IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i19p5012-d418284.html
   My bibliography  Save this article

Experimental Study on Thermal Response Characteristics of Indoor Environment with Modular Radiant Cooling System

Author

Listed:
  • Zhengrong Li

    (School of Mechanical Engineering, Tongji University, Shanghai 201804, China)

  • Dongkai Zhang

    (School of Mechanical Engineering, Tongji University, Shanghai 201804, China)

  • Cui Li

    (School of Mechanical Engineering, Tongji University, Shanghai 201804, China)

Abstract

The radiant cooling system has a substantial energy-saving effect and can be widely applied in different kinds of low-energy buildings. This article reports the experimental study of the design strategy of the radiant cooling system in low-energy buildings from the perspective of thermal response characteristics of an indoor environment. Two types of a modular radiant cooling system, namely, the copper tube radiant cooling (CTRC) and the capillary radiant cooling (CRC) systems, were investigated. The experiments were conducted in two office rooms characterized by low energy consumption. In total, 16 cases (eight for CTRC and eight for CRC) were analyzed, covering supply water temperature with a range of 12–19 °C. The experimental results show that the supply water temperature has a more substantial effect on the temperature distribution of the envelope for CTRC, than that of CRC. The indoor air temperature stratification is acceptable in the active area of the occupant with a modular radiant cooling system. Moreover, the thermal response of the envelope is highly sensitive to the lower supply water temperature (below 16 °C) using CTRC and to the higher supply water temperature (above 15 °C) using CRC. The low supply water temperature (below 15 °C) can improve the thermal stability speed of indoor air to a greater degree using CTRC, than that of CRC. The supply water temperature for CTRC with 15–16 °C, and 18–19 °C for CRC in low-energy buildings can exert an optimal cooling benefit.

Suggested Citation

  • Zhengrong Li & Dongkai Zhang & Cui Li, 2020. "Experimental Study on Thermal Response Characteristics of Indoor Environment with Modular Radiant Cooling System," Energies, MDPI, vol. 13(19), pages 1-13, September.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5012-:d:418284
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/19/5012/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/19/5012/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lehmann, B. & Dorer, V. & Gwerder, M. & Renggli, F. & Tödtli, J., 2011. "Thermally activated building systems (TABS): Energy efficiency as a function of control strategy, hydronic circuit topology and (cold) generation system," Applied Energy, Elsevier, vol. 88(1), pages 180-191, January.
    2. Fang, Hao & Xia, Jianjun & Jiang, Yi, 2015. "Key issues and solutions in a district heating system using low-grade industrial waste heat," Energy, Elsevier, vol. 86(C), pages 589-602.
    3. Gwerder, M. & Lehmann, B. & Tödtli, J. & Dorer, V. & Renggli, F., 2008. "Control of thermally-activated building systems (TABS)," Applied Energy, Elsevier, vol. 85(7), pages 565-581, July.
    4. Cho, S.-H & Zaheer-uddin, M, 1999. "An experimental study of multiple parameter switching control for radiant floor heating systems," Energy, Elsevier, vol. 24(5), pages 433-444.
    5. Xie, Dong & Wang, Yun & Wang, Hanqing & Mo, Shunquan & Liao, Maili, 2016. "Numerical analysis of temperature non-uniformity and cooling capacity for capillary ceiling radiant cooling panel," Renewable Energy, Elsevier, vol. 87(P3), pages 1154-1161.
    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. Natalia Fidorów-Kaprawy & Łukasz Stefaniak, 2022. "Potential of CO 2 Emission Reduction via Application of Geothermal Heat Exchanger and Passive Cooling in Residential Sector under Polish Climatic Conditions," Energies, MDPI, vol. 15(22), pages 1-15, November.

    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. Heier, Johan & Bales, Chris & Martin, Viktoria, 2015. "Combining thermal energy storage with buildings – a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1305-1325.
    2. Schmelas, Martin & Feldmann, Thomas & Bollin, Elmar, 2017. "Savings through the use of adaptive predictive control of thermo-active building systems (TABS): A case study," Applied Energy, Elsevier, vol. 199(C), pages 294-309.
    3. Jia, Hongyuan & Pang, Xiufeng & Haves, Philip, 2018. "Experimentally-determined characteristics of radiant systems for office buildings," Applied Energy, Elsevier, vol. 221(C), pages 41-54.
    4. Lim, Jae-Han & Song, Jin-Hee & Song, Seung-Yeong, 2014. "Development of operational guidelines for thermally activated building system according to heating and cooling load characteristics," Applied Energy, Elsevier, vol. 126(C), pages 123-135.
    5. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2013. "Modeling of TABS-based thermally manageable buildings in Simulink," Applied Energy, Elsevier, vol. 104(C), pages 791-800.
    6. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2014. "Modeling of hydronic radiant cooling of a thermally homeostatic building using a parametric cooling tower," Applied Energy, Elsevier, vol. 127(C), pages 172-181.
    7. Woong June Chung & Sang Hoon Park & Myoung Souk Yeo & Kwang Woo Kim, 2017. "Control of Thermally Activated Building System Considering Zone Load Characteristics," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    8. Yu, Tao & Heiselberg, Per & Lei, Bo & Zhang, Chen & Pomianowski, Michal & Jensen, Rasmus, 2016. "Experimental study on the dynamic performance of a novel system combining natural ventilation with diffuse ceiling inlet and TABS," Applied Energy, Elsevier, vol. 169(C), pages 218-229.
    9. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude," Applied Energy, Elsevier, vol. 146(C), pages 84-91.
    10. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Energy storage and heat extraction – From thermally activated building systems (TABS) to thermally homeostatic buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 677-685.
    11. Krzaczek, M. & Florczuk, J. & Tejchman, J., 2019. "Improved energy management technique in pipe-embedded wall heating/cooling system in residential buildings," Applied Energy, Elsevier, vol. 254(C).
    12. Joe, Jaewan & Karava, Panagiota, 2019. "A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings," Applied Energy, Elsevier, vol. 245(C), pages 65-77.
    13. Wang, Lin-Shu & Ma, Peizheng, 2016. "The homeostasis solution – Mechanical homeostasis in architecturally homeostatic buildings," Applied Energy, Elsevier, vol. 162(C), pages 183-196.
    14. Wu, Wentao & Zhang, Wei & Benner, Jingru & Malkawi, Ali, 2020. "Critical evaluation of analytical methods for thermally activated building systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    15. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
    16. Liu, Long & Wang, Mingqing & Chen, Yu, 2019. "A practical research on capillaries used as a front-end heat exchanger of seawater-source heat pump," Energy, Elsevier, vol. 171(C), pages 170-179.
    17. Wang, Jingyi & Wang, Zhe & Zhou, Ding & Sun, Kaiyu, 2019. "Key issues and novel optimization approaches of industrial waste heat recovery in district heating systems," Energy, Elsevier, vol. 188(C).
    18. Wang, Hai & Wang, Haiying & Zhu, Tong & Deng, Wanli, 2017. "A novel model for steam transportation considering drainage loss in pipeline networks," Applied Energy, Elsevier, vol. 188(C), pages 178-189.
    19. Danica Djurić Ilić, 2020. "Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review," Energies, MDPI, vol. 14(1), pages 1-27, December.
    20. Wheatcroft, Edward & Wynn, Henry P. & Lygnerud, Kristina & Bonvicini, Giorgio & Bonvicini, Giorgio & Lenote, Daniela, 2020. "The role of low temperature waste heat recovery in achieving 2050 goals: a policy positioning paper," LSE Research Online Documents on Economics 104136, London School of Economics and Political Science, LSE Library.

    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:jeners:v:13:y:2020:i:19:p:5012-:d:418284. 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.