Wind Speed Assessments

Wind speed assessments are fundamental to the success of any wind energy project. Accurate measurement and analysis of wind speeds determine the viability of the site for wind turbine installation and significantly influence the design, economics, and overall efficiency of the project. This comprehensive guide details the methodologies, tools, and considerations involved in conducting effective wind speed assessments.

Importance of Wind Speed Assessments

Understanding local wind patterns is crucial for:

  • Estimating Energy Production: Wind speed directly affects the power output of wind turbines.
  • Site Suitability: Identifying optimal locations for turbine placement.
  • Financial Planning: Accurate predictions of energy output influence project financing and economic viability.

Methodologies for Wind Speed Assessment

1. Anemometry

  • Anemometers: Devices used to measure wind speed. They are typically mounted at various heights on a meteorological mast to capture data at levels corresponding to the turbine’s rotor hub and blade tips.
  • Duration of Measurement: Wind data should ideally be collected for a minimum of one year to capture seasonal variations and anomalies.

2. Remote Sensing

  • SODAR (Sonic Detection and Ranging): Uses sound waves to measure wind speed at various altitudes up to 200 meters above the ground.
  • LIDAR (Light Detection and Ranging): Uses laser pulses to analyze wind speeds at heights exceeding 100 meters, ideal for assessing upper-level wind resources for taller turbines.

3. Wind Resource Modelling

  • Software Tools: Applications such as WAsP, WindPRO, and OpenWind use historical wind data and terrain models to simulate wind flow and estimate wind speeds across the proposed site.
  • Integration with GIS: Geographic Information Systems (GIS) are used to overlay wind data with maps, allowing for spatial analysis of wind resources in relation to geographical and man-made features.

Key Factors Influencing Wind Speed Measurements


  • Elevation and Slope: Higher elevations and certain slopes can enhance wind speeds.
  • Surface Roughness: The presence of vegetation, buildings, and other surface elements can affect wind turbulence and velocity.


  • Natural and Man-made Structures: Trees, hills, and buildings can block or divert wind flow, creating complex wind patterns that must be analyzed for turbine placement.

Atmospheric Conditions

  • Air Density: Affects the energy potential of wind; colder, denser air yields more energy.
  • Weather Patterns: Seasonal and daily weather changes influence wind speed and consistency.

Equipment and Installation

Installation of Meteorological Masts

  • Height: Masts should be installed at or above the height of the turbine’s hub to capture relevant wind data.
  • Location: Placement should represent the typical wind conditions of the entire site, avoiding anomalous areas unless specifically required.

Calibration and Maintenance

  • Regular Calibration: Ensures accuracy of instruments.
  • Maintenance Checks: Regular inspections are necessary to prevent data gaps due to equipment malfunction.

Analyzing and Using Data

  • Data Analysis: Wind speed data is analyzed using statistical methods to predict long-term wind patterns and potential energy production.
  • Application: Results from wind speed assessments inform decisions on turbine type, layout, and expected financial returns.


Effective wind speed assessments are critical for maximizing the performance and profitability of wind energy projects. By employing thorough measurement techniques and advanced modeling tools, developers can ensure optimal site selection and project design.

For additional resources, expert consultations, or detailed case studies on wind speed assessments, please visit the technical resources section at

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