(392aa) Optimizing Wind Turbine Yaw Alignment with the Success Path Method: A Case Study on the Siemens Gamesa 8 MW Wind Turbine

This study presents a comprehensive analysis and optimization of the yaw system in the Siemens Gamesa SG 8.0-167 DD wind turbine, employing the Argonne National Laboratory’s Success Path Method (SPM) as a systematic framework for risk evaluation and performance enhancement. The yaw system, which aligns the turbine’s nacelle with prevailing wind directions, plays a critical role in maximizing energy capture and ensuring structural safety under varying operational conditions. Our methodology integrates detailed modeling of the mechanical, electrical, and control components, including yaw motors, gearboxes, sensors, and braking systems with the SPM to construct success path diagrams that identify critical dependencies and single points of failure.

By applying the SPM, we qualitatively assess the likelihood of successful yaw alignment and identify key performance improvement opportunities. The analysis considers both normal operations and potential challenges, such as sensor inaccuracies and mechanical redundancies, to propose targeted modifications that enhance system reliability and efficiency. The resulting framework not only supports the optimization of yaw system operations but also contributes to the broader objectives of energy system decarbonization and improved control strategies in renewable energy applications.

Our findings demonstrate that the integrated SPM approach provides valuable insights into the complex interplay of components within the yaw system, ultimately leading to improved operational performance and risk mitigation. This work underscores the potential of advanced modeling, control, and optimization techniques to enhance the resilience and effectiveness of energy systems in a rapidly evolving renewable energy landscape.