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Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution

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  • Chen, Yujiao
  • Malkawi, Ali
  • Liu, Zhu
  • Freeman, Richard Barry
  • Tong, Zheming

Abstract

Natural ventilation (NV) is a key sustainable solution for reducing the energy use in buildings, improving thermal comfort, and maintaining a healthy indoor environment. However, the energy savings and environmental benefits are affected greatly by ambient air pollution in China. Here we estimate the NV potential of all major Chinese cities based on weather, ambient air quality, building configuration, and newly constructed square footage of office buildings in the year of 2015. In general, little NV potential is observed in northern China during the winter and southern China during the summer. Kunming located in the Southwest China is the most weather-favorable city for natural ventilation, and reveals almost zero loss due to air pollution. Building Energy Simulation (BES) is conducted to estimate the energy savings of natural ventilation in which ambient air pollution and total square footage must be taken into account. Beijing, the capital city, displays limited per-square-meter saving potential due to the unfavorable weather and air quality for natural ventilation, but its largest total square footage of office buildings makes it become the city with the greatest energy saving opportunity in China. Our analysis shows that the aggregated energy savings potential of office buildings at 35 major Chinese cities is 112 GWh in 2015, even after allowing for a 43 GWh loss due to China’s serious air pollution issue especially in North China. 8–78% of the cooling energy consumption can be potentially reduced by natural ventilation depending on local weather and air quality. The findings here provide guidelines for improving current energy and environmental policies in China, and a direction for reforming building codes.

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  • 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.
  • Handle: RePEc:hrv:faseco:27733689
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    References listed on IDEAS

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    1. Zhang, Xing-Ping & Cheng, Xiao-Mei, 2009. "Energy consumption, carbon emissions, and economic growth in China," Ecological Economics, Elsevier, vol. 68(10), pages 2706-2712, August.
    2. Hughes, Ben Richard & Calautit, John Kaiser & Ghani, Saud Abdul, 2012. "The development of commercial wind towers for natural ventilation: A review," Applied Energy, Elsevier, vol. 92(C), pages 606-627.
    3. Cui, Can & Wu, Teresa & Hu, Mengqi & Weir, Jeffery D. & Li, Xiwang, 2016. "Short-term building energy model recommendation system: A meta-learning approach," Applied Energy, Elsevier, vol. 172(C), pages 251-263.
    4. Zhu Liu & Dabo Guan & Douglas Crawford-Brown & Qiang Zhang & Kebin He & Jianguo Liu, 2013. "A low-carbon road map for China," Nature, Nature, vol. 500(7461), pages 143-145, August.
    5. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    6. Oropeza-Perez, Ivan & Østergaard, Poul Alberg, 2014. "Energy saving potential of utilizing natural ventilation under warm conditions – A case study of Mexico," Applied Energy, Elsevier, vol. 130(C), pages 20-32.
    7. Li, Xiwang & Wen, Jin & Malkawi, Ali, 2016. "An operation optimization and decision framework for a building cluster with distributed energy systems," Applied Energy, Elsevier, vol. 178(C), pages 98-109.
    8. A.M. Fogheri, 2015. "Energy Efficiency in Public Buildings," Rivista economica del Mezzogiorno, Società editrice il Mulino, issue 3-4, pages 763-784.
    9. Yao, Runming & Li, Baizhan & Steemers, Koen & Short, Alan, 2009. "Assessing the natural ventilation cooling potential of office buildings in different climate zones in China," Renewable Energy, Elsevier, vol. 34(12), pages 2697-2705.
    10. Chou, S. K. & Chua, K. J. & Ho, J. C. & Ooi, C. L., 2004. "On the study of an energy-efficient greenhouse for heating, cooling and dehumidification applications," Applied Energy, Elsevier, vol. 77(4), pages 355-373, April.
    11. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    12. Ramponi, Rubina & Angelotti, Adriana & Blocken, Bert, 2014. "Energy saving potential of night ventilation: Sensitivity to pressure coefficients for different European climates," Applied Energy, Elsevier, vol. 123(C), pages 185-195.
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