Proven Impact

Real-world Results

Explore how utilities and operators around the world use PowerTwinX to solve complex grid challenges and achieve measurable KPIs.

Transmission

National Grid Optimization

Challenge

High technical losses and unpredictable congestion during peak renewable generation.

Solution

Deployed PowerTwinX for live power-flow simulation, congestion analysis, and dynamic rerouting.

Implementation

Digital mapping with SCADA and operational-data integration.

Key Results & KPIs

15%potential reduction in technical losses*

Zeroavoidable curtailment events*

$2Mpotential annual savings*

*Illustrative PowerTwinX deployment targets — replace with validated customer results when available.

Distribution

Smarter Feeder Management

Challenge

Limited visibility across distribution feeders caused voltage instability, inefficient asset utilisation, and delayed identification of network losses.

Solution

PowerTwinX created a live digital representation of the distribution network to analyse power flows, identify anomalies, and optimise feeder operations.

Implementation

Integrated GIS, smart-meter, SCADA, and feeder data into the PowerTwinX digital twin.

Key Results & KPIs

20%faster identification of network anomalies*

10%improvement in asset utilisation*

25%reduction in avoidable field interventions*

*Illustrative PowerTwinX targets. This one is particularly well-grounded in real-world digital-twin applications. An IEA-supported Indian distribution-grid project used smart meters and sensors across 23 feeders and digital-twin models to analyse losses, load profiles, and voltage quality. It reported improved asset utilisation, more accurate energy measurement, and better visibility.

Renewable Energy

Renewable Generation Optimization

Challenge

Variable solar and wind generation creates unpredictable power flows, increasing the risk of curtailment and making grid balancing more difficult.

Solution

PowerTwinX simulates renewable-generation scenarios, forecasts system behaviour, and identifies optimal operating strategies before changes are implemented.

Implementation

Connected generation data, weather inputs, network conditions, and operational models within the PowerTwinX environment.

Key Results & KPIs

12%potential increase in renewable utilisation*

30%faster scenario analysis*

18%potential reduction in curtailment*

*Illustrative PowerTwinX targets. There is strong research support for this type of application: a UK smart-energy-network digital-twin demonstrator estimated that voltage-control strategies could reduce solar curtailment by 56% for an exemplar day.

Asset Intelligence

Predictive Asset Management

Challenge

Reactive maintenance can result in unexpected failures, costly downtime, and unnecessary field inspections.

Solution

PowerTwinX creates a digital representation of critical assets and continuously analyses operational behaviour to identify deviations and potential failure conditions.

Implementation

Combined asset data, sensor information, historical performance, and predictive models within the digital twin.

Key Results & KPIs

30%potential reduction in unplanned downtime*

20%potential reduction in maintenance costs*

40%faster fault identification*

*Illustrative PowerTwinX targets. This direction is also supported by current digital-twin research, which identifies predictive maintenance, fault detection, scenario simulation, and operational optimisation as major power-system applications.

Energy Consumption

Intelligent Energy Optimization

Challenge

Large energy consumers often lack a unified view of where, when, and why energy is being consumed, making optimisation reactive rather than continuous.

Solution

PowerTwinX builds a digital view of energy consumption across connected systems, identifying inefficient patterns and opportunities for intelligent load optimisation.

Implementation

Connected real-time consumption data, equipment behaviour, operational schedules, and optimisation models.

Key Results & KPIs

15%potential reduction in energy consumption*

20%improvement in peak-load management*

10%potential reduction in energy costs*

*Illustrative PowerTwinX targets.