Analysis of the application of regression models for the estimation of the energy efficiency of the auxiliary equipment of the suburban electric trips of the direct current of the ED4M

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.

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Performance Study of DC Compressor for Automotive Air Conditioning System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.614-615.674 ◽

2012 ◽

Vol 614-615 ◽

pp. 674-677

Author(s):

Nasution Henry ◽

M.H.Z. Yamani ◽

K. Sumeru

Keyword(s):

Energy Efficiency ◽

Direct Current ◽

Electric Motor ◽

Air Conditioning ◽

Engine Speed ◽

Cooling Capacity ◽

Performance Study ◽

Air Conditioning System ◽

Automotive Air Conditioning ◽

Automotive Air Conditioning System

The automotive air conditioning compressor (AAC) is belt-driven by the engine. The compressor speed is directly proportional to the engine speed. Therefore, the cooling capacity will vary as the engine speed changes. To meet the air conditioning (AC) demand, the compressor continually cycles on and off. In the research, the compressor of the AAC is driven by an electric motor which in turn is operated by electrical battery (12 volt). The use of direct current compressor (DCC) is seen as a solution of the existing system. Using the proposed system, DCC gets significant improvements in energy efficiency. Compared with AAC system, the energy conservation effect is about 77.5% to 86.35%.

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Forecasting and verification of railway transport energy efficiency key indicators

Herald of the Ural State University of Railway Transport ◽

10.20291/2079-0392-2021-1-46-54 ◽

2021 ◽

pp. 46-54

Author(s):

A. L. Kashtanov ◽

◽

A. A. Komyakov ◽

M. M. Nikiforov ◽

◽

...

Keyword(s):

Energy Efficiency ◽

Regression Models ◽

Energy Intensity ◽

Heuristic Method ◽

Energy Strategy ◽

Railway Transport ◽

Average Mass ◽

Main Indicator ◽

Production Activity ◽

Key Indicators

The article reflects the issues of forecasting the target indicators of energy efficiency on the example of JSC «Russian Railways». The approaches selected for assessing the quantitative values of the key performance indicators of the Russian Railways holding in the development of the Energy Strategy for the period up to 2020 and for the future up to 2030 are considered. The accepted methods are conventionally classified into four groups, including: a heuristic method based on the analysis of time trends, an indirect method based on known values of indicators and using mathematical models. The method of forecasting the specific consumption of electricity and diesel fuel for train traction and the energy intensity of the production activity of JSC «Russian Railways» is considered in detail. Regression models have been developed that characterize the dependence of the specific fuel and energy consumption on such indicators as the volume of transportation work, the average mass of the train, and the share of freight work in the total work. In order to assess the accuracy of the obtained forecast values of the indicators included in the energy strategy of JSC «Russian Railways», they were verified by the results of 2017-2019. The results obtained allow us to speak about the sufficient effectiveness of the approaches considered in the article to predict the KPI of JSC «Russian Railways». The error in forecasting the main indicator of energy efficiency of JSC «Russian Railways» - the energy intensity of production activities - was 0,06 %.

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Fault-Tolerant Battery Power Network Architecture of Networked Swappable Battery Packs in Parallel

Energies ◽

10.3390/en14102841 ◽

2021 ◽

Vol 14 (10) ◽

pp. 2841

Author(s):

Chung-Jen Chou ◽

Shyh-Biau Jiang ◽

Tse-Liang Yeh ◽

Chein-Chung Sun

Keyword(s):

Energy Efficiency ◽

Direct Current ◽

Fault Tolerant ◽

Management Control ◽

Battery Pack ◽

Power Network ◽

Power Bus ◽

Battery Power ◽

Battery Packs

To improve the reliability and energy efficiency of battery swapping, we constructed a battery power network system with active redundancies and with multiple battery management controllers (one in each newly developed smart redundant battery pack). Each pack is getting ready to assume the role of the major to coordinate direct safe mounting of the packs onto the power bus for load sharing or charging without the need for a direct current to direct current converter. This fault-tolerant architecture provides multiple backups in both management control and power supply. To verify this design, the mounting, insertion, and removal of the battery packs were executed during charging and discharging. Battery packs can be swapped on and off safely at any time regardless of their charging states. Battery packs can be direct safe mounted onto the power bus by a threshold algorithm. With each mount on event, the equivalent output energy conversion efficiency ranges from 98.3% to 99.2% throughout the transient. Moreover, when the major battery pack fails or gets removed, other battery packs can indeed assume the role of major safely. The reliability, energy efficiency, and safety of our system were verified.

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Improvement in Energy Efficiency by Implementing Direct Current Based Nano-grid and Its Impact on Manufacturing Industry

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.a9237.119119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 5231-5233

Keyword(s):

Energy Efficiency ◽

Direct Current ◽

Manufacturing Industry ◽

Energy Generation ◽

Distribution Networks ◽

Energy Demands ◽

Proposed Model ◽

The Future ◽

Paradigm Shifting

Meeting the ever-increasing level of energy demands from residential, commercial and industrial consumers is not a trivial task. To satisfy these requirements, it is imperative to plan and design the future energy generation and distribution networks to be extremely efficient so that generated energy is utilized to its fullest extent. In this regard, direct current(DC) based nano-grids which are powered by Photovoltaic (PV) cells are proposed along with more bias towards DC mode consumption. In addition to that, paradigm-shifting changes in manufacturing industry can be initiated using this proposed model. This article covers the models, advantages and challenges of such approach.

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Energy efficiency analysis of operation of rectifying and inverter transformers for direct current traction substations

Transport of the Urals ◽

10.20291/1815-9400-2021-3-104-108 ◽

2021 ◽

pp. 104-108

Author(s):

Yuriy Pavlovich Neugodnikov ◽

◽

Ivan Pavlovich Neugodnikov ◽

Keyword(s):

Energy Efficiency ◽

Power Consumption ◽

Direct Current ◽

Efficiency Analysis ◽

Operation Modes ◽

Traction Substations ◽

Efficiency And Reliability ◽

Energy Efficiency Analysis

The paper considers schemes, main technical characteristics, parameters and operation modes of rectifying and inverter transformers that are used on direct current traction substations of the Sverdlovsk Railway. The authors have carried out an analysis of volumes of returned recuperation energy in relation to power consumption on traction of trains. As a result, the authors have determined a potential of recuperation on sections of the Sverdlovsk Railway. They have suggested main measures aimed at increase of energy efficiency and reliability of rectifying and inverter transformers operation.

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Flux Concentrators, Shields, and Susceptors

Elements of Induction Heating ◽

10.31399/asm.tb.eihdca.t65220241 ◽

1988 ◽

pp. 241-252

Keyword(s):

Energy Efficiency ◽

Magnetic Induction ◽

Induction Coil ◽

Heating Rates ◽

Auxiliary Equipment ◽

Increase Energy Efficiency ◽

High Heating ◽

Heating Pattern

Abstract To a large extent, the induction coil and its coupling to the workpiece determine the precise heating pattern that is developed. However, it is often desirable to modify this pattern in order to produce a special heating distribution or to increase energy efficiency. At other times, the high heating rates of induction are needed for processing nonconductors. This chapter describes broad methods of accomplishing such objectives: modification of the field of magnetic induction, use of devices to prevent auxiliary equipment or certain portions of a workpiece from being heated, and techniques to apply heating to electrically nonconductive materials. These methods make use of devices such as flux concentrators, shields, and susceptors. The chapter provides a description of the materials for these devices and guidelines for their application.

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