The influence of motion parameters of automated guided vehicle on energy consumption

2006 ◽  
Author(s):  
Marcin Kędzior
Keyword(s):  
Energy Consumption ◽  
Automated Guided Vehicle ◽  
Motion Parameters

scholarly journals DETERMINATION OF EXTREME TRAIN RUNNING PARAMETERS ALONG A RAILWAY LINE SEGMENT

Transport ◽  
2006 ◽  
Vol 21 (2) ◽  
pp. 123-130 ◽  
Author(s):  
Jonas Jonaitis
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Point Of View ◽  
Parameters Optimization ◽  
Optimal Parameters ◽  
Total Energy Consumption ◽  
Railway Line ◽  
Decision Variables ◽  
Motion Parameters

It is possible to select train‐car draft mass and traction vehicle parameters for technical speed νt along segment sk in such a way that unitary total energy consumption related to train‐car mass would be the lowest. Such running is called extreme running while traction vehicle parameters and train‐car mass are called optimal from the point of view of energy consumption. The optimization of traction vehicle parameters is possible if a mathematical traction vehicle model is added to the running program and then vehicle parameters are made variable and added to motion parameters as subsequent decision variables within train running program. Together with the train motion parameters optimization traction vehicle parameters should be optimized according to the criterion of unitary total energy consumption related to train‐car mass. Traction vehicle optimal parameters depend on train technical speed, length and profile of segment , as well as, on train‐car mass.

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 Optimization of mechatronic drives motion laws for automated equipment

2021 ◽  
Vol 2061 (1) ◽  
pp. 012041
Author(s):  
O N Matsko
Keyword(s):  
Energy Consumption ◽  
Cycle Time ◽  
High Speed ◽  
Input Data ◽  
Inertial Load ◽  
Drive Power ◽  
Maximum Acceleration ◽  
Instantaneous Power ◽  
Motion Parameters ◽  
The Law

Abstract At present, when designing mechatronic cyclic drives the developer as a rule chooses the law of motion, specifying as input data, the cycle time and the amount of movement and often introducing restrictions, for example, on maximum acceleration in case of developing high-speed drives. However, this approach leads to an overestimation of the maximum drive power and, as a result, a significant increase in energy consumption. In this paper it is shown that by choosing a rational law of motion of the drive at the stage of equipment design, it is possible to achieve a sufficiently effective optimization according to various criteria. The efficiency of optimization of different motion laws of cycle drives according to various criteria is analyzed. The dependences between the maximum instantaneous power, the amount of movement, the speed and energy consumption are established and graphically presented confirming the effectiveness of the rational choice of the law of motion parameters under an inertial load. At the same time, it is shown that when synthesizing the law of motion, it is necessary to take into account the maximum possible number of parameters so that the improvement of some parameters does not lead to a decrease in other parameters.

Lay Perceptions of Energy Consumption

2009 ◽  
Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin
Keyword(s):  
Energy Consumption ◽  
Lay Perceptions

Study on Energy Consumption by Land Cargo Transportation

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu
Keyword(s):  
Energy Consumption ◽  
Cargo Transportation

Interference mitigation in point to point wireless sensor networks using LSP protocol and time division multiplexing approach

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana
Keyword(s):  
Energy Consumption ◽  
Large Scale ◽  
Control Parameter ◽  
Interference Mitigation ◽  
Wireless Sensor ◽  
Point To Point ◽  
A Minor ◽  
Two Stages ◽  
Time Division ◽  
And Control

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.

Influence of trees on the energy consumption of a social housing in mid-western Brazil

2019 ◽  
pp. 53-65
Author(s):  
Renata Domingos ◽  
Emeli Guarda ◽  
Elaise Gabriel ◽  
João Sanches
Keyword(s):  
Energy Consumption ◽  
Solar Radiation ◽  
Thermal Comfort ◽  
Air Conditioning ◽  
Computational Simulation ◽  
Building Energy ◽  
General Idea ◽  
Heat Island ◽  
Study Region ◽  
Ample Evidence

In the last decades, many studies have shown ample evidence that the existence of trees and vegetation around buildings can contribute to reduce the demand for energy by cooling and heating. The use of green areas in the urban environment as an effective strategy in reducing the cooling load of buildings has attracted much attention, though there is a lack of quantitative actions to apply the general idea to a specific building or location. Due to the large-scale construction of high buildings, large amounts of solar radiation are reflected and stored in the canyons of the streets. This causes higher air temperature and surface temperature in city areas compared to the rural environment and, consequently, deteriorates the urban heat island effect. The constant high temperatures lead to more air conditioning demand time, which results in a significant increase in building energy consumption. In general, the shade of the trees reduces the building energy demand for air conditioning, reducing solar radiation on the walls and roofs. The increase of urban green spaces has been extensively accepted as effective in mitigating the effects of heat island and reducing energy use in buildings. However, by influencing temperatures, especially extreme, it is likely that trees also affect human health, an important economic variable of interest. Since human behavior has a major influence on maintaining environmental quality, today's urban problems such as air and water pollution, floods, excessive noise, cause serious damage to the physical and mental health of the population. By minimizing these problems, vegetation (especially trees) is generally known to provide a range of ecosystem services such as rainwater reduction, air pollution mitigation, noise reduction, etc. This study focuses on the functions of temperature regulation, improvement of external thermal comfort and cooling energy reduction, so it aims to evaluate the influence of trees on the energy consumption of a house in the mid-western Brazil, located at latitude 15 ° S, in the center of South America. The methodology adopted was computer simulation, analyzing two scenarios that deal with issues such as the influence of vegetation and tree shade on the energy consumption of a building. In this way, the methodological procedures were divided into three stages: climatic contextualization of the study region; definition of a basic dwelling, of the thermophysical properties; computational simulation for quantification of energy consumption for the four facade orientations. The results show that the façades orientated to north, east and south, without the insertion of arboreal shading, obtained higher values of annual energy consumption. With the adoption of shading, the facades obtained a consumption reduction of around 7,4%. It is concluded that shading vegetation can bring significant climatic contribution to the interior of built environments and, consequently, reduction in energy consumption, promoting improvements in the thermal comfort conditions of users.

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