Influencing Factors of Energy Consumption for Rail Transport Based on Grey Relational Degree

Journal of Transportation Systems Engineering and Information Technology ›› 2011, Vol. 11 ›› Issue (1): 142-146 .

• Systems Engineering Theory and Methods • Previous Articles Next Articles

Influencing Factors of Energy Consumption for Rail Transport Based on Grey Relational Degree

FENG Jia^a; XU Qi^b;FENG Xu-jie^a;FENG Xue-song^a; SUN Quan-xin^a

a. Integrated Transportation Research Center of China； b. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China

Received:2010-10-02 Revised:2011-01-26 Online:2011-02-25 Published:2012-12-20
Contact: FENG Jia

基于灰色关联度的轨道交通能耗影响因素分析

冯佳^*a;许奇^b;冯旭杰^a;冯雪松^a;孙全欣^a

北京交通大学a. 中国综合交通研究中心, 北京 100044； b. 城市交通复杂系统理论与技术教育部重点实验室, 北京 100044

通讯作者: 冯佳
作者简介:冯佳（1987-），女，辽宁沈阳人，博士生.
基金资助:
美国能源基金会项目(G-0911-11631); 国家自然科学基金项目(60634010)及轨道交通控制与安全国家重点实验室课题(SKL2008K002).

Abstract

Abstract: The potential of energy-saving of rail transit is large. Based on the analysis of the industrial statistics data, this paper analyses the energy consumption factor composition and the main influence factors of urban rail transit, passenger-dedicated line and passenger train of the railway line shared by passenger and freight trains using grey relational degree analysis method. Combining industrial statistics data, establish quantify analysis indicators and draw the analysis result. The result shows that, rail transit total energy consumption constitute divided into locomotive running traction energy consumption and the equipment energy consumption in two parts. Locomotive running traction power consumption plays a great role on decision the energy consumption factor of the railway line shared by passenger and freight trains and the passenger-dedicated line. And for energy consumption factor of urban rail transit system, two factors of importance vary slightly. Different affecting factors of rail transit plays a different role on the importance degree of energy consumption factor.

Key words: rail traffic, energy consumption, quantify index, influencing factors, grey relational degree

摘要： 轨道交通节能潜力较大. 本文在分析行业统计数据的基础上，利用灰色相关度分析法对轨道交通系统中的城市轨道交通、客运专线以及客货共线铁路的能耗组成以及各主要影响因素的影响重要度进行定量分析. 结合行业统计数据，确定分析指标并得出分析结果. 研究认为：轨道交通总能耗构成分为机车运行牵引能耗和车站设施能耗两部分. 机车运行牵引能耗的大小对决定客货共线铁路和客运专线铁路的能耗起较大作用；而对城市轨道交通系统能耗而言，两个因素的重要度相差不大. 不同因素对轨道交通能耗的影响重要度存在差异.

关键词: 轨道交通, 能耗, 量化指标, 影响因素, 灰色关联度

CLC Number:

U491

FENG Jia, XU Qi,FENG Xu-jie,FENG Xue-song, SUN Quan-xin. Influencing Factors of Energy Consumption for Rail Transport Based on Grey Relational Degree[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(1): 142-146 .

冯佳,许奇,冯旭杰,冯雪松,孙全欣. 基于灰色关联度的轨道交通能耗影响因素分析[J]. 交通运输系统工程与信息, 2011, 11(1): 142-146 .

Add to citation manager EndNote|Ris|BibTeX

URL: http://www.tseit.org.cn/EN/abstract/abstract18111.shtml

http://www.tseit.org.cn/EN/Y2011/V11/I1/142

References

［1］贾顺平, 毛保华, 刘爽, 等. 中国交通运输能源消耗水平测算与分析［J］. 交通运输系统工程与信息, 2010, 10(1): 22-27.［JIA S P, MAO B H, LIU S, et al. Calculation and analysis of transportation energy consumption level in China［J］. Journal of Transportation Systems Engineering and Information technology, 2010, 10(1): 22-27.］ ［2］孙启鹏, 王庆云, 毛保华. 不同交通方式能耗因子及其可比性研究框架设计［J］. 交通运输系统工程与信息, 2009, 9(4): 10-14.［SUN Q P, WANG Q Y, MAO B H. Framework design of different transportation modes’ energy consumption factors and comparabilities study［J］. Journal of Transportation Systems Engineering and Information technology, 2009, 9(4): 10-14.］ ［3］毛保华, 彭宏勤, 贾顺平. 2009年中国综合交通体系发展趋势研究［J］. 交通运输系统工程与信息, 2010, 10(2): 17-22.［MAO B H, PENG H Q, JIA S P. Trend analysis of 2009 integrated transport systems of China［J］. Journal of Transportation Systems Engineering and Information technology, 2010, 10(2): 17-22.］ ［4］Meibom P. Technology analysis of public transport modes［R］. Final report for an industrial PhD fellowship, Technical University of Denmark, 2001. ［5］石静雅, 苏永清, 岳继光. 轨道交通能耗影响因素分析及能耗评价体系的建立［J］. 铁道运输与经济, 2008, 30(9): 46-49.［SHI Y J, SU Y Q, YUE J G. Rail transit energy analysis of influence factors and energy consumption evaluation system is established［J］. Railway Transport and Economy, 2008, 30(9): 46-49.］ ［6］李鲲鹏, 张振生. 直线电机轨道交通系统能耗分析［J］. 都市快轨交通, 2008, 21(1): 31-33.［LI K P, ZHANG Z S. Analysis of the electrical energy consumption for linear motor rail transit［J］. Urban Rapid Rail Transit, 2008, 21(1): 31-33.］ ［7］北京交通大学中国综合交通研究中心. 不同交通方式能耗与排放因子及其可比性研究 (中国可持续能源项目报告［R］. 项目资助号:G-0811-10565), 2009.［Integrated Transportation Research Center of China. Energy Consumption. Emissions and their comparison among different transport Modes［R］. 2009.］ ［8］北京交通大学中国综合交通研究中心. 轨道交通技术规范及其发展规划评估 (中国可持续能源项目报告［R］. 项目资助号:G-0911-11631). 2010.［Integrated Transportation Research Center of China. Technical regulations of rail transport modes and appraisal of their development planning［R］. 2010.］ ［9］毛保华. 列车运行计算与设计［M］. 北京: 人民交通出版社, 2008.［MAO B H. The train operation calculation and design［M］. Beijing: China Communications Press, 2008.］ ［10］中华人民共和国铁道部. GB50090-99铁路线路设计规范［M］. 北京: 中国计划出版社, 1999.［ Ministry of Railways of the People’s Republic of China. GB50090-99 code for design of railway line［M］. Beijing: China Planning Press, 1999.］ ［11］马卫武, 孙政, 周谦,等. 夏热冬冷地区客运站候车室夏季热舒适性［J］. 土木建筑与环境工程, 2009, 31(5): 100-105.［MA W W, SUN Z, ZHOU Q, et al. Thermal comfort analysis in departure lounge at railway station in hot summer and cold winter zone［J］. Journal of Chongqing Jianzhu University, 2009, 31(5): 100-105.］ ［12］伍勇, 刘思宁. 基于节能和面向旅客服务的列车编组方案研究［J］. 城市轨道交通研究, 2004, 6: 27-31.［WU Y, LIU S N. Train classification for energy saving and passenger service［J］. Urban Mass Transit, 2004, 6:27-31.］ ［13］邓聚龙. 灰色系统基本方法(第一版) ［M］. 武汉: 华中科技大学出版社, 2005.［DENG J L. The primary methods of grey system theory(the first edition) ［M］. Wuhan: Huazhong University of Science and Technology Press, 2005.］

[1]	ZHU Li-chao , ZHEN Wei , LIU Zhao-ran. Energy Consumption Measurement and Energy-saving Potential Analysis of Freight Corridors from Perspective of Life Cycle [J]. Journal of Transportation Systems Engineering and Information Technology, 2022, 22(1): 24-29.
[2]	ZHENG Xiao-bin , BAI Yun , ZHOU Shan-shan. Metro Train Energy Consumption Characteristics Based on Empirical Data Analysis [J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(6): 264-271.
[3]	YANG Ye, TAN Zhong-fu1 JIAO Gang-xin. Analysis of Factors Influencing Fast Charging Behavior Based on Data of Connected Electric Vehicles [J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(5): 86-92.
[4]	SUN Yuan-guang, WANG Qian,PENG Lei,QI Yan-ran,BAI Yun. Optimization on Track Vertical Alignment of Subway Lines Considering Express/Local Trains [J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(4): 187-193.
[5]	LIU Shuang, WANG Hui-wen, XINGYan, CHEN Shao-kuan. Energy Consumption Quota Standard for Urban Rail Transit Stations with Case Studies [J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(4): 231-235.
[6]	WU Xu, DU Yi, JIA Chuan-jun. Regionalization of China's Transportation Energy Consumption Based on Full-order-constrained Complete Linkage Partitioning [J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(2): 7-13.
[7]	XU Long, LIU Ying, ZHANG Jian-bo, WU Ke-han. Evaluation Method of Bus Energy Consumption Based on Service Level [J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(5): 103-110.
[8]	CAI Jing, ZHANG Ming-hui, ZHU Yu-ting, LIU Yu-huan. Model of Freight Vehicle Energy Consumption Based on Pearson Correlation Coefficient [J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(5): 241-246.
[9]	HUANG Wen-juan, ZHANG Wei-hua, SHEN Jia-ying, JIANG Nan. Road Congestion Pricing Model Considering Energy Consumption Measurement [J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(1): 166-172.
[10]	ZHANG Shi-qing,WANG Jian-wei, ZHENGWen-long. Relationship between Energy Consumption and Economic Growth and Influencing Factors in Transportation [J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(6): 7-12.
[11]	ZHAO Hong-xing, HE Rui-chun, JIA Fu-qiang. Vehicle Energy Consumption at Oversaturated Intersection Using Fixed Number Theory [J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(5): 75-81.
[12]	LU Sheng-rong, JIANG Hui-yuan, LIU Yao. Regional Disparities and Influencing Factors of CO2 Emission in Transportation Industry [J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(1): 32-39.
[13]	ZHAO Xiao-hua, YAO Ying, WU Yi-ping, CHEN Chen, RONG Jian. Prediction Model of Driving Energy Consumption Based on PCA and BP Network [J]. Journal of Transportation Systems Engineering and , 2016, 16(5): 185-191.
[14]	LI Xiu-hai，YU Shao-wei. Analysis and Modeling for Car-following Behaviors on Arrival Traffic Flow of Signalized Intersection [J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(2): 102-108.
[15]	. Influencing Factors of Energy Consumption for Integrated Transportation System Based on Complete Decomposition Model [J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(6): 15-20.

Influencing Factors of Energy Consumption for Rail Transport Based on Grey Relational Degree

基于灰色关联度的轨道交通能耗影响因素分析

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics