The Influence of Train Composition on the Nature of the Impact of Factors Affecting Energy Consumption

Currently, the development of technical standards and functional operating standards of specific fuel and power consumption for railway traction on the railways of the Russian Federation and the CIS countries is carried out using methods developed back in the 60s of 20th century. The use of modern methods of data mining in calculating standards involves a preliminary study and selection of factors that have a significant impact on the amount of fuel and energy resource consumption.

The study is aimed at identifying differences in the nature of the impact of locomotive’s operation indicators, such as sectional and technical speed, train weight, axle load, on the amount of specific energy consumption for railway traction for various types of railway cargo rolling stock. Particular attention in the article is paid to determining the nature of the influence of factors on the specific energy consumption of container trains.

The work uses the Student’s t-test statistical data processing method used to determine the homogeneity of the studied samples, and the Pearson correlation analysis method for determining the coefficients of correlation between the specific energy consumption for railway traction and the factors that presumably affect the value of this consumption. The multiple linear regression method is used to build regression models describing the dependence of the specific energy consumption for train traction on the influencing factors under consideration.

The article contains the results of checking the homogeneity of the studied samples of specific energy consumption in the form of Student’s t-test values, scatter diagrams of the specific energy consumption depending on the value of the influencing factors, a description of the values of the calculated correlation coefficients for each studied group of cargo trains. The study also focuses on possible reasons entailing difference in the nature and degree of influence of factors for different types of cargo rolling stock.

The study argues for the need to develop a methodology for standard setting regarding consumption of fuel and energy resources for train traction, which allows considering the influence of train composition using modern data analysis methods.

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