Jungle AI
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Maximise
Energy Production

A wind farm is shrouded in unnecessary complexity.

No single location, turbine or component is the same and the right data access is typically constrained and opaque. Hardware and software upgrades fundamentally change turbine operations making reference or forecasts unreliable.

How we conquer this complexity

Data Ownership

Data Ownership

We connect to the right data sources and provide access to a cleaned and standardised data landscape. Offering one single source of truth.

Farm Model

Farm Model

The normality modelling results in a digital copy, reflecting all the characteristics of that particular site including wake effects, blocking and the traits of every single component.

Predictive Maintenance

Predictive Maintenance

We detect and prioritise emerging issues across all critical components with sufficient time to intervene.

Optimisation

Optimisation

We identify underperformance and provide context around the root cause, such as yaw misalignment, software updates and changes in pitch control.

CASE STUDY

Onshore
wind farm

Driving efficiency in an onshore wind farm

Turbines
Operations
~42
18
1
DATA INGESTED
80
> 6.5 m
Goals
PREDICTIVE MAINTENANCE
OPTIMISATION
Results
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