National Institute of Advanced Industrial Science and Technology (AIST)

産総研トップへ

Wind Power Team

Advanced Technology for Wind Power Generation

Over View

 The further reduction of power generation costs is indispensable to accelerate the introduction of wind power generation and to achieve grid parity although the practical application of the wind power generation has progressed. Both the hardware aspect of wind turbines and the software aspect such as assessment technologies for the suitable site selection based on the high-quality wind assessment and the wind forecasting are needed to achieve the further cost reduction.

Research Target

 The team aims to establish elemental technologies for high performance wind turbines and their assessment techniques toward the further reduction of power generation costs and to contribute to the robust promotion of the domestic introduction and the improvement of the international competitiveness of wind power industry in Japan by placing such advanced technologies into practical use together with the domestic wind power industries.


  • The team set a goal of improving amount of power output by +5% or more and the lifetime of wind turbines by +5%-10% or more by developing and demonstrating elemental technologies for sophisticating performance of single wind turbine and the entire windfarms.
  • The team set a goal of errors of ±5% or less as well as the reduction of measurement and assessment costs by 20%-30% by achieving the advancement of assessment technologies for wind power generation.
An example of measured result by a nacelle mounted LIDAR installed on a research
wind turbine (distribution of wind speed in line of sight directions)

Research Outline

1.Elemental technologies for a high-performance wind turbine

 The team will develop and demonstrate a high-performance prototype of nacelle mounted LIDAR as a new promising technology for measuring the wind speed and direction in the upstream side of a wind turbine. This technology can improve the wind turbine’s power output by performing the feed-forward control (yaw control and pitch control) of the wind turbine based on the information on wind speed in the upstream side of a wind turbine obtained through a nacelle mounted LIDAR. In addition, it can improve the reliability and the lifetime of a wind turbine by reducing the load on wind turbine blades. Basic studies and empirical research on them has been conducted at demonstration field.

Numerical meteorological model

Numerical meteorological model

2.Offshore wind resource assessments using a numerical model and satellite remote sensing

 It is indicated that the wind measurements with a meteorological mast at the offshore site is very difficult economically, except for national research and demonstration projects. As a new alternative technology to high-cost in-situ measurements at the offshore site, the team is developing a technology for evaluation and prediction of offshore wind with the use of satellite remote sensing and a numerical meteorological model. Cost reduction (to several hundred million yen (1/5-1/10) or less) is expected by this alternative technology using a numerical meteorological model and satellite remote sensing.

Satellite remote sensing

Satellite remote sensing

Main Research Facilities

A prototype of nacelle mounted LIDAR manufactured by a domestic manufacturer Research wind turbine
A prototype of nacelle mounted LIDAR manufactured bya domestic manufacturer Research wind turbine
[The photograph taken with an operation-state monitoring camera on a nacelle]

It is a device that allows the measurement and assessment of wind speeds and directions on the upstream side of a wind turbine by irradiating laser light in front of a wind turbine (in nine directions).
KOMAIHALTEC Inc. KWT300
Rated power output: 300 kW,
rotor diameter: 33 m,
and hub height: 41.5 m

A wind turbine is designed to withstand severe external conditions in Japan (highly turbulent flow arising from the complex terrains, etc.). AIST also made cooperation and contributions through joint studies at the design stage.
Ground based LIDAR Satellite and meteorological data processing system Search device for acoustic source
Ground based LIDAR Satellite and meteorological data processingsystem Search device for acoustic source
It is a device that remotely measures the wind speeds at a height of 50-200 m above the ground. It is a computer system for providing a storage of about 1 PB (petabyte), which stores large-scale satellite and meteorological data and processes these data It is a measurement system that allows surveys of acoustic sources; it comprises 30 acoustic Microphone and transducers.

Activities and Achievements

1.Field demonstration results of the nacelle mounted LIDAR【Fig. 1】

 The team succeeded in remotely measuring the wind speed distribution in the upstream side of a wind turbine with a high-performance nacelle mounted LIDAR. The team found that wind energy could be increased by about 6% at the maximum by reducing the appearance frequency of a yaw error larger than ±10° based on the information about the wind direction in front of a wind turbine obtained with the nacelle mounted LIDAR.

Fig. 1 Histogram of the yaw error (an error in the wind turbine direction against the inflow wind direction)

【Fig. 1】Histogram of the yaw error (an error in the wind turbine direction against the inflow wind direction)

2.Advanced assessment technique (Numerical meteorological model)【Fig. 2】

 The team developed a simulation environment for improving the spatial resolution of a numerical meteorological model by using the ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) data obtained from the Ministry of Economy, Trade, and Industry. The team developed the high-resolution sea-surface temperature dataset of Modis-based Sea Surface Temperature (MOSST) (Shimada et al., 2015), which resulted in the significant improvement of the reproducibility of atmospheric stability near the sea surface.


Fig. 2 Comparison between various sea surface temperature datasets and measured data (Osaka Bay))

【Fig. 2】Comparison between various sea surface temperature datasets and measured data (Osaka Bay)

3.Advanced assessment technology (Satellite remote sensing)【Fig. 3】

 The team developed a method for sea surface wind speed retrievals with the use of a satellite-borne Synthetic Aperture Radar (SAR) in consideration of the atmospheric stability. Moreover it is clarified that relations between fetches and retrieval errors when offshore winds blow are remarkably different from those when onshore wind blow because of a land effect.

Fig. 3 The difference between a measured value on an ocean observation tower (1 km offshore) and a retrieved SAR wind speed (Hiratsuka)

【Fig. 3】The difference between a measured value on an ocean observation tower (1 km offshore) and a retrieved SAR wind speed (Hiratsuka)

Team Member

Title Name
Leader Tetsuya Kogaki
Senior Researcher Yuuko Takeyama
Researcher Susumu Shimada
Researcher Hirokazu Kawabata