U.S. Freight Rail Fuel Efficiency: 1920-2015 Review and Discussion of Future Trends

Author(s):  
Michael E. Iden

U.S. freight railroads produce about 40 percent of freight gross ton-miles while consuming only about 1/20th of the total U.S. diesel fuel1. Compared to heavy-duty trucks, freight railroads have significant energy (and emissions) advantages including the low coefficient of friction of steel wheel-on-rail (compared to rubber tires-on-pavement) and multiple-vehicle trains. However, improved heavy-duty truck technologies are being federally-funded and developed which may create some challenges to freight rail’s long-standing environmental (and economic) advantage in certain transportation markets and corridors. This paper reviews U.S. freight rail fuel efficiency (measured in gallons of fuel per thousand gross ton-miles) from 1920 to 2015, using published records from the former Interstate Commerce Commission (ICC) archived and made available by the Association of American Railroads (AAR). All freight locomotive energy consumption (all types of coal, crude oil, electricity kilowatt-hours and diesel fuel) are converted into approximations of diesel gallons equivalent based on the nominal energy content of each locomotive energy type, in order to show the effect of transitioning from steam propulsion to diesel-electric prior to 1960 and the application of other new technologies after World War II. Gross ton-miles (rail transportation work performed) will similarly be tracked from historic ICC and AAR records. Annual U.S. freight rail fuel efficiency is calculated and plotted by dividing total calculated diesel gallons equivalent (DGe) consumed by gross (and by lading-only net) ton-miles produced. New technologies introduced since 1950 which have likely contributed to improvements in freight rail fuel efficiency (such as introduction of unit coal trains, distributed power, alternating current locomotives, etc) will also be discussed and assessed as to relative contribution to fuel efficiency improvements. The paper includes a discussion about U.S. freight rail fuel efficiency compared to heavy-duty truck fuel efficiency, with comments on projected improvements in heavy-duty truck technologies and fuel efficiency. A conclusion is that U.S. freight railroads and equipment suppliers need to be more aware of projected heavy-duty truck fuel efficiency improvements and their potential for erosion of some aspects of traditional railroad competitiveness. Numerous suggested action plans are discussed, with particular focus on reducing the aerodynamic drag (a delta velocity-squared factor in train resistance and power requirement) of double-stack container trains. Last, this paper discusses possible courses of action for U.S. freight railroads to achieve fuel efficiency improvements greater than the historic ∼1 percent improvement achieved over the past 50 years. If freight rail is to remain economically competitive vis a vis heavy duty trucking, railroads will have to identify, evaluate and implement new technologies and/or new operating practices which can help them achieve fuel efficiency improvements matching (or exceeding) those projected for heavy trucks over the next 7-to-12 years. A specific example for improving fuel efficiency of double-stack container trains is discussed. Failure to address the future of freight rail fuel efficiency is likely not an option for U.S. railroads.

Author(s):  
M. Sitlani ◽  
K. Aung

The aerodynamic drag characteristics of a heavy duty truck with two configurations, a tractor and a single trailer, and a tractor and a tandem-trailer (two trailers), have been studied. The aerodynamic drag of a truck depends on geometry, frontal area, and the speed of the truck. The basic geometry used in the simulation is 1:8 scale Ground Transportation System (GTS). The present simulation model has a simplified geometry of GTS with a cab-over engine design with either one or two trailers. In particular, the effects of the gap between the tractor and the trailer, and the gap between the tandem trailers on the aerodynamic drag were determined. The effects of vehicle geometry, vehicle speed, and the gap size were investigated and the drag coefficients were computed. CFD software STAR-CD with an expert tool, es-aero, was used for all the analyses reported in this paper. The simulation results were validated with available experimental data and good agreements were found for vehicle speeds at highway and city limits. The results showed that closing the gaps and incorporating boat-tails at the rear of the trailer could reduce the drag by as much as 40 percent.


Author(s):  
V. V. Vantsevich ◽  
A. D. Zakrevskij ◽  
S. V. Kharytonchyk

Inverse dynamics approach has been developed to optimize a highway, heavy-duty truck vehicle dynamics and performance. Using the developed approach, a math model of the multi-body truck system was developed to optimize power distributions to the drive wheels in probabilistic road conditions including macro- and micro-profiles of the road, distributions of the friction coefficient and rolling resistance. The optimization of wheel power distributions was treated as a multi-criterion problem to provide the truck with required energy/fuel efficiency, traction and velocity operational properties, turnability, stability of motion, and handling. Criteria of the listed truck operational properties were organized in a computer algorithm and computer simulations were implemented. Based on optimal combinations of wheel power distributions, an algorithm for integrated control of driveline power dividing units, wheel brakes and fuel feeding was developed.


1990 ◽  
Vol 18 (4) ◽  
pp. 236-261 ◽  
Author(s):  
H. Ogawa ◽  
S. Furuya ◽  
H. Koseki ◽  
H. Iida ◽  
K. Sato ◽  
...  

Abstract The Tension Control Optimization Theory, TCOT, allows for heavy duty truck and bus tires with greater bead and belt durability and increased fuel efficiency than conventionally shaped truck and bus tires, without sacrificing other important performance characteristics such as maneuverability, wear resistance, etc. Before TCOT, conventional truck and bus tires used the theory of the natural equilibrium shape as a base. TCOT technology expands the Rolling Contour Optimization Theory, RCOT, and proposes the ultimate tire casing contour according to tire application. TCOT optimizes the control of the tension in an inflated tire and the control of the change of the contour by inflation pressure, and regulates strains in the belts and plycord edges, limiting the occurrence and spread of minute but potentially damaging cracks in the vulnerable edges of a rolling tire.


2013 ◽  
Vol 365-366 ◽  
pp. 474-477
Author(s):  
Yu Kun Liu ◽  
Qi Fei Li ◽  
Guan Qun Li ◽  
Ao Liu ◽  
Xing Jun Hu

In order to reduce the aerodynamic drag of heavy-duty truck, four different shape and style of deflectors based on the original one are added. With the method of numerical simulation, the influence of deflector on the flow field of the cab and the vehicle was analyzed, and the mechanism of aerodynamic drag and the measures of drag reduction were discussed in the study. When driving at speed of 30m/s, the aerodynamic drag will be significantly reduced with the contributions of all the four deflectors. The optimal solution can reach a reduction about 14%.


2014 ◽  
Vol 602-605 ◽  
pp. 787-790
Author(s):  
Han Bo Yang ◽  
Xing Jun Hu ◽  
Teng Fei Li

Aerodynamic drag is one of the most important sources of the driving resistance suffered by an on-road heavy-duty truck. The previous studies have rarely involved the role of the external sun visor. Therefore, numerical method is used for the research of the influence of six kinds of sun visors differenced by shapes or layouts on the aerodynamic drag reduction. It is demonstrated that the sun visor has a great influence on the local flow field where it is fixed, while a relatively small effect on the global flow field. Moreover, compared to the original one, the CDvalues of each case have different degrees of reduction which illustrates that an appropriate shape and layout of a sun visor benefits the air drag reduction, the largest decline is 4.7%.


2021 ◽  
Vol 41 ◽  
pp. 102985
Author(s):  
Beichen Ding ◽  
Benfei Wang ◽  
Ronghui Zhang

2016 ◽  
Vol 17 (4) ◽  
pp. 1051-1061 ◽  
Author(s):  
Kuo-Yun Liang ◽  
Jonas Martensson ◽  
Karl H. Johansson

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