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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  0, Vol. Issue (): 518-524   https://doi.org/10.1007/s11708-013-0261-y
  RESEARCH ARTICLE 本期目录
Impact of climate change on building heating energy consumption in Tianjin
Impact of climate change on building heating energy consumption in Tianjin
Cao XIANG(), Zhe TIAN
School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
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Abstract

This paper investigated the variation of building heating energy consumption caused by global warming in Tianjin, China. Based on the hourly historical and monthly projected future (B1/A1B emissions scenarios) meteorological data, the variation of those relevant meteorological parameters was first analyzed. A TRNSYS simulation model for a reference building was introduced to investigate historical variation of office building energy consumption. The results showed that the 10-year-average heating energy consumption of 2001–2010 had reduced by 16.1% compared to that of 1961–1970. By conducting principal component analysis and regression analysis, future variation of building heating load was studied. For B1/A1B emissions scenarios, the multi-year-average heating load was found to decrease by 9.7% (18.1%)/10.2% (22.7%) compared to that of 1971–2010 by 2011–2050 (2051–2100).

Key wordsglobal warming    office building    heating energy consumption
收稿日期: 2012-11-22      出版日期: 2013-12-05
Corresponding Author(s): XIANG Cao,Email:xcjh0115@163.com   
 引用本文:   
. Impact of climate change on building heating energy consumption in Tianjin[J]. Frontiers in Energy, 0, (): 518-524.
Cao XIANG, Zhe TIAN. Impact of climate change on building heating energy consumption in Tianjin. Front Energ, 0, (): 518-524.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-013-0261-y
https://academic.hep.com.cn/fie/CN/Y0/V/I/518
Fig.1  
Principal componentEigenvalueCumulative explained variance/%Coefficient
DBTWBTGR
1st2.65688.5390.9810.9660.872
2nd0.33899.821- 0.185- 0.2540.490
3rd0.005100.000- 0.0540.0500.005
Tab.1  
Indoor heat gainBuilding
WinterWindow-to-wall ratioHeat transfer coefficient/(W·m-2·K-1)
Equipment/(W·m-2)Lighting/(W·m-2)Person density/(person·m-2)Air change rate/h-1Dry bulb temperature/°CNorthWestSouthEastWindowFloorRoofExternal wall
13.012.00.1250.51180.280.300.460.482.302.040.480.53
Tab.2  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
Fig.6  
MonthMBE/GJRMSE/GJ
1- 130132
28188
124624
Tab.3  
Fig.7  
1 Pachauri R K, Reisinger A. Climate change 2007: synthesis report. 2012–0610, http://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_synthesis_report.htm
2 Zmeureanu R, Renaud G. Estimation of potential impact of climate change on the heating energy use of existing houses. Energy Policy , 2008, 36(1): 303–310
doi: 10.1016/j.enpol.2007.09.021
3 Wang X, Chen D, Ren Z. Assessment of climate change impact on residential building heating and cooling energy requirement in Australia. Building and Environment , 2010, 45(7): 1663–1682
doi: 10.1016/j.buildenv.2010.01.022
4 Lam T N T, Wan K K W, Wang S L. Impact of climate change on commercial sector air conditioning energy consumption in subtropical Hong Kong. Applied Energy , 2010, 87(7): 2321–2327
doi: 10.1016/j.apenergy.2009.11.003
5 Wan K K W, Li D H W, Liu D L, Lam J C. Future trends of building heating and cooling loads and energy consumption in different climates. Building and Environment , 2011, 46(1): 223–234
doi: 10.1016/j.buildenv.2010.07.016
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. Energy , 2011, 36(3): 1404–1414
doi: 10.1016/j.energy.2011.01.033
7 Lam J C, Wan K K W, Lam T N T, Wong S L. An analysis of future building energy use in subtropical Hong Kong. Energy , 2010, 35(3): 1482–1490
doi: 10.1016/j.energy.2009.12.005
8 Chen Y W, Xu Y, Jiang Z L, Xiangli M Q. Establishment of outdoor meteorological model for building energy consumption analysis. Heating Ventilating & Air Conditioning , 2005, 35(7): 20–25 , 90 (in Chinese)
9 Van Paassen A H C, Luo Q X. Weather data generator to study climate change on buildings. Building Services Engineering Research and Technology , 2002, 23(4): 251–258
doi: 10.1191/0143624402bt048oa
10 Guan L. Preparation of future weather data to study the impact of climate change on buildings. Building and Environment , 2009, 44(4): 793–800
doi: 10.1016/j.buildenv.2008.05.021
11 Ministry of Housing and Urban-Rural Development of the People’s Republic of China. GB 50189–2005 Design Standard for Energy Efficiency of Public Buildings. Beijing: China Architecture & Building Press, 2005 (in Chinese)
12 Wilks D S. Statistical Method in the Atmospheric Science: An Introduction. San Diego: Academic Press, 1995
13 Von Storch H, Zwiers F W. Statistical Analysis in Climate Research. Cambridge: Cambridge University Press, 1999
14 Croke M S, Cess R D, Hameed S. Regional cloud cover change associated with global climate change: case studies for three regions of the United States. Journal of Climate , 1999, 12(7): 2128–2134
doi: 10.1175/1520-0442(1999)012<2128:RCCCAW>2.0.CO;2
15 Kalkstein L S, Tan G, Skindlov J A. An evaluation of three clustering procedures for use in synoptic climatological classification. Journal of Climate and Applied Meteorology , 1987, 26(6): 717–730
doi: 10.1175/1520-0450(1987)026<0717:AEOTCP>2.0.CO;2
16 Zhou F C, Wang S H, Yi Y. Commonly Used Mathematical Methods and Application Examples. Beijing: China Metrology Publishing House , 2006 (in Chinese)
17 Zhang Y T, Fang K T. Introduction of Multivariate Statistical Analysis. Beijing: Science Press, 2010 (in Chinese)
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