A pillar of renewable energy technology, horizontal axis wind turbines (HAWTs) provide a dependable and well-established method of capturing wind energy. It is more important than ever to maximize the efficiency and dependability of HAWTs as the market for renewable energy sources grows. Through modal analysis, this study attempts to explore the complex dynamics of HAWT blades with the ultimate goal of optimizing design parameters to increase turbine longevity and overall efficiency. The research uses a thorough methodology that combines statistical optimization techniques with sophisticated computational modeling tools. The research process includes utilizing SolidWorks to meticulously create realistic 3D models that accurately replicate the geometry of HAWT blades. ANSYS Workbench is then used to perform modal frequency analysis, allowing for a thorough investigation of natural frequencies and mode shapes. The impacts of changing design parameters on the modal behavior of HAWT blades are then systematically analyzed using statistical optimization techniques made easier by Minitab software. Nine trials are carried out using a Taguchi experimental design approach, each changing factors including the pole’s diameter, height, and the span of the turbine blades. The study reveals complex correlations between these design elements and modal behavior by computing the first four modal frequencies for every experiment. The experimental data main effect graphs offer important insights into how parameter adjustments affect modal frequencies. Important conclusions from the study include the detection of patterns such as the proportionate increase with turbine blade span and the linear drop-in modal frequency with increasing pole height. Furthermore, the study shows that different modes experience distinct effects on modal frequencies due to the diameter of the pole, emphasizing the significance of taking into account a variety of characteristics while optimizing HAWT blade design. This research adds to a better knowledge of HAWT blade dynamics through rigorous experimentation and analysis, and it provides useful guidance for improving design parameters to improve turbine performance and dependability. This work lays the groundwork for improvements in wind energy technology, which will ultimately accelerate the shift to a more sustainable energy future, by utilizing sophisticated computer modeling and statistical optimization techniques.