Year: 2025
Type: article
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.
Author: Mustafa Sanlı
Institution: Bilkent University
Language: English
Topic: Wind Turbine Control Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4413524258