Robust Optimization of Piezoelectric Wind Energy Harvester Using Taguchi Method

This chapter presents a detailed exploration of the optimization of piezoelectric wind energy harvesters through the application of the Taguchi method. The study focuses on galloping-based wind energy harvesting, which is noted for its high voltage output and nonlinear limit-cycle oscillation. The chapter introduces a mathematical model of the galloping piezoelectric wind energy harvester (GPWEH), which is crucial for calculating the voltage output and understanding the system's dynamics. The Taguchi design method is employed to formulate experimental designs, considering both control factors and noise factors, to achieve robust performance against variations. The experimental design involves an L27 orthogonal array for control factors and an L12 orthogonal array for noise factors, ensuring a thorough analysis of parameter variations. The chapter highlights the significance of the signal-to-noise ratio (S/N) in determining the optimal parameter levels, aiming to maximize voltage output and minimize performance deviation. Through detailed data analysis and the use of finite element analysis, the study identifies the optimal factorial combination of parameter levels, demonstrating a 12.4% increase in mean voltage output compared to initial parameters. The conclusions provide a guideline for the robust optimization of GPWEHs, emphasizing the effectiveness of the Taguchi method in enhancing the performance of piezoelectric wind energy harvesters. This chapter offers a deep dive into the intricate details of experimental design, mathematical modeling, and robust optimization, making it an essential read for those interested in advancing renewable energy technologies.