Introduction:

Wind turbines and renewable energy assets often suffer from downtime and inefficiencies, hindering sustainability goals. Aventus AI’s renewable energy optimisation solution integrates IoT, AI, and digital twin technology to monitor and enhance asset reliability, ensuring increased energy efficiency and sustainability.

Explore how Aventus AI transforms renewable energy optimisation—Click here to learn more.

Industry Application

• Sector: Renewable Energy.
• Use Case: Enhancing wind turbine reliability and optimising renewable energy production.

The Challenge

• High failure rates in wind turbines lead to downtime, inefficiencies, and reduced energy output.
• Sustainability goals are impacted by operational challenges in renewable energy systems.

Global Market Opportunity

• The global wind turbine operations and maintenance market is projected to reach $15 billion by 2027, with growing emphasis on predictive analytics and operational reliability.

Solution

Aventus AI’s Renewable Energy Optimisation Solution Includes:

1. IoT-Enabled Monitoring:
   1. Real-time condition tracking of turbine health and performance.
2. AI-Driven Failure Prediction:
   1. Anticipates maintenance needs to reduce downtime and failure rates.
3. Multiphysics Simulations:
   1. Analyses turbine performance and environmental impacts to enhance energy production.

Key Partnerships:

• Renewable Energy Experts: Insights into wind turbine dynamics and optimisation strategies.
• IoT Providers: Integration of sensors for real-time monitoring.

Execution Plan

1. Assessment Phase:
   1. Review turbine failure modes and analyse maintenance history.
2. Sensor Integration:
   1. Deploy IoT-enabled devices for continuous condition monitoring.
3. Digital Twin Implementation:
   1. Develop real-time digital twins tailored to renewable energy assets.
4. Optimisation:
   1. Use AI-driven models to refine operational and maintenance strategies continuously.

Return on Investment (ROI)

• 30% Reduction in downtime and failure rates.
• 20% Increase in energy output efficiency.
• Improved sustainability through optimised renewable energy production.

Regulatory Standards

• IEC 61400: Standards for wind turbine design and safety.
• ISO 50001: Energy management systems compliance.
• Local Renewable Energy Regulations: Ensures adherence to operational and environmental laws.
• IEC 62443 (Cybersecurity):
  • Protects critical turbine data, such as vibration and temperature metrics, from unauthorised access during real-time monitoring.
  • Ensures secure communication between offshore turbines and the digital twin platform.
• ISA 95 & IEC/ISO 62264 (Enterprise Integration):
  • Ensures data consistency between the turbine’s operational monitoring system (e.g., SCADA) and higher-level enterprise systems for streamlined maintenance strategies.
• BIM ISO 19650 (Information Management):
  • Applies if the wind farm includes smart infrastructure like substations or control centres. Ensures structured and interoperable data across stakeholders in infrastructure management.

Outcome

• Enhanced reliability and operational efficiency of renewable energy assets.
• Increased sustainability and energy production capabilities.

Ready to optimise your renewable energy operations? Contact Aventus AI today.