Solutions
Process simulations & optimisation
Optimise processes and simulate “what-if” scenarios to boost yield and efficiency
Our platform combines real-time plant data with advanced simulation to help engineers identify bottlenecks, reduce energy consumption, and safely test changes before implementation. Digital twins leverage powerful process and flow simulation models to create a comprehensive virtual representation of the entire production system. Operators can run “what-if” and “look-ahead” scenarios to optimise parameters, model utilities, and predict energy needs. Our solution delivers both process-level and operational optimisation, providing holistic simulations to support production and operations teams.
Key features:
- Utility and energy modelling: simulate steam, cryogenic and electrical systems; use machine learning to forecast energy consumption and test different scenarios.
- Dynamic debottlenecking: perform transient simulations of pumps and compressors to identify and remove constraints.
- Scenario testing: capture snapshots of current operations and run dynamic “what-if” and “look-ahead” analyses.
- Interoperability: integrate third-party simulators with K-Spice and LedaFlow models to create a unified digital twin.
- Real-time insights: cloud-native simulations deliver high-fidelity operational data to guide decisions.
Our advanced digital twin solution is built to deliver real business value from day one
- Higher throughput: identify and remove bottlenecks to improve yield.
- Lower energy costs: optimise utility consumption and reduce penalties.
- De-risk changes: test modifications virtually before physical implementation.
- Faster innovation: accelerate process improvements without disrupting production.
