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The wind industry is always seeking ways to better understand the performance of a wind turbine and improve its efficiency. During the operation phase and maintenance, wind turbines go through regular optimization. Due to the regular change in wind speed and direction, wind turbines need to be regulated and positioned accordingly. For a specific wind speed, there are a specific set of pitch angle positions. The study aims to quantify the errors in pitch angle positions and validate how much would the loss be if it deviates from its ideal pitch angle position.

In this study, airfoil data from an NREL 5 MW turbine is used. Qblade is used in the simulation for error estimation. The simulation is based on BEM theory. A wind turbine blade is developed based on the given airfoil data. Multi-parameter BEM simulation is conducted for a range of wind speed, pitch angle, and rpm. Later the ideal pitch angle position for each wind speed bin is recorded. During the simulation process, downscaling the 5 MW to a 1.5 MW turbine was executed. Validation of the downscaling method was also executed. It showed good agreement with the obtained SCADA data of a working turbine. Later, pitch angle errors are introduced in the simulation. 

The results are presented in two cases. Case 1 showed that at below-rated wind speed, there is a significant loss in power production if the error in pitch angle up to 1 degree.  Case 2 also shows error up to 5 degrees in region 2. This study contributes to a better understanding of the effect of pitch angle errors and their loss of power. This study took into account steady wind condition only and does not include climatic conditions or turbulence. A further study focusing on simulating in a high-fidelity setting, including real-time wind or topography conditions, is recommended to achieve a further understanding of the pitch angle errors in a wind turbine.