Climate Change Research ›› 2019, Vol. 15 ›› Issue (6): 617-623.doi: 10.12006/j.issn.1673-1719.2019.092

• Impacts of Climate Change • Previous Articles     Next Articles

Applicability of cooling degree-days based on wet bulb temperature as an index of cooling energy consumption

Jing-Fu CAO1,Ming-Cai LI2(),Mei-Ling SUN3,Yue-Hao CHEN1,Yan-Juan YANG1,Rui-Xue ZHANG4   

  1. 1 Tianjin Climate Center, Tianjin 300074, China
    2 Tianjin Institute of Meteorological Science, Tianjin 300074, China
    3 Tianjin Meteorological Service Center, Tianjin 300074, China
    4 China Academy of Building Research, Beijing 100013, China
  • Received:2019-04-19 Revised:2019-05-20 Online:2019-11-30 Published:2019-11-30
  • Contact: Ming-Cai LI


In this study, cooling degree-day based on wet bulb temperature (WCDD) was proposed as an index to reflect building cooling energy consumption. The applicability of WCDD was validated by analyzing the relationships between cooling energy loads simulated by TRNSYS software and WCDD in four cities representing different climate zones from 1961 to 2012. The results showed that cooling degree-day based on dry bulb temperature (DCDD) cannot fully explain the variations of cooling loads except Shanghai, with only explaining 17%?60% of monthly cooling loads in Harbin, Tianjin and Guangzhou. On the contrary, WCDD can explain 67%?98% of monthly cooling loads in all selected cities, indicating that WCDD can be well reflect the variations of cooling energy consumption. In addition, there are great differences in the explanation of WCDD for cooling loads in different zones with different base wet-bulb temperatures. In Harbin and Tianjin, the WCDD with the base temperature of 16.85℃ can explain the monthly cooling loads best. However, there are no significant differences in the explanation of cooling loads by WCDD with three base temperatures in Shanghai and Guangzhou. This study verifies that WCDD can be well used to reflect the building cooling energy consumption in different climate zones as a reliable index. In addition, different optimal base temperatures in calculating WCDD should be taken to efficiently reflect the cooling energy consumption in different climate zones.

Key words: Wet bulb temperature (WCDD), Dry bulb temperature (DCDD), Cooling degree-day, Cooling energy consumption, Climate zones

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