Can High–Speed Trains Run Faster and Reduce Energy Consumption?

González-Franco, Ignacio; García–Álvarez, Alberto

doi:10.1016/j.sbspro.2012.06.1060

Cited by 12 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, it deserved to discuss whether high-speed trains could reduce energy consumption as [20] studied or low average train speed consume less energy as indicated [22], and all of these freight train would emit less CO2 emission and cost less compared to sailing speed reduction for shipping?…”

Section: The Influence Of Train Speed On Emissions and Costmentioning

confidence: 99%

“…By comparison, [22] emphasized the influence of speed on consumption for diesel locomotive, and [23] mainly pay attention to the influence of payload on energy consumption and related emissions for electrical locomotive. Besides, it deserved to discuss whether high-speed trains could reduce energy consumption as [20] studied or low average train speed consume less energy as indicated [22], and all of these freight train would emit less CO2 emission and cost less compared to sailing speed reduction for shipping?…”

Section: The Influence Of Train Speed On Emissions and Costmentioning

confidence: 99%

See 1 more Smart Citation

A Study Of Cost And Emissions Considering Speed Optimization In Trans Eurasia Transportation Based On Intelligent Transportation

Dongmin

Dingyi

Huang

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

Abstract-People attach much importance to greenhouse gas emissions, and there is an increasing concern on cost and emissions on account of speed reduction for international shipping. Low steaming encountered these challenges of time constraint and technical requirements, while the cost and emissions of railway transportation distinctly differentiate from international shipping and it is a good substitute for international shipping to some extent. Intelligent transportation system (ITS) has proven to be a useful tool in providing efficient, environmentally friendly and safe transportation systems within inland and shipping. The paper focus on the selection and cooperative process between the shipping and railway, and discusses the cost and emissions by speed optimization for international shipping and railway transport aiming to select effective and environmental transportation mode based on ITS infrastructure. Firstly this paper reviews ITS and investigates the relationship of cost and speed along with the relationship of energy consumption and speed respectively for shipping and railway transportation, and then presents the speed optimization both shipping and railway transportation based on ITS so as to minimize cost and emissions. Subsequently it compared and analyzed the cost and emissions for mode selections, and it found that it is more effective and environmental to employ railway transport to some route leg. Finally A numerical case is presented and the results showed that it is necessary to shift model from sea to land on some section.

show abstract

Section: The Influence Of Train Speed On Emissions and Costmentioning

confidence: 99%

Section: The Influence Of Train Speed On Emissions and Costmentioning

confidence: 99%

A Study Of Cost And Emissions Considering Speed Optimization In Trans Eurasia Transportation Based On Intelligent Transportation

Dongmin

Dingyi

Huang

et al. 2016

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…Global warming and the scarcity of energy resources have led transport activities and companies to find ways of reducing their carbon footprint and their energy consumption [1][2]. Improving the energy efficiency has become an important challenge in railway electrical systems [3][4].…”

Section: Introductionmentioning

confidence: 99%

Comparison of dynamic models for a DC railway electrical network including an AC/DC bi-directional power station

Almaksour

Krim

N'guessan

et al. 2021

Mathematics and Computers in Simulation

View full text Add to dashboard Cite

“…The need for reasonably find out primary ones among them, and then correctly calculate the traction energy consumption becomes urging. As far, there are three existing energy calculation models of urban transit system which are: the regression analysis model based on data (MBD) [2][3][4], the calculation model based on electric power (MBE) [5][6][7] and the calculation model based on kinematic methods (MBK) [8][9][10][11]. Most of them aim at traction consume of traditional or high speed train but urban railway.…”

Section: Introductionmentioning

confidence: 99%

A Neural Network Model for Calculating Metro Traction Energy Consumption

Feng¹,

Li²,

Xie³

et al. 2017

dteees

View full text Add to dashboard Cite

Abstract. Due to the difficult of parameters calibration in existing three metro traction energy consumption models, this research first develops a gray related hierarchy analysis model to determine the main factors mainly considering the operational data. Furthermore, a traction energy consumption model based on neural network model is accordingly proposed to calculate the traction energy consumption of metro of one line due to statistics data which are gained by gray related hierarchy analysis model. It is found that the relative error of predicted values and actual values is a maximum of 8.61%, a minimum of 0.01% and the average relative error is 3.12% by using the operation data from one of Beijing subway lines. Results indicate that the model can predict traction energy consumption of a single metro line with high accuracy. IntroductionThere are several factors can impact on power consume of train operation, such as driving tactics of the train, alignments of the track, attributes of the train, operation management of the rail transport system, natural environment and others [1]. The need for reasonably find out primary ones among them, and then correctly calculate the traction energy consumption becomes urging. As far, there are three existing energy calculation models of urban transit system which are: the regression analysis model based on data (MBD) [2-4], the calculation model based on electric power (MBE) [5][6][7] and the calculation model based on kinematic methods (MBK) [8][9][10][11]. Most of them aim at traction consume of traditional or high speed train but urban railway. The characteristics of urban railway traffic system are short distance between neighboring stations; frequently start/stop and relative low speed, and all these should be taken account of for its measure model of traction consumption.According to the characteristics of existing three kinds of metro traction energy consumption models, it is necessary to search a new model for calculating metro traction energy consumption. In this paper, based on factors analysis traction power consumes, mainly factors are ranked according to the gray relation. Moreover, measure model of urban railway system power consume based nerve net are set up, combining data from railway company. For later research, the precision of these models are well evaluated. This paper is organized as follows. Section 2 describes energy consumption factor and the mathematical expression of the traction energy consumption model based on neural network. In section 3, a numerical example is presented for the model. Section 4 summarizes the paper.

show abstract

Can High–Speed Trains Run Faster and Reduce Energy Consumption?

Cited by 12 publications

References 0 publications

A Study Of Cost And Emissions Considering Speed Optimization In Trans Eurasia Transportation Based On Intelligent Transportation

A Study Of Cost And Emissions Considering Speed Optimization In Trans Eurasia Transportation Based On Intelligent Transportation

Comparison of dynamic models for a DC railway electrical network including an AC/DC bi-directional power station

A Neural Network Model for Calculating Metro Traction Energy Consumption

Contact Info

Product

Resources

About