A Wake Prediction Model Based on Simplified Momentum Theorem
A technology of momentum theorem and forecasting model, applied in forecasting, data processing applications, instruments, etc., can solve the problems of reducing calculation amount, low calculation accuracy, large error, etc., and achieve the effect of improving prediction accuracy
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Embodiment 1
[0049] Example 1: Select as figure 1 For the control volume shown, the self-similar speed loss of the LES results at different tip speed ratios and different downwind distances is as follows figure 2 shown.
[0050] An application of a near-field wake prediction model based on the simplified momentum theorem, comprising the following steps:
[0051] Step 1: Determine the reference coordinate system, take the center of the wind rotor as the coordinate origin, the rotation axis of the wind rotor is the x-axis (parallel to the incoming flow direction), the radial direction (perpendicular to the incoming flow direction) is the y-axis, and the vertical direction is the z-axis ;
[0052] Step 2: According to the incoming wind speed, compare the curve of the thrust coefficient of the unit with the wind speed to obtain the thrust coefficient C of the unit under this working condition T ;
[0053]Step 3: Determine the value range of the downstream wake boundary coefficient J by an...
Embodiment 2
[0062] Embodiment 2: The near-field wake region range calculated by the model proposed by the present invention is verified by LES data, including the maximum velocity loss in the horizontal direction and the wake region velocity loss in the vertical direction, and the results are compared with the Jensen model and the Frandsen model comparison, including the following steps:
[0063] Step 1: Table 1 shows the specific parameters of the wind tunnel experimental data (case 1) and LES results (case 2-5), including the rotor diameter d 0 , hub height z h , wind speed U at hub height hub , thrust coefficient C T , surface roughness z 0 and the ambient turbulence intensity I 0 .
[0064] Step 2: Within the value range of J, take J=1 as an example for calculation. At this time, in cases 1-5, the wake expansion coefficients k are: 0.041, 0.108, 0.0977, 0.0645 and 0.0646, respectively.
[0065] Step 3: In order to obtain the upper limit position and the lower limit position of t...
Embodiment 3
[0069] Embodiment 3: This embodiment uses the wind tunnel experimental data (case 1) and LES data (case 2-5) to verify the wake model formula (13) based on the further correction of the wake range in the near field, including the maximum velocity loss in the horizontal direction and vertical velocity loss in the wake zone, and compare the results with the Jensen model and the Frandsen model, including the following steps:
[0070] Step 1: Repeat steps 1 and 2 in Example 2.
[0071] Step 2: Substituting all input parameters into formula (13), the velocity loss at any position in the wake area calculated by the revised model is obtained, and compared with the Jensen model and the Frandsen model, as shown in Figure 5 and Figure 6 shown.
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