CUSTOM AI DEVELOPMENT · RENEWABLE ENERGY
AI-POWERED RENEWABLE ENERGY SOLUTIONS
More energy, lower maintenance and smarter grids, from a team with granted wind turbine patents.
We build bespoke AI for renewable energy and the engineering firms behind it: aerodynamic optimisation for energy conversion, wind turbine control strategies that balance yield against wear, composite structure optimisation, and weather-driven forecasting for grid demand and output.
Granted patents: US9657714B2 · GB2536006B
VAWT blade with over 49% energy conversion
Proprietary neural networks and genetic algorithms
THE PROBLEM
WHERE RENEWABLE ASSETS UNDERPERFORM
Every percentage point of efficiency and every avoided repair matters over an asset’s lifetime.
CONVERSION EFFICIENCY
Blade and rotor designs leave energy uncaptured.
WEAR AND TEAR
Stress on turbines drives maintenance costs and shortens lifespan.
MATERIAL TRADE-OFFS
Composite structures must balance strength, weight, fatigue and cost.
VARIABLE SUPPLY AND DEMAND
Weather and demand fluctuations make output and grid planning hard.
WHAT WE BUILD
AI FOR WIND, STRUCTURES AND GRIDS
Optimisation and prediction for renewable energy engineering.
AERODYNAMIC OPTIMISATION
Optimising blade and rotor aerodynamics for maximum energy conversion, building on our patented vertical axis wind turbine work.
TURBINE CONTROL STRATEGY
Intelligent stress monitoring to minimise wear and extend turbine life, and AI-driven control strategies that optimise power generation in real time.
COMPOSITE STRUCTURE OPTIMISATION
Predictive algorithms that improve fatigue resistance and refine composite structures for the best strength-to-weight ratio at lower material cost.
GRID OPTIMISATION & FORECASTING
Models that integrate meteorological data to anticipate wind energy output, and forecast grid demand fluctuations to improve efficiency and stability.
DEVELOPED BY OUR TEAM
- A vertical axis wind turbine (VAWT) blade achieving over 49% energy conversion
- Patented aerodynamic innovation (2015)
Have a turbine, structure or grid challenge? Tell us about it.
OUR ENGINE
PROPRIETARY TECHNOLOGY, NOT A RESOLD PLATFORM
We do not resell a general-purpose platform. Three in-house technologies do the heavy lifting, each matched to the task.
NEURAL NETWORKS
Small, agile networks for classification, surrogate development, forecasting and pattern recognition.
In renewable energy: surrogate models and forecasting of output and demand.
IMAGE PROCESSING
Larger convolutional networks for image classification, image segmentation and background removal.
In renewable energy: inspection and monitoring imagery.
GENETIC ALGORITHMS
Hybrid evolutionary optimisation using multiple cross-over, mutation and evolution techniques.
In renewable energy: aerodynamic, structural and control-strategy optimisation.
Our engineering roots go deep: peer-reviewed research on automated optimal design of high-speed missile inlets (Journal of Propulsion and Power; AIAA), and granted UK and US patents in wind turbine technology (GB2536006B, US9657714B2). See our aerospace work →
PATENTS
PATENTED WIND TURBINE TECHNOLOGY
Our renewable energy work is backed by granted UK and US patents.
PATENTS
US9657714B2
Vertical Axis Wind Turbine Rotor and Aerofoil. US patent, granted 2017.
GB2536006B
Eddy current brake assembly, particularly for a vertical axis wind turbine. UK patent, granted 2020.
THE TEAM
Michael, from the Prime AI team, patented an aerodynamic vertical axis wind turbine innovation in 2015.
HOW WE WORK
FROM FIRST CALL TO PRODUCTION
01
FREE CONSULTATION
Explain your challenge, or just explore how AI could streamline and enhance your current business practices. No commitment.
02
DISCOVERY & SCOPING
We review your data, systems and success criteria, then propose an approach, timeline and budget range.
03
PROOF OF CONCEPT
A focused prototype on your own data, so you can judge accuracy and value before scaling.
04
PRODUCTION & MLOps
Deployment to cloud, on-premise or edge, with monitoring, retraining and ongoing support.
FAQ
RENEWABLE ENERGY AI FAQ
By optimising blade and rotor aerodynamics for energy conversion, and by control strategies that optimise power generation in real time while intelligent stress monitoring reduces wear and maintenance.
Yes. Models integrate meteorological data to anticipate wind energy output, and forecast grid demand fluctuations to improve efficiency and stability.
The team holds granted patents for a vertical axis wind turbine rotor and aerofoil (US9657714B2) and an eddy current brake assembly for a vertical axis wind turbine (GB2536006B).
Yes. We deploy models across cloud, on-premise or edge environments, with CI/CD, version control, monitoring, drift detection and automated retraining to keep them accurate over time.
Every project is scoped individually, based on the problem, the data available and the accuracy and integration required. We usually start with a focused proof of concept on your own data, and you get an approach, timeline and budget range before any commitment.
You explain your challenge, or simply explore how AI could streamline and enhance your current business practices. We’ll tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like. There’s no commitment.
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TELL US ABOUT YOUR ENERGY CHALLENGE
Book a free consultation. We will tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like.