ANNEA - Predictive maintenance and underperformance detection

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4 Deploys

The next-generation predictive maintenance platform

Page last modified
February 22 2024

ANNEA helps renewable energy companies to reduce operation & maintenance costs, optimize operations, and, therefore, make green energy more affordable. Connecting to the existing sensors, we create a digital twin of each machine to perform real-time failure prediction, underperformance detection, and its root causes.

Our solution is based on a combination of physical models, normal behavior models, and data-driven self-learning AI models. This combination enables more reliable and precise forecasts comparing to other solutions in the market.

Pros & Limitations
1
One-stop maintenance is enabled
1
Operations are optimised
1
Unplanned downtime is reduced up to 50%
1
O&M costs are reduced significantly
1
Up to 15% better performance
0
Data acquisition might get complicated and take some time due to the client's data policy and regulations
Specification
Specification Title Specification Description
Areas of Application
Wind energy sector (onshore & offshore); Solar energy, Green hydrogen co-production.
Prediction
On average 120 days before the failure. | Close to 0% false-positives.
Flexibility
Adaptable across the renewable energy sectors. | The dashboard is fully customizable: the variables are shown according to the clients' needs and in the required language.
Software
SaaS model.
Asset Life Extension
Increased due to the failures predictions and preventions.
Condition Based Maintenance
A health index is calculated and shown for each asset together with the maintenance/repair recommendations.
Modelling
Cross-modelling approach: a mix of normal behavior models with AI and physical models.
Accessibility
Adaptable solution deployment, depending on the client's IT architecture.
Acquisition System
Connecting to the sensors that are already installed in the renewable assets.
Deployment
Can be done on-premise or client's cloud or ANNEA cloud.

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Technology Readiness Level

The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.

[8/9]

Development Technology demonstration Mature / Proven
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ANNEA is a young clean-tech German company that operates mainly in the green energy sector. Our team speaks 12 languages in total that allows us to grow internationally quite rapidly. A mix of engineering, IT, and energy industry expertise enables us to deliver the best-in-class failure forecasts and detect underperformance of the assets.

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