Wind Characteristics

As the wind power is proportional to the cubic wind speed, it is crucial to have detailed knowledge of the site-specific wind characteristics. Even small errors in estimation of wind speed can have large effects on the energy yield, but also lead to poor choices for turbine and site. An average wind speed is not sufficient. Site-specific wind characteristics pertinent to wind turbines include:

We are providing information on those dimensions and tools for basic yield calculations. However, due to the sensitivities, no calculation can replace on-site wind measuring campaigns.

Wind Speed Patterns

Wind speed patterns can be depicted as a wind speed spectrum. A high value indicates a significant change in wind speed over the corresponding time period. The graph below shows typical wind patterns for a site in Western Europe.

Wind Spectrum

The peaks in the wind speed spectrum account for annual, seasonal and daily patterns as well as short-term turbulences. A striking phenomenon is the spectral gap between time periods of 10 minutes to 2 hours.

These patterns are important not only for yield estimations, but also for short-term and medium-term forecasting of plant output.

Wind Speed Distribution: The Macrometeorological Range

Large-scale movements of air masses account for 3 peaks on the macrometeorological side of the spectrum.
  1. Diurnal Pattern caused by different temperatures at day and night. This effect is more distinct at coastal sites than off-shore.
  2. Depressions and Anti-cyclones usually occur with periods of about 4 days. Tthis phenomenon is more distinct in oceanic than continental regions.
  3. Annual Pattern varies with the degree of latitude and vanishes in close proximity to the equator.

The distribution of hourly average wind speeds (i.e. excluding turbulence) can be described by a so-called Weibull distribution:

with a shape factor k and a scaling factor A. The dimensionless shape factor reflects the influence of the topography on wind speeds and ranges between 1.2 (mountains) to 4.0 (monsoon regions). The scaling factor A is roughly 125% of the average annual wind speed. In practice, the wind distribution is measured first, and then the parameters are adapted and used for further calculations.

Micro-meteorological Range: Turbulence

One of the main characteristics of wind its high temporal variations. Wind speeds can double or triple within seconds, meaning power increased 8 or 27 times! Turbulence intensity increases with obstacles such as buildings, tress or steep mountain tops. Sites with high average wind speeds tend to suffer less from turbulence.

Why is turbulence bad for wind turbines?

  • Reduced production of energy
  • Increased wear and tear shorten lifetime of the turbine
  • Increased dynamic loads on the blades

What are sure signs of high turbulence?

  • Inhomogenouse landscapes
  • Steep cliffs or mountain tops
  • Regions with many obstacles - buildings and other

Distribution of Wind Direction

Although not of interest for the site selection, the distribution of the wind direction is important for the layout of a wind farm.

Distribution of direction of wind speed

This is done in three steps:

  1. Measure the time wind blows in each direction - sector. One sector may cover 10° - 30°. In the diagram, wind blows south more than 20% of the time, whereas south-east only 5%.
  2. Measure the mean wind speed in each direction.
  3. Combine both measurements by multiplying the time with the cubic speed for each sector individually to get the distribution of energy across all directions, as the energy content per sector is Time x v³.

Wind Shear Profile

Wind speeds increase further off the ground, a microscale phenomenon called wind shear. How much the wind speeds increase with height depends not only on prevailing wind speeds at other heights, but also on the type of surface. Given a wind speed (v1) at one height (h1), the wind speed at another height (h2) can be calculated as follows: Formula for wind shear

where z0 is an index that describes the roughness of the surface. Values for the roughness index range from 0.01 for flat landscapes to 2.0 in town centres. Two important insights follow from this:

  • In rough areas, especially built-up areas, the height of the turbine hub is much more important than off-shore, as wind speed change slower along the distance from the surface.
  • If the wind speed at, say, 150m is 10m/s, a 70m turbine will produce less energy in an urban environment than over quiet sea
  • For large turbines, the difference between the wind speed experienced by blade tips at top and bottom vary much more in rough areas - forces that cause additional wear and tear.

Long-term Fluctuations

The annual energy yield from wind can also vary from year to year, caused by many variations in solar intensity and other large-scale effects. Empirical evidence shows that annual variations in wind are much more pronounced than in solar irradiance and can vary as much as 30% from year to year.

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