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Energy and thermal performance of optimised hollow fibre liquid desiccant cooling and dehumidification systems in mediterranean regions: Modelling, validation and case study

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  • Qu, Ke
  • Barreto, Germilly
  • Iten, Muriel
  • Wang, Yuhao
  • Riffat, Saffa

Abstract

The heat and mass transfer of liquid desiccant for dehumidification and cooling has been investigated in recent years as a promising energy-efficient technology to improve indoor thermal comfort. Limited studies, however, investigated integration strategies and energy performance of such systems in real buildings with performance correlations in building energy simulation software. This research considers a low-rise Greek apartment building constructed in 1981 as a case study. The optimal system sizing is determined via parametric analysis in the numerical modelling stage as: 1) air mass flow rate of 57 m3/h; 2) solution mass flow of 2.0 l/min; 3) solution inlet temperature of 14 °C; 4) solution concentration of 40%. Besides, the thermal and electrical COP correlations are derived from the inlet air temperature and relative humidity, with maximum value of 0.51 and 7.32 (inlet air temperature: 35 °C and relative humidity: 90%). The results show that by integrating two photovoltaic thermal (PVT) panels and a 300L water-based thermal storage tank into the desiccant cooler, such a hybrid system could achieve maximum COP value of 4.21 in the case study. Besides, the summer supply air thermal unacceptable level is reduced by at least 65% from 2535 h to 884 h.

Suggested Citation

  • Qu, Ke & Barreto, Germilly & Iten, Muriel & Wang, Yuhao & Riffat, Saffa, 2023. "Energy and thermal performance of optimised hollow fibre liquid desiccant cooling and dehumidification systems in mediterranean regions: Modelling, validation and case study," Energy, Elsevier, vol. 263(PC).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pc:s0360544222027384
    DOI: 10.1016/j.energy.2022.125852
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    as
    1. Zhang, Li-Zhi & Zhang, Ning, 2014. "A heat pump driven and hollow fiber membrane-based liquid desiccant air dehumidification system: Modeling and experimental validation," Energy, Elsevier, vol. 65(C), pages 441-451.
    2. Zhang, Nan & Chen, Xiangjie & Su, Yuehong & Zheng, Hongfei & Ramadan, Omar & Zhang, Xingxing & Chen, Hongbin & Riffat, Saffa, 2019. "Numerical investigations and performance comparisons of a novel cross-flow hollow fiber integrated liquid desiccant dehumidification system," Energy, Elsevier, vol. 182(C), pages 1115-1131.
    3. Paria Akbary & Mohammad Ghiasi & Mohammad Reza Rezaie Pourkheranjani & Hamidreza Alipour & Noradin Ghadimi, 2019. "Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 1-26, January.
    4. Huang, Si-Min & Zhang, Li-Zhi, 2013. "Researches and trends in membrane-based liquid desiccant air dehumidification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 425-440.
    5. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    6. Bourouni, K. & Martin, R. & Tadrist, L. & Chaibi, M. T., 1999. "Heat transfer and evaporation in geothermal desalination units," Applied Energy, Elsevier, vol. 64(1-4), pages 129-147, September.
    7. Cai, Wei & Mohammaditab, Rasoul & Fathi, Gholamreza & Wakil, Karzan & Ebadi, Abdol Ghaffar & Ghadimi, Noradin, 2019. "Optimal bidding and offering strategies of compressed air energy storage: A hybrid robust-stochastic approach," Renewable Energy, Elsevier, vol. 143(C), pages 1-8.
    8. Yang, Zaoli & Ghadamyari, Mojtaba & Khorramdel, Hossein & Seyed Alizadeh, Seyed Mehdi & Pirouzi, Sasan & Milani, Muhammed & Banihashemi, Farzad & Ghadimi, Noradin, 2021. "Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    9. Yu, Jia & Kang, Yanming & Li, He & Zhong, Ke & Zhai, Zhiqiang (John), 2020. "Influence of ventilation-behavior during off-periods on energy-consumption for an intermittently heated room of dormitory buildings," Energy, Elsevier, vol. 197(C).
    10. 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.
    11. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2019. "Adaptive full-range decoupled ventilation strategy and air-conditioning systems for cleanrooms and buildings requiring strict humidity control and their performance evaluation," Energy, Elsevier, vol. 168(C), pages 883-896.
    12. Min, Yunran & Chen, Yi & Shi, Wenchao & Yang, Hongxing, 2021. "Applicability of indirect evaporative cooler for energy recovery in hot and humid areas: Comparison with heat recovery wheel," Applied Energy, Elsevier, vol. 287(C).
    13. Park, Joon-Young & Kim, Beom-Jun & Yoon, Soo-Yeol & Byon, Yoo-Suk & Jeong, Jae-Weon, 2019. "Experimental analysis of dehumidification performance of an evaporative cooling-assisted internally cooled liquid desiccant dehumidifier," Applied Energy, Elsevier, vol. 235(C), pages 177-185.
    14. Huang, Xianghui & Li, Kuining & Xie, Yi & Liu, Bin & Liu, Jiangyan & Liu, Zhaoming & Mou, Lunjie, 2022. "A novel multistage constant compressor speed control strategy of electric vehicle air conditioning system based on genetic algorithm," Energy, Elsevier, vol. 241(C).
    15. Luo, Yimo & Chen, Yi & Yang, Hongxing & Wang, Yuanhao, 2017. "Study on an internally-cooled liquid desiccant dehumidifier with CFD model," Applied Energy, Elsevier, vol. 194(C), pages 399-409.
    16. Liu, X.H. & Jiang, Y. & Yi, X.Q., 2009. "Effect of regeneration mode on the performance of liquid desiccant packed bed regenerator," Renewable Energy, Elsevier, vol. 34(1), pages 209-216.
    17. Ou, Xianhua & Cai, Wenjian & He, Xiongxiong & Zhai, Deqing, 2018. "Experimental investigations on heat and mass transfer performances of a liquid desiccant cooling and dehumidification system," Applied Energy, Elsevier, vol. 220(C), pages 164-175.
    18. Wang, Yuhao & Qu, Ke & Chen, Xiangjie & Zhang, Xingxing & Riffat, Saffa, 2022. "Holistic electrification vs deep energy retrofits for optimal decarbonisation pathways of UK dwellings: A case study of the 1940s’ British post-war masonry house," Energy, Elsevier, vol. 241(C).
    19. Oh, Seung Jin & Ng, Kim Choon & Chun, Wongee & Chua, Kian Jon Ernest, 2017. "Evaluation of a dehumidifier with adsorbent coated heat exchangers for tropical climate operations," Energy, Elsevier, vol. 137(C), pages 441-448.
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