Wind Condition Analysis
We evaluate potential power generation and wind conditions of the project sites via computer programming and GIS based on the observation and simulation outputs.
1. Evaluation of potential power generation
<Outline>
For evaluating business feasibility of wind farms, the potential power generation has to be calculated based on the wind conditions at the turbine hub heights obtained from observations and simulations and turbine’s power-curves.
We provide potential power generation evaluations by using methods suitable for the project sites.
<Our sales points>
- Conduct desk research and provide approximate evaluations based on existing wind maps and simulation results.
- Estimate potential power generation by excess probability based on uncertainties in observations, simulations, correction methods, etc.
- Evaluate potential power generation under various conditions in various cases (hub heights, layouts, tuebine models, sector managements, output controls at grid connection points, etc.).
2. Evaluation of site-specific wind conditions
<Outline>
The wind farm certification in Japan requires to calculate normal and extreme wind conditions (average wind speeds, extreme wind speeds, turbulence strengths, vertical shears, etc.) at the hub heights to identify the optimal turbine models for the project sites.
By comparing/verifying wind condition data obtained from observations and simulations, we evaluate wind conditions of the project sites complying with global/domestic standards (e.g. IEC, JIS).
<Our sales point>
- Analyze and report meeting with wind farm certification requirements.
- Verify simulation validity by comparing average wind speeds and vertical shears obtained from observations and simulations.
- Evaluate under conditions in various cases (hub altitudes, layouts, turbine models, etc.).
Sample image of design wind speed calculation
3. Others
<Outline>
We conduct overall wind condition surveys, including analysis, statistical processing, and visualization.
- Calculate chronological data, detect/remove outliers, interpolate missing values, and correct long-term fluctuations in wind data obtained from observations and simulations.
- Extrapolate year-long wind data from observations less than a year and/or from various meteorological data (e.g. Japan Meteorological Agency GPV, ECMWF-ERA5) as an input for initial feasibility study.
- Determine/visualize wind data based on various information.
Sample image of wind data visualization
Sample image of programming analysis
