Dynamic Influences of Optimisation of Emissions

Dynamic Influences of Optimisation of Emissions

PJ Bangerter1 B.Min.Tech(Hons), FAusIMM and J Pan2 BSc, BCom
1. Principal Consultant, Orchardman Pty Ltd, Forest Lake Qld 4078. Email:This email address is being protected from spambots. You need JavaScript enabled to view it.
2. Consultant, Whittle Consulting Pty Ltd, Surrey Hills Vic 3127. Email:This email address is being protected from spambots. You need JavaScript enabled to view it.

Keywords: Methodology, Carbon, Scope 3, Optimisation,

INTRODUCTION - THE STATE OF PLAY
Optimising for Net Present Value (NPV) with a strategic optimiser such as COMET, Prober-E, Blaser or Minemax has hitherto lacked a dynamic method for analysing the so-called 3rd-order outcomes (such as Carbon emissions) of optimisation within life-of-mine planning. Optimisation, per se, has natural effects on carbon emissions in a life-of-mine plan. Contemporary strategic planning employs a mathematical optimiser to make sense of non-linear data (i.e., a block model) and produces a best-NPV optimised mining schedule, within a set of constraints. The very act of optimisation influences emissions, and in a dynamic way.