基于聚类分析方法的地铁环控能耗分析
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摘要
基于大数据理论,采用数据挖掘的聚类分析方法,对南京市地铁1号线各站环控能耗的逐时数据进行了聚类分析,利用SQL Server 2012软件对平均化后的车站环控逐日能耗数据进行分析处理,得到用能特性不同的5类车站。对第Ⅰ类车站空调季(5—10月)的逐时、逐日、逐月环控能耗进行了数据拟合与分析,建立了车站典型日逐时能耗的标准能耗模型,提出了用于能耗预测的峰值环控能耗系数概念,实现了各类车站的能耗预测。
Based on the theory of big data,carries out a cluster analysis on the environmental control energy consumption data of each station of underground railway Line 1 in Nanjing city using the cluster analysis method of data mining,analyses the average daily energy consumption data of the stations with SQL Server 2012 software,and obtains five types of stations based on different energy characteristics.Carries out the data fitting and analysis of the hourly,daily and monthly energy consumption in the air conditioning season(May to October)for I-type station.Establishes the standard energy consumption models for the typical day hourly energy consumption.Puts forward a concept of coefficient of peak environmental control energy consumption.Realizes the energy consumption forecast of all kinds of stations.
Based on the theory of big data,carries out a cluster analysis on the environmental control energy consumption data of each station of underground railway Line 1 in Nanjing city using the cluster analysis method of data mining,analyses the average daily energy consumption data of the stations with SQL Server 2012 software,and obtains five types of stations based on different energy characteristics.Carries out the data fitting and analysis of the hourly,daily and monthly energy consumption in the air conditioning season(May to October)for I-type station.Establishes the standard energy consumption models for the typical day hourly energy consumption.Puts forward a concept of coefficient of peak environmental control energy consumption.Realizes the energy consumption forecast of all kinds of stations.
引文
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[2]朱培根,朱颖心,李晓峰.地铁通风与热模拟方案及其分析[J].流体机械,2004,32(11):39 42
[3]王子甲,陈峰,施仲衡.北京市轨道交通中远期能耗预测研究[J].中国铁道科学,2013,34(3):133 136
[4]杨昭,马锋,贾士红,等.地铁环控系统可行性分析及性能优化[J].天津大学学报,2012,45(3):268 272
[5]袁宏伟,孔令洋.城市轨道交通能耗影响因素及测算研究[J].都市快轨交通,2012(2):41 44
[6] GONZLEZ-GIL A,PALACIN R,POWELL J P.A system approach to reduce urban rail energy consumption[J]. EnergyConversionand Management,2014,80:509 524
[7] SU S,LI X,TANG T,et al.A subway train timetable optimization approach based on energyefficient operation strategy[G]∥IEEE Transactions on Intelligent Transportation Systems Society,2013,14:883 893
[8]北京城建设计研究总院有限责任公司,中国地铁工程咨询有限责任公司.地铁设计规范:GB 50157—2013[S].北京:中国建筑工业出版社,2014:10 17
[9] HONG W H,KIM S. A study on the energy consumption unit of subway stations in Korea[J].Building and Environment,2004,39(12):1497 1503
[10]LIU H B,LEE S C,YOO C K.Multi-objective optimization of indoor air quality control and energy consumption minimization in a subway ventilation system[J]. Energy and Buildings,2013,66:553 561
[11]徐龙.基于SQLserver2005构建移动网络VIP用户行为分析平台的研究与实现[D].北京:北京邮电大学,2009:1 9
[12]肖丹.公共建筑能耗分析的数据挖掘方法研究与系统开发[D].重庆:重庆大学,2012:2 17