Real-Time Wind Turbine Performance Optimization Using FPGA-Based Sensor Networks

Abstract

Wind energy is a key renewable power source, but improving efficiency remains a challenge. This paper presents an FPGA-based sensor network for real-time wind turbine performance optimization. The system collects data from sensors, processes it with FPGA acceleration, and adjusts turbine settings dynamically. This approach reduces delays and improves response times compared to traditional methods. Experimental results show significant gains in efficiency and fault detection. The findings suggest that FPGA-driven sensor networks can enhance wind energy systems by enabling faster decision-making and better performance under changing environmental conditions.