气候变化研究进展 ›› 2019, Vol. 15 ›› Issue (6): 617-623.doi: 10.12006/j.issn.1673-1719.2019.092

• 气候变化影响 • 上一篇    下一篇

湿球温度冷度日反映制冷能耗的适用性评估

曹经福1,李明财2(),孙玫玲3,陈跃浩1,杨艳娟1,张瑞雪4   

  1. 1 天津市气候中心,天津 300074
    2 天津市气象科学研究所,天津 300074
    3 天津市气象服务中心,天津 300074
    4 中国建筑科学研究院有限公司,北京 100013
  • 收稿日期:2019-04-19 修回日期:2019-05-20 出版日期:2019-11-30 发布日期:2019-11-30
  • 通讯作者: 李明财 E-mail:mingcaili_qhzx@163.com
  • 作者简介:曹经福,女,工程师
  • 基金资助:
    中国气象局气候变化专项(CCSF201831)

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 E-mail:mingcaili_qhzx@163.com

摘要:

基于湿球温度提出一种新的表征制冷能耗的冷度日,利用TRNSYS软件模拟得到1961—2012年逐月制冷能耗,分析了基于湿球温度的冷度日反映我国不同建筑气候区制冷能耗的适用性。结果表明,除上海外,基于干球温度的冷度日并不能很好地反映制冷能耗,仅能解释逐月制冷能耗的17%~60%;基于湿球温度的冷度日能够很好地反映各建筑气候区的制冷能耗,可以解释逐月制冷能耗的67%~98%。此外,各建筑气候区随着设定的基础湿球温度不同,计算得到的冷度日对制冷能耗的解释量不同。基础湿球温度为16.85℃的冷度日对哈尔滨和天津制冷能耗解释量最大,而不同基础湿球温度的冷度日对上海和广州制冷能耗解释量均无明显差异。以上研究结果证实,基于湿球温度的冷度日能较好地反映各建筑气候区制冷能耗,但各气候区用湿球冷度日反映制冷能耗时应设定不同的基础湿球温度。

关键词: 湿球温度, 干球温度, 冷度日, 制冷能耗, 建筑气候区

Abstract:

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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