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Determination of Dehumidification Capacity of Water Wall with Controlled Water Temperature: Experimental Verification under Laboratory Conditions

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  • Katarina Cakyova

    (Center for Research and Innovation in Construction, Faculty of Civil Engineering, Technical University of Košice, 042 00 Košice, Slovakia
    Institute of Building Structures, Faculty of Civil Engineering, Brno University of Technology, 602 00 Brno, Czech Republic)

  • Frantisek Vranay

    (Institute of Architectural Engineering, Faculty of Civil Engineering, Technical University of Košice, 042 00 Košice, Slovakia)

  • Marian Vertal

    (Institute of Architectural Engineering, Faculty of Civil Engineering, Technical University of Košice, 042 00 Košice, Slovakia)

  • Zuzana Vranayova

    (Institute of Architectural Engineering, Faculty of Civil Engineering, Technical University of Košice, 042 00 Košice, Slovakia)

Abstract

Water elements with flowing water on the surface are common in buildings as a form of indoor decoration, and they are most often perceived as passive humidifiers. However, by controlling water temperature, they can be also used for air dehumidification. The dehumidification capacity of indoor water elements was investigated experimentally under laboratory conditions. For the experimental verification of dehumidification capacity, a water wall prototype with an effective area of falling water film of 1 m 2 and a measuring system were designed and developed. A total of 15 measurements were carried out with air temperatures ranging from 22.1 °C to 32.5 °C and relative humidity from 58.9% to 85.6%. The observed dehumidification capacity varied in the range of 21.99–315.36 g/h for the tested measurements. The results show that the condensation rate is a dynamic process, and the dehumidification capacity of a water wall strongly depends on indoor air parameters (air humidity and temperature). To determine the dehumidification capacity of a water wall for any boundary conditions, the equations were determined based on measured data, and two methods were used: the linear dependence between humidity ratio and condensation rate, and nonlinear surface fitting based on the dependence between the condensation rate, air temperature, and relative humidity.

Suggested Citation

  • Katarina Cakyova & Frantisek Vranay & Marian Vertal & Zuzana Vranayova, 2021. "Determination of Dehumidification Capacity of Water Wall with Controlled Water Temperature: Experimental Verification under Laboratory Conditions," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5684-:d:557529
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    References listed on IDEAS

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    1. Isaac, Morna & van Vuuren, Detlef P., 2009. "Modeling global residential sector energy demand for heating and air conditioning in the context of climate change," Energy Policy, Elsevier, vol. 37(2), pages 507-521, February.
    2. Erika Dolnikova & Dusan Katunsky & Marian Vertal & Marek Zozulak, 2020. "Influence of Roof Windows Area Changes on the Classroom Indoor Climate in the Attic Space: A Case Study," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    3. Uthpala Rathnayake & Denvid Lau & Cheuk Lun Chow, 2020. "Review on Energy and Fire Performance of Water Wall Systems as a Green Building Façade," Sustainability, MDPI, vol. 12(20), pages 1-27, October.
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    Cited by:

    1. Katarina Cakyova & Marian Vertal & Jan Vystrcil & Ondrej Nespesny & David Beckovsky & Ales Rubina & Jan Pencik & Zuzana Vranayova, 2021. "The Synergy of Living and Water Wall in Indoor Environment—Case Study in City of Brno, Czech Republic," Sustainability, MDPI, vol. 13(21), pages 1-23, October.

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