IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i10p5684-d557529.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/10/5684/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/10/5684/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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. 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.

    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. Nishijima, Daisuke, 2017. "The role of technology, product lifetime, and energy efficiency in climate mitigation: A case study of air conditioners in Japan," Energy Policy, Elsevier, vol. 104(C), pages 340-347.
    2. Chen, Han & Huang, Ye & Shen, Huizhong & Chen, Yilin & Ru, Muye & Chen, Yuanchen & Lin, Nan & Su, Shu & Zhuo, Shaojie & Zhong, Qirui & Wang, Xilong & Liu, Junfeng & Li, Bengang & Tao, Shu, 2016. "Modeling temporal variations in global residential energy consumption and pollutant emissions," Applied Energy, Elsevier, vol. 184(C), pages 820-829.
    3. Dereje S. Ayou & Valerie Eveloy, 2020. "Integration of Municipal Air-Conditioning, Power, and Gas Supplies Using an LNG Cold Exergy-Assisted Kalina Cycle System," Energies, MDPI, vol. 13(18), pages 1-31, September.
    4. Florian Knobloch & Hector Pollitt & Unnada Chewpreecha & Vassilis Daioglou & Jean-Francois Mercure, 2017. "Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5C," Papers 1710.11019, arXiv.org, revised May 2018.
    5. François Cohen & Matthieu Glachant & Magnus Söderberg, 2017. "The cost of adapting to climate change: evidence from the US residential sector," Working Papers hal-01695171, HAL.
    6. Yau, Y.H. & Pean, H.L., 2011. "The climate change impact on air conditioner system and reliability in Malaysia—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4939-4949.
    7. Hartin, Corinne & Link, Robert & Patel, Pralit & Mundra, Anupriya & Horowitz, Russell & Dorheim, Kalyn & Clarke, Leon, 2021. "Integrated modeling of human-earth system interactions: An application of GCAM-fusion," Energy Economics, Elsevier, vol. 103(C).
    8. 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).
    9. Speerforck, Arne & Schmitz, Gerhard, 2016. "Experimental investigation of a ground-coupled desiccant assisted air conditioning system," Applied Energy, Elsevier, vol. 181(C), pages 575-585.
    10. Susanne A. Benz & Kathrin Menberg & Peter Bayer & Barret L. Kurylyk, 2022. "Shallow subsurface heat recycling is a sustainable global space heating alternative," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    11. Vincenzo Bianco & Annalisa Marchitto & Federico Scarpa & Luca A. Tagliafico, 2020. "Forecasting Energy Consumption in the EU Residential Sector," IJERPH, MDPI, vol. 17(7), pages 1-15, March.
    12. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    13. Cansino, José M. & Pablo-Romero, María del P. & Román, Rocío & Yñiguez, Rocío, 2011. "Promoting renewable energy sources for heating and cooling in EU-27 countries," Energy Policy, Elsevier, vol. 39(6), pages 3803-3812, June.
    14. Enrica De Cian & Ian Sue Wing, 2016. "Global Energy Demand in a Warming Climate," Working Papers 2016.16, Fondazione Eni Enrico Mattei.
    15. Zhou, Yuren & Lork, Clement & Li, Wen-Tai & Yuen, Chau & Keow, Yeong Ming, 2019. "Benchmarking air-conditioning energy performance of residential rooms based on regression and clustering techniques," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    16. Jakubcionis, Mindaugas & Carlsson, Johan, 2018. "Estimation of European Union service sector space cooling potential," Energy Policy, Elsevier, vol. 113(C), pages 223-231.
    17. Bessa, Vanessa M.T. & Prado, Racine T.A., 2015. "Reduction of carbon dioxide emissions by solar water heating systems and passive technologies in social housing," Energy Policy, Elsevier, vol. 83(C), pages 138-150.
    18. Alessio Mastrucci & Edward Byers & Shonali Pachauri & Narasimha Rao & Bas Ruijven, 2022. "Cooling access and energy requirements for adaptation to heat stress in megacities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(8), pages 1-16, December.
    19. Monika Wieczorek-Kosmala, 2020. "Weather Risk Management in Energy Sector: The Polish Case," Energies, MDPI, vol. 13(4), pages 1-21, February.
    20. Hongliang Zhang & Jianhong E. Mu & Bruce A. McCarl & Jialing Yu, 2022. "The impact of climate change on global energy use," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-19, January.

    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:gam:jsusta:v:13:y:2021:i:10:p:5684-:d:557529. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.