scholarly journals OVERVIEW OF DISTANCE ENERGY TRANSMISSION MEANS FOR POWERING AGRICULTURAL MACHINERY TAKING INTO ACCOUNT FACTORS AFFECTING HUMAN SAFETY

2021 ◽  
Vol 4 (164) ◽  
pp. 10-13
Author(s):  
V. Halil ◽  
S. Zakurdai ◽  
V. Scurikhin ◽  
O. Donets ◽  
D. Zubenko

This article discusses the issues of autonomous operation of electrical agricultural equipment based on the transmission of electricity over a distance. The main point of this article is that tractors that work in the field are driven by electric motors, with the need to use expensive batteries. The issues of the impact and safety of this technology on the environment and humans are considered. The main problem of the creation, maintenance and operation of transport equipment, including agricultural equipment, is the high cost of maintenance and fuel, which are constantly increasing. In addition, the environmental problem, which has become so acute in recent years, global warming, the fuel crisis and the need to transfer all transport equipment to electric traction, make us look for new ways to solve the problem of environmental pollution and save resources, especially non-renewable energy sources. The use of electrical energy for traction of agricultural machinery that work in the fields or in other industries has been used for a long time, and in the early stages of the development of transport, it was electric transport that occupied the main part, before the invention of the internal combustion engine. Including at the Kharkov Tractor Plant there were developments (and still are), a prototype of the use of electric motors as the main unit for movement. Based on the above, it is obvious that electric traction for transport is obviously environmentally friendly and safe, although there are a number of limitations in this matter as well, but the unresolved problems of the limited use of the storage battery force us to look for new sources of energy. This article proposes to consider the possibility of using electric traction for agricultural machinery with the supply of operating tractors in the fields with the help of a directed electromagnetic wave with its transformation into electrical energy, which will be supplied to the electric motor.

Author(s):  
Fouad Kamel ◽  
Marwan Marwan

The chapter describes a dynamic smart grid concept that enables electricity end-users to be acting on controlling, shifting, or curtailing own demand to avoid peak-demand conditions according to information received about electricity market conditions over the Internet. Computer-controlled switches are used to give users the ability to control and curtail demand on a user’s premises as necessary, following a preset user’s preferences. The computerized switching provides the ability to accommodate local renewable energy sources as available. The concept offers further the ability to integrate charging electrical vehicles during off-peak periods, helping thus substantially improving the utilization of the whole electricity system. The approach is pursuing improved use of electrical energy associated with improved energy management, reduced electricity prices and reduced pollution caused by excessive use of combustion engine in transport. The technique is inherently restricted to take effect in frame of energy tariff regimes based on real-time price made to encourage and reward conscious users being proactively participating in holistic energy management strategies.


2019 ◽  
Vol 11 (23) ◽  
pp. 6585 ◽  
Author(s):  
Markiewicz ◽  
Muślewski

The application of fuels from renewable energy sources for combustion engine powering involves a great demand for this kind of energy while its production infrastructure remains underdeveloped. The use of this kind of fuel is supposed to reduce the emission of greenhouse gases and the depletion of natural resources and to increase the share of renewable energy sources in total energy consumption and thus support sustainable development in Europe. This study presents the results of research on selected performance parameters of transport by internal combustion engines including: power, torque, the emission of sound generated by the engine, the content of exhaust components (oxygen O2, carbon monoxide CO, carbon dioxide CO2, nitrogen dioxide NO2), and the content of particulate matter (PM) in exhaust emission. Three self-ignition engines were tested. The fuel injection controllers of the tested internal combustion engines were additionally adjusted by increasing the fuel dose and the load of air. The material used in the tests were mixtures of diesel oil and fatty acid methyl esters of different concentration. A statistical analysis was performed based of the results. The purpose of the work was to develop a resulting model for assessing the operation of engines fueled with biofuel and diesel mixtures while changing the vehicle's computer software. A computer simulation algorithm was also developed for the needs of the tests which was used to prognose the state of the test results for variable input parameters.


2013 ◽  
pp. 1614-1639
Author(s):  
Fouad Kamel ◽  
Marwan Marwan

The chapter describes a dynamic smart grid concept that enables electricity end-users to be acting on controlling, shifting, or curtailing own demand to avoid peak-demand conditions according to information received about electricity market conditions over the Internet. Computer-controlled switches are used to give users the ability to control and curtail demand on a user’s premises as necessary, following a preset user's preferences. The computerized switching provides the ability to accommodate local renewable energy sources as available. The concept offers further the ability to integrate charging electrical vehicles during off-peak periods, helping thus substantially improving the utilization of the whole electricity system. The approach is pursuing improved use of electrical energy associated with improved energy management, reduced electricity prices and reduced pollution caused by excessive use of combustion engine in transport. The technique is inherently restricted to take effect in frame of energy tariff regimes based on real-time price made to encourage and reward conscious users being proactively participating in holistic energy management strategies.


2013 ◽  
Vol 210 ◽  
pp. 200-205 ◽  
Author(s):  
Sławomir Wierzbicki

Electrical energy production from renewable energy sources is currently one of the key directions of conducted research. This paper describes a developed laboratory control system for the operation of a dual-fuel compression ignition engine in which the main fuel charge is fed in the form of biogas with variable composition, it also describes a system enabling the measurement of waste heat from this engine.


2019 ◽  
Vol 124 ◽  
pp. 05077 ◽  
Author(s):  
A.E. Auhadeev ◽  
R.G. Idiyatullin ◽  
P.P. Pavlov ◽  
V.M. Butakov ◽  
L.N. Kisneeva ◽  
...  

Research shows that the existing theory and methods for calculating rational operating modes of traction electrical equipment do not provide a sufficient level of adequacy under real operating conditions of urban electric transport, which is due to the high complexity of the processes and the lack of a sufficiently developed methodology for their interpretation in industry theory. The purpose of the study was researching the process of electric traction as a result of transformation electrical energy in purposeful mechanical movement of electric rolling stock with the implementation of all technological conditions of production and technical system of urban electric transport. The scientific hypothesis that the modes of operation of electric traction equipment as part of an automated electric drive of the rolling stock of urban electric transport are formed under the influence of a complexly organized technological process of electric traction and are the topological basis of its structure is theoretically substantiated. The main result of the research is the formulated theoretical system which allows us to present the process of electric traction as a system consisting of five levels that are in hierarchical relations and solve each specific problem of building the movement of electric transport. Such an approach will contribute to the development of theory and methods for calculating rational operating modes of traction electrical equipment of urban electric transport, the improvement of the energy efficiency of which is the actual scientific problem.


2020 ◽  
Vol 142 (5) ◽  
Author(s):  
Yong Li ◽  
Salim Qadir Mohammed ◽  
Goran Saman Nariman ◽  
Nahla Aljojo ◽  
Alireza Rezvani ◽  
...  

Abstract Different distributed generation (DG) technologies, active loads, and storage devices create an independent microgrid (MG). Scheduling of an MG is an important issue in renewable energy sources (RESs) based systems. In this paper, MGs include RESs, plug-in hybrid electric vehicles (PHEVs), and electrical energy storage systems. The proposed scheduling framework utilizes the Monte Carlo simulation (MCS) to characterize the uncertain parameters of PHEVs and RESs. Three different charging strategies are investigated for modeling the impact of different behaviors of PHEVs in MGs. These schemes are smart, controlled, and uncontrolled charging. Due to the nonlinear feature of the suggested optimization problem, it needs an efficient optimization tool to tackle the problem appropriately. So, this paper uses the backtracking search optimization (BSO) algorithm for the short-term scheduling of an MG. The proper performance of the offered scheme is investigated in two scenarios with different time horizons. The BSO algorithm and other optimization algorithms are used for comparing the results to verify the presented method in solving the energy management problem of the MGs.


Caused by the need to replace internal combustion engines (ICEs) with emissions of harmful substances into the atmospheric air, the search for technological alternatives led to the need to use electricity generated and sold from various, including renewable energy sources. Keywords alternative; electricity; hybridization; electric transport


Author(s):  
Fábio C. Barbosa

Abstract The transport industry, as any other sector, has been permanently challenged by both the continuously stringent environmental standards and the energy efficiency requirements, which has driven a set of initiatives focused on both the fuel burn reduction and the environmental performance improvement. The rail sector currently relies on the efficient and local zero emission electrical traction for the medium to heavy density corridors. However, for the light to medium density corridors (both passenger and freight), given the high upfront costs associated with the electrical infrastructure, they are currently required to rely on fossil fuel based traction (often, the diesel-electric) architecture, with an inherent efficiency and environmental burden. The advent of hybridization, i.e. the use of more than one power source in a powertrain (mainly — but not restricted to — an internal combustion engine (ICE) and electric motors (EM), associated with an electrical energy storage device - ESD) — currently a feasible approach for the automotive sector — has opened the way for the rail industry, as an opportunity to improve the energetic efficiency and reduce the environmental footprint for the aforementioned low to medium density rail corridors, without the cost burden of an electrical infrastructure. The hybrid powertrain efficiency drivers are basically: i) kinetic energy recovery, through the use of the regenerative braking (i.e. using electric motors as generators, to recover part of the train’s kinetic energy); ii) improved engine performance, avoiding the low efficiency (low load) engine range and iii) engine downsizing (engine power requirement reduction, as it is assisted by the electric traction on power bursts). From an environmental perspective, the reduced fuel consumption also means lower emissions. Moreover, hybrid configurations might also reduce noise and gaseous engine emissions within/nearby stations or urban rail yards, by switching off internal combustion engines, running the train and powering auxiliary systems with the previously stored electrical energy on the ESD. Finally, for electrified rail lines, the hybrid rail configuration might also provide the so called last mile capability, used to circumvent non electrified rail stretches, like bridges or tunnels, as well as small extension non electrified rail segments. This work presents a review of hybrid rail technology, covering hybrid configuration and energy storage devices, from both a technical, operational and environmental perspective, supported on current available technical literature, as well as on simulation and field test reports, followed by a near to mid term outlook of hybrid rail technology for both freight and passenger segments.


2019 ◽  
Vol 124 ◽  
pp. 05078
Author(s):  
A.E. Auhadeev ◽  
R.S. Litvinenko ◽  
V.P. Fandeev ◽  
P.P. Pavlov ◽  
V.M. Butakov ◽  
...  

Modern methods for analyzing and assessing the reliability of complex technical systems consider only its individual elements. The specifics of structural-functional interactions and integration into subsystems of different hierarchical levels are not taken into account. Studies show that analyzing the reliability of urban electric transport, also focus on individual components: the reliability of electric traction rolling stock, the reliability of the power supply system, the reliability of the track infrastructure, etc. The authors propose an approach that allows to consider urban electric transport as a complex technical system consisting of several levels that are hierarchically subordinate. Each level combines the components directly involved in the transmission and transformation of electric power into mechanical operation of the rolling stock under the influence of the external environment by means of traction electrical equipment. This approach will allow to develop the theoretical foundations of methods for analyzing the impact of the reliability of individual components of a complex technical system of urban electric transport on the effectiveness of the electric traction implementation.


2021 ◽  
Vol 13 (18) ◽  
pp. 10042
Author(s):  
S. Tamilselvi ◽  
S. Gunasundari ◽  
N. Karuppiah ◽  
Abdul Razak RK ◽  
S. Madhusudan ◽  
...  

The growing demand for electrical energy and the impact of global warming leads to a paradigm shift in the power sector. This has led to the increased usage of renewable energy sources. Due to the intermittent nature of the renewable sources of energy, devices capable of storing electrical energy are required to increase its reliability. The most common means of storing electrical energy is battery systems. Battery usage is increasing in the modern days, since all mobile systems such as electric vehicles, smart phones, laptops, etc., rely on the energy stored within the device to operate. The increased penetration rate of the battery system requires accurate modelling of charging profiles to optimise performance. This paper presents an extensive study of various battery models such as electrochemical models, mathematical models, circuit-oriented models and combined models for different types of batteries. It also discusses the advantages and drawbacks of these types of modelling. With AI emerging and accelerating all over the world, there is a scope for researchers to explore its application in multiple fields. Hence, this work discusses the application of several machine learning and meta heuristic algorithms for battery management systems. This work details the charging and discharging characteristics using the black box and grey box techniques for modelling the lithium-ion battery. The approaches, advantages and disadvantages of black box and grey box type battery modelling are analysed. In addition, analysis has been carried out for extracting parameters of a lithium-ion battery model using evolutionary algorithms.


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