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Measurements of Energy Consumption and Environment Quality of High-Speed Railway Stations in China

Author

Listed:
  • Bin Qian

    (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Tao Yu

    (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Haiquan Bi

    (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

  • Bo Lei

    (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

In recent years, the energy performance of public buildings has attracted substantial attention due to the significant energy-saving potential. As a semi-open high-space building, the high-speed railway station is obviously different from other public buildings and even traditional stations in terms of energy consumption and internal environment. This paper investigates the current energy consumption situation and environmental quality of 15 high-speed railway passenger stations in China. Results show that the energy consumption of the high-speed railway station is between 117–470 kWh/(m 2 ·a). The energy consumption of the station is related to the area and the passenger flow. The energy use of the station using district heating is higher than that of the station without district heating in the same region. The higher glazing ratio induces good natural lighting in the station, but the uniformity of the lighting in the station is not good. The acceptable temperature range of passengers in winter is larger than that in summer. The average air change rate of the high-speed railway station is 3.2 h −1 in winter and 1.8 h −1 in summer, which is the main reason of high energy consumption of the HVAC (Heating Ventilation Air Conditioning) system in this kind of building.

Suggested Citation

  • Bin Qian & Tao Yu & Haiquan Bi & Bo Lei, 2019. "Measurements of Energy Consumption and Environment Quality of High-Speed Railway Stations in China," Energies, MDPI, vol. 13(1), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:13:y:2019:i:1:p:168-:d:303303
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    References listed on IDEAS

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    1. Marco Caniato & Andrea Gasparella, 2019. "Discriminating People’s Attitude towards Building Physical Features in Sustainable and Conventional Buildings," Energies, MDPI, vol. 12(8), pages 1-27, April.
    2. Li, D.H.W & Lam, J.C & Wong, S.L, 2002. "Daylighting and its implications to overall thermal transfer value (OTTV) determinations," Energy, Elsevier, vol. 27(11), pages 991-1008.
    3. A.M. Fogheri, 2015. "Energy Efficiency in Public Buildings," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 763-784.
    4. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    5. Omer, Abdeen Mustafa, 2008. "Energy, environment and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2265-2300, December.
    6. Enescu, Diana, 2017. "A review of thermal comfort models and indicators for indoor environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1353-1379.
    7. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    8. Bouden, Chiheb, 2007. "Influence of glass curtain walls on the building thermal energy consumption under Tunisian climatic conditions: The case of administrative buildings," Renewable Energy, Elsevier, vol. 32(1), pages 141-156.
    9. Peeters, Leen & Dear, Richard de & Hensen, Jan & D'haeseleer, William, 2009. "Thermal comfort in residential buildings: Comfort values and scales for building energy simulation," Applied Energy, Elsevier, vol. 86(5), pages 772-780, May.
    10. Dounis, A.I. & Caraiscos, C., 2009. "Advanced control systems engineering for energy and comfort management in a building environment--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1246-1261, August.
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    1. Xiangjing Zeng & Yong Ma & Jie Ren & Biao He, 2022. "Analysis of the Green Development Effects of High-Speed Railways Based on Eco-Efficiency: Evidence from Multisource Remote Sensing and Statistical Data of Urban Agglomerations in the Middle Reaches of," IJERPH, MDPI, vol. 19(24), pages 1-20, December.

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