Revolutionising Power and Electrification with Adaptive Intelligence Adaptive Intelligence tackles challenges in power generation, transmission and distribution, optimising equipment performance and improving efficiency.
Discover how Adaptive Intelligence empowers applications in Wind, Solar, Hydro, Gas and Steam plants to maximise generation, reduce emissions andenhance grid stability.

Our Mission is to Ignite the Future of Power and Electrification with AI-Driven Solutions

Beyond building exceptional technology, we’re collaborating with vendors and OEMs to create innovative AI code that optimises equipment and operations in power generation, transmission, and distribution. 

 

Power applications are large and non-linear. Adaptive Intelligence adapts to aging equipment as well as variation in feedstock, the environment and the process itself, always optimising to maximise power production and efficiency. 

 

Unlock the full potential of your plant and equipment with Adaptive Intelligence and redefine efficiency limits in the power sector.

Applications of Adaptive Intelligence in the Power Industry

Thermal

Renewables

Grid

Power
Electronics

Software

Electrolysers

Thermal

Renewables

Grid

Power Electronics

Software

Electrolysers

Industry Applications of Adaptive Intelligence in the Power Industry

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Challenges in the Power Industry

Growing electricity demand coupled with the global energy transition towards decarbonisation requires new technologies to adapt to the evolving challenges across generation, transmission, distribution and conversion as well as the orchestration of electricity across the grid from the point of generation to the final point of consumption.

The technology involved in the power and electrification industries is becoming ever more complex and interlinked, while renewable energy, the changing fuel mix, life cycle upgrades, and older station cycling is all adding additional stress to the grid.

There are many types of variation that make it difficult to control and optimise assets and processes in real-time, such as variation caused by:

  • Mechanical wear, affecting optimal control setpoints
  • Performance, introduced by different operator actions
  • Feedstock quality, affecting boiler performance
  • Weather, affecting energy demand and renewables generation
  • Temperature and humidity, affecting plant performance
  • Chemical reactions, affecting clean energy production
OEM’s are constantly challenged to design new machines that improve on:
  • Emission reductions
  • Fuel efficiency

The power industry has adopted new technologies over the years to help manage the many plant control challenges. Some of technologies employed in the power and electrification space include:

  • Control & Visualisation: DCS, PLC, RTU, Substation automation, HMI/SCADA, etc
  • Supervision, Planning & Optimisation: SCADA, AEMS, OMS, DMS, Expert systems, APM, MPC

These solutions generally use techniques such as PID control inside the intelligent device/controller firmware, or inside the user developed application code. The challenge is that the PID control loops are only suitable for linear applications and require frequent recalibration when the process shifts outside of their original region of tuning. Non-linear processes have typically been optimised with Advanced Control applications such as Model Predictive Control (MPC) solutions, but these also suffer from tuning constraints and typically drift out of specification within 6 months (or less), requiring expensive outsourced specialists to recalibrate the system.

Adaptive intelligence brings powerful new features for engineers to control and optimise power generation, transmission and distribution equipment and processes. By analysing data from multiple sources such as sensors, control systems, expert systems and weather stations, our adaptive neural networks enable real-time optimisation of equipment and operations despite the variation that is introduced. This maximises efficiency and minimises environmental impact while enhancing grid stability.

Advantages

of Adaptive Intelligence for the Power Industry

Adaptive intelligence helps to maximise production output and yield while minimising energy consumption and environmental impact. By continuously analysing data from sensors and equipment, our neural networks optimise processes and streamline resources, leading to increased productivity, quality and profitability.

Automatic Adaption

Adapts to power demand and variations in mechanical, feedstock and environmental conditions

Optimal Performance

Powerful MIMO nonlinear logic solving delivers optimum performance

Compute Efficient

Small compute footprint that is deployable from firmware of power electronics, PLC/DCS, grid automation and to larger  optimisation systems

Eliminates System Tuning

Powerful adaption and self-optimisation eliminates the need to tune and re-tune

Automatic Adaption

Adapts to power demand and variations in mechanical, feedstock and environmental conditions

Optimal Performance

Powerful MIMO nonlinear logic solving delivers optimum performance

Compute Efficient

Small compute footprint that is deployable from firmware of power electronics, PLC/DCS, grid automation and to larger  optimisation systems

Eliminates System Tuning

Powerful adaption and self-optimisation eliminates the need to tune and re-tune
Learn More About Our Technology

Get in Touch

We work with your team to develop system models and a training curriculum that accommodates physical tolerances, safety limits, process scenarios and control uncertainties, while simultaneously and continuously optimising around your value drivers.

Contact Us to Schedule a Consultation

Get in Touch

We work with your team to develop system models and a training curriculum that accommodates physical tolerances, safety limits, process scenarios and control uncertainties, while simultaneously and continuously optimising around your value drivers.

Contact Us to Schedule a Consultation
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