04 Mar 2024
 | 04 Mar 2024
Status: this preprint is currently under review for the journal WES.

Full-Scale Wind Turbine Performance Assessment: A Study of Aerodynamic Degradation and Operational Influences

Tahir H. Malik and Christian Bak

Abstract. This study investigates how blade aerodynamic modifications, including Leading Edge Roughness (LER), influence offshore wind turbine performance over their operational lifespan. Developing a novel methodology, this research analyses data from twelve multi-megawatt turbines over a twelve-year period, focusing on the intricate relationship between blade erosion, blade enhancements, operations and maintenance events, control PLC parameter updates, and their cumulative impact on turbine efficiency. The analysis hinges on the integration of SCADA data, Operations and Maintenance (O\&M) records, and air density corrections. A key contribution is the development of a Turbine Performance Integral (TPI) method, which leverages generator speed and power output data to track performance trajectories. Seasonal-Trend decomposition using Locally Estimated Scatterplot Smoothing (STL) further isolates long-term trends and seasonal variations in performance. Overcoming data availability and quality limitations, the study reveals significant findings concerning software updates impacts on turbine control strategies, the variable effects of blade repairs and enhancements and the complex interaction between O\&M events and performance. This study's strength lies in its methodical approach and statistical rigour, offering a path forward in the quest for optimised wind turbine efficiency and advancing renewable energy.

Tahir H. Malik and Christian Bak

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on wes-2024-21', Davide Astolfi, 05 Mar 2024 reply
  • RC1: 'Comment on wes-2024-21', Anonymous Referee #1, 19 Mar 2024 reply
Tahir H. Malik and Christian Bak
Tahir H. Malik and Christian Bak


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Short summary
This study explores the effect of blade modifications on offshore wind turbines' performance through a detailed analysis of twelve turbines over twelve years. Using a unique method utilising time series decomposition that combines various data sources, the research uncovers how blade wear, repairs, and software updates impact efficiency. The findings offer valuable insights into improving wind turbine operations, contributing to the enhancement of renewable energy technologies.