FREAパンフレット（英語）

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11P.6P.8P.12P.14P.16Hydrogen Energy Carrier TeamWind Power TeamPhotovoltaic Power TeamGeothermal Energy TeamShallow Geothermal and Hydrogeology TeamEnergy Network TeamP.6P.8Hydrogen EnergyCarrier TeamEnergy Network TeamP.12P.14P.16Photovoltaic Power TeamGeothermal Energy TeamShallowGeothermal andHydrogeologyTeamThe forward-looking wind LIDAR measures the approaching inow in front of the research wind turbine with nine sampling directions.Rated power output: 300 kW, rotor diameter: 33 m, hub height: 41.5 m.The wind turbine is designed to withstand severe climate conditions in Japan (e.g. a highly turbulent ow from the complex terrain) through the collaborative research of AIST and Komaihaltec Inc.Activities and AchievementsMain Research Facilities1) Field demonstration results of the nacelle-mounted LIDAR (Fig. 1)The team succeeded in remotely measuring the wind speed distribution on the upstream side of a wind turbine using a high-performance nacelle-mounted LIDAR. The team found that the wind power could be increased by up to about 6% by reducing the appearance frequency of yaw misalignment larger than ±10° based on the information about the wind direction in front of the wind turbine obtained with the nacelle-mounted LIDAR.2) Advanced assessment technique (Numerical meteorological model) (Fig. 2)The team developed a simulation environment for improving the spatial resolution of the numerical meteorological model by using the Advanced Spaceborne Thermal Emission and Reection Radiometer (ASTER) data obtained from the Ministry of Economy, Trade, and Industry. The team also developed the high-resolution sea-surface temperature dataset Modis-based Sea Surface Temperature (MOSST) (Shimada et al., 2015), thus signicantly improving the reproducibility of atmospheric stability near the sea surface.3) Advanced assessment technology (Satellite remote sensing) (Fig. 3)The team developed a method for retrieving sea-surface wind speed by using a satellite-borne synthetic aperture radar (SAR) in consideration of atmospheric stability. Moreover, it was claried that the relationship between fetch and retrieval errors during oshore winds is remarkably dierent from that during onshore winds due to the land eect.Research wind turbineKomaihaltec Inc. KWT300The LIDAR system measures the wind speed and direction remotely at the height of 50‒200 m above ground.Ground-based LIDARThe system provides about 1 petabyte of storage for large-scale satellite and meteorological data, and it also processes the data.Satellite and meteorological data processing systemThe system surveys acoustic sources using 30 acoustic microphones and transducers.Search device for acoustic sourcesPrototype of the nacelle-mounted LIDARFig. 1: Histogram of yaw misalignment (error in the wind turbine direction against the inow wind direction)Fig. 2: Comparison between various sea-surface temperature datasets and measured data (Osaka Bay)Fig. 3: Dierence between measured value from an ocean observation tower (1 km oshore) and retrieved SAR wind speed (Hiratsuka)yaw erroryaw error[deg](2015.1-4)Windmill diameter[×10min] ±10°60%±10° 40%AboveBelow±10°60%±10° 40%AboveBelowWater temperatureTime