Simulation-based evaluation of energy and operational efficiency for mine haul truck fuel alternatives

The growing impact of climate change has prompted global efforts toward decarbonization, including ambitious targets set by the 2016 Paris Agreement. In the mining sector, the main contributors to greenhouse gas (GHG) emissions are loading and haulage, typically carried out using large diesel trucks. This study evaluates alternatives to diesel fuel for mining trucks, focusing on electricity, renewable diesel, and liquefied natural gas (LNG). Using discrete-event simulation (DES), we assessed these fuels based on operational data from an open-pit copper mine over a 24-hour period. Results reaffirm diesel as the current industry standard but highlight electric trucks as the most effective at reducing CO 2 emissions by up to 95%, while also lowering operating costs. However, their success depends heavily on charging infrastructure and efficient energy management. Renewable diesel offers an approximately 90% reduction in CO 2 emissions and is compatible with existing equipment, making it a viable transitional option for operations not yet ready for electrification. LNG, often promoted as a cleaner fuel, resulted in a 69% increase in fuel consumption and a 48% higher CO 2 emissions in this study, questioning its role in decarbonization. Overall, renewable diesel and low-energy electric trucks appear to be the most promising paths toward greener mining. The optimal solution varies by site, depending on infrastructure, operational demands, and decarbonization goals. Further studies are needed to conduct a comparative analysis of different truck fuel types under varying mining conditions, including evaluations of cost-effectiveness and full environmental impact.

Authors

Institutions

Publication Details

Journal
SIMULATION
Published
2026-02-09
DOI
https://doi.org/10.1177/00375497251412903
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation-based evaluation of energy and operational efficiency for mine haul truck fuel alternatives

Angelina Anani, Sefiu O. Adewuyi, Asieh Hekmat, Diego Canullan Fuentes
SIMULATION
Mining Techniques and Economics
article

Simulation-based evaluation of energy and operational efficiency for mine haul truck fuel alternatives

Angelina Anani, Sefiu O. Adewuyi, Asieh Hekmat, Diego Canullan Fuentes
article en

Abstract

The growing impact of climate change has prompted global efforts toward decarbonization, including ambitious targets set by the 2016 Paris Agreement. In the mining sector, the main contributors to greenhouse gas (GHG) emissions are loading and haulage, typically carried out using large diesel trucks. This study evaluates alternatives to diesel fuel for mining trucks, focusing on electricity, renewable diesel, and liquefied natural gas (LNG). Using discrete-event simulation (DES), we assessed these fuels based on operational data from an open-pit copper mine over a 24-hour period. Results reaffirm diesel as the current industry standard but highlight electric trucks as the most effective at reducing CO 2 emissions by up to 95%, while also lowering operating costs. However, their success depends heavily on charging infrastructure and efficient energy management. Renewable diesel offers an approximately 90% reduction in CO 2 emissions and is compatible with existing equipment, making it a viable transitional option for operations not yet ready for electrification. LNG, often promoted as a cleaner fuel, resulted in a 69% increase in fuel consumption and a 48% higher CO 2 emissions in this study, questioning its role in decarbonization. Overall, renewable diesel and low-energy electric trucks appear to be the most promising paths toward greener mining. The optimal solution varies by site, depending on infrastructure, operational demands, and decarbonization goals. Further studies are needed to conduct a comparative analysis of different truck fuel types under varying mining conditions, including evaluations of cost-effectiveness and full environmental impact.

SIMULATION
University of Concepción (CL), Mineral Resources (AU)
Openalex Percentile: Top 63%
Mining Techniques and Economics
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.