Asset operations are complex and dynamic. With changing operational parameters, constraints and efficiency, knowing what good looks like when it comes to operating with the lowest emissions is often a moving target.

To solve this, emissions.AI has at its very heart the Lowest Achievable Emissions (LAE) Optimisation Engine* which identifies actionable opportunities for emissions savings in real time.

The LAE Optimisation Engine continuously searches for operational configurations and states which can deliver the same production outputs with less power consumption and lower emissions. It takes into consideration the following dynamic variables:

  • operating modes
  • plant configuration
  • equipment efficiency (and degradation)
  • operational constraints & output targets
  • plant and equipment availability
  • changes in process parameters
  • theoretical and historical operational performance benchmarks
By comparing live carbon emissions with the theoretical lowest achievable emissions, the optimisation engine determines “excess” emissions by volume, category and cost, holistically and by individual emitters.

Opportunities to optimise processes and plant for lower emissions are automatically highlighted to users in the control room or asset support teams, providing them with the necessary information to decide if and when to take action as well as providing valuable insight on how the facility is operated and maintained.

Under the hood of emissions.AI’s LAE Optimisation Engine, a number of AI-driven capabilities including a historic LAE assessment, emissions prediction and mathematical optimisation work together to identify and assess opportunities to optimise for lower emissions.

*patent pending

Optimise your assets for lower carbon emissions.

emissions.AI is a cloud-based artificial intelligence solution to help companies optimise complex industrial facilities for lower carbon emissions.

Find out more about emissions.AI