Engineering-led computational modelling for industrial energy and process systems operating under dynamic conditions.
The platform is being developed as a modular modelling and optimisation environment capable of representing physical systems, evaluating constraint interactions, and simulating operational variability.
Represents thermodynamic, mechanical, and process relationships.
Corrects predictive divergence between model output and observed data.
Balances competing system objectives simultaneously.
Detects drift and updates modelling behaviour dynamically.
Engineering teams and technical stakeholders can submit operational scenarios for structured evaluation and modelling feasibility review.
