夏热冬冷地区某高校典型建筑用能特征与用能行为影响分析
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摘要
为对高校建筑的节能减排提供必要的科学参考,分析了夏热冬冷地区某典型理工科类高校用能特征以及用能行为的影响。基于该校能耗监管平台2013-2016年用能数据,对该校能耗现状进行研究,进一步分析典型类型建筑耗电量以探究不同类型建筑的用能特征;计算能耗峰值贡献综合系数以得出典型建筑对总能耗峰值的影响程度;通过用电量与月平均图示温度法定量得出学生行为因素对能耗高低的影响。研究结果表明,该校典型建筑单位建筑面积能耗值为44.79 kW·h/m~2,较好建筑单位建筑面积能耗值为32.44 kW·h/m~2;不同功能建筑用能特征存在明显差异,化工实验楼对该校能耗高峰形成具有重要影响;逐月电耗与月平均气温具有较强的相关性;月平均温度法计算结果表明,学生的用能行为对校园用能的影响较大,占比60%以上。
To better understand energy conservation in university buildings,this paper analyzes the energy consumption status and the influencing factors of energy use behavior in a typical science and engineering university in the hot-summer and cold-winter zone in China. Based on the database of the 2013-2016 yearly energy use collected from energy consumption monitoring system(ECMS),the current energy consumption data of both the whole university campus and its typical buildings are analyzed to explore the energy consumption characteristics of the different buildings with typical functions,such as teaching building,dormitory building,R&D building,etc. Besides,the energy consumption peak contribution factor is explored to analyze the building's proportional contribution to campus-wide energy consumption peak,and the correlation analysis between seasonal factors and energy consumption is conducted accordingly. The energy consumption and monthly average temperature method is used to quantify the impact of student behavioral factors on energy consumption in one case study. The results indicate that the typical energy consumption level of the university campus buildings is 44.79 kW·h/m~2,and the‘best practice' value is 32.44 kW·h/m~2. There are significant differences of the energy characteristics among different functional buildings,in which the chemical laboratory building contribute most to the campus peak both in the cooling and the heating season. The students' energy use behavior in this case study has a greater impact on campus building energy use,accounting for more than 60%.
To better understand energy conservation in university buildings,this paper analyzes the energy consumption status and the influencing factors of energy use behavior in a typical science and engineering university in the hot-summer and cold-winter zone in China. Based on the database of the 2013-2016 yearly energy use collected from energy consumption monitoring system(ECMS),the current energy consumption data of both the whole university campus and its typical buildings are analyzed to explore the energy consumption characteristics of the different buildings with typical functions,such as teaching building,dormitory building,R&D building,etc. Besides,the energy consumption peak contribution factor is explored to analyze the building's proportional contribution to campus-wide energy consumption peak,and the correlation analysis between seasonal factors and energy consumption is conducted accordingly. The energy consumption and monthly average temperature method is used to quantify the impact of student behavioral factors on energy consumption in one case study. The results indicate that the typical energy consumption level of the university campus buildings is 44.79 kW·h/m~2,and the‘best practice' value is 32.44 kW·h/m~2. There are significant differences of the energy characteristics among different functional buildings,in which the chemical laboratory building contribute most to the campus peak both in the cooling and the heating season. The students' energy use behavior in this case study has a greater impact on campus building energy use,accounting for more than 60%.
引文
[1] Hong W H,Kim J Y,Lee C M,et al. Energy consumption and the power saving potential of a university in Korea:Using a field survey[J]. Journal of Asian Architecture & Building Engineering,2011,10(2):445-452.
[2] Sait H H. Auditing and analysis of energy consumption of an educational building in hot and humid area[J]. Energy Conversion & Management,2013,66(2):143-152.
[3] Yarbrough I,Sun Q,Reeves D C,et al. Visualizing building energy demand for building peak energy analysis[J]. Energy & Buildings,2015,91:10-15.
[4] Min H C,Rhee E K. Potential opportunities for energy conservation in existing buildings on university campus:A field survey in Korea[J]. Energy & Buildings,2014,78(4):176-182.
[5] Altan H,Douglas J S,Kim Y K. Energy performance analysis of university buildings:Case studies at Sheffield University,UK[J]. Architectural Engineering Technology,2014,3(29):2.
[6] Zhou X,Yan J,Zhu J,et al. Survey of energy consumption and energy conservation measures for colleges and universities in Guangdong province[J]. Energy & Buildings,2013,66:112-118.
[7] 赵超,林思铭,许巧玲. 基于GM-RBF神经网络的高校建筑能耗预测[J]. 南京理工大学学报,2014,38(1):48-53.Zhao Chao,Lin Siming,Xu Qiaoling. College building energy consumption prediction based on GM-RBF neural network[J]. Journal of Nanjing University of Science and Technology,2014,38(1):48-53.
[8] 赵美,于航,石磊,等. 上海某高校学院楼基于能耗审计结果的节能潜力分析[J]. 建筑节能,2017(4):100-104.Zhao Mei,Yu Hang,Shi Lei,et al. Energy-saving potential analysis of a college building in Shanghai based on the results of energy consumption audit[J]. Building Energy Efficiency,2017(4):100-104.
[9] Guan J,Nord N,Chen S. Energy planning of university campus building complex:Energy usage and coincidental analysis of individual buildings with a case study[J]. Energy & Buildings,2016,124:99-111.
[10] 徐斌. 中国低碳校园建设-复旦大学案例分析[D]. 上海:复旦大学环境科学与工程系,2011.
[11] Dascalaki E G,Sermpetzoglou V G. Energy perfor-mance and indoor environmental quality in Hellenic schools[J]. Energy & Buildings,2011,43(2-3):718-727.
[12] 高彪,谭洪卫,宋亚超. 高校校园建筑用能现状及存在问题分析——以长三角地区某综合型大学为例[J]. 建筑节能,2011,39(2):41-44.Gao Biao,Tan Hongwei,Song Yachao. Analysis of the current situation and problems of energy consumption in colleges and universities-Taking a comprehensive university in the Yangtze River Delta as an example[J]. Building Energy Efficiency,2011,39(2):41-44.
[13] 吴成霞. 天津市工业能耗预测与节能评价研究[D]. 天津:天津理工大学经济与管理学院,2013.
[14] Jiang Ping. A low carbon sustainable strategy using CDM methodological approach to large commercial buildings in Beijing and Shanghai[D]. East Anglia:University of East Anglia,2009.
[2] Sait H H. Auditing and analysis of energy consumption of an educational building in hot and humid area[J]. Energy Conversion & Management,2013,66(2):143-152.
[3] Yarbrough I,Sun Q,Reeves D C,et al. Visualizing building energy demand for building peak energy analysis[J]. Energy & Buildings,2015,91:10-15.
[4] Min H C,Rhee E K. Potential opportunities for energy conservation in existing buildings on university campus:A field survey in Korea[J]. Energy & Buildings,2014,78(4):176-182.
[5] Altan H,Douglas J S,Kim Y K. Energy performance analysis of university buildings:Case studies at Sheffield University,UK[J]. Architectural Engineering Technology,2014,3(29):2.
[6] Zhou X,Yan J,Zhu J,et al. Survey of energy consumption and energy conservation measures for colleges and universities in Guangdong province[J]. Energy & Buildings,2013,66:112-118.
[7] 赵超,林思铭,许巧玲. 基于GM-RBF神经网络的高校建筑能耗预测[J]. 南京理工大学学报,2014,38(1):48-53.Zhao Chao,Lin Siming,Xu Qiaoling. College building energy consumption prediction based on GM-RBF neural network[J]. Journal of Nanjing University of Science and Technology,2014,38(1):48-53.
[8] 赵美,于航,石磊,等. 上海某高校学院楼基于能耗审计结果的节能潜力分析[J]. 建筑节能,2017(4):100-104.Zhao Mei,Yu Hang,Shi Lei,et al. Energy-saving potential analysis of a college building in Shanghai based on the results of energy consumption audit[J]. Building Energy Efficiency,2017(4):100-104.
[9] Guan J,Nord N,Chen S. Energy planning of university campus building complex:Energy usage and coincidental analysis of individual buildings with a case study[J]. Energy & Buildings,2016,124:99-111.
[10] 徐斌. 中国低碳校园建设-复旦大学案例分析[D]. 上海:复旦大学环境科学与工程系,2011.
[11] Dascalaki E G,Sermpetzoglou V G. Energy perfor-mance and indoor environmental quality in Hellenic schools[J]. Energy & Buildings,2011,43(2-3):718-727.
[12] 高彪,谭洪卫,宋亚超. 高校校园建筑用能现状及存在问题分析——以长三角地区某综合型大学为例[J]. 建筑节能,2011,39(2):41-44.Gao Biao,Tan Hongwei,Song Yachao. Analysis of the current situation and problems of energy consumption in colleges and universities-Taking a comprehensive university in the Yangtze River Delta as an example[J]. Building Energy Efficiency,2011,39(2):41-44.
[13] 吴成霞. 天津市工业能耗预测与节能评价研究[D]. 天津:天津理工大学经济与管理学院,2013.
[14] Jiang Ping. A low carbon sustainable strategy using CDM methodological approach to large commercial buildings in Beijing and Shanghai[D]. East Anglia:University of East Anglia,2009.