Services
Wind
WindLower Variable O&M Cost of Maintaining your Wind Turbines
DigitalClone Platform is a network of wind turbine operators and suppliers, connected through digitalization, materials science and life extension actions. DigitalClone is physics-based, simulating wind turbine drivetrain components using operational and loading conditions to predict the progression of failure. The software provides health prediction capability superior to CMS using machine learning for individual turbine major components at scale (gearbox, main bearing).
DigitalClone, arızanın ilerlemesini tahmin etmek için çalışma ve yükleme koşullarını kullanarak rüzgar türbini aktarma organları komponentlerini simüle eden fizik tabanlı bir dijital ikiz çözümüdür. Yazılım türbin ana parçaları (dişli kutusu, ana yatak) için makine öğrenimini kullanarak durum izleme sistemlerinden daha üstün sağlıklı tahmin yeteneği sağlar.
With DC-E : Reduce risk with computational testing of certified digital models for component qualification & accelerate design optimization schedules; Root Cause Analysis (RCA) of failed component.
Original Equipment Manufacturers
Create internal drivetrain DigitalClone models that generate Component Life Predictions for bearings, gears and drivetrain systems using material science and physics-based analysis based on planned operational profiles and loading conditions.
Test data points through computational test, including operational profiles, design alternatives & material options, to meet competitive design requirements
Create internal drivetrain DigitalClone models that generate Component Life Predictions for bearings, gears and drivetrain systems using material science and physics-based analysis based on planned operational profiles and loading conditions.
Test data points through computational test, including operational profiles, design alternatives & material options, to meet competitive design requirements
Operators
Objectively compare competing technologies and designs to make data-driven decisions.
Evaluate risk and life extension of replacements strategies and suppliers through multi-physics-based simulations of products under realistic operational profiles.
Supply Chain
Leverage high-fidelity physics-based models to forecast multiyear replacement and inventory costs.
Leverage certified DigitalClone models to assess alternate supplier technologies.
The bill of materials with good prognostics is helping us to make and optimize the maintenance action during the life of the wind turbine.” BELEN LINARES, ACCIONA ENERGIA
“We are very proud to be the first major European wind power operator to use the Sentient Science’s reputed technology in our assets. This represents a big step forward in our Turbine for Life program to obtain the maximum performance from our turbines and be ever more competitive.” RAFAEL MATEO, ACCIONA
