IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13342-d1233850.html
   My bibliography  Save this article

Analysis of the Influence of Office Building Operating Characteristics on Carbon Emissions in Cold Regions

Author

Listed:
  • Wenfei Wang

    (China Academy of Building Research, Beijing 100013, China)

  • Ning Kang

    (China Academy of Building Research Tianjin Institute, Tianjin 300380, China)

  • Fang He

    (China Academy of Building Research Tianjin Institute, Tianjin 300380, China)

  • Xiaoping Li

    (China Academy of Building Research Tianjin Institute, Tianjin 300380, China
    National Engineering Research Center of Building Technology, Beijing 100013, China)

Abstract

Reducing buildings’ operational carbon dioxide emissions has become a crucial element in China’s efforts to achieve carbon peak and carbon neutrality targets. This study focus on the influence of office building operating characteristics on carbon emissions in cold regions. By utilizing DesignBuilder v7.0.0.096 to conduct numerical simulations of 10 different operating conditions for heating, ventilation and air-conditioning (HVAC) and lighting systems, this study solves the problems in the past of poor comfort and high energy consumption with manual management and achieves a win-win situation for health and environmental protection. The study shows that by implementing a mixed mode of mechanical ventilation and natural ventilation based on outdoor climate conditions and design requirements, unsatisfied hours can be reduced by 202 h compared to the traditional air condition heating operation mode for both winter and summer seasons. Furthermore, compared to a year-round HVAC operation mode, the air-conditioning energy consumption can be reduced by 19%, resulting in a carbon emissions reduction of 1.45 kg CO 2 /(m 2 ·a). Additionally, for every 2 °C increase in the outdoor temperature, the cooling energy consumption decreases by 2–5%. In terms of lighting, the intelligent lighting mode can reduce energy consumption by 31.04%, leading to a carbon emissions reduction of 3.04 kg CO 2 /(m 2 ·a). The coupling operation characteristics of mixed mode, intelligent lighting, and energy-saving lamps can achieve a maximum saving of 83.46 MWh of electricity and approximately CNY 72,000 every year, with a static payback period of approximately 2.7 years. This operational strategy, which fully considers the utilization of natural ventilation and daylighting in conjunction with traditional design approaches, improves indoor air quality and ventilation conditions, while also maximizing the energy-saving and carbon reduction potential. The study results provide valuable design and operational guidance for new and existing office buildings in cold regions, to effectively reduce carbon emissions, while offering significant investment returns.

Suggested Citation

  • Wenfei Wang & Ning Kang & Fang He & Xiaoping Li, 2023. "Analysis of the Influence of Office Building Operating Characteristics on Carbon Emissions in Cold Regions," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13342-:d:1233850
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13342/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/18/13342/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Perwez, Usama & Yamaguchi, Yohei & Ma, Tao & Dai, Yanjun & Shimoda, Yoshiyuki, 2022. "Multi-scale GIS-synthetic hybrid approach for the development of commercial building stock energy model," Applied Energy, Elsevier, vol. 323(C).
    2. Wanghu Sun & Yuning Sun & Li Xu & Xing Chen & Debin Zai, 2022. "Research on Energy Consumption Constitution and Energy Efficiency Strategies of Residential Buildings in China Based on Carbon Neutral Demand," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    Full references (including those not matched with items on IDEAS)

    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. Yu Cao & Cong Xu & Syahrul Nizam Kamaruzzaman & Nur Mardhiyah Aziz, 2022. "A Systematic Review of Green Building Development in China: Advantages, Challenges and Future Directions," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    2. Yijie Lin & Canyichen Cui & Xiaojun Liu & Gang Mao & Jianwu Xiong & Yin Zhang, 2023. "Green Renovation and Retrofitting of Old Buildings: A Case Study of a Concrete Brick Apartment in Chengdu," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    3. Giuseppe Aruta & Fabrizio Ascione & Romano Fistola & Teresa Iovane, 2024. "The City as a Power Hub for Boosting Renewable Energy Communities: A Case Study in Naples," Sustainability, MDPI, vol. 16(18), pages 1-22, September.

    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:18:p:13342-:d:1233850. 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.