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Desiccant wheel thermal performance modeling for indoor humidity optimal control

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  • Wang, Nan
  • Zhang, Jiangfeng
  • Xia, Xiaohua

Abstract

Thermal comfort is an important concern in the energy efficiency improvement of commercial buildings. Thermal comfort research focuses mostly on temperature control, but humidity control is an important aspect to maintain indoor comfort too. In this paper, an optimal humidity control model (OHCM) is presented. Model predictive control (MPC) strategy is applied to implement the optimal operation of the desiccant wheel during working hours of a commercial building. The OHCM is revised to apply the MPC strategy. A case is studied to illustrate the practical applications of the MPC strategy.

Suggested Citation

  • Wang, Nan & Zhang, Jiangfeng & Xia, Xiaohua, 2013. "Desiccant wheel thermal performance modeling for indoor humidity optimal control," Applied Energy, Elsevier, vol. 112(C), pages 999-1005.
    • Handle: RePEc:eee:appene:v:112:y:2013:i:c:p:999-1005
    DOI: 10.1016/j.apenergy.2013.03.060
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    References listed on IDEAS

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    1. Ge, T.S. & Li, Y. & Wang, R.Z. & Dai, Y.J., 2008. "A review of the mathematical models for predicting rotary desiccant wheel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(6), pages 1485-1528, August.
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    Cited by:

    1. Mei, Jun & Xia, Xiaohua, 2017. "Energy-efficient predictive control of indoor thermal comfort and air quality in a direct expansion air conditioning system," Applied Energy, Elsevier, vol. 195(C), pages 439-452.
    2. Raman, Naren Srivaths & Devaprasad, Karthikeya & Chen, Bo & Ingley, Herbert A. & Barooah, Prabir, 2020. "Model predictive control for energy-efficient HVAC operation with humidity and latent heat considerations," Applied Energy, Elsevier, vol. 279(C).
    3. Chiang, Yuan-Ching & Chen, Chih-Hao & Chiang, Yi-Chin & Chen, Sih-Li, 2016. "Circulating inclined fluidized beds with application for desiccant dehumidification systems," Applied Energy, Elsevier, vol. 175(C), pages 199-211.
    4. Shaikh, Pervez Hameed & Nor, Nursyarizal Bin Mohd & Nallagownden, Perumal & Elamvazuthi, Irraivan & Ibrahim, Taib, 2014. "A review on optimized control systems for building energy and comfort management of smart sustainable buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 409-429.
    5. Chen, Wenjing & Chan, Ming-yin & Weng, Wenbing & Yan, Huaxia & Deng, Shiming, 2018. "An experimental study on the operational characteristics of a direct expansion based enhanced dehumidification air conditioning system," Applied Energy, Elsevier, vol. 225(C), pages 922-933.
    6. Žáčeková, Eva & Váňa, Zdeněk & Cigler, Jiří, 2014. "Towards the real-life implementation of MPC for an office building: Identification issues," Applied Energy, Elsevier, vol. 135(C), pages 53-62.
    7. Zhou, Xingchao & Goldsworthy, Mark & Sproul, Alistair, 2018. "Performance investigation of an internally cooled desiccant wheel," Applied Energy, Elsevier, vol. 224(C), pages 382-397.
    8. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    9. Keniar, Khoudor & Ghali, Kamel & Ghaddar, Nesreen, 2015. "Study of solar regenerated membrane desiccant system to control humidity and decrease energy consumption in office spaces," Applied Energy, Elsevier, vol. 138(C), pages 121-132.

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