This study was conducted on the design of large wind power blades. The target blade is 20 MW class. After performing an aerodynamic design, it was verified through aerodynamic analysis. Structural loads were also calculated after aerodynamic design. A skin-spar structure was adopted as the structural design results were investigated for safety through structural analysis. The structural configuration. The structural design results were confirmed through laminate optimization of the spar flange and web. The final structural design result was analyzed as being safe.

The growing demand for renewable energy highlights the critical role of wind energy in achieving global decarbonization and climate resilience. This study investigated the current state and future direction in wind resource research and development in South Korea, with reference to the progress and activities of the IEA Wind TCP. The group emphasized the importance of expanding atmospheric measurement networks, advancing integrated modeling frameworks, and validating wind resource datasets to improve accuracy and reliability. In Korea, significant progress has been made in developing high-resolution wind resource maps using mesoscale-microscale coupling techniques to address the challenges of complex terrain. However, further efforts are needed to establish high-precision atmospheric monitoring systems, develop integrated models not only onshore but also offshore wind applications, conduct extensive resource validations across diverse terrains, and improve the accessibility and usability of national reference datasets in wind industry. These advancements would contribute to accelerating wind energy deployment and improving the maintenance efficiency of wind energy systems.

This study aims to evaluate the reliability of LiDAR-derived turbulence intensity (TI) by comparing it with met mast TI data and quantitatively analyzing their differences. Using wind data from a 116-m-high offshore met mast and a fixed LiDAR installed on its platform, the correlations and deviations between the two datasets were assessed. The compliance of LiDAR TI with DNV guidelines was also investigated. The results showed that the TI deviation ranged from -0.01 to 0.00 m/s, and the relative error ranged from -11.37 % to 3.49 %. Most LiDAR TI values met the DNV criteria for site suitability and energy production assessment. However, stricter criteria for load validation revealed limitations at high wind speeds. Overall, LiDAR TI is a reliable material for energy production assessment and provides supplementary data for site suitability and load validation, highlighting its potential in wind energy applications.