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Multi-Scale Simulation for Mine Electrification

Overview

Electrifying an entire mining operation introduces a unique set of opportunities and challenges, especially in underground operations where delivering the right amount of power to the right location is complicated by space constraints. However, the potential benefits, such as significant improvements in air quality through the elimination of diesel, are substantial. 

This webinar offers a technical exploration into a simulation-driven approach that facilitates the integration of dynamic movements of haul plants, including haul vehicles, drill and blast operations, and support plants, to manage shift-level activities. This solution not only enables effective planning of charging points and power distribution, but also encourages a rethinking of design strategies. For instance, considering the regenerative braking capabilities of a fully loaded bogger, we explore whether it's necessary to design a horizontal drift in an underground operation for a diesel unit, or if we can reduce or eliminate charging needs altogether. Similarly, for open-cut operations, we examine the necessity of fully charging haul trucks on descent and the potential benefits of trolley assist. 

The second part of the webinar explores the dynamic simulation of the electric power system across various timescales, employing Monte Carlo methods to assess system plans amidst climatic uncertainty. This component enables operators to address critical questions regarding grid sizing, operational restrictions, and the exploration of 'storage in place' techniques. 

Join us for this deep dive into the mechanics behind electrifying mining operations, where we'll uncover the challenges, opportunities, and innovative solutions that come with transitioning to electric power.

Highlights

  • Multi-time scale simulation for mine electrification
  • See how simulation drives what if studies for mine electrification
  • Collaborate and integrate models from suppliers

About the Presenter

Dr Peter Brady is a Principal Application Engineer with a background in numerical simulation, analysis and high-performance computing.  Peter covers these areas of the MathWorks products as well as machine learning, deep learning, deployment and cloud.  He has worked on numerous projects for mining companies, including mets accounting, process modelling and plant optimisation.  Peter is allocated as a technical account engineer for several Australian miners to provide a single point of contact as well as support for developing technical proofs, product deep dives and specialist support to MATLAB and Simulink users. Peter has a PhD in Mechanical Engineering and a Bachelors in Civil Engineering, both from UTS, and is a Chartered Practicing Engineer with Engineers Australia (CPEng NER).

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