Summary of Wind Data from Nuclear Power Plant Sites

Verholek, M.G.

doi:10.2172/1087585

Cited by 10 publications

(13 citation statements)

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“…Also, we still have to quantify the interaction in the surface layer between azimuth-dependency of major terrain features and the wind distribution shape. Follow-up studies would have to look for data of sufficient quality (see Section 1) from additional masts with heights in the range of 60 to 100 m, either from historical masts mentioned in reviews by Wallace (1967), Brook (1974) and Verholek (1977), or from still active mast projects.…”

Section: Discussionmentioning

confidence: 99%

“…For the 136 m mast at Millstone Point, near Brookhaven, an estimate of z, = 85 m was obtained from some data published by Verholek (1977), using methods discussed below.…”

Section: Selection Of Mastsmentioning

confidence: 99%

“…They summarized data from three of the masts mentioned above -Cape Kennedy, Wallops Island and NSSL Oklahoma -and a fourth 122 m mast at Hanford (47" N, 120" W), located in rather complex terrain (Verholek, 1977). Justus and Mikhail noticed the occurrence of maxima in the observed k-profiles and assumed their level to be 100 m for all these masts.…”

Section: Shape Evaluation Of Mast Wind Distributionsmentioning

confidence: 99%

“…Justus and Mikhail noticed the occurrence of maxima in the observed k-profiles and assumed their level to be 100 m for all these masts. They then fitted a k-ratio power law to all observations below 100 m, as follows: kz 1 k,,= 1 -0.088 ln[z/lO] (-1 + 0.11 ln[z/lO]) Doran and Verholek (1978) tried to validate this relation with data from more than 40 nuclear reactor masts (Verholek, 1977) by comparing k-values estimated with Justus and Mikhail's formula (kJM) with values observed at the same level (k,). They observed a *18% uncertainty and also noticed that kJM/kr showed a significant increase with increasing ku,-values.…”

Section: Shape Evaluation Of Mast Wind Distributionsmentioning

confidence: 99%

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Shapes of annual frequency distributions of wind speed observed on high meteorological masts

Wieringa

1989

Boundary-Layer Meteorol

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Annual wind distributions from six masts are used to investigate the annual variability of hourly-average wind. A variability extremum occurs at the height where the average diurnal cycle of wind reverses its phase from a nocturnal minimum to a nocturnal maximum. A simple profile model shows that in non-complex terrain, this reversal height varies approximately between 50 m at coasts and 90 m inland. The Weibull distribution shape factor k has a maximum at the reversal height, and with decreasing height, k decreases approximately as a linear function of height. Therefore estimation of wind distribution shape from surface data is possible in the surface layer. In the upper PBL, however, such estimation is not very feasible, because no simple methods are available to estimate the reversal height from routine surface observations.

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Section: Discussionmentioning

confidence: 99%

“…For the 136 m mast at Millstone Point, near Brookhaven, an estimate of z, = 85 m was obtained from some data published by Verholek (1977), using methods discussed below.…”

Section: Selection Of Mastsmentioning

confidence: 99%

Section: Shape Evaluation Of Mast Wind Distributionsmentioning

confidence: 99%

Section: Shape Evaluation Of Mast Wind Distributionsmentioning

confidence: 99%

See 2 more Smart Citations

Shapes of annual frequency distributions of wind speed observed on high meteorological masts

Wieringa

1989

Boundary-Layer Meteorol

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“…Wind climatology can also be obtained from utilities operating nuclear power plants. Verholek (1977) summarized wind data from over 100 nuclear sites at the locations shown in Figure A.2. The summaries include wind speed frequencies by direction, graphs of wind speed versus duration of speed, height and location of the wind sensor, the average wind speed, the available wind power, and descriptions of the site and the surrounding terrain.…”

Section: Salt Spray and Blowing Dustmentioning

confidence: 99%