Analysing Battery Swapping of Battery Electric Load Haul Dump (LHD) Machines in Block Cave Mining Using Discrete Event Simulation (DES)

Abstract 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.

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Publication Details

Journal
Mining Metallurgy & Exploration
Published
2024-12-01
DOI
https://doi.org/10.1007/s42461-024-01146-4
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysing Battery Swapping of Battery Electric Load Haul Dump (LHD) Machines in Block Cave Mining Using Discrete Event Simulation (DES)

Fredrik Sundqvist, Bartłomiej Skawina, Jenni Hooli, Adrianus Halim
Mining Metallurgy & Exploration
Mining Techniques and Economics
article

Analysing Battery Swapping of Battery Electric Load Haul Dump (LHD) Machines in Block Cave Mining Using Discrete Event Simulation (DES)

Fredrik Sundqvist, Bartłomiej Skawina, Jenni Hooli, Adrianus Halim
article en

Abstract

Abstract 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.

Mining Metallurgy & ExplorationVol. 41(6)
Luleå University of Technology (SE), Luossavaara-Kiirunavaara Aktiebolag (Sweden) (SE), SimWay (Sweden) (SE)
European Commission, H2020 Societal Challenges
Affordable and clean energy
Openalex Percentile: Top 74%
Mining Techniques and Economics
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