IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v228y2021ics0360544221009038.html
   My bibliography  Save this article

Experimental and modeling investigation of water adsorption of hydrophilic carboxylate-based MOF for indoor moisture control

Author

Listed:
  • Zu, Kan
  • Qin, Menghao

Abstract

Metal-organic frameworks (MOFs) have been considered as one of the most promising candidates for the sorption-based moisture control owing to higher energy efficiency compared to conventional refrigeration-based systems. In this study, MOF-based desiccant (MIL-160) was prepared and studied for water vapor adsorption. MIL-160(Al) consists of Al-based metal clusters and biomass-derived organic link, which is a green and environmentally-friendly material for indoor climate control. Here ad/desorption isotherms were measured and fitted based on the Langmurian sorption theory. These isotherms indicated that MIL-160(Al) was a hydrophilic material with a turning point at 8%P/P0. The sorption performance was also investigated and simulated on a 3-D heat and mass transfer model, which was then validated by a series of tests of the vapor sorption at the metal plate. Considering some simplified postulations (e.g. constant isosteric heat during ad/desorption process, linear driving force theory, equivalent thermal conductivity of materials), the effect of different parameters on the moisture transport were successfully investigated such as the thickness of MOF layer, porosity, and diffusivity, etc. In this regard, the simulated results together with the validation provide important insights into the MIL-160(Al) used desiccant system.

Suggested Citation

  • Zu, Kan & Qin, Menghao, 2021. "Experimental and modeling investigation of water adsorption of hydrophilic carboxylate-based MOF for indoor moisture control," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221009038
    DOI: 10.1016/j.energy.2021.120654
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221009038
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120654?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gordeeva, Larisa G. & Solovyeva, Marina V. & Sapienza, Alessio & Aristov, Yuri I., 2020. "Potable water extraction from the atmosphere: Potential of MOFs," Renewable Energy, Elsevier, vol. 148(C), pages 72-80.
    2. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
    3. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    4. Sujing Wang & Ji Sun Lee & Mohammad Wahiduzzaman & Jaedeuk Park & Mégane Muschi & Charlotte Martineau-Corcos & Antoine Tissot & Kyung Ho Cho & Jérôme Marrot & William Shepard & Guillaume Maurin & Jong, 2018. "A robust large-pore zirconium carboxylate metal–organic framework for energy-efficient water-sorption-driven refrigeration," Nature Energy, Nature, vol. 3(11), pages 985-993, November.
    5. Sah, Ramesh P. & Choudhury, Biplab & Das, Ranadip K., 2015. "A review on adsorption cooling systems with silica gel and carbon as adsorbents," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 123-134.
    6. Xu, F. & Bian, Z.F. & Ge, T.S. & Dai, Y.J. & Wang, C.H. & Kawi, S., 2019. "Analysis on solar energy powered cooling system based on desiccant coated heat exchanger using metal-organic framework," Energy, Elsevier, vol. 177(C), pages 211-221.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rupam, Tahmid Hasan & Palash, M.L. & Islam, Md Amirul & Saha, Bidyut Baran, 2022. "Transitional metal-doped aluminum fumarates for ultra-low heat driven adsorption cooling systems," Energy, Elsevier, vol. 238(PC).
    2. Zu, Kan & Qin, Menghao, 2022. "Optimization of the hygrothermal performance of novel metal-organic framework (MOF) based humidity pump: A CFD approach," Energy, Elsevier, vol. 259(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zu, Kan & Qin, Menghao & Cui, Shuqing, 2020. "Progress and potential of metal-organic frameworks (MOFs) as novel desiccants for built environment control: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Chen, K. & Zheng, X. & Wang, S.N., 2022. "Investigation on activated carbon-sodium polyacrylate coated aluminum sheets for desiccant coated heat exchanger," Energy, Elsevier, vol. 245(C).
    3. Wang, Lan & Lee, Eric W.M. & Yuen, Richard K.K., 2018. "Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach," Applied Energy, Elsevier, vol. 228(C), pages 1740-1753.
    4. Kuo-Liang Lin & Ming-Young Jan & Chien-Sen Liao, 2017. "Energy Consumption Analysis for Concrete Residences—A Baseline Study in Taiwan," Sustainability, MDPI, vol. 9(2), pages 1-13, February.
    5. Ríos-Ocampo, J.P. & Olaya, Y. & Osorio, A. & Henao, D. & Smith, R. & Arango-Aramburo, S., 2022. "Thermal districts in Colombia: Developing a methodology to estimate the cooling potential demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    6. Cox, Sam J. & Kim, Dongsu & Cho, Heejin & Mago, Pedro, 2019. "Real time optimal control of district cooling system with thermal energy storage using neural networks," Applied Energy, Elsevier, vol. 238(C), pages 466-480.
    7. Feng, Y.H. & Dai, Y.J. & Wang, R.Z. & Ge, T.S., 2022. "Insights into desiccant-based internally-cooled dehumidification using porous sorbents: From a modeling viewpoint," Applied Energy, Elsevier, vol. 311(C).
    8. Mauricio Nath Lopes & Roberto Lamberts, 2018. "Development of a Metamodel to Predict Cooling Energy Consumption of HVAC Systems in Office Buildings in Different Climates," Sustainability, MDPI, vol. 10(12), pages 1-25, December.
    9. Ferdinando Salata & Anna Tarsitano & Iacopo Golasi & Emanuele De Lieto Vollaro & Massimo Coppi & Andrea De Lieto Vollaro, 2016. "Application of Absorption Systems Powered by Solar Ponds in Warm Climates for the Air Conditioning in Residential Buildings," Energies, MDPI, vol. 9(10), pages 1-18, October.
    10. Ge, Lurong & Ge, Tianshu & Wang, Ruzhu, 2022. "Facile synthesis of Al-based MOF and its applications in desiccant coated heat exchangers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    11. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system," Energy, Elsevier, vol. 172(C), pages 1053-1065.
    12. Shen, Yuxuan & Pan, Yue, 2023. "BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization," Applied Energy, Elsevier, vol. 333(C).
    13. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    14. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. Wang, Manyu & Wei, Chu, 2024. "Toward sustainable heating: Assessment of the carbon mitigation potential from residential heating in northern rural China," Energy Policy, Elsevier, vol. 190(C).
    16. Nutkiewicz, Alex & Yang, Zheng & Jain, Rishee K., 2018. "Data-driven Urban Energy Simulation (DUE-S): A framework for integrating engineering simulation and machine learning methods in a multi-scale urban energy modeling workflow," Applied Energy, Elsevier, vol. 225(C), pages 1176-1189.
    17. Abu Bakar, Nur Najihah & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah & Bandi, Masilah, 2015. "Energy efficiency index as an indicator for measuring building energy performance: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 1-11.
    18. Chen, W.D. & Vivekh, P. & Liu, M.Z. & Kumja, M. & Chua, K.J., 2021. "Energy improvement and performance prediction of desiccant coated dehumidifiers based on dimensional and scaling analysis," Applied Energy, Elsevier, vol. 303(C).
    19. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    20. Luo, X.J. & Oyedele, Lukumon O. & Ajayi, Anuoluwapo O. & Akinade, Olugbenga O. & Owolabi, Hakeem A. & Ahmed, Ashraf, 2020. "Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221009038. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.