From early screening to fleet- and project-scale investment cases, delivered through experience-led consulting capabilities paired with a custom techno-economic modelling toolkit.
Techno-economic judgment is only as good as the domain knowledge underneath it. These are the fields where the HIC team's expertise is career-deep.
Over 35 years of rail and systems engineering, including nine years as Chief Engineer of Aurizon's national rolling stock fleet and four leading its fleet decarbonisation program: locomotive and train design, technical governance, and integrating new propulsion technologies into live operations.
Careers in mineral processing research and innovation at Rio Tinto, BHP and CSIRO: flowsheet development, flotation and ore sorting, and pilot-to-commercial scale-up, backed by more than 30 patents.
How batteries really behave in heavy applications: performance limits, optimal sizing and hybrid configurations, grounded in research published with the University of Queensland on battery and hydrogen propulsion in heavy-haul rail.
Advanced cost-and-value modelling, process simulation, and sensitivity and Monte Carlo risk analysis: the quantitative engine behind HIC's fleet-transition strategies and mineral processing investment cases.
Every model is built around the client's data, operations and constraints, capturing complexity that generic tools miss. Options are screened and evaluated, then the survivors are deep-modelled.
Model the operation from real data: energy and duty cycles for a fleet, or unit operations, metallurgy and recovery for a process.
Value-Ease screening and technical-maturity / feasibility optioneering, triaging the field to the options worth deep analysis.
Full cost-and-value modelling of each shortlisted option: total cost of ownership for a decarbonisation decision, or recovery, net present value and ramp-up risk for a processing or project decision.
Sensitivities, staging and risk: investment timing and procurement strategy, or production ramp-up and supply-risk scenarios.
Let's talk about how custom modelling can de-risk it.