scholarly journals Artificial intelligence methods to control the energy efficiency of electric rolling stock online

2020 ◽  
Vol 175 ◽  
pp. 05046
Author(s):  
Vasily Cheremisin ◽  
Stanislav Istomin ◽  
Artem Perestenko
Keyword(s):  
Artificial Intelligence ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Simulation Models ◽  
Automated System ◽  
Rolling Stock ◽  
Artificial Intelligence Methods ◽  
Electric Rolling Stock ◽  
Motion Parameters ◽  
Consumption Control

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.

scholarly journals The use of correlation and regression analysis for assessment of the energy effectiveness of the dc electric locomotives auxiliary equipment

2018 ◽  
Vol 239 ◽  
pp. 01038 ◽  
Author(s):  
Stanislav Istomin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Electricity Consumption ◽  
Technical Condition ◽  
Rolling Stock ◽  
Multiple Regression Equation ◽  
Electric Locomotive ◽  
Distribution Law ◽  
Auxiliary Equipment ◽  
Environment Temperature

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.

scholarly journals The Assessment of Energy Efficiency versus Planning of Rail Freight Traffic: A Case Study on the Example of Poland

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5629
Author(s):  
Piotr Gołębiowski ◽  
Marianna Jacyna ◽  
Andrzej Stańczak
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Negative Impact ◽  
Rail Transport ◽  
Rolling Stock ◽  
Railway Network ◽  
Rail Freight ◽  
Freight Traffic ◽  
Efficient Planning

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.

Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review

2017 ◽  
Vol 70 ◽  
pp. 1108-1118 ◽  
Author(s):  
Mohammad Azhar Mat Daut ◽  
Mohammad Yusri Hassan ◽  
Hayati Abdullah ◽  
Hasimah Abdul Rahman ◽  
Md Pauzi Abdullah ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Energy Consumption ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Artificial Intelligence Methods ◽  
Forecasting Analysis

scholarly journals Simulation of processes of electric power consumption for traction in conditions of changing the traffic schedule of freight trains at the electrified sections

2018 ◽  
Vol 239 ◽  
pp. 01034
Author(s):  
Vladislav Nezevak ◽  
Elena Sidorova ◽  
Yury Demin
Keyword(s):  
Energy Efficiency ◽  
Electric Power ◽  
Simulation Modeling ◽  
Network Models ◽  
Rolling Stock ◽  
Neural Network Models ◽  
Electric Rolling Stock ◽  
Traction Power Supply System ◽  
Traction Power Supply ◽  
Comparison Of The Results

The paper is devoted to the solution of the problem of increasing the energy efficiency of the transportation process on the electrified sections of the railways. The task is considered in the aspect of energy efficiency when comparing forecasted traffic schedules with each other and assessing the effectiveness of implementing the forecasted and executed schedule of train traffic at the section. The basis for the calculations is a simulation modeling of the interaction between the electric rolling stock and the traction power supply system at the sections with different track profiles. Simulation modeling was carried out for the conditions of changing the traffic schedule of freight trains and maintaining the amount of traffic and the amount of work unchanged. The results of the change in the amount of electric power for traction and the level of unbalance of energy for existing sections of constant and alternating current are used as the basis for construction of approximating models, in the function of which regression and neural network models are used. Comparison of the results of approximation of the considered models for the estimation of changes in amount of electric power for traction and unbalance is made. Models with the best results of approximation to simulation results are determined.

scholarly journals Railway Vehicle Energy Efficiency as a Key Factor in Creating Sustainable Transportation Systems

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5211
Author(s):  
Małgorzata Ćwil ◽  
Witold Bartnik ◽  
Sebastian Jarzębowski
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Life Cycle Cost ◽  
Real Life ◽  
Transportation Systems ◽  
Sustainable Transportation ◽  
Rolling Stock ◽  
Railway Vehicle ◽  
Railway Transportation ◽  
Significant Difference

Railway transit forms the backbone of sustainable transportation systems, which are necessary to limit the effects of global warming. In this paper, the authors seek to determine whether there is a statistically significant difference in energy consumption between distinct railway vehicle types. Firstly, the energy consumption measurement methods in the railway transportation sector are described and compared to each other in respect to precision and cost. Secondly, the use of energy consumption as a criterion in rolling stock tenders with the associated norm is analysed, particularly with regard to the life-cycle cost of railway vehicles. In the next part real life data on energy consumption of six distinct passenger electrical railway vehicle types is presented and analysed in order to compare the efficiency of different types of rolling stock. The differences in energy efficiency between rolling stock types may be used to improve the procurement process ensuring train operating companies obtain less energy-consuming vehicles.

scholarly journals The Role and Place of Traditional Chimney System Solutions in Environmental Progress and in Reducing Energy Consumption

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4720
Author(s):  
Dariusz Bajno ◽  
Łukasz Bednarz ◽  
Agnieszka Grzybowska
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Fossil Fuels ◽  
Global Climate ◽  
Current Trend ◽  
Simulation Models ◽  
Energy Performance ◽  
Heat Losses ◽  
Building Structures ◽  
Wide Range

Buildings, energy, and the environment are key issues facing construction around the world. The energy efficiency of buildings is a key topic when it comes to reducing the world’s energy consumption, releasing harmful gases, and global climate change, as they consume about 40% of the world’s energy supplies. Heat losses in buildings reduce the energy performance of buildings and are basically important to them. In the paper, the authors focus on the main problems related to heat losses generated by chimney systems, which are inseparable equipment of building structures, resulting in lower energy efficiency and, at the same time, technical efficiency and durability of the building partitions themselves. Authors present thermal imaging with its contribution to the detection of heat losses, thermal bridges, insulation problems, and other performance disturbances, and then verifications using appropriate simulation models. The mathematical apparatus of artificial neural networks was implemented to predict the temperature distributions on the surfaces of prefabricated chimney solutions. In Europe, we can often find a large building substance equipped with traditional chimneys, which disrupts the current trend of striving to reduce energy consumption, especially that derived from fossil fuels. Speaking of energy-efficient buildings, one should not ignore those that, without additional security and modern installations, are constantly used in a very wide range. Therefore, the article deals with an essential problem that is not perceived in design studies and during the operation period as having a basis in incorrect architectural solutions and which can be easily eliminated. It concerns the cooling of internal partitions of buildings on their last storeys, in places where chimneys are located, regardless of their function. The authors of the paper decided to take a closer look at this phenomenon, which may allow the limiting of its effects and at the same time reduce its impact on the energy performance of technologically older buildings.

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