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Mixed Refrigerant Composition Control and Optimisation for LNG Process

Increase of Mixed Refrigerant cooling cycle efficiency up to 1%.
  • Data driven refrigerant composition optimisation to maximise thermodynamic cycle performance.

  • Inventory-based refrigerant composition control relying on phase calculations and MPC to reliably track optimal set points.

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Model Predictive Control

Advanced multivariable control for stable and efficient plant operation
  • control of interacting process variables and constraints;

  • stabilisation of complex units and difficult operating regimes;

  • throughput maximisation while respecting process limits;

  • reduction of variability and off-spec production;

  • integration with existing control systems.

Real-Time Optimisation (RTO)

Lightweight RTO solutions for small-to-mid size industrial deployments
  • continuous optimisation of operating targets;

  • economic trade-off optimisation between product yields and energy use;

  • adaptation to plant perfromance changes;

  • integration with advanced process control.

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Industrial Machine Learning

Reliable and stable ML applications for process control and industrial operations
  • soft sensors for process variables;

  • model based prediction and alerts;

  • process optimisation;

  • faults detection;

  • predictive maintenance.

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Have a query or business proposal? Reach out today!

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PROFWARE SYSTEMS PTY LTD

59 691 634 321

691 634 321

Perth WA, Australia

contact@profsys.com.au

+61 (04) 9969 9714

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©2025 by Profware Systems Pty Ltd

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