Wind Energy Handbook. Michael Barton Graham. Читать онлайн. Newlib. NEWLIB.NET

Автор: Michael Barton Graham
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Физика
Год издания: 0
isbn: 9781119451167
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either by pitching to promote stalling or pitching to feather, which reduces the lift force on the blades by reducing the angle of attack.

      3.14.2 Pitching to stall

      Figure 3.58 shows the power curves for a turbine rated at 60 kW, which is achieved at 12 m/s. At wind speeds below the rated level, the blade pitch angle is kept at zero degrees. As rated power is reached, only a small negative pitch angle, initially of about 2°, is necessary to promote stalling and so to limit the power to the rated level. As the wind speed increases, small adjustments in both the positive and negative directions are all that are needed to maintain constant power.

      The small size of the pitch angle adjustments make pitching to stall very attractive to designers, but the blades have the same damping and fatigue problems as fixed‐pitch turbines.

      3.14.3 Pitching to feather

Graph depicts the pitching to feather power regulation requires large changes of pitch angle.

      Because the blades remain unstalled if large gusts occur at wind speeds above the rated level, large changes of angle of attack will take place with associated large changes in lift. Gust loads on the blades can therefore be more severe than for stalled blades.

      The advantages of the pitching to feather method are that the flow around the blade remains attached, and so well understood, and provides good, positive damping. Feathered blade parking and assisted starting are also available.

      Pitching to feather has been the preferred pitch control option mainly because the blade loads can be predicted with more confidence than for stalled blades.

      The turbine considered in this section is stall regulated and is run at constant rotational speed. More detail about this method of operation will be discussed in the next section, but the main feature is that there is, theoretically, a unique power output for a given wind speed.

      The turbine has a diameter of 17 m and would be expected to produce rather more power than shown above if operated at a higher rotational speed.

      From the data in Figure 3.60, the CP ‐ λ curve can be derived. The tip speed of the blades is (44π)/30 rad/s × 8.5 m = 39.2 m/s, the swept area is 8.52.π = 227 m2, and the air density was measured (from air pressure and temperature readings) at 1.19 kg/m3.

Graph depicts the power versus wind speed curve from the binned measurements of a three blade stall-regulated turbine. Graphs depict the comparison of measured and theoretical performance curves.

      Therefore,

      (3.96)lamda equals StartFraction italic 39.2 Over italic windspeed EndFraction and upper C Subscript upper P Baseline equals StartFraction italic Power lamda cubed Over one half period italic 1.19 .39 period italic 2 cubed period italic 227 EndFraction

      This comparison looks reasonable and shows that the theory is reliable, but the quality of the theoretical predictions really relies upon the quality of the aerofoil data. The blade and aerofoil design are the same as given in Section 3.11.

Graph depicts the measured raw results of a three blade wind turbine.

      One last point should be made before classifying the theory as complete: it would be as well to look at the raw, one‐minute average data before it was reduced down by a binning process; this is shown in Figure 3.62. In the post‐stall region, there seems to be a much more complex process taking place than the simple theory predicts, and this could be caused by unsteady aerodynamic effects or a bistable separation condition.

      The quantity of energy that can be captured by a wind turbine depends upon the power vs wind speed characteristic of the turbine and the wind speed distribution at the turbine site.

      Wind speed distribution is discussed in Section 2.4. The distribution at a given site is described by a probability density function, Eq. (2.3), with parameters specified for the site.