P43 Evaluation of the operational wind-energy forecasting system using a year-long meteorological measurements from a 300 m coastal meteorological tower

Doo-Il Lee, Jae-Hyeong Lee, Sang-Hyun Lee, Yeon-Hee Kim, Baek-Jo Kim, Kongju National University, South Korea

The renewable wind energy has an increasing attention in South Korea due to adverse environmental problems. In this study, the wind-energy forecasting system operated by the Korea Meteorological Administration (KMA) is validated using a year-long wind measurements from a 300 m meteorological tall tower. The wind-energy forecasting system is a post processing system based on the KMA local data assimilation and prediction system (LDAPS). The LDAPS forecast, which is based on the Unified Model (UM) by the United Kingdom Met Office (UKMO), is operationally conducted every 3 hour initialization cycles at a 1.5 km grid spacing. The United Kingdom Post Processing (UKPP) is applied to the LDAPS forecast to downscale the simulated meteorology at 500 m grid resolution, then the Site Specific Processing System (SSPS) subsequently interpolates the downscaled meteorology to a wind-turbine location. A 300 m meteorological tower was installed near a coastal area ("Boseoung") in South Korea to investigate meteorological characteristics of the lower atmosphere boundary layer. The meteorological instruments were deployed at different levels of 10, 20, 40, 60, 80, 100, 140, 180, 220, 260, 300 m above ground level. A year-long meteorological measurements of the air temperature, specific humidity, and wind fields was used to understand local meteorological characteristics at the coastal area and to evaluate the downscaling wind-energy forecasting system. The forecasting performance of the wind-energy forecasting system will be discussed and a new empirical wind-speed extrapolation formulation based on the measurements will be suggested for application over a coastal area.