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Energy Consumption and CO 2 Emissions of Coach Stations in China

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  • Xuejing Zheng

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
    Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, MOE, Tianjin University, Tianjin 300350, China)

  • Boxiao Xu

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

  • Shijun You

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
    Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, MOE, Tianjin University, Tianjin 300350, China)

  • Huan Zhang

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China
    Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, MOE, Tianjin University, Tianjin 300350, China)

  • Yaran Wang

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

  • Leizhai Sun

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China)

Abstract

As a critical transportation infrastructure, with a high flow of people and high-energy consumption in China, coach stations have great potential in energy saving and CO 2 emission reduction. In this paper, the building information and energy consumption data of 29 coach stations in five climate regions of China were obtained by field investigations. The annual total comprehensive building energy consumption was 31.37–128.08 kWh/(m 2 ·a). The annual total CO 2 emissions from building operation in the coach stations was 17.01–134.77 kgCO 2 /(m 2 ·a). The heating, ventilation and air conditioning (HVAC) system was the largest energy using and CO 2 emissions sector: 30.42–72.47% of the energy consumption and 30.42–83.93% of the CO 2 emissions were generated by HVAC system. The energy consumption and CO 2 emission level of coach stations and that of other kinds of public buildings were compared. Results showed that the energy consumption and CO 2 emission levels of coach stations investigated were relatively low, mainly because the passenger thermal comfort was scarified. Based on the investigation data, energy consumption analysis models of coach stations in five regions were established by simulation when the passenger thermal comfort was met. The potentials of energy saving and CO 2 emission reduction were studied from forms of the HVAC system, heat recovery and natural illumination.

Suggested Citation

  • Xuejing Zheng & Boxiao Xu & Shijun You & Huan Zhang & Yaran Wang & Leizhai Sun, 2020. "Energy Consumption and CO 2 Emissions of Coach Stations in China," Energies, MDPI, vol. 13(14), pages 1-22, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3600-:d:383781
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    References listed on IDEAS

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    1. Lu, Mengxue & Lai, Joseph, 2020. "Review on carbon emissions of commercial buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    2. A.M. Fogheri, 2015. "Energy Efficiency in Public Buildings," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 763-784.
    3. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    4. Zhang, Yang & Yan, Da & Hu, Shan & Guo, Siyue, 2019. "Modelling of energy consumption and carbon emission from the building construction sector in China, a process-based LCA approach," Energy Policy, Elsevier, vol. 134(C).
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