Please wait a minute...
高级检索
高原气象  2014, Vol. 33 Issue (2): 574-583    DOI: 10.7522/j.issn.1000-0534.2012.00197
论文     
气候变化对天津市商场和居住建筑极端能耗的影响
李明财1, 郭军1, 史珺2, 熊明明1
1. 天津市气候中心, 天津 300074;
2. 南京信息工程大学 应用气象学院, 南京 210044
Effect of Climate Change on Extreme Energy Consumption for Residential and Commercial Buildings in Tianjin
LI Mingcai1, GUO Jun1, SHI Jun2, XIONG Mingming1
1. Tianjin Climate Center, Tianjin 300074, China;
2. College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China
 全文: PDF(2670 KB)  
摘要:

通过模拟1961-2009年天津市商场建筑采暖和制冷能耗及不同节能水平居住建筑采暖能耗,采用百分位法确定了极端能耗阈值,分析了不同类型建筑的极端能耗年际变化特征,同时探讨了其与气候变化的关系。结果表明,近49年来,采暖期商场建筑热负荷极值日数呈显著下降趋势,而制冷期冷负荷没有明显变化趋势,但年际间波动较大;商场建筑热负荷极值对总热负荷的影响总体呈显著减小趋势,而冷负荷极值对总冷负荷的贡献呈弱的减少趋势,但没有通过显著性水平检验;一步节能居住建筑采暖热负荷极值日数呈显著下降趋势,且占总热负荷的比重显著减少;二步节能居住建筑仅有7年出现热负荷极值,而三步节能建筑热负荷49年来没有出现极值。逐步回归分析表明,平均气温是影响商场和居住建筑冬季热负荷极值的主要因素,而商场建筑冷负荷极值主要受湿球温度的影响。对商场建筑和居住建筑在设计和运行两个方面进行节能时要充分考虑能耗的变化特征以及不同时期对不同气候因子的响应,也要考虑制冷能耗极值的出现对空调系统运行安全的影响。另外,随着节能水平的提高,居住建筑能耗减少的同时,极端能耗出现的日数明显减少,有利于居住建筑节能。

关键词: 商场建筑居住建筑能耗极值节能    
Abstract:

Exploring changes of building energy consumption and its relationships with climate parameters can provide basis for energy-saving and emission reduction. Heating and cooling energy consumption of commercial building and heating energy consumption of residential buildings with different energy saving levels in Tianjin from 1961 to 2009 weresimulated. Also, extreme energy consumption threshold was determined bypercentile method. The interannual changes of extreme energy consumption and their relationships to climate change were analyzed. The results showed that: Days of extremeheating load in the heating period for commercial building significantly decreased during the recent 49 years, whereas no apparent variation but large interannual fluctuations for extreme cooling load. The contribution of extreme heating load to total heating load significantly decreased, and weak decline (but no significant change at the 0.05 level) was found in the contribution of extreme cooling load to total cooling load. Days of extreme heating load for the first-stage energy saving residential building and its contribution to total heating load showed significantdecrease, but extreme heating load days occurredonly in 7 years for the second-stage residential building. No extreme heating load was found for the third-stage residential building. The stepwise linear regression suggested that mean temperature was the dominant factor for affecting extreme heating load in winter of commercial and residential buildings, whereas extreme cooling load of commercial building was mainly affected by wet bulb temperature. This study indicates changes of extreme energy consumption and its different responses to climate change at different periods should be considered when energy saving is made in two aspects of the design and operation for commercialand residentialbuildings. The effect of extreme cooling energy consumption on safe operation of air-conditioning systems should also be paid more attention. Additionally, the improvement of energy saving not only reduces energy consumption of residential building, but also apparently decreases the days of extreme energy consumption, which may be beneficialto residential building energysaving.

Key words: Commercial building    Residential building    Energy consumption    Extreme value    Energy saving
收稿日期: 2012-08-22 出版日期: 2014-04-24
:  P463.3  
基金资助:

中国气象局气候变化专项(CCSF201332,CCSF20115)

作者简介: 李明财(1976 -),男,吉林抚松人,高级工程师,主要从事气候变化与城市能源气象研究. E-mail:mingcaili3394@163.com
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
李明财
郭军
史珺
熊明明

引用本文:

李明财, 郭军, 史珺, 熊明明. 气候变化对天津市商场和居住建筑极端能耗的影响[J]. 高原气象, 2014, 33(2): 574-583.

LI Mingcai, GUO Jun, SHI Jun, XIONG Mingming. Effect of Climate Change on Extreme Energy Consumption for Residential and Commercial Buildings in Tianjin. PLATEAU METEOROLOGY, 2014, 33(2): 574-583.

链接本文:

http://www.gyqx.ac.cn/CN/10.7522/j.issn.1000-0534.2012.00197        http://www.gyqx.ac.cn/CN/Y2014/V33/I2/574

[1] Yao R M, Li B Z, Steemers K. Energy policy and standard for built environment in China[J]. Renew Energy, 2005, 30: 1973-1988.

[2] Pérez-Lombard L, Ortiz J, Pout C. A review on building energy consumption information[J]. Energy Buildings, 2008, 40: 394-398.

[3] Cai W G, Wu Y, Zhong Y, et al. China building energy consumption: situation, challenges and corresponding measures[J]. Energy Policy, 2009, 37: 2054-2059.

[4] Magnier L, Haghighat F. Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network[J]. Build Environ, 2010, 45: 739-746.

[5] Christenson M, Manz H, Gyalistras D. Climate warming impact on degree-days and building energy demand in Switzerland[J]. Energy Convers Manage, 2006, 47: 671-686.

[6] Wan K K W, Li D H W, Lam J C. Assessment of climate change impact on building energy use and mitigation measures in subtropical climates[J]. Energy, 2011, 36: 1404-1414.

[7] 李明财, 郭军, 田喆,等. 气候变化对华北4个城市建筑节能设计气象参数的影响[J]. 气候变化研究进展, 2011, 7(6): 407-411.

[8] 张讯华, 高清. 气候变暖对建筑围护结构设计标准的影响[J]. 山东大学学报(工学版), 2009, 39(5): 52-57.

[9] Roberts S. Effects of climate change on the built environment[J]. Energy Policy, 2008, 36: 4552-4557.

[10] 史军, 陈葆德, 崔林丽. 华东地区气温变化对居住建筑能源消耗的影响研究[J]. 高原气象, 2011, 30(5): 1415-1421.

[11] 陈莉, 方修琦, 李帅. 气候变暖对中国严寒地区和寒冷地区南界及采暖能耗的影响[J]. 科学通报, 2007, 52(10): 1195-1198.

[12] 陈峪, 叶殿秀. 温度变化对夏季降温耗能的影响[J]. 应用气象学报, 2005, 16(S1): 97-104.

[13] 张海东, 孙照渤, 郑艳,等. 温度变化对南京城市电力负荷的影响[J]. 大气科学学报, 2009, 32(4): 536-542.

[14] 刘健, 陈星, 彭恩志,等. 气候变化对江苏省城市系统用电量变化趋势的影响[J]. 长江流域资源与环境, 2005, 14(5): 546-550.

[15] 吕建, 李星魁, 张君美. 三步节能居住建筑的设计要点[J]. 煤气与势力, 2007, 27(3): 71-73.

[16] 刘广海, 谢如鹤.冷藏车热性能及能耗分析模型的建立与实验研究[J]. 制冷学报, 2008, 29(3): 47-53.

[17] 陈少勇, 王劲松, 任燕, 等. 近49年中国西北地区极端低温事件的演变特征[J]. 高原气象, 2011, 30(5): 1266-1273.

[18] 胡乃发, 金昌杰, 关德新, 等. 浑太流域降水极值的统计分布特征[J]. 高原气象, 2012, 31(4): 1166-1172.

[19] 程炳岩, 丁裕国, 张金玲, 等. 广义帕雷托分布在重庆暴雨强降水研究中的应用[J]. 高原气象, 2008, 27(5): 1004-1009.

[20] 江志红, 丁裕国, 朱莲芳, 等. 利用广义帕雷托分布拟合中国东部日极端降水的试验[J]. 高原气象, 2009, 28(3): 573-580.

[21] 张书余. 城市环境气象预报技术[M]. 北京:气象出版社, 2002: 124-126.

[22] 陈莉, 方修睦, 方修琦,等. 过去20年气候变暖对我国冬季采气候条件与能源需求的影响[J]. 自然资源学报, 2006, 21(4): 590-597.

[23] 谢庄, 苏德斌, 虞海燕,等. 北京地区热度日和冷度日的变化特征[J]. 应用气象学报, 2007, 18(2): 2-6.

[1] 曹瑜, 游庆龙, 马茜蓉, 孟宪红. 青藏高原夏季极端降水概率分布特征[J]. 高原气象, 2017, 36(5): 1176-1187.
[2] 曹瑜, 游庆龙, 马茜蓉, 孟宪红. 青藏高原夏季极端降水概率分布特征[J]. 高原气象, 2017, 36(5): 1176-1187.
[3] 林婧婧, 张强. 中国气候态变化特征及其对气候变化分析的影响[J]. 高原气象, 2015, 34(6): 1593-1600.
[4] 周秋雪, 刘莹, 冯良敏, 牛俊丽. 2008-2012年四川强小时雨强的时空分布特征[J]. 高原气象, 2015, 34(5): 1261-1269.
[5] 蒲红铮, 韩添丁, 成鹏, 李向应, 焦克勤. 天山南北坡流域气温时空变化特征[J]. 高原气象, 2015, 34(3): 753-761.
[6] 王坚红, 黄维, 王群, 苗春生, 张志刚, 徐良谋. 雷达回波预测极端暴雨概率方法构建原理与应用研究[J]. , 2015, 34(2): 575-585.
[7] 王海军, 闫荞荞, 向芬, 潘勐. 逐时气温质量控制中界限值检查算法的设计[J]. , 2014, 33(6): 1722-1729.
[8] 王芝兰1,王劲松1,李耀辉1,王澄海2. 标准化降水指数与广义极值分布干旱指数在
西北地区应用的对比分析
[J]. 高原气象, 2013, 32(3): 839-847.
[9] 胡乃发1-2, 金昌杰1, 关德新1, 王安志1*, 吴家兵1, 袁凤辉1-2. 浑太流域降水极值的统计分布特征[J]. 高原气象, 2012, 31(4): 1166-1172.
[10] 程炳岩, 丁裕国, 张金铃, 江志红. 广义帕雷托分布在重庆暴雨强降水研究中的应用[J]. 高原气象, 2008, 27(5): 1004-1009.
[11] 龚强, 汪宏宇, 李辑, 张运福. 近半个世纪辽宁省气温、降水极值特征分析[J]. 高原气象, 2008, 27(4): 830-837.
[12] 蔡敏, 丁裕国, 江志红. 我国东部极端降水时空分布及其概率特征[J]. 高原气象, 2007, 26(2): 309-318.
[13] 李林, 李卫林, 王振宇, 姚志国, 朱西德. 青藏高原东边缘山区极值风速推算方法的研究[J]. 高原气象, 2006, 25(6): 1028-1033.
[14] 董安祥, 白虎志, 李栋梁, 薛万孝 . 青藏铁路沿线气温和地温的极值推算 [J]. 高原气象, 2003, 22(5): 503-506.
img

QQ群聊

img

官方微信