[1]王 安,李红莲,张恬恬,等.建筑极端能耗气象年的建构方法[J].西安建筑科技大学学报(自然科学版),2023,55(03):459-467.[doi:10.15986/j.1006-7930.2023.03.018 ]
 WANG An,LI Honglian,ZHANG Tiantiao,et al.Construction method of Meteorological Year for extreme energy consumption in buildings[J].J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition),2023,55(03):459-467.[doi:10.15986/j.1006-7930.2023.03.018 ]
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建筑极端能耗气象年的建构方法()
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西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
55
期数:
2023年03期
页码:
459-467
栏目:
出版日期:
2023-06-28

文章信息/Info

Title:
Construction method of Meteorological Year for extreme energy consumption in buildings
文章编号:
1006-7930(2023)03-0459-09
作者:
王 安1李红莲1张恬恬1张文豪1王赏玉2贾 媛1
(1.西安建筑科技大学 信息与控制工程学院,陕西 西安 710055; 2.西安建筑科技大学 建筑学院,陕西 西安 710055)
Author(s):
WANG An1LI Honglian1ZHANG Tiantiao1ZHANG Wenhao1WANG Shangyu2JIA Yuan1
(1.School of Information and Control Engineering, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China; 2.School of Architecture, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China)
关键词:
建筑极端能耗气象年 典型气象年 建筑能耗 极端天气 建筑节能
Keywords:
Meteorological Year of extreme energy consumption of buildings typical Meteorological Year building energy consumption extreme weather building energy saving
分类号:
TU119+.2
DOI:
10.15986/j.1006-7930.2023.03.018
文献标志码:
A
摘要:
气候变化日益加剧导致全球变暖、极端事件的频繁发生,极大地影响了建筑能耗.目前,在建筑设计前期,用于建筑能耗模拟的气象参数主要是代表平均状况的典型气象年,无法体现极端天气状况下的建筑耗能情况,因此,生成用于模拟极端天气下建筑能耗的气象年十分必要.对比了几种已有的反映极端天气气象年的优缺点,提出了一种新的用于建筑极端能耗模拟的气象年生成方法,该方法不仅考虑了多种气象参数对建筑耗能的影响,而且使用动态阈值计算多参数的极端强度和出现时长,综合评价各参数超过阈值的时长和强度的得分,生成建筑极端能耗气象年.通过对比不同气象年的建筑能耗模拟结果来验证新方法的优越性.结果显示:采用建筑极端能耗气象年作为室外气象计算参数,对极端天气状况下建筑极值能耗模拟的准确性优于极端气象年、典型冷年及典型热年数据,能够很好模拟出极端天气状况下的建筑能耗.同时,验证了通过组合使用典型气象年和建筑极端能耗气象年数据,可模拟出建筑的平均能耗以及极端天气状况下的极值能耗,组合数据集在不损失模拟结果全面性的前提下减少了模拟次数.
Abstract:
The increasing climate change leads to global warming and the frequent occurrence of extreme events, which greatly affects the energy consumption of buildings. At present, in the early stage of building design, the meteorological parameters used for building energy consumption simulation are mainly typical meteorological years(TMY)that represent average conditions, which can't reflect building energy consumption under extreme weather conditions. Therefore, it is necessary to generate meteorological years for building energy consumption simulation under extreme weather conditions. In this paper, the advantages and disadvantages of several existing extreme weather meteorological years are compared, and a new extreme meteorological year generation method for building energy consumption simulation is proposed. This method not only considers the influence of various meteorological parameters on building energy consumption, but also uses the dynamic threshold to calculate the extreme intensity and occurrence time of multi-parameters, and comprehensively evaluates the score of each parameter exceeding the threshold time and intensity to generate the building extreme energy consumption meteorological year. The superiority of the new method is verified by comparing the simulation results of building energy consumption in different meteorological years. The results show that: by using the building extreme energy consumption meteorological year as the outdoor meteorological calculation parameter, the accuracy of building extreme energy consumption simulation under extreme weather conditions is better than that of EMY, THY and TCY data, and can well simulate the building energy consumption under extreme weather conditions. At the same time, this study verifies that the average energy consumption of buildings and the extreme energy consumption under extreme weather conditions can be simulated by combining the typical meteorological year and the extreme energy consumption meteorological year data of buildings. The combined data set reduces the number of simulations without losing the comprehensiveness of the simulation results.

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备注/Memo

备注/Memo:
收稿日期:2021-12-21修回日期:2022-05-03
基金项目:国家自然科学基金项目(52278124); “十三五”国家重点研发计划项目(2018YFC0704500)
第一作者:王 安(1996—),男,硕士生,主要从事建筑能耗方向的研究.E-mail:1360078844@qq.com
通信作者:李红莲(1980—),女,博士,教授,主要从事建筑气候与建筑节能方向的研究.E-mail:lihonglian_lhl@163.com
更新日期/Last Update: 2023-06-28