model takes into consider the unsteady term in the governing equations for both the dehumidifier/regenerator model and also liquid-liquid heat exchanger model. While, in the other dynamic model, the steady state terms are used only. Correspondingly, a liquid desiccant dehumidification system was constructed, troubleshoot and field tested at summer conditions. According to the simulation results, the dynamic models are compatible with the variances in operating conditions and supply heating water. Also, the deviation between the humidity ratio results from simulation and field test effects on the simulated solution concentration with less than 4% deviation. The maximum deviation between the moisture removal rate results from simulation and test are −0.21 g/s in the dehumidifier and −0.5 g/s in the regenerator. Thus, the models of liquid desiccant system have reliability to predict the performance with solution storage mode.

Suggested Citation

  • Kabeel, A.E. & Khalil, A. & Elsayed, S.S. & Alatyar, A.M., 2018. "Dynamic behaviour simulation of a liquid desiccant dehumidification system," Energy, Elsevier, vol. 144(C), pages 456-471.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:456-471
    DOI: 10.1016/j.energy.2017.11.161
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    References listed on IDEAS

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    1. Audah, N. & Ghaddar, N. & Ghali, K., 2011. "Optimized solar-powered liquid desiccant system to supply building fresh water and cooling needs," Applied Energy, Elsevier, vol. 88(11), pages 3726-3736.
    2. Shih-Cheng Hu & Angus Shiue & Yi-Shiung Chiu & Archy Wang & Jacky Chen, 2016. "Simplified Heat and Mass Transfer Model for Cross-Flow and Countercurrent Flow Packed Bed Tower Dehumidifiers with a Liquid Desiccant System," Sustainability, MDPI, vol. 8(12), pages 1-13, December.
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    Cited by:

    1. Liu, Wei & Gong, Yanfeng & Niu, Xiaofeng & Shen, Junjie & Kosonen, Risto, 2019. "Dynamic modeling of liquid-desiccant regenerator based on a state–space method," Applied Energy, Elsevier, vol. 240(C), pages 744-753.
    2. Dong, Chuanshuai & Lu, Lin & Wen, Tao, 2018. "Investigating dehumidification performance of solar-assisted liquid desiccant dehumidifiers considering different surface properties," Energy, Elsevier, vol. 164(C), pages 978-994.
    3. Liang, Jyun-De & Huang, Bo-Hao & Chiang, Yuan-Ching & Chen, Sih-Li, 2020. "Experimental investigation of a liquid desiccant dehumidification system integrated with shallow geothermal energy," Energy, Elsevier, vol. 191(C).
    4. Kabeel, A.E. & Khalil, A. & Elsayed, S.S. & Alatyar, A.M., 2018. "Theoretical investigation on energy storage characteristics of a solar liquid desiccant air conditioning system in Egypt," Energy, Elsevier, vol. 158(C), pages 164-180.
    5. Zhou, Junming & Wang, Faming & Noor, Nuruzzaman & Zhang, Xiaosong, 2020. "An experimental study on liquid regeneration process of a liquid desiccant air conditioning system (LDACs) based on vacuum membrane distillation," Energy, Elsevier, vol. 194(C).
    6. Giampieri, Alessandro & Ma, Zhiwei & Ling-Chin, Janie & Bao, Huashan & Smallbone, Andrew J. & Roskilly, Anthony Paul, 2022. "Liquid desiccant dehumidification and regeneration process: Advancing correlations for moisture and enthalpy effectiveness," Applied Energy, Elsevier, vol. 314(C).

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