| Title |
Development of a High-Resolution Wind Speed Downscaling Model Based on Climate Change Scenarios for Transmission Equipment Design and Preventive Maintenance Optimization |
| Authors |
문주영(Joo-Young Moon) ; 김혜진(Hye-Jin Kim) ; 황영미(Young-Mi Hwang) ; 김준호(Joon-Ho Kim) ; 박성호(Sung-Ho Park) ; 김희겸(Hee-Kyum Kim) |
| DOI |
https://doi.org/10.5370/KIEE.2025.74.7.1257 |
| Keywords |
Transmission Facilities; Downscaling; Climate Changes; Wind Speed Estimation; Wind Map |
| Abstract |
Due to the rapidly changing climate environment, power facility failures and increasing social concerns, it is essential to secure basic data for deriving optimal design standards and preventive maintenance strategies through wind speed estimation and downscaling technology that reflects climate change outlook. This paper developed a model that downscaling low-resolution wind speed data to high-resolution and a model that estimations the average wind speed as the maximum wind speed to ensure stable operation of overhead power transmission facilities in response to climate environment changes. Based on the SSP scenario and AWS and ASOS data provided by the Korea Meteorological Administration, the Downscaling model secured 95.96% accuracy, and the maximum instantaneous wind speed estimation model secured 90.18% accuracy. This paper presents a new paradigm for improving the design and operational efficiency of transmission facilities and will serve as an essential technological foundation for responding to climate change. |