IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14200-d1247723.html
   My bibliography  Save this article

A Study on Modifying Campus Buildings to Improve Habitat Comfort—A Case Study of Tianjin University Campus

Author

Listed:
  • Xinge Du

    (School of Architecture, Tianjin University, Tianjin 300072, China
    These authors contributed equally to this work.)

  • Guoyao Gao

    (School of Civil Engineering, Tianjin University, Tianjin 300072, China
    These authors contributed equally to this work.)

  • Feng Gao

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Zhihua Zhou

    (School of Environment Science and Engineering, Tianjin University, Tianjin 300072, China)

Abstract

At present, the design and planning of teaching and living areas on university campuses are relatively straightforward but encounter problems, such as poor ventilation, low indoor air quality, and poor sound insulation. In this study, the teaching building and living area cluster at the Tianjin University campus were selected as the research objects. We verified the effectiveness of the simulation results before and after renovation through onsite testing. To improve ventilation, an atrium and patio were added to the teaching building, and the ventilation of the renovated building was studied. The indoor thermal environment intelligent control system regulates carbon dioxide (CO 2 ) concentration and humidity in the teaching building and changes the thermal comfort of the teaching building. Limiting vehicle speeds near the teaching building and the living area cluster, using muffling materials and muffling equipment, and increasing greenery to reduce noise were factors we studied, considering whether they had a noise-reduction effect. It was found that the average number of air changes in the overall functional space of the first teaching building reaches 6.49 times/h, and the wind speed in the human activity region is below 1 m/s. When using a thermal environment intelligent control system, the indoor temperature throughout the year was within the thermal comfort range 81% of the time. The maximum noise around the teaching building during the daytime was 51.0 dB, the maximum noise at nighttime was 41.5 dB, and the maximum sound level on the facade of the living area cluster was 53 dB. The average noise-reduction rate was 22.63%, which exceeds the noise-reduction rate given in the above research literature.

Suggested Citation

  • Xinge Du & Guoyao Gao & Feng Gao & Zhihua Zhou, 2023. "A Study on Modifying Campus Buildings to Improve Habitat Comfort—A Case Study of Tianjin University Campus," Sustainability, MDPI, vol. 15(19), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14200-:d:1247723
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14200/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/19/14200/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jie Yang & Zhimeng Dong & Huihan Yang & Yanyan Liu & Yunjie Wang & Fujiang Chen & Haifei Chen, 2022. "Numerical and Experimental Study on Thermal Comfort of Human Body by Split-Fiber Air Conditioner," Energies, MDPI, vol. 15(10), pages 1-24, May.
    2. Alvaro Balderrama & Jian Kang & Alejandro Prieto & Alessandra Luna-Navarro & Daniel Arztmann & Ulrich Knaack, 2022. "Effects of Façades on Urban Acoustic Environment and Soundscape: A Systematic Review," Sustainability, MDPI, vol. 14(15), pages 1-19, August.
    3. Xianfeng Huang & Jinyi Liu & Zhaolin Meng, 2022. "Application of University Campus Noise Map Based on Noise Propagation Model: A Case in Guangxi University," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    4. Pamela Woolner & Elaine Hall, 2010. "Noise in Schools: A Holistic Approach to the Issue," IJERPH, MDPI, vol. 7(8), pages 1-15, August.
    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. Jonghoon Ahn, 2023. "An Adaptive Control Model for Thermal Environmental Factors to Supplement the Sustainability of a Small-Sized Factory," Sustainability, MDPI, vol. 15(24), pages 1-15, December.

    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. Kai Yang & Tianhao Shi & Tingzhen Ming & Yongjia Wu & Yanhua Chen & Zhongyi Yu & Mohammad Hossein Ahmadi, 2023. "Study of Internal Flow Heat Transfer Characteristics of Ejection-Permeable FADS," Energies, MDPI, vol. 16(11), pages 1-20, May.
    2. Kusnandar & Indra Permana & Weiming Chiang & Fujen Wang & Changyu Liou, 2022. "Energy Consumption Analysis for Coupling Air Conditioners and Cold Storage Showcase Equipment in a Convenience Store," Energies, MDPI, vol. 15(13), pages 1-13, July.
    3. Jingyu Cao & Wei Wu & Mingke Hu & Yunfeng Wang, 2023. "Green Building Technologies Targeting Carbon Neutrality," Energies, MDPI, vol. 16(2), pages 1-3, January.
    4. Karin Trimmel & Julia Schätzer & Michael Trimmel, 2014. "Acoustic Noise Alters Selective Attention Processes as Indicated by Direct Current (DC) Brain Potential Changes," IJERPH, MDPI, vol. 11(10), pages 1-16, September.
    5. Jiaxi Yang & Hong Lu, 2022. "Visualizing the Knowledge Domain in Urban Soundscape: A Scientometric Analysis Based on CiteSpace," IJERPH, MDPI, vol. 19(21), pages 1-18, October.
    6. Akugbe Collins Oviasogie, 2022. "Contributions of roof covering material to Acoustic and Thermal Effect on Learning Activities in Institution Buildings in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(3), pages 295-303, March.
    7. Mukandi Cosmas, 2020. "Effects of Physical Noise on Instruction at One State University in Zimbabwe," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(6), pages 439-444, June.

    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:15:y:2023:i:19:p:14200-:d:1247723. 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.