Designing Automatic Train Regulation With Energy Saving by Using Dual Heuristic Programming

2011 ◽  
Author(s):  
Jih-Wen Sheu ◽  
Wei-Song Lin
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Cost Effective ◽  
Traffic Regulation ◽  
Time Control ◽  
Train Operation ◽  
Railway System ◽  
Scale Optimization ◽  
Environment Sustainability

Issues regarding environment sustainability and energy saving have been receiving concerns in worldwide railway society though railway system have been recognized as a transport mode of less environmental impact. Energy saving via train operation and regulation would be a cost-effective way and becomes a requirement while performing train operation and regulation. Automatic Train Regulation (ATR) plays an important role of maintaining the service quality of metro. However, designing ATR is a large scale optimization problem with high nonlinearity, heavy constraints, and stochastic characteristics. Considering issues regarding energy saving in the ATR design further complicates the problem. A metro traffic model which accounts for energy consumption is investigated in this paper. Thereby, Dual Heuristic dynamic Programming (DHP) technique is employed to design an optimal ATR with energy saving for metro line. Simulation tests of the ATR design were carried out with field data. Results show that better traffic regulation with less energy consumption is attainable through coasting and dwell time control.

Research on Energy-Saving Algorithms with Migration Energy Consumption in Heterogeneous Cloud Environment

2014 ◽  
Vol 986-987 ◽  
pp. 1383-1386
Author(s):  
Zhen Xing Yang ◽  
He Guo ◽  
Yu Long Yu ◽  
Yu Xin Wang
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Electrical Energy ◽  
Cloud Environment ◽  
Migration Energy ◽  
Live Migration ◽  
Large Scale Data ◽  
Heterogeneous Cloud

Cloud computing is a new emerging paradigm which delivers an infrastructure, platform and software as services in a pay-as-you-go model. However, with the development of cloud computing, the large-scale data centers consume huge amounts of electrical energy resulting in high operational costs and environment problem. Nevertheless, existing energy-saving algorithms based on live migration don’t consider the migration energy consumption, and most of which are designed for homogeneous cloud environment. In this paper, we take the first step to model energy consumption in heterogeneous cloud environment with migration energy consumption. Based on this energy model, we design energy-saving Best fit decreasing (ESBFD) algorithm and energy-saving first fit decreasing (ESFFD) algorithm. We further provide results of several experiments using traces from PlanetLab in CloudSim. The experiments show that the proposed algorithms can effectively reduce the energy consumption of data center in the heterogeneous cloud environment compared to existing algorithms like NEA, DVFS, ST (Single Threshold) and DT (Double Threshold).

Advantages and Basic Areas of Application of Solar Concentrating Modules With Louvered Heliostats

2021 ◽  
pp. 152-181
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
Energy Saving ◽  
Large Scale ◽  
Tall Buildings ◽  
Effective Energy ◽  
Building Projects ◽  
High Rise ◽  
Low Concentrations ◽  
Reducing Energy

In connection with the large-scale development of high-rise building projects recently in Russia and abroad and their significant energy consumption, one of the main principles in designing is the use of effective energy-saving technologies. Also, important aspects are reducing energy consumption and neutralizing the environmental impact of tall buildings. The most promising areas in the field of integration of solar modules (planar and concentrating) in the construction of buildings are development of BIPV technologies (roofing, film, facade materials), the integration of solar energy concentrators that do not require biaxial tracking (medium and low concentrations) on the facades and roofs of buildings (parabolic concentrators, lenses, and Fresnel mirrors), integration of highly concentrated modules on the roofs of buildings.

The Key Technology Research of the Water Injection System Energy Saving for Super Low Permeability Reservoir in Changqing Oil Field

2012 ◽  
Vol 524-527 ◽  
pp. 1217-1222 ◽  
Author(s):  
Zhi Qiang Huang ◽  
Zhen Chen ◽  
Gang Zheng ◽  
Jian Qiang Xue ◽  
Xue Yuan Li
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Water Injection ◽  
High Energy ◽  
Economic Benefits ◽  
Oil Field ◽  
Injection System ◽  
Low Permeability ◽  
Load Rate

With the characteristics of low permeability, pressure and abundance, it's extremely hard to exploit the super low permeability reservoirs in ChangQing oil field. For this reason, the water injection recovery technique has been widely used. Analysis showed that a serious problem of high energy consumption exist in the water injection system, the power consumption of which accounts for about 44%. And the energy cost of pump units reach up to 43%, it's the highest energy consumption link in the system. In this paper the load rate classification method (LRCM) is firstly adopted to statistical analyze water injection stations, which are divided into the owing and over load rate stations. As a result, the owing load rate stations accounts for 83.8%, with a serious phenomenon of the Big Horse Pull A Small Carriage, causing the large-scale backflow in the station, and the efficiency is low, the energy consumption is on the high side. Aimed at water injection stations with different load rate, the methods of reasonable shutting down the pumps, pump replacement, optimizing the transmission ratio and piston size, as well as the speed control technology have been used to make the outlet flow and actual demand reasonable matching. The test result shows that the energy saving technology is well targeted, simple, practical and low cost. The pump units’ efficiency improves obviously, the consumption reduces by 10%, which greatly improve the oilfield economic benefits.

Application of lifecycle assessment to Shinkansen vehicles and cross ties in Japan

2003 ◽  
Vol 217 (4) ◽  
pp. 271-278 ◽  
Author(s):  
H Ueda ◽  
T Miyauchi ◽  
T Tsujimura
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
Energy Saving ◽  
Global Scale ◽  
Environmental Load ◽  
Lifecycle Assessment ◽  
Useful Knowledge ◽  
Railway System ◽  
Effective Instrument

Recently, environmental protection has become one of the most critical concerns on a global scale. Currently, it is widely recognized that lifecycle assessment (LCA) is a very effective instrument used to evaluate the environmental impact of various products quantitatively across their whole lifecycle. A basic LCA survey of Shinkansen vehicles and cross ties was conducted as a case study for the railway system. Through this study, the following results were confirmed. For any type of vehicle, more than 95 per cent of lifecycle energy consumption (LCE) and lifecycle CO2 emission LCCO2 is attributable to vehicle running. Lightweight vehicles, reduction of running resistance and the use of regenerative brakes contribute to energy saving in vehicle running. Regarding the CO2 emission from four types of ties (wood, concrete, synthetic and steel), wood ties emit the least amount of CO2 and synthetic ties the most. When the effect throughout the lifetime is considered, however, wood ties are by no means insignificant in terms of the environmental load. As a result of this survey, useful knowledge for applying LCA to railways was obtained.

Energy-Saving Technologies of WSN

2012 ◽  
Vol 605-607 ◽  
pp. 566-569
Author(s):  
Rong Mao Zheng
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Power Supply ◽  
Sensor Node ◽  
Large Scale ◽  
Working Life ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Node Energy

In order to layout convenient the wireless sensor node generally used battery for power supply, the node require working up to several months or even years but battery replacement was difficult or impossible. In this paper, research does not affect the function of WSN how to save the node energy consumption, which can work more time in large-scale collection, processing and communication of complex environmental data. Results show that the energy-saving technologies can be to reduce the energy consumption of 55.6%, which can greatly extend the working life of the wireless sensor node battery.

Research and Simulation on the Energy-Saving Control Model of Large-Scale Intelligent Electromechanical Device

2014 ◽  
Vol 986-987 ◽  
pp. 1236-1239
Author(s):  
Yun Long Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Control Model ◽  
Consumption Energy ◽  
Electromechanical Device ◽  
Reduce Energy Consumption ◽  
Energy Saving Control

In energy-saving control process of large-scale-scale intelligent electromechanical device, it is need to consume non-essential energy. To reduce energy consumption, energy-saving design method is proposed based on adaptive linear genetic algorithms. According to theory of adaptive particle swarm optimization, optimal particle is searched in the global domain, which provides basis for energy-saving control of large-scale-scale intelligent electromechanical device. According to adaptive linear genetic theory, energy-saving control model of large-scale intelligent electromechanical device is built to complete energy-saving control. Experimental results show that algorithm can effectively reduce energy consumption and obtain satisfactory results.

Simulation on the Energy Saving Control Model of Large-Scale Power Control

2014 ◽  
Vol 602-605 ◽  
pp. 1190-1193
Author(s):  
Rui Xiang Fan ◽  
Wei Xia ◽  
Bin Liu
Keyword(s):  
Genetic Algorithms ◽  
Control System ◽  
Energy Consumption ◽  
Power Control ◽  
Energy Saving ◽  
Large Scale ◽  
Design Method ◽  
Control Process ◽  
Control Model ◽  
Energy Saving Control

During the large transformers operation, the proportion of the non-essential energy consumption is higher. In order to reduce the energy consumption in power control process, a new design method of energy-saving control in large-scale power control process based on adaptive linear genetic algorithms. Loss model of power control is established firstly. Based on the relevant data of the model, energy-saving control in large-scale power control process can be achieved. Experimental results show that the improved algorithm can effectively reduce the energy consumption in large-scale power control system, and meet the actual demand of power control.

scholarly journals An Eco-Driving Algorithm for Interoperable Automatic Train Operation

2020 ◽  
Vol 10 (21) ◽  
pp. 7705
Author(s):  
Adrián Fernández-Rodríguez ◽  
Asunción P. Cucala ◽  
Antonio Fernández-Cardador
Keyword(s):  
Energy Consumption ◽  
Differential Evolution ◽  
Minimum Energy ◽  
Differential Evolution Algorithm ◽  
Multiple Time ◽  
Intermediate Target ◽  
Target Time ◽  
Traffic Regulation ◽  
Train Operation ◽  
Automatic Train Operation

The new Automatic Train Operation (ATO) system over the standard European Rail Traffic Management System (ERTMS) will specify the requirements that an automatic train driving system must fulfil in order to be interoperable. The driving is defined by target times located along the journey that are received from the trackside system. Then, the on-board equipment drives the train with the objective of meeting all of the target times. The use of eco-driving methods to calculate the train driving is necessary, as one of the main goals of modern train driving systems is to increase the energy efficiency. This paper presents a simulation-based optimisation algorithm to solve the eco-driving problem constrained by multiple target times. This problem aims to minimize the energy consumption subject to a commercial running time, as the classical eco-driving problem, and also to meet intermediate target times during the journey between stations to enable automatic traffic regulation, especially at junctions. The algorithm proposed combines a Differential Evolution procedure to generate possible solutions with a detailed train simulation model to evaluate them. The use of this algorithm makes possible to find accurate speed profiles that meet the requirements of multiple time objectives. The proposed Differential Evolution algorithm is capable of finding the feasible speed profile with the minimum energy consumption, obtaining a 7.7% of energy variation in the case of a journey with one intermediate target time and 3.1% in the case of two intermediate targets.

Energy Saving Design Method for Large Weak Electronic Circuit

2014 ◽  
Vol 513-517 ◽  
pp. 4127-4130
Author(s):  
Bo Yu ◽  
Li Song ◽  
Zhong Ming Wu
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Circuit Design ◽  
Large Scale ◽  
Electronic Circuit ◽  
Design Method ◽  
High Energy ◽  
Proposed Model ◽  
Consumption Situation ◽  
High Energy Consumption

This paper mainly discusses the energy-saving design method for large weak electronic circuit. In large scale electronic circuit, there is no direct relevance between every two element modules. The traditional weak element circuit design concentrates in a single module, while ignoring module dependencies in energy-saving design, resulting in high energy consumption in large-scale electronic circuits. This paper proposes to establish the relevance energy-loss model for each model in the large-scale weak electronic circuit to obtain the energy consumption situation, and consider the energy consumption in module coordination to saving energy. The simulation results show that the proposed model used for large-scale energy weak circuit design can effectively reduce the energy consumption in weak circuit application.

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