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Sustainability in underground mining: Comparing haul trucks through operational costs and CO2 emission
University West, Department of Engineering Science.
University West, Department of Engineering Science.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis explores the haul trucks comparison through CO2 emission and operational costs. The study focuses on the use of haul trucks in underground mining and discusses four distinct types of truck, with their merits and demerits. The aim of this research is to analyze and compare diesel, diesel with electric, electric with battery swapping, and electric with trolley charging haul trucks by maintaining consistency in truck data and mine production capacity. Hence this study provides valuable insights into the economically viable and environmentally conscious choice of haul truck for mining operations.

The methodology section of this report involves analyzing an underground mining route for haul truck operation and calculating fuel consumption. The energy consumption of haul trucks is determined using reference data from the conference journal underground mining technology 2017, while operational costs and CO2 emissions are calculated using equations from the literature.

The results are presented in graphs to help visualize and compare the operational costs and CO2 emissions of all haul trucks.The results from case application in this report show that the electric with trolley charging truck system is the opted choice. This adoption shows that it is cost-effective, with a daily operational cost advantage when compared to all other trucks. When it comes to CO2emission from energy consumption of trucks, electric-powered haul trucks have a lower emission when compared to other truck options

Place, publisher, year, edition, pages
2023. , p. 39
Keywords [en]
Electric vehicle, engineering
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hv:diva-20802Local ID: EXE700OAI: oai:DiVA.org:hv-20802DiVA, id: diva2:1798815
Subject / course
Technology
Educational program
Master Programme in Electric vehicle engineering
Supervisors
Examiners
Available from: 2023-10-04 Created: 2023-09-20 Last updated: 2023-10-04Bibliographically approved

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