FREAパンフレット（英語）

10/26

Nacelle anemometerNacelle mounted LIDARLaserPitch control(rotation of blades)Yaw control(rotation of the nacelle)10Research TargetNumerical meteorological modelWind resource assessment using satellite remote sensing1. Elemental technology for a high-performance wind turbineThe team has demonstrated a prototype of a nacelle-mounted LIDAR as a new technology for measuring the wind speed and direction upwind of the turbine rotor plane. LIDAR measurement ow and turbine feed-forward control can be combined to optimize the turbine cyclic blade pitch and rotor speed to alleviate fatigue eects on the tower, gear and blades coming from wind gusts and wind shear during daily operation. By adopting the fast feed-forward strategy, the lifetime of the wind turbine can be prolonged and the power performance is improved.2. Oshore wind resource assessment using a numerical meteorological model and satellite remote sensingTo select a site and design a wind farm, the wind speed and direction are the key factors. Wind measurement using a meteorological mast is very expensive, especially at an oshore site. To accurately measure the wind speed and direction, new technologies using a numerical meteorologi-cal model and satellite remote sensing have been developed. These technologies are also expected to help reduce the measurement costs.Research OutlineThe team aims to establish elemental technologies for a high-performance wind turbine and its control strategies, and wind assessment technologies for the site selection and operation of wind farms, in cooperation with the domestic wind power industry.These technologies will help reduce the cost of wind power generation, stimulate the domestic market, and improve the international competitiveness of the wind power industry in Japan.The team has set the following goals:1. Improvement of the power output by 5% or more and the lifetime of wind turbines by 5‒10% or more by developing elemental technologies for improving the performance of wind turbines and entire wind farms.2. Advancement of assessment technologies for accurate wind measurements with errors of less than ±5% in annual wind speed and the reduction of assessment costs by 20‒30%.Wind Power Team‒ Advanced Technology for Wind Power Generation ‒In order to accelerate the introduction of wind power generation and achieve grid parity it is necessary to reduce the cost of wind power generation. This requires the continuous development of the hardware aspect of wind turbine technology, and the software aspect of technologies for the selection of suitable sites and management of wind farms.Forecast WindForecast WindLine-of-sight wind speed measured by a nacelle-mounted LIDAR installed on a research wind turbine at an upwind distance of 75‒300 m in front of the turbine.* LIDAR: Light Detection and Ranging(Device for remotely measuring wind speed and direction by laser light)