Modeling, Simulation and Design Optimization of a Series Hydraulic Hybrid Vehicle

2014 ◽  
Vol 541-542 ◽  
pp. 727-731 ◽  
Author(s):  
R. Ramakrishnan ◽  
Somashekhar S. Hiremath ◽  
M. Singaperumal
Keyword(s):  
Energy Efficiency ◽  
Design Optimization ◽  
Hybrid System ◽  
Energy Efficient ◽  
Major Influence ◽  
Prime Mover ◽  
Manufacturing Companies ◽  
Efficient System ◽  
Construction Machinery ◽  
Hydraulic Hybrid

Crude oil resources in the world continue to diminish; automobile, agricultural machinery and construction machinery manufacturing companies are placing more emphasis on energy efficient series hydraulic hybrid systems which can replace their conventional transmission systems. Series hydraulic hybrid system is a mechatronics system with two source of power (that includes prime mover and hydro-pneumatic accumulator) which drives the vehicle. Even though, it has been proven as an energy efficient system, sizing of the components or sub-system for automobiles has got a major influence on energy efficiency of vehicle. In this paper, a power bond graph approach is used to model the dynamics of series hydraulic hybrid system and simulation results elucidate various modes of operations. It also shows the dynamic response of hydro-pneumatic accumulator, prime-mover and system output speed. Further, design optimization of system is carried out to optimize the physical /process parameters for the maximum system's output energy that, leads to increase in energy efficiency and environmental friendly vehicle.

scholarly journals Dynamic Analysis and Design Optimization of Series Hydraulic Hybrid System through Power Bond Graph Approach

2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
R. Ramakrishnan ◽  
Somashekhar S. Hiremath ◽  
M. Singaperumal
Keyword(s):  
Energy Efficiency ◽  
Crude Oil ◽  
Design Optimization ◽  
Hybrid System ◽  
Bond Graph ◽  
Prime Mover ◽  
Power Sources ◽  
Analysis And Design ◽  
Hydraulic Hybrid ◽  
Power Bond Graph

The availability of natural gas and crude oil resources has been declining over the years. In automobile sector, the consumption of crude oil is 63% of total crude oil production in the world. Hence, automobile industries are placing more emphasis on energy efficient hydraulic hybrid systems, which can replace their conventional transmission systems. Series hydraulic hybrid system (SHHS) is a multidomain mechatronics system with two distinct power sources that includes prime mover and hydropneumatic accumulator. It replaces the conventional transmission system to drive the vehicle. The sizing of the subsystems in SHHS plays a major role in improving the energy efficiency of the vehicle. In this paper, a power bond graph approach is used to model the dynamics of the SHHS. The obtained simulation results indicate the energy flow during various modes of operations. It also includes the dynamic response of hydropneumatic accumulator, prime mover, and system output speed. Further, design optimization of the system is carried out to optimize the process parameters for maximizing the system energy efficiency. This leads to increase in fuel economy and environmentally friendly vehicle.

Linked Energy Systems for Production Sites of the Future

2013 ◽  
Vol 769 ◽  
pp. 319-326 ◽  
Author(s):  
Martin Beck ◽  
Tilo Sielaff
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Energy Demand ◽  
Energy System ◽  
Efficient System ◽  
Industrial Enterprises ◽  
Future Production ◽  
Cost Efficient ◽  
System Configurations ◽  
Energy Network

Industrial enterprises are increasingly driven to tap the potentials of energy efficiency in existing and future production sites. The challenge is to identify cost-efficient levers for a low energy demand in the linked energy system of production machines and peripheral devices. Considering enabling technologies for energy efficiency and energy recovery in a cascaded energy network with energy storages this paper presents an approach towards energy and cost-efficient system configurations for production sites. An outlook will be given on the research center eta-factory for energy efficient factories at the PTW, TU Darmstadt.

scholarly journals Economical Electricity Home System using Solar

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Aisha Ajeerah Azahar ◽  
◽  
Nor Akmal Mohd Jamail ◽  
Amal Hayati Mat Isa ◽  
Fatin Nazirah Md Sani ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Solar System ◽  
Power Supply ◽  
Energy Efficient ◽  
Solar Panel ◽  
Floor Plan ◽  
Battery Storage ◽  
Matlab Software ◽  
Efficient System

Economical home system can be defined as one realization of home that have a cost-effective ideal by using specific set of technologies combined with the renewable energy as a power supply. This system has a highly advance for lighting, temperature control, socket and own power supply by using solar panel. This system is developed in this project and focused on B40 community that represents the bottom 40% of income earners and also this project becomes suitable for this community for getting an energy efficiency system. Due to the COVID-19, B40 households were reported to have lost their jobs causing financial hardship and had to face the issue of high electricity bills which are very burdensome for them at all in order to pay the cost electricity for monthly. The aim of the article is to design and simulate the solar power system including battery storage in suitable software for a residential house especially in B40 community home and also to analyze the potential of battery storage in order to store the energy from solar panel. Therefore, the economical electricity home system using solar energy for B40 community is proposed in this project for producing an energy efficient system at home. In addition, an electrical floor plan and floor plan of B40 community home is designed in the SketchUp software that using basic electrical equipment such as lighting, ceiling fan and socket. The system is developed by using the MATLAB software in order to produce the result of energy efficiency by using the renewable energy which is solar system and also battery storage. According to the data produced from the calculation of old bills and new bills, the energy consumptions are calculated and also be compared before and after using the renewable energy which is using solar system. The data obtained through calculation of maximum demand in new bill is used in the simulation of solar system in MATLAB software. The results obtained show that after using an energy-efficient load, the monthly new bill is around RM 27.79 which is around RM 10.75 less than the monthly old bill before using an energy-efficient load. It can be concluded that the use of renewable energy in B40 community home can save the energy and also money.

scholarly journals Development of energy efficient system of gas cooling of mobile diesel compressor stations of oil and gas industry

2020 ◽  
pp. 81-89
Author(s):  
S. I. Kryshtopa ◽  
L. I. Kryshtopa ◽  
M. М. Hnyp ◽  
I. M. Mykytiy ◽  
M. M. Tseber
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
Oil And Gas ◽  
Cooling System ◽  
Oil And Gas Industry ◽  
Gas Temperature ◽  
Gas Industry ◽  
Efficient Operation ◽  
Efficient System ◽  
Gas Cooling

The developments of domestic and foreign specialists in the field of improving the energy efficiency of mobile diesel compressor stations of the oil and gas industry is studied. The disadvantages of existing mobile diesel compressor stations in terms of their energy efficiency are identified. Theoretical studies of energy efficiency directions and designs of existing mobile diesel compressor stations have been carried out. It has been studied that for efficient operation of a compressor station it is rational to increase the load of compressors and organize the operation of equipment in energy-efficient modes. Ways to improve the energy efficiency of mobile diesel compressor stations with various options are proposed. It has been established that the optimal way to increase energy efficiency is to reduce the gas temperature to lower temperatures, in comparison with the existing gas cooling systems of compressor stations. It is found that with an increase in the degree of pressure, the savings in gas compression for a compressor with a promising scheme for intermediate gas cooling also increase. An indicator diagram of compressor stations with various cooling schemes has been built. The scheme of the existing system of multi-stage gas cooling of mobile diesel compressor stations is investigated. An improved energy-efficient cooling system for compressed gas by using the heat of compression of gases is proposed. The conclusion about the existence of a reserve to reduce the energy costs of compression due to the use of a coolant-cooler with a temperature significantly lower than the ambient temperature is presented. The description of the working processes of mobile diesel compressor stations according to the existing and perspective schemes is made.

scholarly journals Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

AI Magazine ◽  
2013 ◽  
Vol 34 (2) ◽  
pp. 48 ◽  
Author(s):  
Yifei Jiang ◽  
Du Li ◽  
Qin Lv
Keyword(s):  
Energy Efficiency ◽  
Mobile Devices ◽  
Activity Recognition ◽  
Human Activity ◽  
Energy Efficient ◽  
Real Life ◽  
Human Activity Recognition ◽  
Mobile App ◽  
Efficient System ◽  
Over Time

According to Daniel Kahneman, there are two systems that drive the human decision making process: The intuitive system that performs the fast thinking, and the deliberative system that does more logical and slower thinking. Inspired by this model, we propose a framework for implementing human activity recognition on mobile devices. In this area, the mobile app is usually always-on and the general challenge is how to balance accuracy and energy consumption. However, among existing approaches, those based on cellular IDs consume little power but are less accurate; those based on GPS/WiFi sampling are accurate often at the costs of battery drainage; moreover, previous methods in general do not improve over time. To address these challenges, our framework consists of two modes: In the deliberation mode, the system learns cell ID patterns that are trained by existing GPS/WiFi based methods; in the intuition mode, only the learned cell ID patterns are used for activity recognition, which is both accurate and energy-efficient; system parameters are learned to control the transition from deliberation to intuition, when sufficient confidence is gained, and the transition from intuition to deliberation, when more training is needed. For the scope of this paper, we first elaborate our framework in a subproblem in activity recognition, trip detection, which recognizes significant places and trips between them. For evaluation, we collected real-life traces of six participants over five months. Our experiments demonstrated consistent results across different participants in terms of accuracy and energy efficiency, and, more importantly, its fast improvement on energy efficiency over time due to regularities in human daily activities.

Analysis Criteria for Choosing Energy Efficient High-Quality Light Sources and Luminaires

2018 ◽  
pp. 113-119
Author(s):  
Gennady Ya. Vagin ◽  
Eugene B. Solntsev ◽  
Oleg Yu. Malafeev
Keyword(s):  
Energy Efficiency ◽  
Energy Efficient ◽  
National Standards ◽  
Light Sources ◽  
The European Union ◽  
High Quality ◽  
Eu Directive ◽  
The World ◽  
A New Technique ◽  
Energy Labelling

The article analyses critera applying to the choice of energy efficient high quality light sources and luminaires, which are used in Russian domestic and international practice. It is found that national standards GOST P 54993–2012 and GOST P 54992– 2012 contain outdated criteria for determining indices and classes of energy efficiency of light sources and luminaires. They are taken from the 1998 EU Directive #98/11/EU “Electric lamps”, in which LED light sources and discharge lamps of high intensity were not included. A new Regulation of the European Union #874/2012/EU on energy labelling of electric lamps and luminaires, in which these light sources are taken into consideration, contains a new technique of determining classes of energy efficiency and new, higher classes are added. The article has carried out a comparison of calculations of the energy efficiency classes in accordance with GOST P 54993 and with Regulation #874/2012/EU, and it is found out that a calculation using GOST P 54993 gives underrated energy efficiency classes. This can lead to interdiction of export for certain light sources and luminaires, can discredit Russian domestic manufacturer light sources and does not correspond to the rules of the World Trade Organization (WTO).

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

MANUFACTURING OF ENERGY EFFICIENT SOLAR PANELS

2020 ◽  
Author(s):  
Андрей Дмитриевич Бухтеев ◽  
Виктория Буянтуевна Бальжиева ◽  
Анна Романовна Тарасова ◽  
Фидан Гасанова ◽  
Светлана Викторовна Агасиева
Keyword(s):  
Energy Efficiency ◽  
Solar Cells ◽  
Energy Efficient ◽  
Solar Panels

В данном обзоре приведены проблемы при использовании солнечных элементов и существующие решения этих проблем по повышению энергоэффективности фотоэлементов. Также сравнивается КПД этих солнечных элементов и рассматриваются их особенности. Одним из самых эффективных способов стало применение нанотехнологий. This review presents the problems of using solar cells and existing solutions to these problems to improve the energy efficiency of solar cells. The efficiency of these solar cells is also compared and their features are considered. One of the most effective methods was the use of nanotechnology.

Energy efficient biomorphic pulse information coding in electronic neurons for the entrance unit of the neuroprocessor

2019 ◽  
Vol 5 (3) ◽  
pp. 186-212 ◽  
Author(s):  
Alexander D. Pisarev
Keyword(s):  
Neural Networks ◽  
Energy Efficiency ◽  
Energy Efficient ◽  
Information Transfer ◽  
Biological Systems ◽  
Technological Parameters ◽  
Input Unit ◽  
Efficient Operation ◽  
Electric Circuits ◽  
Electronic Neuron

This article studies the implementation of some well-known principles of information work of biological systems in the input unit of the neuroprocessor, including spike coding of information used in models of neural networks of the latest generation.<br> The development of modern neural network IT gives rise to a number of urgent tasks at the junction of several scientific disciplines. One of them is to create a hardware platform&nbsp;— a neuroprocessor for energy-efficient operation of neural networks. Recently, the development of nanotechnology of the main units of the neuroprocessor relies on combined memristor super-large logical and storage matrices. The matrix topology is built on the principle of maximum integration of programmable links between nodes. This article describes a method for implementing biomorphic neural functionality based on programmable links of a highly integrated 3D logic matrix.<br> This paper focuses on the problem of achieving energy efficiency of the hardware used to model neural networks. The main part analyzes the known facts of the principles of information transfer and processing in biological systems from the point of view of their implementation in the input unit of the neuroprocessor. The author deals with the scheme of an electronic neuron implemented based on elements of a 3D logical matrix. A pulsed method of encoding input information is presented, which most realistically reflects the principle of operation of a sensory biological neural system. The model of an electronic neuron for selecting ranges of technological parameters in a real 3D logic matrix scheme is analyzed. The implementation of disjunctively normal forms is shown, using the logic function in the input unit of a neuroprocessor as an example. The results of modeling fragments of electric circuits with memristors of a 3D logical matrix in programming mode are presented.<br> The author concludes that biomorphic pulse coding of standard digital signals allows achieving a high degree of energy efficiency of the logic elements of the neuroprocessor by reducing the number of valve operations. Energy efficiency makes it possible to overcome the thermal limitation of the scalable technology of three-dimensional layout of elements in memristor crossbars.

scholarly journals Hybrid Seven-bar Press Mechanism

2018 ◽  
Vol 12 (3) ◽  
pp. 181-187
Author(s):  
M. Erkan Kütük ◽  
L. Canan Dülger
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Design Optimization ◽  
Hybrid System ◽  
Degrees Of Freedom ◽  
Dimensional Synthesis ◽  
Design Variables ◽  
Optimization Study ◽  
Metal Stamping

An optimization study with kinetostatic analysis is performed on hybrid seven-bar press mechanism. This study is based on previous studies performed on planar hybrid seven-bar linkage. Dimensional synthesis is performed, and optimum link lengths for the mechanism are found. Optimization study is performed by using genetic algorithm (GA). Genetic Algorithm Toolbox is used with Optimization Toolbox in MATLAB®. The design variables and the constraints are used during design optimization. The objective function is determined and eight precision points are used. A seven-bar linkage system with two degrees of freedom is chosen as an example. Metal stamping operation with a dwell is taken as the case study. Having completed optimization, the kinetostatic analysis is performed. All forces on the links and the crank torques are calculated on the hybrid system with the optimized link lengths

Sign in / Sign up

Export Citation Format

Share Document