MODELLING OF ENERGY CONSUMPTION OF A HYBRID DIESEL-ELECTRIC LOCOMOTIVE

Author(s):  
Е.А. Новик ◽  
М.В. Ярославцев
2018 ◽  
Vol 239 ◽  
pp. 01038 ◽  
Author(s):  
Stanislav Istomin

Through additional processing of the modern movement parameter recorders data of the DC electric locomotive 2ES6 the article first presents the results of the actual consumption of electricity for own needs and the proportion of these costs from the consumption of trains traction is determined, which in terms of operational depot is difficult to implement. The estimation of influencing factors on the energy consumption for own needs of 2ES6 series electric locomotives is made. As a result it was found that the internal energy consumption is influenced by such factors as rolling stock mass, axle load and environment temperature. Statistic models were made to normalize internal electricity consumption and their quality estimation was fulfilled. It is found that the remainders of the multiple regression equation, which take the above factors into account, obey the normal distribution law, indicating the adequacy of their further use to assess the energy efficiency of the 2ES6 series DC electric locomotives auxiliary equipment. The use of regression models will allow to identify electric locomotives with auxiliary equipment with low energy efficiency and to send them to unscheduled repairs in time to restore the required technical condition.


2014 ◽  
Vol 63 (3) ◽  
pp. 1032-1040 ◽  
Author(s):  
Clement Mayet ◽  
Julien Pouget ◽  
Alain Bouscayrol ◽  
Walter Lhomme

Innotrans ◽  
2020 ◽  
pp. 61-66
Author(s):  
Alexander A. Baklanov ◽  
◽  
Kirill I. Domanov ◽  
Nikolay V. Esin ◽  
Stanislav G. Istomin ◽  
...  

The principles and criteria for classifying factors that affect the power consumption of a train with an electric locomotive are formulated. Based on the analysis of the energy balance, the interconversions of various types of energy and the energy diagrams that characterize them in different modes of train movement are considered. The analysis made it possible to identify the factors that affect the power consumption of the train in all modes of movement, and evaluate them according to various criteria. A classification of factors affecting the train power consumption is proposed, which allows us to justify the correct method of accounting for each factor, as well as to develop measures to reduce the influence of individual factors on the train energy consumption.


Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu

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