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Battery load-haul-dump (LHD) machines in underground mines
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0003-2950-5806
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Electrification is one of the enablers to achieve future net-zero targets. With current battery technology, as close-to-surface deposits are depleted, the need for metals and rare earths is pushing underground mines deeper into the Earth’s crust.

Underground mines have traditionally relied on diesel-powered load-haul-dump (LHD) machines in their loading and hauling operations. These machines are powered by internal combustion engines (ICEs) that emit exhaust gases, diesel particulate matter (DPM), and heat. Battery powered LHDs have been used in underground mining since the early 2010s, where specifically Canada has been the earliest adopter of this technology. Contrary to ICEs, battery electric vehicles (BEVs) use electric engines that also enable higher energy efficiency than ICEs and do not produce exhaust. Therefore, they have the potential to facilitate cleaner air and reduce ventilation demand, thus reducing costs.

This research investigated and analysed how the implementation of battery electric (BE) load-haul-dump (LHD) machines affects current underground mine loading and hauling practices and operations. When BEVs are used instead of diesel LHDs, they bring with them additional aspects that are crucial to explore, such as the perception of the personnel and how BEV LHDs differ from a productivity perspective, specifically when using battery swapping. Furthermore, when changing the machine type from diesel to BEVs, what type of possibilities will that introduce to the required ventilation and air conditioning demands, as it has been traditionally established based on the number of diesel machines within the underground mine and their engine power.

This research was initiated by exploring the points of view and perspectives of underground mining personnel and management and analysing how these perspectives differed. After which, the productivity and operational studies were conducted using two case study mines: a block cave mine and a sublevel caving mine. The research continued to investigate alternative configurations of LHDs for optimised productivity and identifying queues and the required number of extra batteries for BEV operations using discrete event simulation (DES). Subsequently, field measurements were conducted in the case study sublevel caving mine to quantify the potential reduction in the ventilation requirement, where ventilation-related energy consumption can result in half of the mine operation’s energy use. Finally, comparison studies between diesel, electric, and BEV LHDs were performed based on machine specifications.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2026.
Series
Doctoral thesis / Luleå University of Technology, ISSN 1402-1544
Keywords [en]
Underground mining, Battery electric vehicles (BEVs), Discrete event simulation (DES), Load-haul-dump machines (LHDs), ventilation requirements, machine specifications
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-117015ISBN: 978-91-8142-030-2 (print)ISBN: 978-91-8142-031-9 (electronic)OAI: oai:DiVA.org:ltu-117015DiVA, id: diva2:2051342
Public defence
2026-06-11, A117, Luleå University of Technology, Luleå, 10:00 (English)
Opponent
Supervisors
Available from: 2026-04-08 Created: 2026-04-08 Last updated: 2026-04-08Bibliographically approved
List of papers
1. Battery electric vehicles in underground mines: Insights from industry
Open this publication in new window or tab >>Battery electric vehicles in underground mines: Insights from industry
2025 (English)In: Renewable & sustainable energy reviews, ISSN 1364-0321, E-ISSN 1879-0690, Vol. 208, article id 115024Article in journal (Refereed) Published
Abstract [en]

The implementation of battery electric vehicles (BEVs) in underground mining is relatively recent. BEVs offer several advantages over diesel machines, including enhanced working conditions through reduced noise and heat and the lack of toxic exhaust gases or diesel particulate matter. In addition to reducing greenhouse gases, they have the potential to reduce ventilation and air conditioning costs. Nevertheless, there are certain concerns about BEVs, in areas of productivity, fire safety, economic viability, user-friendliness, and potential electrical-related issues. To address these, two surveys were conducted, one among underground mine management and the other among mine personnel to ascertain their opinions and experiences of BEVs. The results indicated the primary motivators for mines to adopt BEVs were to create a healthier working environment and reduce carbon emissions. The factors hindering the implementation were high costs and the lack of proven reliability. Mine personnel appreciated BEVs for their quietness and reduced fluids and components; however, they had concerns about fire safety and limited battery duration. This study presents the extent of BEV use in underground mining and associated fire incidents and a summary of the survey results.

Place, publisher, year, edition, pages
Elsevier, 2025
Keywords
Battery electric vehicles (BEVs), Underground mines, Responsible mining, Diesel exhaust contaminants, OH&S regulation, fire safety, Productivity
National Category
Vehicle and Aerospace Engineering
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-110604 (URN)10.1016/j.rser.2024.115024 (DOI)001349499100001 ()2-s2.0-85207341372 (Scopus ID)
Funder
EU, Horizon 2020, (no. 101003591)
Note

Validerad;2024;Nivå 2;2024-10-30 (joosat);

Full text: CC BY license

Available from: 2024-10-30 Created: 2024-10-30 Last updated: 2026-04-08Bibliographically approved
2. Comparative analysis: Evaluating battery and diesel load haul dump (LHD) units’ productivity in a block cave mine using discrete event simulation (DES)
Open this publication in new window or tab >>Comparative analysis: Evaluating battery and diesel load haul dump (LHD) units’ productivity in a block cave mine using discrete event simulation (DES)
2024 (English)In: Proceedings of the 9th International Conference and Exhibition on Mass Mining, MassMin 2024 / [ed] Daniel Johansson, Håkan Schunnesson, Luleå University of Technology, 2024, p. 1164-1175Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Luleå University of Technology, 2024
National Category
Other Mechanical Engineering
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-110083 (URN)
Conference
9th International Conference and Exhibition on Mass Mining (MassMin 2024), September 17-19, 2024, Kiruna, Sweden
Funder
EU, Horizon 2020, 101003591
Note

ISBN for host publication: 978-91-8048-525-8;

Available from: 2024-09-23 Created: 2024-09-23 Last updated: 2026-04-08Bibliographically approved
3. Analysing Battery Swapping of Battery Electric Load Haul Dump (LHD) Machines in Block Cave Mining Using Discrete Event Simulation (DES)
Open this publication in new window or tab >>Analysing Battery Swapping of Battery Electric Load Haul Dump (LHD) Machines in Block Cave Mining Using Discrete Event Simulation (DES)
2024 (English)In: Mining, Metallurgy & Exploration, ISSN 2524-3462, Vol. 41, p. 2877-2890Article in journal (Refereed) Published
Abstract [en]

Diesel-powered load haul dump machines have been the backbone of underground mining loading and hauling operations for over six decades. However, as mines get deeper, and regulations become more rigorous, the adoption of battery electric vehicles (BEVs) has the potential to enhance energy efficiency and provide a healthier environment for miners. Electric engines have a significantly higher energy efficiency and produce no exhaust gases or diesel particulate matter. The use of BEVs in underground operations introduces additional factors to consider, such as battery swapping and the required number of batteries, swapping, and charging stations. This study conducted a discrete event simulation using Arena simulation software with a focus on queueing and its relationship to different numbers of machines, batteries, and swapping times in an underground block cave mine. The results suggest that when there are six, eight, or 12 LHDs and four swapping and charging stations with an unlimited number of batteries, the queueing time to swap the batteries remains minimal. In scenarios with eight LHDs and a limited number of batteries, depending on the battery swapping time, 2–2.5 batteries per machine are required to achieve maximum production with minimal queueing. However, when there are too few batteries, queueing becomes significant. Moreover, when the number of working groups (machines going for a battery swap around the same time) is less than the ratio between the battery operational time and the swapping time, the queueing remains low. 

Place, publisher, year, edition, pages
Springer Nature, 2024
Keywords
Battery LHDs, Load haul dump machines, Block cave, Discrete event simulation, Swapping, Alternative hauling, Loop hauling, Queueing
National Category
Other Civil Engineering
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-110967 (URN)10.1007/s42461-024-01146-4 (DOI)001370341600001 ()2-s2.0-85211437710 (Scopus ID)
Funder
EU, Horizon 2020, Grant Agreement no. 101003591, 2021–2024
Note

Validerad;2025;Nivå 2;2025-01-03 (signyg);

Full text: CC BY license

Available from: 2024-12-05 Created: 2024-12-05 Last updated: 2026-04-08Bibliographically approved
4. Preliminary assessment of airflow quantity reduction when using Battery Electric Vehicles (BEVs) — Field results from LKAB Malmberget Mine, Sweden
Open this publication in new window or tab >>Preliminary assessment of airflow quantity reduction when using Battery Electric Vehicles (BEVs) — Field results from LKAB Malmberget Mine, Sweden
(English)Manuscript (preprint) (Other academic)
National Category
Energy Engineering
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-117014 (URN)
Projects
Vinnova (Reference no 2024-02665)
Available from: 2026-04-08 Created: 2026-04-08 Last updated: 2026-04-08Bibliographically approved
5. Underground mining loading and hauling machinery: Comparative analysis using machine specifications
Open this publication in new window or tab >>Underground mining loading and hauling machinery: Comparative analysis using machine specifications
(English)Manuscript (preprint) (Other academic)
National Category
Other Engineering and Technologies
Research subject
Mining and Rock Engineering
Identifiers
urn:nbn:se:ltu:diva-117013 (URN)
Available from: 2026-04-08 Created: 2026-04-08 Last updated: 2026-04-08Bibliographically approved

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1415161718192019 of 20
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