Kavaken
Make your turbines and business run better
Description
Kavaken is an advanced artificial intelligence-powered solution focused on optimizing wind energy assets to increase revenue and enhance operational efficiency. It assists energy companies and wind farm operators in making their turbines and overall business perform more effectively by leveraging data-centric insights.
The platform works without requiring any new hardware installations, utilizing existing operational data such as SCADA and vibration information. Kavaken's analytical AI offers specific action recommendations through a suite of modules. These include predictive maintenance to pre-empt component failures, power boosting to maximize energy output, accurate energy forecasting, asset health tracking, automated outage categorization for streamlined reporting, and a revenue-centric cockpit for management oversight. This approach helps users maximize production, reduce operational risks, and improve team efficiency without needing additional investments or team expansion.
Key Features
- Predictive Maintenance: Minimize lost revenue via advance warnings for main component failure using vibration and SCADA data.
- Power Booster: Maximize turbine output by ensuring production is at its peak and analyzing power curve shifts over time.
- Forecast+: Improve day-ahead and intraday sales forecasts using ensembling AI algorithms and alternative data to reduce balancing costs.
- Tracker: Increase asset health by monitoring turbine operations against AI-learned normal behavior limits and alerting on deviations or human errors.
- Automated Outage Tracking: Automate the categorization and reporting of outages for improved understanding of downtime and contractual availability discussions.
- Revenue Cockpit: Provides a dashboard for top and middle management focusing on critical, revenue-centric metrics and tracking 'lost' revenue daily.
Use Cases
- Optimizing wind farm operational efficiency.
- Reducing maintenance costs through predictive analytics for wind turbines.
- Maximizing energy production yield from wind assets.
- Improving accuracy of wind energy generation forecasts.
- Enhancing asset health monitoring and longevity for wind turbines.
- Streamlining outage reporting and analysis in the wind energy sector.
- Providing revenue-focused performance insights for wind farm management.
