Windesco provides hardware and software solutions that utilize AI-driven analytics and cooperative control technology to optimize the performance of wind power assets. Their offerings address issues of underperformance and high operating costs by enhancing turbine availability and reducing maintenance expenses through data-driven insights and collective turbine management.
Funding
$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Wind power assets often suffer from underperformance due to factors like wake effects, grid congestion, component failures, and suboptimal turbine alignment, leading to reduced energy production and increased operational costs. Traditional methods for optimizing wind farm performance can be reactive, costly, and lack comprehensive, real-time insights into asset health and turbine interactions.
Solution
WindESCo provides a suite of AI-driven hardware and software solutions designed to optimize wind power asset performance and reduce operating expenses. Their core offerings include Swarm, a cooperative control technology that minimizes wake interference between turbines, and Pulse, a comprehensive performance analytics platform that provides insights across the entire asset lifecycle. Additionally, WindESCo offers eCMS, an electrical condition monitoring system that provides predictive maintenance capabilities by offering real-time visibility into critical components. By integrating data from various sources and applying advanced analytics, WindESCo enables proactive identification and remediation of issues, leading to increased annual energy production (AEP), improved uptime, and reduced O&M costs.
Target Audience
WindESCo's primary customers include wind farm owners, operators, and asset managers seeking to improve the performance and reliability of their wind power assets, as well as OEMs shifting service burdens.
Features
- **Swarm:** Employs cooperative control technology to minimize wake effects and optimize turbine performance in low wind conditions.
- **Pulse:** Provides comprehensive performance analytics and asset health monitoring through advanced SCADA data analysis.
- **eCMS:** Offers real-time electrical condition monitoring for predictive maintenance and reduced turbine downtime.
- **Wake Steering:** Optimizes turbine yaw angles to minimize wake interference and maximize energy capture.
- **Predictive Yaw:** Adjusts turbine yaw based on real-time conditions to improve performance and reduce loads.
- **Integrated Data Sources:** Consolidates data from various sources into a single platform for comprehensive visibility.
- **Prioritized Issue Identification:** Analyzes turbine data to identify and prioritize issues for remediation.
- **IIOT System:** Facilitates communication and control between turbines for coordinated optimization.