NDLI: Optimize Energy of Train Simulation with Track Slope Data

Content Provider	IEEE Xplore Digital Library
Author	Sy-Ruen Huang Hung-Kang Sung Chuan-Hsun Ma
Copyright Year	2015
Description	Author affiliation: Program of Electr. & Commun. Eng., Feng Chia Univ., Taichung, Taiwan (Hung-Kang Sung) \|\| Master's Program of Green Energy Sci. & Technol., Feng Chia Univ., Taichung, Taiwan (Chuan-Hsun Ma) \|\| Dept. of Electr. Eng., Feng Chia Univ., Taichung, Taiwan (Sy-Ruen Huang)
Abstract	This study aims to establish equations for energy consumptions of Taiwan Railways Administration (TRA) trains in operation considering the variations of slope to determine the traction energy cost (TEC). Where railway transportation has been one of the important means of transport for mankind, since TRA became electrified the parameters for train operations have been able to be accurately recorded. The equations for overall energy consumption and resistance parameters are completed for the overall energy consumption of TRA trains and resistance to them to simulate the operation of the whole train model. The inputs of different conditions of trains and track sections are then analyzed for energy use, as the energy use by train travel is obvious. That by the behavior of energy use, can be divided in three conditions for analysis which is acceleration, coasting and deceleration. In the analysis of the energy in the journey, the variation of its consumption is subject to multiple factors because of the difference in operation model and the variation in the track slope data. In view of decreasing unnecessary energy consumption, the equations for train energy consumption and the track parameters are substituted in the teaching-learning-based optimization (TLBO) technique, which can compute the optimal results fast. The optimal results being incorporated in the trains can help reduce unnecessary energy consumption and errors by human operations and arrive at the destination on schedule. By the equations for energy consumption, train parameters, and TLBO, our study proved to be able to reduce energy use as well as ensure of Top Transport Time Expenditure (TTE) of the trains.
Starting Page	590
Ending Page	597
File Size	569310
Page Count	8
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resistance Acceleration Mathematical model Traction motors Energy consumption Force Vehicles train energy saving train simulation teaching-learning-based optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Train Operation Traction Energy Calculation and Saving in Urban Rail Transit System

SIMULINK model for study of energy efficient train control

Sensor-less hill-assist using traction control in electric LCV

The application of traction motors

An algorithm to optimize speed profiles of the metro vehicles for minimizing energy consumption

Influnce of driving style of a tram driver on the tram's energy consumption

A vehicle with very low fuel consumption: Realization, analysis and optimization

Simulation model of tram with energy storage system

Electric vehicle simulator for energy consumption studies in electric mobility systems

Optimize Energy of Train Simulation with Track Slope Data

Similar Documents

Train Operation Traction Energy Calculation and Saving in Urban Rail Transit System

SIMULINK model for study of energy efficient train control

Sensor-less hill-assist using traction control in electric LCV

The application of traction motors

An algorithm to optimize speed profiles of the metro vehicles for minimizing energy consumption

Influnce of driving style of a tram driver on the tram's energy consumption

A vehicle with very low fuel consumption: Realization, analysis and optimization

Simulation model of tram with energy storage system

Electric vehicle simulator for energy consumption studies in electric mobility systems

Optimize Energy of Train Simulation with Track Slope Data