The Wind Resource

2.1 The Nature of the Wind

The energy available in the wind varies as the cube of the wind speed, so an understanding of the characteristics of the wind resource is critical to all aspects of wind energy exploitation, from the identification of suitable sites and predictions of the economic viability of wind farm projects through to the design of wind turbines themselves, and understanding their effect on electricity distribution networks and consumers.

From the point of view of wind energy, the most striking characteristic of the wind resource is its variability. The wind is highly variable, both geographically and temporally. Furthermore this variability persists over a very wide range of scales, both in space and time. The importance of this is amplified by the cubic relationship to available energy.

On a large scale, spatial variability describes the fact that there are many different climatic regions in the world, some much windier than others. These regions are largely dictated by the latitude, which affects the amount of insolation. Within any one climatic region, there is a great deal of variation on a smaller scale, largely dictated by physical geography - the proportion of land and sea, the size of land masses, and the presence of mountains or plains for example. The type of vegetation may also have a significant influence through its effects on the absorption or reflection of solar radiation, affecting surface temperatures, and on humidity.

More locally, the topography has a major effect on the wind climate. More wind is experienced on the tops of hills and mountains than in the lee of high ground or in sheltered valleys, for instance. More locally still, wind velocities are significantly reduced by obstacles such as trees or buildings.

At a given location, temporal variability on a large scale means that the amount of wind may vary from one year to the next, with even larger scale variations over periods of decades or more. These long-term variations are not well understood, and may make it difficult to make accurate predictions of the economic viability of particular wind-farm projects, for instance.

On time-scales shorter than a year, seasonal variations are much more predictable, although there are large variations on shorter time-scales still, which although reasonably well understood, are often not very predictable more than a few days ahead. These 'synoptic' variations are associated with the passage of weather systems. Depending on location, there may also be considerable variations with the

Frequency, log f

Figure 2.1 Wind Spectrum Farm Brookhaven Based on Work by van der Hoven (1957)

Frequency, log f

Figure 2.1 Wind Spectrum Farm Brookhaven Based on Work by van der Hoven (1957)

time of day (diurnal variations) which again are usually fairly predictable. On these time-scales, the predictability of the wind is important for integrating large amounts of wind power into the electricity network, to allow the other generating plant supplying the network to be organized appropriately.

On still shorter time-scales of minutes down to seconds or less, wind-speed variations known as turbulence can have a very significant effect on the design and performance of the individual wind turbines, as well as on the quality of power delivered to the network and its effect on consumers.

Van der Hoven (1957) constructed a wind-speed spectrum from long- and short-term records at Brookhaven, New York, showing clear peaks corresponding to the synoptic, diurnal and turbulent effects referred to above (Figure 2.1). Of particular interest is the so-called 'spectral gap' occurring between the diurnal and turbulent peaks, showing that the synoptic and diurnal variations can be treated as quite distinct from the higher-frequency fluctuations of turbulence. There is very little energy in the spectrum in the region between 2 h and 10 min.

2.2 Geographical Variation in the Wind Resource

Ultimately the winds are driven almost entirely by the sun's energy, causing differential surface heating. The heating is most intense on land masses closer to the equator, and obviously the greatest heating occurs in the daytime, which means that the region of greatest heating moves around the earth's surface as it spins on its axis. Warm air rises and circulates in the atmosphere to sink back to the surface in cooler areas. The resulting large-scale motion of the air is strongly influenced by coriolis forces due to the earth's rotation. The result is a large-scale global circulation pattern. Certain identifiable features of this such as the trade winds and the 'roaring forties' are well known.

The non-uniformity of the earth's surface, with its pattern of land masses and oceans, ensures that this global circulation pattern is disturbed by smaller-scale variations on continental scales. These variations interact in a highly complex and nonlinear fashion to produce a somewhat chaotic result, which is at the root of the day-to-day unpredictability of the weather in particular locations. Clearly though, underlying tendencies remain which lead to clear climatic differences between regions. These differences are tempered by more local topographical and thermal effects.

Hills and mountains result in local regions of increased wind speed. This is partly a result of altitude - the earth's boundary layer means that wind speed generally increases with height above ground, and hill tops and mountain peaks may 'project' into the higher wind-speed layers. It is also partly a result of the acceleration of the wind flow over and around hills and mountains, and funnelling through passes or along valleys aligned with the flow. Equally, topography may produce areas of reduced wind speed, such as sheltered valleys, areas in the lee of a mountain ridge or where the flow patterns result in stagnation points.

Thermal effects may also result in considerable local variations. Coastal regions are often windy because of differential heating between land and sea. While the sea is warmer than the land, a local circulation develops in which surface air flows from the land to the sea, with warm air rising over the sea and cool air sinking over the land. When the land is warmer the pattern reverses. The land will heat up and cool down more rapidly than the sea surface, and so this pattern of land and sea breezes tends to reverse over a 24 h cycle. These effects were important in the early development of wind power in California, where an ocean current brings cold water to the coast, not far from desert areas which heat up strongly by day. An intervening mountain range funnels the resulting air flow through its passes, generating locally very strong and reliable winds (which are well correlated with peaks in the local electricity demand caused by air-conditioning loads).

Thermal effects may also be caused by differences in altitude. Thus cold air from high mountains can sink down to the plains below, causing quite strong and highly stratified 'downslope' winds.

The brief general descriptions of wind speed variations in Sections 2.1 to 2.5 are illustrative, and more detailed information can be found in standard meteorological texts. Section 9.1.3 describes how the wind regimes at candidate sites can be assessed, while wind forecasting is covered in Section 2.9.

Section 2.6 presents a more detailed description of the high-frequency wind fluctuations known as turbulence, which are crucial to the design and operation of wind turbines and have a major influence on wind turbine loads. Extreme winds are also important for the survival of wind turbines, and these are described in Section 2.8.

2.3 Long-term Wind speed Variations

There is evidence that the wind speed at any particular location may be subject to very slow long-term variations. Although the availability of accurate historical records is a limitation, careful analysis by, for example, Palutikoff, Guo and Halliday (1991) has demonstrated clear trends. Clearly these may be linked to long-term temperature variations for which there is ample historical evidence. There is also much debate at present about the likely effects of global warming, caused by human activity, on climate, and this will undoubtedly affect wind climates in the coming decades.

Apart from these long-term trends there may be considerable changes in windi-ness at a given location from one year to the next. These changes have many causes. They may be coupled to global climate phenomema such as el niño, changes in atmospheric particulates resulting from volcanic eruptions, and sunspot activity, to name a few. These changes add significantly to the uncertainty in predicting the energy output of a wind farm at a particular location during its projected lifetime.

2.4 Annual and Seasonal Variations

While year-to-year variation in annual mean wind speeds remains hard to predict, wind speed variations during the year can be well characterized in terms of a probability distribution. The Weibull distribution has been found to give a good representation of the variation in hourly mean wind speed over a year at many typical sites. This distribution takes the form

where F(U) is the fraction of time for which the hourly mean wind speed exceeds U. It is characterized by two parameters, a 'scale parameter' c and a 'shape parameter' k which describes the variability about the mean. c is related to the annual mean wind speed U by the relationship

where r is the complete gamma function. This can be derived by consideration of the probability density function mn d F(U) Uk-1 I f (U) = = k— eXp

since the mean wind speed is given by

A special case of the Weibull distribution is the Rayleigh distribution, with k = 2, which is actually a fairly typical value for many locations. In this case, the factor

Renewable Energy Eco Friendly

Renewable Energy Eco Friendly

Renewable energy is energy that is generated from sunlight, rain, tides, geothermal heat and wind. These sources are naturally and constantly replenished, which is why they are deemed as renewable.

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