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Designing Simulation Model for Open-Pit Mining Charging Infrastructure
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
2024 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The emission-heavy open-pit mining industry is exploring a new emission-free era with electrified autonomous haulers. The new technology has challenges, such as designing charging infrastructure for complex environments. This thesis addresses these challenges with a simulation model. This thesis aims to create a foundation and enhance decision-making for designing and evaluating charging infrastructure for Volvo Autonomous Solutions. The paper investigates various charging infrastructure designs using a simulation model verified by Volvo Autonomous Solutions employees, prioritizing minimizing the total cost of ownership and simultaneously meeting the production goal. The project consists of phases such as Needfinding and Research, Modeling, Simulation, and Validation, each aligned with specific activities inspired by Design Thinking principles. The simulation model is developed iterative with a specific site as the case. Several meetings were conducted with the co-advisor and supervisor to validate the simulation model. The thesis has developed a simulation model for charging infrastructures specifically designed for open-pit quarries. The simulation model was developed to make changes to the system easily. Adaptiveness is needed for the constantly changing environment or testing a new open-pit quarry. How to design charging infrastructure for open-pit quarries was found to be a research gap, and there is also an industrial need for guidance on how it should be designed. The scientific contribution concludes that important factors are important in designing charging infrastructure. Whereas the industrial contribution concludes, the simulation model is configured.

Abstract [sv]

Den utsläppstunga dagbrottsindustrin utforskar en ny utsläppsfri era med elektrifierade autonoma dumprar. Den nya tekniken har utmaningar, som att designa laddinfrastruktur för komplexa miljöer. Denna avhandling tar uppdessa utmaningar med en simuleringsmodell. Examensarbetet syftar till att skapa en grund och förbättra beslutsfattandet för design och utvärdering av laddinfrastruktur för Volvo Autonomous Solutions. Uppsatsen undersöker olika designer av laddinfrastruktur med hjälp av en simuleringsmodell som verifierats av anställda på Volvo Autonomous Solutions, med prioritet att minimera den totala ägandekostnaden och samtidigt uppfylla produktionsmålet. Projektet bestod av faser som Needfinding och Research, Modellering, Simulering och Validering, var och en anpassad till specifika aktiviteter inspirerade av Design Thinking principer. Simuleringsmodellen utvecklades iterativt med ett specifik dagbrott som fall. Flera möten genomfördes med företagshandledare och handledare för att validera simuleringsmodellen. Avhandlingen har utvecklat en simuleringsmodell för laddningsinfrastruktur speciellt utformad för dagbrott. Simuleringsmodellen utvecklades för att enkelt kunna göra ändringar i systemet. Anpassningsförmåga behövs för den ständigt föränderliga miljön eller för att testa ett nytt dagbrott. Hur man utformar laddinfrastruktur för dagbrott visade sig vara ett forskningsgap och det finns också ett industriellt behov av vägledning om hur den ska utformas. Det vetenskapliga bidraget drar slutsatser om viktiga faktorer vid utformningen av laddinfrastruktur. Medan det industriella bidraget drar slutsatser om konfigurationen av simuleringsmodellen.

Place, publisher, year, edition, pages
2024. , p. 74
Keywords [en]
Autonomy, Discrete-event simulation, Electrification, Open-pit quarry
Keywords [sv]
Autonomi, Simulering av diskreta händelser, Elektrifiering, Dagbrott
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-26289OAI: oai:DiVA.org:bth-26289DiVA, id: diva2:1863408
External cooperation
Volvo Autonomous Solutions
Subject / course
Degree Project in Master of Science in Engineering 30,0 hp
Educational program
MTACI Master of Science in Mechanical Engineering
Supervisors
Examiners
Available from: 2024-06-26 Created: 2024-05-31 Last updated: 2024-06-26Bibliographically approved

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