In the context of global warming and increasing environmental challenges, the use of computational technologies to optimize renewable energy has become critical. Wind energy, as an important renewable energy source, plays a crucial role in the evolving global energy matrix. This study uses the Unreal 4 engine to simulate the mechanics of a wind turbine, providing a computational model that can be rigorously analyzed. The research places particular emphasis on the algorithms used to understand the effects of wake flow on turbine performance. Through data-driven techniques, the paper elucidates the factors that affect the efficiency of wind power generation. The paper also makes recommendations for improving and optimizing the calculations. In addition, the paper explores the integration of wind energy with digital technologies (in the field of e-vehicles), demonstrating the potential synergies between advanced computational methods and sustainable energy for future smart city ecosystems.
|