基于群体特征的高校生活热水使用行为仿真
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摘要
生活热水使用行为受性别及生活习惯影响较大,用户群体的构成和行为差异对高校学生集中生活热水系统的设计和运行控制具有较大的影响。借助实际记录数据的统计分析,对高校学生生活热水的用户群体进行了分类,分析获得了有关热水使用行为的概率分布参数,对高校学生生活热水使用行为进行了仿真和对比分析,结果表明仿真数据和实际记录数据之间具有较好的吻合性。所建立的行为仿真模型可为高校学生生活热水系统的差异化设计和运行优化提供数据支持。
The use of domestic hot water is influenced by user's gender and living habits,so the composition and behavior characteristics of user group have great influence on the design and operation control of domestic hot water system.The classification of hot water user group of college students was made by means of statistical analysis of original data,and the parameters related to the probability distributions of hot water use behavior were obtained.The simulation of domestic hot water using by college students was conducted and compared with the data generated from original recorded data,and the results show good agreement between them.The behavior simulation model in this paper can provide data support for differentiated design and operation optimization of domestic hot water system in college.
The use of domestic hot water is influenced by user's gender and living habits,so the composition and behavior characteristics of user group have great influence on the design and operation control of domestic hot water system.The classification of hot water user group of college students was made by means of statistical analysis of original data,and the parameters related to the probability distributions of hot water use behavior were obtained.The simulation of domestic hot water using by college students was conducted and compared with the data generated from original recorded data,and the results show good agreement between them.The behavior simulation model in this paper can provide data support for differentiated design and operation optimization of domestic hot water system in college.
引文
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[2]Buchberger S G,Wells G J.Intensity,Duration,and Frequency of Residential Water Demands[J].Journal of Water Resources Planning and Management(S0733-9496),1996,122(1):11-19.
[3]Blokker E J M,Vreeburg J H G,Van Dijk J C.Simulating Residential Water Demand with a Stochastic End-Use Model[J].Journal of Water Resources Planning and Management(S0733-9496),2009,136(1):19-26.
[4]Garcia V J,Garcia-Bartual R,Cabrera E,et al.Simulation Modelto Evaluate Residential Water Demands[J].Journal of Water Resources Planning and Management(S0733-9496),2004,130(5):386-394.
[5]Alcocer-Yamanaka V H,Tzatchkov V G,Arreguin-Cortes F I.Modeling of Drinking Water Distribution Networks Using Stochastic Demand[J].Water resources management(S0920-4741),2012,26(7):1779-1792.
[6]周志仁,谭洪卫,王恩丞.酒店热水用水规律与热泵热回收系统设计[J].建筑节能,2009,37(1):27-30.Zhou Zhiren,Tan Hongwei,Wang Encheng.Design of Heat Pump Heat Recovery System and Hot Water Use Rule in Hotel[J].Building Energy Efficiency,2009,37(1):27-30.
[7]陈海峰.高校学生生活热水需求模式研究[D].长沙:湖南大学,2013.Chen Haifeng.The Study on the Requirement Mode of Domestic Hot Water System in University Dormitory[D].Changsha:Hunan University,2013.
[8]段梦庆,卢军,田志勇.学生宿舍热水用水规律及空气源热泵热水系统设计分析[J].给水排水,2012,38(11):169-172.Duan Mengqing,Lu Jun,Tian Zhiyong.Analysis of Rules of Hot Water Consumption and Water System of Air-Source Heat Pump in Dormitory[J].Water&Wastewater Engineering,2012,38(11):169-172.
[9]杨柳,陈静,张少良,等.典型学生公寓生活热水用水定额研究[J].给水排水,2014,40(7):157-161.Yang Liu,Chen Jing,Zhang Shaoliang,et al.Study on Quota of Domestic Hot Water for Typical Students'Apartment[J].Water&Wastewater Engineering,2014,40(7):157-161.
[10]谢家华.基于蒙特卡洛方法的节点流量随机模型研究[D].杭州:浙江大学,2008.Xie Jiahua.The Research of Stochastic Model of Node Flow Base on the Monte Carlo Method[D].Hangzhou:Zhejiang University,2008.
[11]陈玉祥,张汉亚.预测技术与应用[M].北京:机械工业出版社,1985.Chen Yuxiang,Zhang Hanya.Forecast Technology and Application[M].Beijing:China Machine Press,1985.
[12]肖云茹.概率统计计算方法[M].天津:南开大学出版社,1994.Xiao Yunru.Probability and Statistics Calculation Method[M].Tianjin:Nankai University Press,1994.
[13]Bertrand A,Mastrucci A,Schuler N,et al.Characterization of Domestic Hot Water End-Uses for Integrated Urban Thermal Energy Assessment and Optimization[J].Applied Energy(S0306-2619),2017,186(2):152-166.