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Energy performance of building envelopes in different climate zones in China

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  • Yang, Liu
  • Lam, Joseph C.
  • Tsang, C.L.

Abstract

Energy performance of office building envelope designs in the five major climate zones - severe cold, cold, hot summer and cold winter, mild, and hot summer and warm winter - in China was investigated. A major city within each climate zone was selected. These were Harbin, Beijing, Shanghai, Kunming and Hong Kong. Generic building envelopes were developed based on data gathered from building surveys, local energy codes and the ASHRAE Standard. The overall thermal transfer value (OTTV) method and the heating degree-days technique were adopted in the analysis. Cooling and heating requirements due to heat gain/loss through the building envelopes were determined based on the respective OTTV parameters and building load coefficients. Different shape coefficients were also considered. For a typical floor, chiller load due to heat gain through the building envelope varied from 1.0Â kWÂ h/m2 in Kunming to 23.5Â kWÂ h/m2 in Beijing, and the heating load ranged from 2.7Â kWÂ h/m2 in Hong Kong to 124.3Â kWÂ h/m2 in Harbin.

Suggested Citation

  • Yang, Liu & Lam, Joseph C. & Tsang, C.L., 2008. "Energy performance of building envelopes in different climate zones in China," Applied Energy, Elsevier, vol. 85(9), pages 800-817, September.
  • Handle: RePEc:eee:appene:v:85:y:2008:i:9:p:800-817
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    References listed on IDEAS

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    1. Wu, Kang & Li, Binsheng, 1995. "Energy development in China : National policies and regional strategies," Energy Policy, Elsevier, vol. 23(2), pages 167-178, February.
    2. Büyükalaca, Orhan & Bulut, Hüsamettin & YIlmaz, Tuncay, 2001. "Analysis of variable-base heating and cooling degree-days for Turkey," Applied Energy, Elsevier, vol. 69(4), pages 269-283, August.
    3. Sarak, H & Satman, A, 2003. "The degree-day method to estimate the residential heating natural gas consumption in Turkey: a case study," Energy, Elsevier, vol. 28(9), pages 929-939.
    4. Zhang, Zhong Xiang, 1995. "Energy conservation in China : An international perspective," Energy Policy, Elsevier, vol. 23(2), pages 159-166, February.
    5. Kadoshin, Shiro & Nishiyama, Takashi & Ito, Toshihide, 2000. "The trend in current and near future energy consumption from a statistical perspective," Applied Energy, Elsevier, vol. 67(4), pages 407-417, December.
    6. Li, Danny H.W & Lam, Joseph C & Lau, Chris C.S & Huan, T.W, 2004. "Lighting and energy performance of solar film coating in air-conditioned cellular offices," Renewable Energy, Elsevier, vol. 29(6), pages 921-937.
    7. Yao, Runming & Li, Baizhan & Steemers, Koen, 2005. "Energy policy and standard for built environment in China," Renewable Energy, Elsevier, vol. 30(13), pages 1973-1988.
    8. Fang, Yiping & Zeng, Yong, 2007. "Balancing energy and environment: The effect and perspective of management instruments in China," Energy, Elsevier, vol. 32(12), pages 2247-2261.
    9. Martinot, Eric, 2001. "World bank energy projects in China: influences on environmental protection," Energy Policy, Elsevier, vol. 29(8), pages 581-594, June.
    10. Durmayaz, Ahmet & Kadıoǧlu, Mikdat & Şen, Zekai, 2000. "An application of the degree-hours method to estimate the residential heating energy requirement and fuel consumption in Istanbul," Energy, Elsevier, vol. 25(12), pages 1245-1256.
    Full references (including those not matched with items on IDEAS)

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