scholarly journals Practical Model for Energy Consumption Analysis of Omnidirectional Mobile Robot

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1800
Author(s):  
Linfei Hou ◽  
Fengyu Zhou ◽  
Kiwan Kim ◽  
Liang Zhang
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Mobile Robot ◽  
Load Capacity ◽  
Working Environment ◽  
Energy Consumption Analysis ◽  
Mecanum Wheel ◽  
Save Energy ◽  
Energy Consumption Modeling ◽  
Robot Platform

The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment. While the Mecanum wheel robot has mobility, it also consumes more energy than ordinary robots. The power consumed by the Mecanum wheel mobile robot varies enormously depending on their operating regimes and environments. Therefore, only knowing the working environment of the robot and the accurate power consumption model can we accurately predict the power consumption of the robot. In order to increase the applicable scenarios of energy consumption modeling for Mecanum wheel robots and improve the accuracy of energy consumption modeling, this paper focuses on various factors that affect the energy consumption of the Mecanum wheel robot, such as motor temperature, terrain, the center of gravity position, etc. The model is derived from the kinematic and kinetic model combined with electrical engineering and energy flow principles. The model has been simulated in MATLAB and experimentally validated with the four-wheeled Mecanum robot platform in our lab. Experimental results show that the accuracy of the model reached 95%. The results of energy consumption modeling can help robots save energy by helping them to perform rational path planning and task planning.

scholarly journals Characteristics of asphalt mixes with FT additive

2012 ◽  
Vol 20 (1) ◽  
pp. 35-40
Author(s):  
S. Štefunková
Keyword(s):  
Energy Consumption ◽  
Low Temperature ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Environmental Effects ◽  
Asphalt Mixture ◽  
Working Environment ◽  
Gas Emissions ◽  
Asphalt Mixes ◽  
Save Energy

Characteristics of asphalt mixes with FT additiveThis article is focused on low-temperature asphalt mixture technologies using FT additive and RAP. The modern production and use of asphalt mixture technologies with reduced temperatures has many advantages. These advantages mainly help to save energy and the environment. Lower temperatures enable a reduction in energy consumption, a more acceptable working environment for workers, a reduction in negative environmental effects, such as greenhouse gas emissions, and an improvement in the workability of mixtures and a prolongation of their duration. This technology is currently becoming popular in many countries.

scholarly journals DYNAMIC VIRTUAL MACHINE MIGRATION USING RATIO-BASED METHOD

2020 ◽  
pp. 1-4
Author(s):  
Haresh Damjibhai Khachariya ◽  
Jayesh N. Zalavadia
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Power Consumption ◽  
Virtual Machines ◽  
Cloud Services ◽  
Virtual Machine Migration ◽  
Reduce Power Consumption ◽  
Efficient Resource ◽  
Cloud Datacenter ◽  
Save Energy

Cloud computing provides various services over the internet and its increasing day by day.Given the growing demands of cloud services, it requires a lot of computing resources to meet customer needs. So, the addition of energy consumption through cloud computing resources will increase day by day and become a key obstacle in the cloud environment.In cloud computing,data centers consume more energy and additionally release carbon dioxide into the atmosphere. To reduce energy consumption through the cloud datacenter, energy-efficient resource management is required. In this paper a specific technique for performing virtual machines through datacenter is given. Our goal is to reduce power consumption on the datacenter by reducing the host running in the cloud datacenter. To reduce power consumption, schedule the incoming task such a way that all the resources like ram,cpu(mips) and bandwidth utilize in equal weightage.Then after if any host is over utilized then migrate one or more vm from that host to another host as well as if any host is underutilize then migrate running vm of that host and switch off the under loaded host to save energy.

scholarly journals Power-minimization and energy-reduction autonomous navigation of an omnidirectional Mecanum robot via the dynamic window approach local trajectory planning

2018 ◽  
Vol 15 (1) ◽  
pp. 172988141875456 ◽  
Author(s):  
Li Xie ◽  
Christian Henkel ◽  
Karl Stol ◽  
Weiliang Xu
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Trajectory Planning ◽  
Autonomous Navigation ◽  
High Speed ◽  
Energy Reduction ◽  
New Energy ◽  
Mecanum Wheel ◽  
Major Factors ◽  
Window Approach

To improve the energy efficiency of the Mecanum wheel, this article extends the dynamic window approach by adding a new energy-related criterion for minimizing the power consumption of autonomous mobile robots. The energy consumption of the Mecanum robot is first modeled by considering major factors. Then, the model is utilized in the extended dynamic window approach–based local trajectory planner to additionally evaluate the omnidirectional velocities of the robot. Based on the new trajectory planning objective that minimizes power consumption, energy-reduction autonomous navigation is proposed via the combinational cost objectives of low power consumption and high speed. Comprehensive experiments are performed in various autonomous navigation task scenarios, to validate the energy consumption model and to show the effectiveness of the proposed technique in minimizing the power consumption and reducing the energy consumption. It is observed that the technique effectively takes advantage of the Mecanum robot’s redundant maneuverability, can cope with any type of path and is able to fulfil online obstacle avoidance.

scholarly journals Efficient energy consumption for indoor mobile robot prototype under illumination

2018 ◽  
Vol 197 ◽  
pp. 11016
Author(s):  
Seilla Angelina ◽  
Shofuro Afifah ◽  
Paramadina Susamti ◽  
Rizki Ardianto Priramadhi ◽  
Denny Darlis
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Power Consumption ◽  
Mobile Robot ◽  
Robot Navigation ◽  
Visible Light Communication ◽  
Mobile Robot Navigation ◽  
Energy Crisis ◽  
Lighting System ◽  
Large Power

In the next 20 years, energy consumption is expected to increase up to 30% and it will affect energy crisis. Energy crisis can be resolved by energy efficiency. The context of this paper is about the energy efficiency of a mobile robot in the industrial warehouse. Communications media which commonly used in mobile robot navigation such as Laser need large power consumption. In order to reduce power consumption, the system of this paper is designed to use visible light communication (VLC) for mobile robot navigation because VLC only utilize lights as the transmitter. Method of this paper is sending the data contained navigation coordinates which modulated on the lighting system, then data will be received by the photodetector and processed as mobile robot's navigation. From above system, by using 5,68-watt power on lighting system can be used to transmit navigation data with the range up to 2 meters. In the receiver side, a photodetector which uses as receiver generate maximum power 4,14 watt at 10 cm of height between transmitter and receiver while minimum generated power is 3,21 watt at 250 cm of height. The conclusion of this paper is generated power by a photodetector in navigation process mobile robot is affected by angle and distance between transmitter and receiver.

Energy Consumption Analysis of Pulverizing System in Coal-Fired Power Plant

2014 ◽  
Vol 988 ◽  
pp. 564-567
Author(s):  
Ji Li ◽  
Jun Wei
Keyword(s):  
Energy Consumption ◽  
Power Plant ◽  
Power Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Unit Power ◽  
Energy Consumption Analysis

Pulverizing system is the main energy-consumption equipment in coal-fired power plant, so it is of great significance to study energy-saving and optimization of pulverizing system. This paper first analyzes the situation and condition of pulverizing system in large-scale coal-fired power plant in China. According to analysis, coal mill and primary-air fan are the two main energy consumption facilities. Then their energy consumption characteristics, including power consumption and unit power consumption are studied. Subsequently, the energy-saving operation proposal for the pulverizing system is proposed.

Energy consumption simulation of green building based on BIM system and improved neural network

2021 ◽  
pp. 1-12
Author(s):  
Chenguang Liu
Keyword(s):  
Big Data ◽  
Energy Consumption ◽  
Construction Industry ◽  
Rapid Development ◽  
Science And Technology ◽  
Green Building ◽  
Production Cycle ◽  
Energy Consumption Analysis ◽  
Important Means ◽  
Save Energy

The construction industry is an indispensable and important support in the national economic industry. The characteristics of the construction industry, such as long production cycle, large number of participants and various types, determine that the development of the construction industry is undoubtedly very difficult. In order to realize the rapid development of the construction industry, transformation is the inevitable development direction of the construction industry in the future, which requires the help of science and technology. With the development of science and technology, information technology and big data have been applied to all walks of life, and these are also important means to support the transformation of the construction industry. In order to achieve green development, reducing energy consumption is an inevitable measure. Energy consumption analysis and reduction can be realized by establishing energy consumption monitoring platform based on big data. The application of BIM system is an information-based energy consumption analysis method. This technology can realize the analysis and prediction of energy consumption, so as to determine the appropriate way to save energy, and even estimate the corresponding cost. It is of great significance to establish a suitable energy-saving scheme.

Thermal & Energy Consumption Analysis of New Sustainable Building Material Applied to Commercial Office Building in Beijing

2012 ◽  
Vol 193-194 ◽  
pp. 526-532 ◽  
Author(s):  
Miao Zhang
Keyword(s):  
Energy Consumption ◽  
Building Material ◽  
Mineral Wool ◽  
Office Building ◽  
Sustainable Building ◽  
Energy Consumption Analysis ◽  
New Material ◽  
Save Energy ◽  
Saving Effect ◽  
Google Sketchup

This paper aims to figure out whether or not the new sustainable building material mineral wool could save energy consumption from commercial office building. Professional software such as EnergyPlus, Google SketchUp was used to simulate the thermal and energy-saving effect of this new material. The final results show that after the application of mineral wool, 28.05% (114.23GJ) energy consumption is able to be saved by the large commercial office building located in Beijing, within which 88%(139.27GJ) heating could be reduced

scholarly journals The Effect of Utilizing Distributed Intelligent Lighting System for Energy Consumption in the Office

2020 ◽  
Vol 10 (6) ◽  
pp. 2004 ◽  
Author(s):  
Mohammed Hajjaj ◽  
Mitsunori Miki ◽  
Katsunori Shimohara
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Lighting System ◽  
Lighting Control ◽  
Save Energy ◽  
The Individual

We have been examining how an intelligent lighting system affects energy consumption in the office. In this paper, we evaluate the traditional intelligent lighting system at the office and how to improve the best use of the intelligent lighting system by each user. The user in the large office is not able to change the level of luminance. Moreover, the traditional lighting system is not able to specify which desk is occupied or not occupied by each worker. The proper use of lighting control affects the power consumption, and the worker sometimes forgets to change the occupancy status after leaving the office, which affects the energy. This paper argues to find the best model of the intelligent lighting system to save energy by using the technology of sensing devices for detecting the occupancy of the desk. As a result, we found that each worker has the individual lighting system, and the energy of the office is reduced by improving the intelligent lighting system.

scholarly journals Analysis of Energy Consumption Using Sequential to Better Signal (SBS) Scheme for Green Celluler Network

2020 ◽  
Vol 8 (1) ◽  
pp. 221-239
Author(s):  
Haniah Mahmudah ◽  
Okkie Puspitorini ◽  
Ari Wijayanti ◽  
Nur Adi Siswandari ◽  
Yetik Dwi Kusumaningrum
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Cellular Network ◽  
Energy Savings ◽  
Base Station ◽  
Base Stations ◽  
Sleep Mode ◽  
Total Energy Consumption ◽  
Energy Consuming ◽  
Save Energy

Over time, cellular communication technology developed significantly from year to year. This is due to increasing the number of users and the higher needed. To overcome this problem, many providers increase the number of new base station installations to fill up the customer's needed. The increase number of base stations does not take into account the amount of power consumption produced, where in the cellular network Base Stations (BS) are the most dominant energy consuming equipment estimated at 60% - 80% of the total energy consumption in the cellular industry. In addition, energy waste often occurs in the BS where the emission power will always remain even if the number of users is small. Power consumption and energy savings are important issues at this time because they will affect CO2 emissions in the air. This paper proposes to save energy consumption from BS by turning off BS (sleep mode) if the number of users is small and distributed to other BS (neighboring BS) which is called cell zooming technique. The cell size can zoom out when the load traffic is high and zoom in when the load traffic is low. To determine the central BS and neighboring BS, a sequential to better signal (SBS) scheme is used where this scheme sorts neighboring BS based on the SINR value received (user). The results of this research, base station can be able to save energy 29.12% and reduce CO2 emission around 3580 kg/year.  It means saving energy consumption which is also reducing air pollution occurs and this term can be named as green cellular network. 

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