Research on computer system program implementation methods for improving wind turbine energy efficiency

Jiale Shen

doi:10.1117/12.3015372

6 February 2024 Research on computer system program implementation methods for improving wind turbine energy efficiency

Jiale Shen

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 1297943 (2024) https://doi.org/10.1117/12.3015372
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiale Shen "Research on computer system program implementation methods for improving wind turbine energy efficiency", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 1297943 (6 February 2024); https://doi.org/10.1117/12.3015372

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