lessons learned

why a hybrid data analytics tool?

pure data analytics tools do not match market expectations, since cannot predict failures that have not occurred before

they must provide independent and direct visibility to asset owners

nabla combines SCADA with physical models through its unique hybrid data analytics tool

nabla wind power is able to complete via use of physical models the limited data owned by operators, making them really useful

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solution based on knowledge

engineering intelligence

turbines are 95% physics, data analytics need to be linked with design criteria of the turbines

existing limited SCADA needs to be used in a more intelligent way, not only based on machine learning

nabla wind power brings an independent, easy to understand, transparent and multitechnology tool for active asset management

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medical sector and SmartDATA solution

guarantee the redevelopment plan

nabla wind power approach is inspired in the medical sector, using site specific conditions wind conditions instead of life habits, own turbine design characteristics instead of genetics, and SCADA and OEM track record analysis instead of medical periodic tests, creating baselines and KPIs for performance and structural health based on physical models for each unit as done for human beings

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SmartDATA

the tool

4 multi-level dashboards: revenues, health, life and extreme events in a single app for the fleet: independent (no OEM) and multitechnology

nabla smartdata is a 24/7 multi platform web based only on SCADA data available by operators

nabla independent aerolastic models allows understanding real turbines performance

KEY for structural monitoring of the turbine for predictive and condition based maintenance

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extreme events monitoring

extreme loads monitoring can detect and prevent local damages on the components before they progress

identify and evaluate risks on the components associated to extreme wind conditions

components under risk are identified and an alarm is triggered to asset managers

immediate launch of containment, corrective and preventive actions when a risk is detected

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life monitoring

monitoring life expectancy for each component

continuous flow of information, reducing uncertainty on results and supporting the launch of the investments

evaluating and plotting real time damage accumulation

monitoring life recovery due to implemented damage mitigation strategies

agile launch of containment, corrective and preventive actions when an uncontrolled source of life consumption is detected

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advanced maintenance

from TTF (Time To Failure) to TTS (Time To Service)

providing direct inputs to O&M departments

accurate identification of the actions to be taken

based on site specific conditions and design criteria

best continuous online decision making platform

reducing costs and risks

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