Model Order Reduction of High-Fidelity Underground Mine Model

This submission has open access
Paper Abstract

Computer simulations have become an important component of the technical world today and are now the intermediate/third discipline between theory and practical experimentation. New technologies can be built more easily, more accurately, and without expensive prototypes being produced. More time is required for practical simulations of complex products and processes. In using computer models for real time analysis and what-if analysis, this presents a drawback. This is tackled by methods of model order reduction.

A tool used in numerical simulations to reduce the computational complexity of mathematical models is Model Order Reduction or Reduced Order Model (ROM). ROM tries to quickly capture the essential features of a simulation and simplify a wide range of models, including full 3D simulations, systems simulations, and embedded software. In this paper we will look at the case study on an underground mine. The exhaust gases emitted by the vehicle (parked at a dead end) are considered. The ventilation duct forces fresh air through to disperse the toxic gas and keep the CO2 level within the allowable limit. This investigation assists the mine operator in understanding the CO2 concentration and determining whether to increase or decrease the fresh air flowrate.

Submission ID :
NAMVS60
Submission Type
Senior Scientist
,
ABB Global Industries and Services
Global Product Manager Automation&Digital Underground Mining
,
ABB
Senior Principal Scientist
,
ABB Global Industries and Services

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