BladeSENSE provides an IoT solution for wind turbine optimization by integrating proprietary sensors onto blades for real-time aerodynamic performance monitoring and structural health analysis. Its cloud-based platform processes this data to deliver actionable insights, increasing energy production and reducing maintenance costs.
Funding
Funding not disclosed
Founders
Product
Problem
Wind turbine blades are susceptible to aerodynamic imbalances, icing, and structural fatigue, leading to reduced energy production, increased operational costs, and potential component failure. Current monitoring methods often lack real-time data granularity or comprehensive analysis, hindering proactive maintenance and performance optimization.
Solution
BladeSENSE offers an IoT-based solution for wind turbine optimization through its "Connected Blade" concept. The system integrates proprietary sensors, such as eTellTale for aerodynamic performance monitoring and eVIB for vibration analysis and ice detection, directly onto turbine blades. This enables real-time data acquisition on blade behavior and structural health. The collected data is processed via a cloud-based platform utilizing precision-driven algorithms to provide actionable insights for optimizing energy production and reducing maintenance expenditures. This integrated approach aims to increase blade lifetime and overall turbine efficiency.
Target Audience
The primary customers are wind farm operators and turbine manufacturers seeking to enhance operational efficiency and reduce the total cost of energy through improved production and lower maintenance costs.
Features
- eTellTale sensor for real-time monitoring and optimization of blade aerodynamic performance, contributing to a potential 5% increase in production.
- eVIB sensor for rapid ice detection and vibration analysis, facilitating predictive maintenance to mitigate blade breakage risks.
- Data acquisition capabilities with variable frequency collection tailored to specific monitoring needs, including aerodynamics and structural health.
- Cloud-based automated data processing pipeline employing precision-driven algorithms for analysis.
- Secured, encrypted data transfer protocols to ensure data integrity during transmission.
- Client-oriented web-based dashboards providing high-value diagnostics, analysis, and automated alerts.
- Compatibility with any wind turbine, suitable for both onshore and offshore installations.