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1000CDN<br />

3<br />

2<br />

1<br />

0<br />

10 20 30<br />

U(10 m) [m s−1 ]<br />

Figure 36: The neutral drag coefficient CDN as a function of mean wind speed at z = 10 m.<br />

The broad line is from Charnock’s relation Eqs. (64) and (62). The thin lines are empirical<br />

relations from Geernaert (1987) and the dotted line is from NDP (1998), see Eq. (73).<br />

30 m Eq. (62) is a good approximation to Eq. (63). Throughout this comparison we use<br />

f = 10 −4 s −1 .<br />

Charnock (1955) argued that over the sea the roughness length is related to g = 9.8 m s −2<br />

the acceleration due to gravity and the friction velocity by<br />

z0 = A u2 ∗<br />

g<br />

where A, the Charnockconstant,must be determinedexperimentally. On basis ofan extensive<br />

literaturestudyofoceandataGarratt (1977)foundthatthebestfitofEq.(64)isA = 0.0144.<br />

A slightly newer value is given by ESDU International (1982):<br />

(64)<br />

A = 0.0167, (65)<br />

which will be used here. Over the ocean the neutral drag coefficient<br />

2 u∗<br />

CDN =<br />

U(10 m)<br />

increases monotonicly with U as can be seen by solving Eqs. (64) and (62). This is shown<br />

in Figure 36 as a broad line together with several recent empirical relations. The figure gives<br />

a good impression of the uncertainty in estimates of drag coefficients. Among the various<br />

reasons for this variability are atmospheric stability, surface currents, ‘wave age’, length of<br />

the fetch over water, and water depth (Garratt, 1977; Geernaert, 1987; Brown and Swail,<br />

1991). The spectral density of velocity fluctuations is in general proportional to the drag<br />

coefficient so the uncertainty of the former is probably of the same order of the latter.<br />

3.5.1 Code and textbook spectra<br />

Surface layer scaling is used in many spectral models, implying that length scales are proportional<br />

to z and that variances are proportional to u2 ∗. Therefore, it is convenient to normalize<br />

the spectra with u2 ∗ and present them as functions of either n ≡ fz/U or k1z. All spectra in<br />

this paper are ‘two-sided’ implying −∞<br />

∞ S(f)df is equal to the variance2 .<br />

The spectra of Kaimal are (Kaimal et al., 1972; Kaimal and Finnigan, 1994)<br />

fSu(f)<br />

u 2 ∗<br />

= k1Fu(k1)<br />

u 2 ∗<br />

fSv(f)<br />

u 2 ∗<br />

=<br />

=<br />

52.5n<br />

(1+33n) 5/3,<br />

8.5n<br />

(1+9.5n) 5/3,<br />

<br />

2 ∞<br />

The so-called ‘one-sided’ spectra, where 0 S(f)df is equal to the variance, are probably more commonly<br />

used.<br />

62 <strong>DTU</strong> Wind Energy-E-Report-0029(EN)<br />

(66)<br />

(67)<br />

(68)

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