R&D
Our R&D Culture
Flag Turbines uses an iterative R&D approach known as the V-Model (Verification and Validation Model). This model extends the traditional waterfall model by emphasizing the relationships between our development and testing phases. We use this to ensure high-quality and reliable systems. In our V-Model, Flag Turbines validation and verification activities are aligned with corresponding development activities, creating a “V” shape when visualized. We strongly believe the V-Model is particularly useful for our Flag Turbines product line development, where safety, efficiency, and system reliability are critical.
Turbine
The evolution of our turbine systems reflects a commitment to scalability and adaptability. What began as small, mobile turbines designed for off-grid living and sailing has evolved into larger-scale systems capable of operating in offshore floating environments. Our modular approach allows for flexibility in design, meaning turbines can be customised to meet a variety of energy demands. Our turbines are designed for high efficiency in diverse conditions, from compact models to large floating turbines harnessing strong omnidirectional winds.
Generator
Our advanced generator technology is built for maximum efficiency at slow rotational speeds. Utilising an axial flux design, our generators provide high torque and direct drive capability, eliminating the need for complex gearboxes and reducing mechanical wear. This results in lower maintenance costs and improved durability, making them ideal for community clusters, rural environments and offshore applications. Our patented axial flux system achieves superior performance in capturing and converting wind energy into electrical power, even in low-wind conditions.
Control Software
Our control software has followed a similar development path, scaling in sophistication and capability alongside the turbines. Initially designed to manage small wind systems in confined environments, the software has grown to support the coordination of complex, large-scale turbine networks. Through real-time monitoring and adaptive algorithms, our control systems ensure optimal performance by adjusting to variable wind conditions, maximising energy capture while protecting the system. As our turbines scale, so too does the software’s ability to handle larger, more dynamic installations.
