IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v183y2019icp1278-1294.html
   My bibliography  Save this article

Development of a simplified dynamic moisture transfer model of building wall layer of hygroscopic material

Author

Listed:
  • Yan, Tian
  • Sun, Zhongwei
  • Xu, Xinhua
  • Wan, Hang
  • Huang, Gongsheng

Abstract

Indoor air humidity has a significant impact on indoor air quality, building energy consumption, and equipment performance. Excessively low or high humidity is not good for living and working. Hygroscopic materials can be used to moderate the indoor air humidity level. This paper presents a simplified dynamic moisture transfer model of building wall layer of hygroscopic material, and the parameter identification of the simplified model with genetic algorithm by comparing the frequency characteristics of the simplified model with the theoretic frequency characteristics. The proposed simplified model was validated against the published experimental measurements on the system level. The results show that the predicted moisture flux by the simplified model agrees well with the experimental test. The simplified model was also validated on room level by a common exercise in IEA 41 project. The results show that the simplified model has a good agreement with the analytical solution, within ±2.2% in the case CE1A. In the realistic case CE1B, the model prediction matches the results of these detailed models provided in public literature. The proposed simplified dynamic moisture transfer model can be used in building indoor humidity environment and energy consumption simulation with good accuracy and efficiency.

Suggested Citation

  • Yan, Tian & Sun, Zhongwei & Xu, Xinhua & Wan, Hang & Huang, Gongsheng, 2019. "Development of a simplified dynamic moisture transfer model of building wall layer of hygroscopic material," Energy, Elsevier, vol. 183(C), pages 1278-1294.
  • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:1278-1294
    DOI: 10.1016/j.energy.2019.07.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421931360X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2019.07.033?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. 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.
    2. Liu, Yongfeng & Wang, Na & Pei, Pucheng & Yao, Shengzhuo & Wang, Fang, 2018. "Asymptotic analysis of anode relative humidity effects on the fastest voltage decay single cell in a stack," Energy, Elsevier, vol. 151(C), pages 490-500.
    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. Wang, Xiaoyu & Jin, Xing & Yin, Yonggao & Shi, Xing & Zhou, Xin, 2021. "A transient heat and moisture transfer model for building materials based on phase change criterion under isothermal and non-isothermal conditions," Energy, Elsevier, vol. 224(C).
    2. Wang, Xiaoyu & Jin, Xing & Yin, Yonggao & Wang, Xinyu & Shi, Xing & Zhou, Xin, 2020. "Study on non-isothermal moisture transfer characteristics of hygroscopic building materials: From parameter characterization to model analysis," Energy, Elsevier, vol. 212(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. Leehter Yao & Jin-Hao Huang, 2019. "Multi-Objective Optimization of Energy Saving Control for Air Conditioning System in Data Center," Energies, MDPI, vol. 12(8), pages 1-16, April.
    2. Tang, Rui & Wang, Shengwei & Li, Hangxin, 2019. "Game theory based interactive demand side management responding to dynamic pricing in price-based demand response of smart grids," Applied Energy, Elsevier, vol. 250(C), pages 118-130.
    3. Zhao, Wenxuan & Li, Hangxin & Wang, Shengwei, 2022. "A comparative analysis on alternative air-conditioning systems for high-tech cleanrooms and their performance in different climate zones," Energy, Elsevier, vol. 261(PA).
    4. Wang, Cuiling & Wang, Baolong & Cui, Mengdi & Wei, Falin, 2023. "Optimal fresh-air utilization strategy for constant temperature and humidity air-conditioning system based on isocost line," Energy, Elsevier, vol. 263(PD).
    5. Zhuang, Chaoqun & Wang, Shengwei, 2020. "Risk-based online robust optimal control of air-conditioning systems for buildings requiring strict humidity control considering measurement uncertainties," Applied Energy, Elsevier, vol. 261(C).
    6. Simon Li, 2023. "Review of Engineering Controls for Indoor Air Quality: A Systems Design Perspective," Sustainability, MDPI, vol. 15(19), pages 1-46, September.
    7. 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).

    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:183:y:2019:i:c:p:1278-1294. 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.