What's Under the Hood of emissions.AI's "Lowest Achievable Emissions Optimisation Engine"?
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 reduction 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 emissions with the theoretical lowest achievable emissions, the optimisation engine determines “excess” emissions by volume, category and cost, holistically and by individual emitters.
Opportunities for emissions reduction are automatically and continuously highlighted, as they arise, 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 emissions reduction opportunities.
Operate your assets with the lowest achievable emissions.
emissions.AI is a cloud-based AI solution for complex assets to monitor, reduce and control operational emissions, optimise energy use and minimise environmental impact.