杨婧, 刘艳峰, 陈耀文, 李勇, 周勇. 用于被动太阳能采暖适用技术选择的气候分区研究[J]. 太阳能学报, 2021, 42(6): 234-242. DOI: 10.19912/j.0254-0096.tynxb.2019-0904
引用本文: 杨婧, 刘艳峰, 陈耀文, 李勇, 周勇. 用于被动太阳能采暖适用技术选择的气候分区研究[J]. 太阳能学报, 2021, 42(6): 234-242. DOI: 10.19912/j.0254-0096.tynxb.2019-0904
Yang Jing, Liu Yanfeng, Chen Yaowen, Li Yong, Zhou Yong. RESEARCH OF CLIMATE REGIONS DIVISION FOR APPLICABLE PASSIVE SOLAR HEATING TECHNOLOGY SELECTION[J]. Acta Energiae Solaris Sinica, 2021, 42(6): 234-242. DOI: 10.19912/j.0254-0096.tynxb.2019-0904
Citation: Yang Jing, Liu Yanfeng, Chen Yaowen, Li Yong, Zhou Yong. RESEARCH OF CLIMATE REGIONS DIVISION FOR APPLICABLE PASSIVE SOLAR HEATING TECHNOLOGY SELECTION[J]. Acta Energiae Solaris Sinica, 2021, 42(6): 234-242. DOI: 10.19912/j.0254-0096.tynxb.2019-0904

用于被动太阳能采暖适用技术选择的气候分区研究

RESEARCH OF CLIMATE REGIONS DIVISION FOR APPLICABLE PASSIVE SOLAR HEATING TECHNOLOGY SELECTION

  • 摘要: 中国各地区气候差异较大,不同地区被动太阳能建筑适用的被动太阳能采暖技术类型各不相同,针对现有分区方法忽略室外温度波动对技术选择的影响,该文提出南向最冷月辐射温差比、采暖度日数和冬季室外温度日较差度日数三级指标,分别表征气候适宜性、采暖需求和冬季室外温度的波动差异。首先,以南向最冷月辐射温差比、采暖度日数作为一级和二级指标,对中国270个气象台站进行两级分区,排除不适宜利用地区和低需求地区。此外,考虑室外温度波动对不同被动技术应用效果的影响,以冬季室外温度日较差度日数作为三级指标,综合划分出不同适宜性、采暖需求及冬季室外温度波动差异的22个区域,有利于因地制宜选择适用的被动太阳能采暖技术类型。

     

    Abstract: As the big climate difference for different regions in China, the applicable types of passive solar heating technologies for passive solar buildings vary from different regions. This paper proposes a method that uses three indexes,namely southbound coldest radiant temperature difference ratio, heating degree days and winter outdoor temperature day difference degree days to describe the climate suitability, heating demand and the difference of outdoor temperature fluctuations in winter,respectively. Firstly,the regions are divided into two levels in China according to two indexes, the southbound coldest radiant temperature difference ratio and heating degree days, collected from 270 meteorological stations. The unsuitable for using passive solar heating technology regions and low demand regions are excluded. In addition, considering the effect of outdoor temperature fluctuation, the winter outdoor temperature difference degree days are used as third index. Finally,22 regions with different suitability, heating demand and temperature fluctuation are classified. This climate region division method helps to choose the appropriate passive solar technology according to local conditions.

     

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