IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2019i1p168-d303303.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/1/168/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/1/168/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    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. 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.

    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. Sakiyama, N.R.M. & Carlo, J.C. & Frick, J. & Garrecht, H., 2020. "Perspectives of naturally ventilated buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    2. Peter Rafaj & Markus Amann, 2018. "Decomposing Air Pollutant Emissions in Asia: Determinants and Projections," Energies, MDPI, vol. 11(5), pages 1-14, May.
    3. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    4. Costanzo, Vincenzo & Yao, Runming & Xu, Tiantian & Xiong, Jie & Zhang, Qiulei & Li, Baizhan, 2019. "Natural ventilation potential for residential buildings in a densely built-up and highly polluted environment. A case study," Renewable Energy, Elsevier, vol. 138(C), pages 340-353.
    5. Boya Zhou & Shaojun Zhang & Ye Wu & Wenwei Ke & Xiaoyi He & Jiming Hao, 2018. "Energy-saving benefits from plug-in hybrid electric vehicles: perspectives based on real-world measurements," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(5), pages 735-756, June.
    6. Liwei Wen & Kyosuke Hiyama, 2018. "Target Air Change Rate and Natural Ventilation Potential Maps for Assisting with Natural Ventilation Design During Early Design Stage in China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    7. Wei Xue & Qingming Zhan & Qi Zhang & Zhonghua Wu, 2019. "Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China," IJERPH, MDPI, vol. 17(1), pages 1-23, December.
    8. Martins, Nuno R. & Carrilho da Graça, Guilherme, 2017. "Impact of outdoor PM2.5 on natural ventilation usability in California’s nondomestic buildings," Applied Energy, Elsevier, vol. 189(C), pages 711-724.
    9. He, Yueer & Liu, Meng & Kvan, Thomas & Peng, Shini, 2017. "An enthalpy-based energy savings estimation method targeting thermal comfort level in naturally ventilated buildings in hot-humid summer zones," Applied Energy, Elsevier, vol. 187(C), pages 717-731.
    10. Manzano-Agugliaro, Francisco & Montoya, Francisco G. & Sabio-Ortega, Andrés & García-Cruz, Amós, 2015. "Review of bioclimatic architecture strategies for achieving thermal comfort," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 736-755.
    11. Payam Nejat & Fatemeh Jomehzadeh & Hasanen Mohammed Hussen & John Kaiser Calautit & Muhd Zaimi Abd Majid, 2018. "Application of Wind as a Renewable Energy Source for Passive Cooling through Windcatchers Integrated with Wing Walls," Energies, MDPI, vol. 11(10), pages 1-23, September.
    12. Qing He & Haiyang Zhao & Lin Shen & Liuqun Dong & Ye Cheng & Ke Xu, 2019. "Factors Influencing Residents’ Intention toward Green Retrofitting of Existing Residential Buildings," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    13. 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.
    14. Wang, Zhu & Wang, Lingfeng & Dounis, Anastasios I. & Yang, Rui, 2012. "Multi-agent control system with information fusion based comfort model for smart buildings," Applied Energy, Elsevier, vol. 99(C), pages 247-254.
    15. Xuemin Sui & Huajiang Wang & Ming Qu & Huitao Liu, 2020. "Thermal Response Characteristics of Intermittently Cooled Room with Tube-Embedded Cooling Slab and Optimization of Intermittent Control," Energies, MDPI, vol. 13(7), pages 1-28, March.
    16. Ádám László Katona & Huang Xuan & Sara Elhadad & István Kistelegdi & István Háber, 2020. "High-Resolution CFD and In-Situ Monitoring Based Validation of an Industrial Passive Air Conduction System (PACS)," Energies, MDPI, vol. 13(12), pages 1-23, June.
    17. Bo Hong & Hongqiao Qin & Runsheng Jiang & Min Xu & Jiaqi Niu, 2018. "How Outdoor Trees Affect Indoor Particulate Matter Dispersion: CFD Simulations in a Naturally Ventilated Auditorium," IJERPH, MDPI, vol. 15(12), pages 1-21, December.
    18. Ahmed, Tariq & Kumar, Prashant & Mottet, Laetitia, 2021. "Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    19. Wang, C. & Zhu, Y. & Qu, J. & Hu, H.D., 2018. "Automatic air temperature control in a container with an optic-variable wall," Applied Energy, Elsevier, vol. 224(C), pages 671-681.
    20. Hiroshi Mori & Tetsu Kubota & I Gusti Ngurah Antaryama & Sri Nastiti N. Ekasiwi, 2020. "Analysis of Window-Opening Patterns and Air Conditioning Usage of Urban Residences in Tropical Southeast Asia," Sustainability, MDPI, vol. 12(24), pages 1-21, December.

    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:2019:i:1:p:168-:d:303303. 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.