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A Mixed Integer Programming Model to Minimize Fuel Consumption in Freight Train Operation

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A Mixed Integer Programming Model to Minimize Fuel Consumption in Freight Train Operation

Zhang, Zenan (2019) A Mixed Integer Programming Model to Minimize Fuel Consumption in Freight Train Operation. Masters thesis, Concordia University.

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Abstract

Fuel consumption is among the most important criteria in train operations. Considerable efforts have been made to identify optimal speed for enhanced fuel economy. The train speed control is achieved through switching the power notches, which sets constant level of fuel supply to the engine in a typical diesel-electric locomotive. A global optimal speed, however, cannot be considered appropriate due to the localized variations in the track gradient and curvature, apart from the variations in the load. An efficient train operation also requires the train completes its journey within a given travel time. This study aims at determining optimal train speeds to minimize the total fuel consumption in completing the journey, while considering the local variations in the track geometry and other properties. A nonlinear mixed integer programming model is formulated to solve the considered problem using an off-the-shelf optimization software package. A multiphase-steps improved method is proposed for solving the considered problem more effectively. Numerical examples are presented to illustrate the developed model and solution method.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical, Industrial and Aerospace Engineering
Item Type:Thesis (Masters)
Authors:Zhang, Zenan
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Industrial Engineering
Date:19 August 2019
Thesis Supervisor(s):Mingyuan, Chen
ID Code:985705
Deposited By: Zenan Zhang
Deposited On:06 Feb 2020 02:38
Last Modified:06 Feb 2020 02:38
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