[1]李红莲,吕凯琳,杨柳.气候变化下未来西安几种类型建筑暖通空调负荷分析预测[J].西安建筑科技大学学报(自然科学版),2018,50(04):549-555.[doi:10.15986/j.1006-7930.2018.04.013]
 LI Honglian,L Kailin,YANG Liu.Analysis and prediction of the different building HVAC load under climate change for Xi’an[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2018,50(04):549-555.[doi:10.15986/j.1006-7930.2018.04.013]
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气候变化下未来西安几种类型建筑暖通空调负荷分析预测()
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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:
50
期数:
2018年04期
页码:
549-555
栏目:
出版日期:
2018-08-31

文章信息/Info

Title:
Analysis and prediction of the different building HVAC load under climate change for Xi’an
文章编号:
1006-7930(2018)04-0549-07
作者:
李红莲12吕凯琳1杨柳1
(1. 西安建筑科技大学 建筑学院,陕西 西安 710055 ;2. 西安建筑科技大学 信息与控制工程学院,陕西 西安 710055 )
Author(s):
LI Honglian12 L Kailin1 YANG Liu1
(1. School of Architecture, Xi’an Univ. of Arch. & Tech., Xi’an 710055, China; 2. School of Information and Control Engineering, Xi’an Univ. of Arch. & Tech., Xi’an 710055, China)
关键词:
气候变化建筑类型负荷预测
Keywords:
climate change different type of buildings cooling heating prediction
分类号:
TU111.3
DOI:
10.15986/j.1006-7930.2018.04.013
文献标志码:
A
摘要:
气候变暖已对建筑全生命周期的运行状况产生了不可忽略的影响,准确评估气候变化对建筑能源需求的影响,对建筑方案设计和既有建筑的节能改造具有重要意义.论文以中国西安历史30年观测数据为基础,基于IPCC报告中SRES下的A1B情景,使用变形法进行降尺度处理,预测了该地区未来的逐时气象数据,用于高层住宅、办公、商场及酒店建筑进行全年负荷模拟,预估了西安几种不同类型建筑的负荷在未来100年里的变化趋势.结果表明不同类型的建筑制冷负荷均显著增加,采暖负荷呈现降低趋势.由于负荷是指导冷热源设备和调控的依据,因此研究气候变化下各类型建筑的负荷变化对全国范围内的节能及建筑环境相关政策的提出有参考价值
Abstract:
Climate is the basis for building energy simulation. The global warming will cause the change of building energy demand. Based on the historical observation data over 30 years in Xi ’an, the paper got the recent-term, mid-term and far-term hourly meteorological data of the typical meteorological year in Xi’an by choosing recent prediction of SRES A1B of Inter-governmental Panel on Climate Change (IPCC) and using a statistical downscaling method-“Morphing”. The office, residential, hotel and store buildings were simulated to predict the different building HVAC load. Result shows that the climate change in terms of global warming would lead to less energy use for winter heating and more for cooling during the summer months. The heating/cooling loads could guide the choice of the equipment and control, so it could have important implications for nationwide energy and environmental policy for the building environment

参考文献/References:

References

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备注/Memo

备注/Memo:
收稿日期:2017-05-08修改稿日期:2018-07-05
基金项目:国家自然科学基金 (51508444) ;中国博士后科学基金面上项目(2017M613288XB);西安建筑科技大学青年科技基金(QN1528)
第一作者:李红莲(1980—),女,高级工程师,建筑气候与建筑节能. E-mail: lihonglian_lhl@163.com
更新日期/Last Update: 2018-09-11