Product Overview of Kavaken
Kavaken is an Artificial Intelligence (AI) and machine learning-powered solution designed to optimize asset management for renewable energy, particularly focusing on wind energy assets. The platform is engineered to increase revenue and efficiency by leveraging a data-centric approach.
What Kavaken Does
Kavaken addresses the challenges faced by renewable energy asset owners, such as decreasing revenues, aging assets, and increased downtime, by harnessing the vast amounts of data generated by these assets. The platform integrates various modules to drive operational decisions with a focus on revenue optimization, ensuring that wind turbines and other renewable energy assets operate at their maximum potential.
Key Features and Functionality
1. Revenue Cockpit
The Revenue Cockpit provides a live dashboard for monitoring critical metrics such as “Lost” Revenue, Revenue-Based Availability, Energy-Based Availability, and Capacity Factor. It offers a general overview of all wind power plants on a live map, including real-time data on wind speed, production, and temperature. This module enables comprehensive reporting and analysis, giving users a clear view of their assets’ performance.
2. Forecast
The Forecast module uses AI-based advanced analytics to improve short-term production forecasts. It combines the strengths of machine learning models with commercially available forecast models to provide highly accurate Day Ahead (GÖP) and Intraday (GİP) production forecasts. This approach minimizes uncertainty in wind energy predictions, reducing balancing costs and increasing profits.
3. Power Booster
The Power Booster module analyzes turbine power curves using data science tools and AI. It identifies unoptimized areas in the power curve, detects issues such as icing, curtailment, and hysteresis, and provides recommendations to maximize turbine output and revenue. This module helps in improving the overall performance of the turbines by optimizing their power curves.
4. Maintenance Planner
The Maintenance Planner is a maintenance management tool that allows users to enter and track high-level maintenance plans. It visualizes the status of maintenance activities, including on-target, delayed, and planned tasks, and supports commenting and documentation. This module ensures that all maintenance activities are managed efficiently without the need for additional training data.
5. Predictive Maintenance
The Predictive Maintenance module uses machine learning techniques, such as anomaly detection, to predict potential failures of major components like generators and gearboxes. By analyzing high-frequency vibration and SCADA data, it generates warnings ahead of time to prevent breakdowns, reducing unplanned maintenance and downtime. This module maximizes the uptime of wind turbines and minimizes revenue loss due to component failures.
Additional Benefits
- Scalability and Integration: Kavaken operates on a scalable model, optimizing each asset individually without the need for additional hardware or software. It connects seamlessly with existing systems, including those from major OEMs.
- Increased ROI: Kavaken has been shown to increase the Return on Investment (ROI) for renewable energy plant owners by an average of 1.6%, with some clients experiencing up to a 5% increase.
- Operational Efficiency: The platform enhances workforce efficiency, reduces operational risks, and streamlines processes such as contractual availability discussions and outage categorization.
Conclusion
Kavaken is a comprehensive AI-powered solution that enhances the efficiency, reliability, and profitability of renewable energy assets. By leveraging advanced data analytics, machine learning, and predictive maintenance, Kavaken helps renewable energy asset owners maximize production, reduce downtime, and improve overall asset performance. Its user-friendly interface and integrated modules make it an invaluable tool for optimizing and managing renewable energy assets effectively.