Michael Graham - Wind Energy Handbook

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Wind Energy Handbook: краткое содержание, описание и аннотация

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Discover this fully updated and authoritative reference to wind energy technology written by leading academic and industry professionals  The newly revised Third Edition of the 
 delivers a fully updated treatment of key developments in wind technology since the publication of the book’s Second Edition in 2011. The criticality of wakes within wind farms is addressed by the addition of an entirely new chapter on wake effects, including ‘engineering’ wake models and wake control. Offshore, attention is focused for the first time on the design of floating support structures, and the new ‘PISA’ method for monopile geotechnical design is introduced. 
The coverage of blade design has been completely rewritten, with an expanded description of laminate fatigue properties and new sections on manufacturing methods, blade testing, leading-edge erosion and bend-twist coupling. These are complemented by new sections on blade add-ons and noise in the aerodynamics chapters, which now also include a description of the Leishman-Beddoes dynamic stall model and an extended introduction to Computational Fluid Dynamics analysis. 
The importance of the environmental impact of wind farms both on- and offshore is recognised by extended coverage, which encompasses the requirements of the Grid Codes to ensure wind energy plays its full role in the power system. The conceptual design chapter has been extended to include a number of novel concepts, including low induction rotors, multiple rotor structures, superconducting generators and magnetic gearboxes.
References and further reading resources are included throughout the book and have been updated to cover the latest literature. Importantly, the core subjects constituting the essential background to wind turbine and wind farm design are covered, as in previous editions. These include: 
The nature of the wind resource, including geographical variation, synoptic and diurnal variations and turbulence characteristics The aerodynamics of horizontal axis wind turbines, including the actuator disc concept, rotor disc theory, the vortex cylinder model of the actuator disc and the Blade-Element/Momentum theory Design loads for horizontal axis wind turbines, including the prescriptions of international standards Alternative machine architectures The design of key components Wind turbine controller design for fixed and variable speed machines The integration of wind farms into the electrical power system Wind farm design, siting constraints and the assessment of environmental impact Perfect for engineers and scientists learning about wind turbine technology, the 
 will also earn a place in the libraries of graduate students taking courses on wind turbines and wind energy, as well as industry professionals whose work requires a deep understanding of wind energy technology.

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Hence 371 Introducing the optimum conditions of Eq 367 372 - фото 263

Hence

(3.71) Introducing the optimum conditions of Eq 367 372 The parameter λμ is - фото 264

Introducing the optimum conditions of Eq. (3.67),

(3.72) The parameter λμ is the local speed ratio λr and is equal to the tip speed - фото 265

The parameter λμ is the local speed ratio λr and is equal to the tip speed ratio where μ = 1.

If, for a given design, C lis held constant, then Figure 3.17shows the blade plan‐form for increasing tip speed ratio. A high design tip speed ratio would require a long, slender blade (high aspect ratio) whilst a low design tip speed ratio would need a short, fat blade. The design tip speed ratio is that at which optimum performance is achieved. Operating a rotor at other than the design tip speed ratio gives a less than optimum performance even in ideal drag‐free conditions.

In off‐optimum operation, the axial inflow factor is not uniformly equal to 1/3; in fact, it is not uniform at all.

The local inflow angle ϕ at each blade station also varies along the blade span, as shown in Eq. (3.73)and Figure 3.18:

(3.73) Figure 317 Variation of blade geometry parameter with local speed ratio - фото 266

Figure 317 Variation of blade geometry parameter with local speed ratio - фото 267

Figure 3.17 Variation of blade geometry parameter with local speed ratio.

Figure 318 Variation of inflow angle with local speed ratio which for - фото 268

Figure 3.18 Variation of inflow angle with local speed ratio.

which, for optimum operation, is

(3.74) Close to the blade root the inflow angle is large which could cause the blade - фото 269

Close to the blade root the inflow angle is large, which could cause the blade to stall in that region. If the lift coefficient is to be held constant such that drag is minimised everywhere, then the angle of attack α also needs to be uniform at the appropriate value. For a prescribed angle of attack variation, the design pitch angle β = ϕα of the blade must vary accordingly.

As an example, suppose that the blade aerofoil is National Advisory Committee for Aeronautics (NACA) 4412, popular for hand‐built wind turbines because the bottom (high‐pressure) side of the profile is almost flat, which facilitates manufacture. At a Reynolds number of about 5 ⋅ 10 5 ,the maximum lift/drag ratio occurs at a lift coefficient of about 0.7 and an angle of attack of about 3°. Assuming that both C land α are to be held constant along each blade and there are to be three blades operating at a tip speed ratio of 6 ,then the blade design in pitch (twist) and plan‐form variation are shown in Figures 3.19aand b, respectively. This blade solidity becomes very large at the root but can be accommodated to around r/R = 0.1 depending on the location of the blade axis.

3.8.3 A simple blade design

The blade design of Figure 3.19is efficient but complex to build and therefore costly. Suppose the plan‐form was prescribed to have a uniform taper such that the outer part of the blade corresponds closely to Figure 3.19b. The straight line given by Eq. (3.75)and shown as the solid line in Figure 3.20has been derived to minimise the departure from the true curve [ Eq. (3.72))] in the outer region 0.7 < r / R < 0.9. This linear taper not only simplifies the plan‐form but removes a lot of material close to the root.

Figure 319 Optimum blade design for three blades and λ 6 a blade twist - фото 270

Figure 3.19 Optimum blade design for three blades and λ = 6: (a) blade twist distribution, and (b) blade plan‐form.

Figure 320 Uniform taper blade design for optimal operation The expression - фото 271

Figure 3.20 Uniform taper blade design for optimal operation.

The expression for this chord distribution approximation to the optimum plan‐form ( Figure 3.20) is

(3.75) The 08 in Eq 375refers to the 80 point approximating in this case the - фото 272

The 0.8 in Eq. (3.75)refers to the 80% point, approximating in this case the solid line between target points 0.7 and 0.9 by the tangent at 0.8, which is very close to it.

Equation (3.75)can then be combined with Eq. (3.72)to give the modified spanwise variation of C lfor optimal operation of the uniformly tapered blade ( Figure 3.21):

Close to the blade root the lift coefficient approaches the stalled condition - фото 273

Close to the blade root the lift coefficient approaches the stalled condition and drag is high, but the penalty is small because the adverse torque is small in that region.

Assuming that stall does not occur, for the aerofoil in question, which has a 4% camber (this approximates to a zero lift angle of attack of −4 o), the lift coefficient is given approximately by

Wind Energy Handbook - изображение 274

where α is in degrees and 0.1 is a good approximation to the gradient of the C lvs α ofor most aerofoils, so Wind Energy Handbook - изображение 275 .

The blade twist distribution can now be determined from Eqs. (3.74)and (3.45)and is shown in Figure 3.22.

Figure 321 Spanwise distribution of the lift coefficient required for the - фото 276

Figure 3.21 Spanwise distribution of the lift coefficient required for the linear taper blade.

Figure 322 Spanwise distribution of the twist in degrees required for the - фото 277

Figure 3.22 Spanwise distribution of the twist in degrees required for the linear taper blade.

The twist angle close to the root is still high but lower than for the constant C lblade.

3.8.4 Effects of drag on optimal blade design

If, despite the views of Wilson et al. (1974) – see Section 3.5.3, the effects of drag are included in the determination of the flow induction factors, we must return to Eq. (3.48)and follow the same procedure as described for the drag‐free case.

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