Intelligent Technologies for Efficient Power Supply in Transport Systems

Bosyi, Dmytro O.; Саблин, Олег Игоревич; Khomenko, I. Yu.; Kosariev, Yevhen; Kebal, Ivan; Myamlin, Sergii S.

doi:10.20858/tp.2017.12.se.5

Cited by 3 publications

(1 citation statement)

References 4 publications

(5 reference statements)

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“…На даний час цей потенціал використовується недостатньо. Частка НВДЕ в енергетичному балансі країни становить 7,2% (6,4% − позабалансові джерела енергії; 0,8% − відновлювальні джерела енергії) [1]. Один з шляхів вирішення вказаної про-блеми -приділення особливої уваги подальшому розвитку нетрадиційних та відновлюваних джерел енергії.…”

Section: вступunclassified

A Study of the Effectiveness of and Power Conversion Parameters on a Laboratory Bench «a Sun Tracker»

Lavrenyuk¹,

Evglevsky²,

Bosyi³

2018

LEPE

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магістранти кафедри Інтелектуальні системи електропостачання Дніпропетровський національний університет залізничного транспорту імені академіка В. Лазаряна Дніпро, Україна Д. О. Босий доцент кафедри Інтелектуальні системи електропостачання Дніпропетровський національний університет залізничного транспорту імені академіка В. Лазаряна Дніпро, Україна

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Section: вступunclassified

A Study of the Effectiveness of and Power Conversion Parameters on a Laboratory Bench «a Sun Tracker»

Lavrenyuk¹,

Evglevsky²,

Bosyi³

2018

LEPE

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Innovation Activity Development of Urban Public Transport Service Providers: Multifactor Economic and Mathematical Model

Borysova

Monastyrskyi

Zielińska

et al. 2019

MMI

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Systematization literary sources and approaches for solving the problem of ecologists of «smart» city indicates that among factors that probably can affect the innovativeness of Ukrainian providers of urban public transport services have been used environmental factor, marketing expenses, financial potential, wear rate, level of quality of service, level of management skills, market share, tariff for passenger transportation. The purpose of the study is to identify the ways to improve the innovativeness of urban public transport service providers of the regional centres of Ukraine. The main aim of the research is to estimate the impact of several factor variables on the resulting attribute used multivariate regression analysis, which provided an adequate model. A significant contribution to the development of the theory and methodology of management of urban public transport enterprises were made by Nunes, Krasnyanskiy, Umpleby, Walters, Huang, Morchadze. The results of the evaluation of the innovativeness of Ukrainian providers of urban public transport services carried out based on the mathematical multifactor model are presented in the article. In January-March 2018, the authors initiated a study on the current state of urban public transport in regional Ukrainian cities. Methodological tools of the research were multivariate correlation-regression analysis and survey (the requests for public information were submitted by the Law of Ukraine «On Access to Public Information» to all city councils of Ukraine's regions except temporarily occupied territories). The study included a survey of 20 experts (marketers and experienced managers of transport companies) to determine weighting factors and the level of innovativeness through questionnaires. The expert evaluation was carried out using the marks method. The research has shown that the size of the innovativeness of providers of public transport services can be successfully interpreted through functional and statistical dependencies, which reflect the general and individual laws of the development of such entities using multi-factor mathematical models. The econometric model was tested for the adequacy with the Fisher criterion and the presence of autocorrelation. The research empirically confirms and theoretically proves thatsuch controllable factors are an environmental factor, financial potential, level of quality of service, level of management skills, the tariff for passenger transportation. The model can be used to predict the influence of controllable factors at the level of the innovativeness of providers of urban public transport services. The results of the research can be useful for scientific and practical workers, teachers, students of higher educational establishments. Keywords: econometric model, factors of innovativeness, innovativeness, urban transport, ecologists.

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Efficiency of energy storage control in the electric transport systems

Саблин

Bosyi

Kuznetsov

et al. 2022

AoT

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The problems of storage and supplying the energy, together with reducing energy intensity for transport, are now crucial for developing sustainable and reliable transport systems. The energy network must be gradually adapted to new loads and power consumption patterns, especially in railways. The article aims to develop the simulation model to investigate the energy storage systems in its use in the electric transport infrastructure. The authors review selected technical solutions for electric energy storage in transport. The theoretical aspects of energy exchange in the energy storage systems were presented as a base for a continuous simulation model of electric transport power supply. In the non-periodic random voltage input applied to the storage unit, it is pro-posed to use the calculation method based on the Duamel integral to analyze its charge-discharge processes. The resistance functions were applied to analyze the traction power supply mode with variable in time and space by active loads. The simulation showed that the direct connection of the unit to the traction network significantly reduces the traction energy consumption.

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Intelligent Technologies for Efficient Power Supply in Transport Systems

Cited by 3 publications

References 4 publications

A Study of the Effectiveness of and Power Conversion Parameters on a Laboratory Bench «a Sun Tracker»

A Study of the Effectiveness of and Power Conversion Parameters on a Laboratory Bench «a Sun Tracker»

Innovation Activity Development of Urban Public Transport Service Providers: Multifactor Economic and Mathematical Model

Efficiency of energy storage control in the electric transport systems

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