Simulation-based evaluation of energy and operational efficiency for mine haul truck fuel alternatives
鉱山運搬トラックの燃料代替案のエネルギーおよび運用効率のシミュレーション評価 (AI 翻訳)
Diego Canullan Fuentes, A. Anani, S. Adewuyi, Asieh Hekmat
🤖 gxceed AI 要約
日本語
本研究は、鉱山トラックのディーゼル代替燃料として電気、再生可能ディーゼル、液化天然ガス（LNG）をシミュレーションで評価。電気トラックがCO2排出量を最大95%削減し運転コストも低減する一方、充電インフラに依存。再生可能ディーゼルは既存設備で約90%削減可能で移行期の選択肢に。LNGは燃料消費とCO2排出が増加し、脱炭素への貢献に疑問を呈す。
English
This study evaluates diesel alternatives for mine haul trucks—electricity, renewable diesel, and LNG—using discrete-event simulation based on an open-pit copper mine. Electric trucks achieve up to 95% CO2 reduction and lower operating costs but require charging infrastructure. Renewable diesel offers ~90% reduction with existing equipment, serving as a transitional option. LNG increases fuel consumption by 69% and CO2 by 48%, questioning its decarbonization role. The optimal solution depends on site-specific factors.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の鉱山業界でも大型トラックの脱炭素化は重要課題。本論文は電気・再生可能ディーゼル・LNGの定量的比較を提供し、日本企業が自社の鉱山や建設現場で導入する際の判断材料となる。特に再生可能ディーゼルは既存設備を活用でき即効性が高い。
In the global GX context
This paper contributes to the global discourse on decarbonizing heavy-duty off-road vehicles, particularly in mining. It provides site-specific simulation evidence that challenges the assumption that LNG is a clean alternative, while reaffirming electric and renewable diesel as viable paths. This is relevant for industries with similar vehicle fleets (construction, quarrying) and for regulators setting emissions targets for non-road mobile machinery.
👥 読者別の含意
🔬研究者:The paper provides a comparative simulation framework for evaluating fuel alternatives in mining, useful for further research on decarbonization of off-road vehicles.
🏢実務担当者:Mining companies can use the findings to assess fuel-switching options based on site-specific infrastructure and operational demands, especially the viability of renewable diesel as a transitional solution.
🏛政策担当者:Policymakers should note that LNG may not be an effective decarbonization option for mining trucks, and support for charging infrastructure and renewable diesel deployment is critical.
📄 Abstract（原文）
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 CO2 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 CO2 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 CO2 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.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1177/00375497251412903first seen 2026-06-10 05:34:42
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