scholarly journals Estimation of energy efficiency of non-tractive rolling stock

Author(s):  
A. N. Komarova ◽  
Y. P. Boronenko
2017 ◽  
Vol 88 (10) ◽  
pp. 676-680 ◽  
Author(s):  
A. A. Zaitsev ◽  
A. M. Evstaf’ev ◽  
D. V. Pegov ◽  
A. V. Krylov

2018 ◽  
Vol 7 (4.3) ◽  
pp. 361 ◽  
Author(s):  
Andriy Sumtsov ◽  
Anatoliy Falendysh ◽  
Nataliya Chyhyryk ◽  
Oleg Vasilenko

This article is concerned with the problem of energy savings and rise of comfortableness of railway rolling stock. Done analysis has shown the insufficient paying attention to the energy efficiency of suburban rolling stock. In particular, to the problem of heat comfort for passengers. For this purpose, a procedure was carried out for the thermal audit of electric trains, taking into account the prevailing array of required indicators. To determine the sites of local heat losses, there was done the thermal-imaging inspection of the electrical train ER2 series during which it was determined the local sites of heat losses and entry of cold air. Besides the passenger compartment, there were inspected the outer body liner and driver's cabin. As a result of inspection of driver's cabin, it was found the bad quality of a sealing layer for side small windows from one side. On the basis of inspection, the recommendations for elimination of found irregularities were developed.   


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.


2021 ◽  
Vol 2131 (4) ◽  
pp. 042085
Author(s):  
T S Titova ◽  
A M Evstaf’ev ◽  
A A Pugachev

Abstract The review of technical solutions and schematic characteristics of auxiliary drives for traction vehicles has shown that the most rational variant is an electric drive with an induction machine. Given the operating modes of the auxiliary drives and the share of their power consumption in the total locomotive power, the task of using scalar control systems for induction machines becomes relevant. Based on a mathematical model describing the dynamic energy conversion processes in the T-shape substitution circuit of an induction motor, taking into account stator steel losses and current displacement effects in the rotor winding and saturation along the main magnetic path, possibilities for reducing stator current have been investigated. In order to improve the energy efficiency of electric drives two variants of control system have been proposed. One based on search method of self-tuning to the stator current minimum and the other - on maintaining the power factor of induction motor at the level that ensures equality of active and reactive components of stator current. The hardware and software requirements for implementing control systems have been analysed. Modelling using Matlab has shown that both control systems work - power loss reduction can be as low as 50% and as high as 60% in certain modes.


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5629
Author(s):  
Piotr Gołębiowski ◽  
Marianna Jacyna ◽  
Andrzej Stańczak

The issues addressed by the article concern the assessment of energy efficiency in rail transport, resulting from the proper organization of rail traffic. The problems related to energy consumption and, thus, the negative impact of rail transport on the natural environment are highly significant in terms of the green deal concept, climate change and sustainable development. In this article, energy efficiency is investigated in the context of minimizing the energy consumption necessary to satisfy a specific transport requirement. The essence of this article is to present an approach to energy-efficient planning of rail freight traffic. This article aims to develop a method covers the allocation of railway vehicles dedicated to freight traffic (locomotives and railcars) to perform a defined transport task, taking into account the energy efficiency assessment of the solution, routing the train launched with regard to the accomplishment of the defined transport task on the railway network, and determining the conditions of transport for a defined transport task, taking into account the allocated rolling stock (locomotives and railcars) and the route. In this article, based on the presented state of knowledge, a decision-making model has been proposed, including the model’s parameters, the values being searched for, indicators for assessing the quality of the solution, as well as the limitations and boundary conditions of the problem. The function of minimizing the energy consumption necessary to transport a shipment within the railway network (determining the energy efficiency of the proposed solution) has been proposed as the criterion. In addition, a description of the proprietary method of selecting rolling stock for accomplishing tasks, based on the assessment of the energy efficiency of the solution and a case study illustrating the operation of the method on the example of the area of Poland, has been presented.


2020 ◽  
Vol 17 (4) ◽  
pp. 449-464
Author(s):  
N. P. Kalinin ◽  
◽  
M. Yu. Obukhov ◽  

Objective: To increase the energy effi ciency of the Russian multi-unit rolling stock of railways by installing electric energy storage devices. Methods: The goal is achieved by applying integrated approach method to the problem of multi-unit rolling stock energy efficiency, with focus on the practical signifi cance and economic feasibility of the results. Results: The solutions produced can serve as a basic concept for the modernization of domestic rolling stock. Practical importance: Concepts of an electric train with electric energy storage units based on Russian electric trains have been developed in order to increase their energy efficiency.


2019 ◽  
Vol 110 ◽  
pp. 01017 ◽  
Author(s):  
Andrew Lyudagovsky ◽  
Alexey Loktev ◽  
Vadim Korolev ◽  
Irina Shishkina ◽  
Diana Alexandrova ◽  
...  

When modeling temperature fields in details of different geometry on the basis of the obtained calculations, the graphs of temperature dependence on the power of the source and the thickness of the deposited layer, non-contact measurement of temperatures in the working area and the sub-sequent calculation of temperature fields allow describing the thermal processes in the electromagnetic surfacing in the first approximation. The determination of temperatures should be carried out taking into account the accumulation of heat by an infinite cylinder with a constant source evenly distributed over its lateral surface.


2020 ◽  
Vol 175 ◽  
pp. 05046
Author(s):  
Vasily Cheremisin ◽  
Stanislav Istomin ◽  
Artem Perestenko

The international practices in organizing the energy consumption control of electric rolling stock are analyzed. As a result, it was concluded that currently the issue of organizing the energy consumption control of electric rolling stock is mainly solved by using analytical methods. These methods are based on designing the simulation models, which are usually based on the Pontryagin maximum principle. However, considering the development of recording systems for motion parameters of electric rolling stock, as well as other automated systems of Russian Railways, it seems promising to develop and study artificial intelligence methods and algorithms for solving real-time monitoring issues of electric rolling stock energy consumption. It was also determined that the most modern motion parameter recorders have a number of significant drawbacks from the data analysis point of view. Such drawbacks include insufficient data and their low reliability, lack of linking the recorded data to trips and locomotive teams, the impossibility of choosing a constant interval for recording measurement results. Moreover, there is also high probability of errors when recording data on the cartridge, lack of GPS/GLONASS satellite navigation system, lack of wireless data transmission, imperfection of software and inconvenience of exporting data from a cartridge file and its incompleteness. In order to test the energy efficiency assessment of electric rolling stock within the limits of arbitrary energy tracking areas, the Corresponding software was developed on the basis of data from the motion parameters recorders. However, developing the new complex automated system is required for the full implementation of the proposed consumption tracking method. Such system should combine the entire set of measured parameters, both for electric rolling stock and for the traction power supply system.


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