@misc{9f162de86e27453799949c045eea7b4f,
title = "Quantifying Annual Industrial Locomotive Energy Consumption in the United States",
abstract = "While US Class 1 railroad locomotive rosters and annual fuel consumption are well-documented, considerably less is known regarding the overall energy consumption of operations involving industrial locomotives. To determine the energy savings potential of this rail operating sector, the objective of this research is to develop an inventory of US industrial locomotives and a baseline estimate of their annual energy consumption. Creating an industrial locomotives roster from public data is challenging given their diverse ownership by shippers or leasing companies, and operating locales largely out of public view. By cross-referencing public data on locomotive reporting marks, serial numbers, online images and aerial images, the project team confirmed the age, model and horsepower of over one thousand industrial locomotives. Estimating energy consumption is complicated by the variability in industrial locomotive types and power ratings, and extreme differences in duty cycles and utilization. Given these limitations, using quantified case study examples and adjustments to standard EPA line-haul and switching duty cycles, bounds on the magnitude of annual US industrial locomotive energy consumption were estimated.",
keywords = "fleet inventory, fuel consumption, industrial, locomotives, rail, rail operations",
author = "Alicia Birky and Matt Bruchon and Katerina Polemis and Jason Lustbader and Dick, \{C. Tyler\} and Steven Shi",
year = "2026",
doi = "10.66816/pr2983128",
language = "American English",
series = "Presented at the 2026 IEEE INNOVARail Conference, 26-28 May 2026, Champaign, Illinois",
type = "Other",
}