AI-Powered Renewable Energy Solutions
Harness the power of AI-driven optimisation to revolutionise energy efficiency, structural design, and grid performance. Our custom AI solutions help engineering firms maximise performance, reduce costs, and drive innovation.
Applications
Aerodynamic Optimisation for Maximum Energy Conversion
- Next-Generation Wind Turbine Blades – Developed the world’s most efficient Vertical Axis Wind Turbine (VAWT) Blade, achieving over 49% energy conversion.
- Patented Technology – Michael patented this groundbreaking aerodynamic innovation in 2015, setting new industry benchmarks for renewable energy efficiency.
Wind Turbine Control Strategy Optimisation
Reduce Maintenance Costs
Intelligent stress monitoring minimises wear and tear, extending turbine lifespan and lowering operational expenses.
Maximise Yield & Profit
AI-driven control strategies optimise power generation in real-time, ensuring maximum efficiency.
Composite Structure Optimisation
Enhanced Fatigue Resistance
Predictive algorithms improve structural integrity for longer-lasting, high-performance engineering solutions.
Lightweight, High-Strength Materials
AI refines composite structures to achieve the best strength-to-weight ratio, reducing material costs while maintaining durability.
Energy Grid Optimisation for Maximum Rentability
Advanced Weather Prediction
AI-driven models integrate meteorological data to anticipate and optimise wind energy output.
AI-Powered Grid Demand Forecasting
Predict energy demand fluctuations to enhance efficiency and stability.
Why Choose Our AI Solutions for Renewable Energy?
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Resource Optimization
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Predictive Maintenance
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Sustainability Commitment
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Enhanced Energy Production
By choosing our AI solutions, you’re investing in technology that enhances your operations and supports a greener, more sustainable planet.
Propietary Technologies
Neural Networks
Small and agile networks suitable for:
- Classification
- Surrogate development
- Forecasting
- Pattern recognition
Image Processing
Larger Convolutional networks suitable for:
- Image classification
- Image segmentation
- Background removal
- Genetic Algorithms
Genetic Algorithms
Hybrid evolutionary optimisation tools using multiple cross-over / mutation / evolution techniques suitable for:
- Global multi-parameter multi-objective optimisation
Custom AI Services
