The Power of Simulation: Boosting Mining Output to Drive the Energy Transition


Thomas Leurent, CEO, Akselos

  • The mining industry is indispensable to the energy transition. Demand for raw materials for clean energy technologies will increase exponentially as the transition progresses.
  • Mining companies face several challenges to get the most out of their equipment to maximise output, including ageing infrastructure and a need for more visibility into asset health. 
  • Advanced simulation technology can avoid unplanned infrastructure shutdowns, increase safety and extend asset lifespan, driven by a highly detailed understanding of asset health in full compliance with industry standards.

The mining industry is vital in the global shift towards net-zero emissions by 2050. Clean energy technologies require vast amounts of raw materials, including copper, iron ore, lithium, and nickel, all of which must be extracted from mines. For example, according to the International Energy Agency (IEA), an onshore wind plant requires nine times more mineral resources than a gas-fired plant.

Explore the Future of Mining Asset Management: Dive into Simulation-Driven Insights Now!


Embracing RB-FEA for Improved Throughput and Asset Longevity in the Mining Industry

Akselos is revolutionising the mining industry with its cutting-edge mathematical modelling approach – Reduced Basis Finite Element Analysis (RB-FEA). RB-FEA offers three distinct advantages when compared to Finite Element Analysis (FEA):

  1. Speed – complex engineering assessments can now be done in near real-time, enabling more informed and faster decision-making
  2. Scale – large assets, such as reclaimers, can now be modelled at millimetre-level accuracy.
  3. Connectivity – data from the field, such as inspection data, load data, and (if available) sensor data from strain/acceleration gauges, can be ingested in near real-time so that you always have an accurate view of the state of the asset ‘as-it-is-today.’

By adopting RB-FEA, mining companies can see how much asset life remains and identify critical hotspots for an informed and proper risk-based inspection regime to reduce shutdowns. This is achieved in full compliance with engineering standards and seamlessly integrates with existing operations in a user-friendly manner. As a result, operators can significantly improve throughput, enabling them to tackle the challenges associated with maximising the efficiency of their existing assets and meeting the growing demand for raw materials essential for a sustainable future.

Two Akselos laptops with mining assets

Paving the Way for a Sustainable Future with RB-FEA

To achieve net-zero emissions by 2050 and meet the growing demand for raw materials, the mining industry must overcome challenges such as limited visibility into asset lifespans and difficulty identifying critical hotspots. Akselos’ RB-FEA revolutionises the industry by providing fast, accurate, and scalable mathematical modelling, allowing mining operators to optimise asset utilisation, enhance safety, and extend asset life. By adopting RB-FEA, the mining industry can efficiently meet the increasing demand for raw materials, paving the way for a sustainable future and contributing to global efforts in combating climate change.