A Height-Dependent Model of Eddy Viscosity in the Planetary Boundary Layer

Agee, Ernest M.; Brown, David E.; Chen, T. S.; Dowell, K. E.

doi:10.1175/1520-0450(1973)012<0409:ahdmoe>2.0.co;2

Cited by 11 publications

(3 citation statements)

References 8 publications

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“…Above this level, K decreases with height and remains non-zero to about z / h = l .4. The early efforts to develop analytical diffusivity formulas (O'Brien, 1970;Agee et al, 1973;Shir, 1973;Businger and Arya, 1974), based largely on empiricism, exhibit these qualitative features.…”

Section: Vertical Dispersion -The Eddy Diffusivitymentioning

confidence: 99%

Description and validation of ERAD: An atmospheric dispersion model for high explosive detonations

Boughton¹,

DeLaurentis²

1992

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Section: Vertical Dispersion -The Eddy Diffusivitymentioning

confidence: 99%

Description and validation of ERAD: An atmospheric dispersion model for high explosive detonations

Boughton¹,

DeLaurentis²

1992

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“…In equation 9, *, a specified parameter, is the height of the maxima in the coefficients. A similar technique is employed by Agee et al (1973) whose formulation is:…”

Section: List Of Symbolsmentioning

confidence: 99%

Numerical Experiments with an Air-Water

Walmsley¹

1973

Journal of the Meteorological Society of Japan

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A time-dependent model for coupled atmospheric and oceanic boundary layers is described. The model is one-dimensional; hence horizontal gradients of the dependent variables are specified rather than computed. Turbulent viscous and diffusive processes are incorporated by means of the eddy coefficient concept. Using a formulation which is in accord with both surface and Ekman layer observations, the vertical dependence of the eddy coefficient is specified a priori. Experiments with the model were performed with input conditions representative of the climatology of the Gulf of St. Lawrence in autumn and winter. Fairly reasonable profiles of wind, current, stress, temperature, humidity and salinity were obtained. The water surface temperature and the surface fluxes were also reasonably behaved functions of time. The exact date of freeze-up, however, was rather sensitive to the amount of oceanic cold advection determined from the specified oceanic temperature gradients and the calculated ocean current.

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“…indicates that the inertia forces is equals to the difference between viscous forces and the integration of the fluctuating pressure gradients of Wind. incompressible parallel flow, unsteady subjected fluctuation pressure gradients assumption has been made, in order to represent wind velocity and power changes, two flow conditions are considered: one represents laminar flows near cut in velocity and second represents turbulent flows near rated speed velocity.The dimensionless eddy viscosity (b = 1 + ɛm+) represents laminar flows for b = 1 and turbulent flows for b greater than 1, the value of dimensionless eddy viscosity (ɛm+ = ɛm /ν) are in the range of 0.2 * 10 5[8].…”

mentioning

confidence: 99%

Wind Turbine Performance under Fluctuating Pressure Gradient of Laminar and Turbulent Air Flows

Al-Hadidi¹,

Duwairi²

2019

EJEE

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This paper puts forward a novel model to evaluate the fluid velocity, power and efficiency of a wind turbine under the fluctuating pressure gradient of laminar and turbulent air flows. The operation parameters of a wind turbine were calculated based on the conservation of momentum, under different velocity profiles, fluctuating amplitudes and wave lengths, revealing the effects of fluctuating air pressure gradient on transient power output of the wind turbine. The effectiveness of the proposed model was verified through evaluation of output power, in comparison with a popular statistical tool. The results show that, whether the flow is laminar or turbulent, the pressure gradient has a positive impact on the output power; the enhancement effect is positively correlated with the fluctuation amplitude, and prominent within the early cycles of fluctuations; for turbulent flow, the more intense the flow, the better the output power.

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A Height-Dependent Model of Eddy Viscosity in the Planetary Boundary Layer

Cited by 11 publications

References 8 publications

Description and validation of ERAD: An atmospheric dispersion model for high explosive detonations

Description and validation of ERAD: An atmospheric dispersion model for high explosive detonations

Numerical Experiments with an Air-Water

Wind Turbine Performance under Fluctuating Pressure Gradient of Laminar and Turbulent Air Flows

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