scholarly journals Choosing the Best Locomotion Mode in Reconfigurable Rovers

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 818
Author(s):  
Carlos Jesús Pérez del Pulgar Pérez del Pulgar Mancebo ◽  
Pablo Romeo Manrique ◽  
Gonzalo Jesús Paz Delgado ◽  
José Ricardo Sánchez Ibáñez ◽  
Martin Azkarate
Keyword(s):  
Energy Consumption ◽  
Planetary Exploration ◽  
Simulation Environment ◽  
Slip Ratio ◽  
Novel Method ◽  
Locomotion Mode ◽  
Save Energy ◽  
Walking Locomotion

The use of autonomous rovers for planetary exploration is crucial to traverse long distances and perform new discoveries on other planets. One of the most important issues is related to the interaction between the rover wheel and terrain, which would help to save energy and even avoid getting entrapped. The use of reconfigurable rovers with different locomotion modes has demonstrated improvement of traction and energy consumption. Therefore, the objective of this paper is to determine the best locomotion mode during the rover traverse, based on simple parameters, which would be obtained from propioceptive sensors. For this purpose, interaction of different terrains have been modelled and analysed with the ExoTeR, a scale prototype rover of the European ExoMars 2020 mission. This rover is able to perform, among others, the wheel walking locomotion mode, which has been demonstrated to improve traction in different situations. Currently, it is difficult to decide the instant time the rover has to switch from this locomotion mode to another. This paper also proposes a novel method to estimate the slip ratio, useful for deciding the best locomotion mode. Finally, results are obtained from an immersive simulation environment. It shows how each locomotion mode is suitable for different terrains and slopes and the proposed method is able to estimate the slip ratio.

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 A Novel Method for Detecting Abnormal Energy Data in Building Energy Monitoring System

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Liang Zhao
Keyword(s):  
Energy Consumption ◽  
Power Consumption ◽  
Real Time ◽  
Difference Method ◽  
Building Energy ◽  
Energy Monitoring ◽  
Order Difference ◽  
Energy Data ◽  
First Order ◽  
Novel Method

This paper presents a novel abnormal data detecting algorithm based on the first order difference method, which could be used to find out outlier in building energy consumption platform real time. The principle and criterion of methodology are discussed in detail. The results show that outlier in cumulative power consumption could be detected by our method.

Energy Consumption Analysis of Animation-Park in Sino-Singapore Tianjin Eco-City

2013 ◽  
Vol 316-317 ◽  
pp. 176-180 ◽  
Author(s):  
Xue Jing Zheng ◽  
Meng Jun Yang ◽  
Wan Dong Zheng ◽  
Yun Kun Bu
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Water System ◽  
Energy System ◽  
Living Environment ◽  
Hot Water ◽  
Solar Pv ◽  
Pump System ◽  
Heat Pump System ◽  
Save Energy

Sino-Singapore Tianjin Eco-city is a strategic cooperation project between China and Singapore to improve the living environment and build an eco-culture. Animation-park covers an area of 1 km2, with a total construction area of 7.7x105m2. Wide sources of the renewable energy, such as solar hot water system, ground source heat pump system, solar PV power generation system, and deep geothermal energy system, is strongly recommended to use in eco-city in order to save energy and protect the environment. The usage of renewable energy is seen as a complement to the conventional energy. The energy consumption of the animation park is 42926tce of coal per year, and the renewable energy that used is 4573.6tce of coal per year. The usage of renewable energy leads to the reduction in the emission of CO2 of 18895.9t per year.

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 Heat recovery by means of a ventilation unit

2021 ◽  
Vol 263 ◽  
pp. 04025
Author(s):  
Dmitrii Khlopitsyn ◽  
Andrey Rymarov
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Heat Recovery ◽  
New Technologies ◽  
Ventilation System ◽  
New Developments ◽  
Before And After ◽  
Save Energy ◽  
Recuperative Heat Exchanger ◽  
Air Removal

Energy consumption all over the world is constantly growing. To save energy, new technologies are being developed for the efficient use of energy resources. The goal of all new developments is to use less energy to provide the same level of energy supply for technological processes or buildings. The problem of energy saving is relevant for the ventilation system. Together with the removed air, a large amount of heat is lost, which is not advisable. In order to avoid these losses, heat recuperators began to be used, heating the cold supply air due to the warm air removed from the room. This development belongs to the field of energy saving. The goal is to increase efficiency by reheating the air after the heater with the help of a recuperator for a given temperature difference in the supply air before and after the recuperative heat exchanger. The development is a design of a ventilation unit with air removal and supply air ducts, combined into one housing with a separate, according to the “screw” principle, heat transfer wall, for use in the ventilation system in order to ensure an optimal microclimate in the room. Thus, as a result of using the presented device, the efficiency of the room ventilation unit is increased by reducing the energy consumption for heating the supply air with a heater.

scholarly journals Yearly Cost Saving by Using Enthalpy Heat Exchanger During Cooling and Heating

2020 ◽  
Vol 328 ◽  
pp. 01014
Author(s):  
Kamil Križo ◽  
Andrej Kapjor ◽  
Martin Vantúch
Keyword(s):  
Energy Consumption ◽  
Heat Exchanger ◽  
Heat Exchangers ◽  
Building Energy ◽  
Sensible Heat ◽  
Oxygen Level ◽  
Optimal Temperature ◽  
Air Handling Unit ◽  
Save Energy ◽  
Yearly Cost

Fresh air has to be constantly supplied to the building by air handling unit, where supplied air is mixed with inside air and optimal temperature, oxygen level is adjusted and level of dust and smoke is reduced. Supply air demand of the building is determined according to number of persons in the room, room area and regulations. Necessity of ventilation rely in supplying room with oxygen, cleaning the air, adjusting temperature and moisture and reduction of odours, gases, dust, bacteria and viruses. Achieving optimal properties of supply air creates huge portion of building energy consumption. To save energy during ventilation, standard air to air sensible heat exchangers are used. They purpose is to recover sensible heat from exhaust air and at the same time avoid contamination of supply air. Drawback of these types of exchangers is limit of recovering moisture, therefore huge portion of energy in form of latent heat is lost. On top of classical plate air to air heat exchanger, enthalpy heat exchanger allows to exchange latent as well as sensible heat [1].

Analysis of China’s Provincial Energy Efficiency Based on the Generalized DEA Method

2014 ◽  
Vol 953-954 ◽  
pp. 890-895
Author(s):  
Hui Min Li ◽  
Cun Bin Li ◽  
Zhan Xin Ma
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Total Energy Consumption ◽  
Rapid Economic Growth ◽  
Technology Changes ◽  
Dea Method ◽  
Save Energy ◽  
The Impact

In recent years, with the rapid economic growth, the demand on the amount of energy in China is increasing. So the problem of how to improve the energy utilization efficiency and save energy consumption has to be tackled. The traditional CCR model and BCC model used in the study of provincial energy efficiency do not take the impact of technological progress into consideration. Therefore, the paper uses the generalized DEA method to research the energy utilization efficiency of China’s 29 provinces, that is, to evaluate and analyze the energy utilization efficiency by selecting the capital stock, employment and total energy consumption of China’s provinces as input factors and GDP, per capital GDP as output factors, and then draw tables showing each province’s change of average annual overall efficiency and the pure technology changes, and finally analyze the regularities underlying these changes.

Display Energy Management based on Eye Tracking

2012 ◽  
pp. 350-365
Author(s):  
Vasily G. Moshnyaga
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Personal Computer ◽  
Experimental Evaluation ◽  
The Other ◽  
Single Camera ◽  
Management Technology ◽  
Personal Computer System ◽  
Software And Hardware ◽  
Save Energy

With the explosive use of personal computers or PCs, reducing computer energy consumption is paramount for sustainability. The display is the largest energy consumer in a personal computer. Current display energy management technologies ignore the attention of the PC user and therefore may either switch the display off when the user looks at the screen or lose energy by keeping the display on when nobody looks at it. This chapter discusses a new display energy management technology and outlines its implementation in a personal computer system. Unlike existing technologies, which “sense” a PC user through keyboard and/or mouse or the other sensors, this technology “watches” the user through a single camera or CMOS vision sensor. The technology tracks the user’s eyes, keeping display active only if the user looks at its screen. Otherwise, it dims the display down or even switches it off to save energy. The authors implemented the technology in software and hardware and present the results of their experimental evaluation.

scholarly journals Energy-Efficient Train Driving Strategy with Considering the Steep Downhill Segment

Processes ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 77 ◽  
Author(s):  
Wentao Liu ◽  
Tao Tang ◽  
Shuai Su ◽  
Jiateng Yin ◽  
Yuan Cao ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Solution Space ◽  
Descent Method ◽  
Urban Rail Transit ◽  
Gradient Descent Method ◽  
Transit Systems ◽  
Classical Energy ◽  
Urban Rail ◽  
Save Energy

Implementation of energy-efficient train driving strategy is an effective method to save train traction energy consumption, which has attracted much attention from both researchers and practitioners in recent years. Reducing the unnecessary braking during the journey and increasing the coasting distance are efficient to save energy in urban rail transit systems. In the steep downhill segment, the train speed will continue to increase without applying traction due to the ramp force. A high initial speed before stepping into the steep downhill segment will bring partial braking to prevent trains from overspeeding. Optimization of the driving strategy of urban rail trains can avoid the partial braking such that the potential energy is efficiently used and the traction energy is reduced. This paper presents an energy-efficient driving strategy optimization model for the segment with the steep downhill slopes. A numerical method is proposed to calculate the corresponding energy-efficient driving strategy of trains. Specifically, the steep downhill segment in the line is identified firstly for a given line and the solution space with different scenarios is analyzed. With the given cruising speed, a primary driving strategy is obtained, based on which the local driving strategy in the steep slope segment is optimized by replacing the cruising regime with coasting regime. Then, the adaptive gradient descent method is adopted to solve the optimal cruising speed corresponding to the minimum traction energy consumption of the train. Some case studies were conducted and the effectiveness of the algorithm was verified by comparing the energy-saving performance with the classical energy-efficient driving strategy of “Maximum traction–Cruising–Coasting–Maximum braking”.

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