Toward Sustainable Rail Transport: Well-to-Wheel Analysis of Locomotive Emissions Using Alternative Fuels

Diesel-electric locomotives remain the dominant mode of freight rail traction in many countries, relying heavily on petroleum-based fuels and significantly contributing to greenhouse gas and pollutant emissions. This study introduces the Well-to-Wheel Locomotive Emissions Assessment framework, grounded in ISO 14040/44 standards, offering a structured, scalable, and globally replicable method for assessing railway fuel strategies. Using real-world data from the Vitória-Minas Railway, five fuel scenarios were modeled, including blends of petroleum diesel (B10), biodiesel (B25), and liquefied natural gas (LNG). Although developed for Brazil, the framework accommodates diverse locomotive types, regional fuel chains, and operational conditions, making it suitable for application in other national contexts. The results showed that the most favorable scenario, an 80% LNG and 20% B25 blend, achieved reductions of 24.93% in CO 2 e, 36.09% in NOx, 45.23% in particulate matter, and 63.05% in SO 2 emissions compared with current operations. These findings could offer valuable guidance for transport authorities, infrastructure operators, and energy policy planners worldwide. By integrating upstream and downstream emissions, this research delivers practical, internationally relevant insights into cleaner rail transport solutions and advances the application of life cycle thinking in the freight sector.

Authors

Institutions

Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-12-27
DOI
https://doi.org/10.1177/03611981251398752
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward Sustainable Rail Transport: Well-to-Wheel Analysis of Locomotive Emissions Using Alternative Fuels

Rafaella Ribeiro Caliman, Brian Hoffmann, Rodrigo de Alvarenga Rosa, Hendrigo Venes
Transportation Research Record Journal of the Transportation Research Board
Vehicle emissions and performance
article

Toward Sustainable Rail Transport: Well-to-Wheel Analysis of Locomotive Emissions Using Alternative Fuels

Rafaella Ribeiro Caliman, Brian Hoffmann, Rodrigo de Alvarenga Rosa, Hendrigo Venes
article en

Abstract

Diesel-electric locomotives remain the dominant mode of freight rail traction in many countries, relying heavily on petroleum-based fuels and significantly contributing to greenhouse gas and pollutant emissions. This study introduces the Well-to-Wheel Locomotive Emissions Assessment framework, grounded in ISO 14040/44 standards, offering a structured, scalable, and globally replicable method for assessing railway fuel strategies. Using real-world data from the Vitória-Minas Railway, five fuel scenarios were modeled, including blends of petroleum diesel (B10), biodiesel (B25), and liquefied natural gas (LNG). Although developed for Brazil, the framework accommodates diverse locomotive types, regional fuel chains, and operational conditions, making it suitable for application in other national contexts. The results showed that the most favorable scenario, an 80% LNG and 20% B25 blend, achieved reductions of 24.93% in CO 2 e, 36.09% in NOx, 45.23% in particulate matter, and 63.05% in SO 2 emissions compared with current operations. These findings could offer valuable guidance for transport authorities, infrastructure operators, and energy policy planners worldwide. By integrating upstream and downstream emissions, this research delivers practical, internationally relevant insights into cleaner rail transport solutions and advances the application of life cycle thinking in the freight sector.

Transportation Research Record Journal of the Transportation Research Board
Universidade Federal do Espírito Santo (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
Vehicle emissions and performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.