In this study, both mechanical power and the wind speed distribution in the wake of a wind turbine scaled model were analyzed using a commercial CFD program (Ansys CFX) along with experimental validation. For the simulation, two different turbulence models including the SST model and the k-ε model were used. The scaled model was originally designed and manufactured by the researchers at the Technical University of Munich and was slightly modified for this research. To experimentally verify the CFD results, tests were performed with the scaled model under the turbulent wind in a wind tunnel. From the experimental validation, it was found that the k-ε turbulence model gives a better prediction than the SST model in the wake results. However, the SST turbulence model showed better prediction than the k-ε turbulence model in the power prediction. The discrepancy between the CFD results and the experimental validation is partially due to the fact that the blades are deformed at all times and control of pitch in the rated power region but these aspects are not considered in the simulation. If a transient analysis is performed using LES models, it will more accurately predict the change of wake with high turbulence intensity.
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Design and Performance Analysis for 3 MW Waste Pressure Steam Turbine Using 2D and 3D Numerical Simulation Hwabhin Kwon, Jong Yun Jung, Joon Seob Kim, Ye Lim Jung, Heesung Park Journal of the Korean Society for Precision Engineering.2021; 38(6): 455. CrossRef
In this study, blades manufactured by 3D printing technology were experimentally tested to be used for a scaled wind turbine in a wind tunnel. The scaled model was originally designed and manufactured by researchers at the Technical University of Munich. The model has been slightly modified to adopt the 3D printed blades for this study. Also, control algorithms for the power maximization in the low wind speed regions were constructed and applied to a commercial programmable logic controller for wind tunnel tests of the scaled model. For comparison, the scaled model was also modeled in MATLAB/Simulink and dynamic simulations were performed with the measured wind speed as an input. The simulation results seemed to overpredict the experimental results initially, but by considering the unexpected extra generator torque due to friction of the shaft, the errors were reduced to be less than 5%. Based on this study, the application of 3D printed blades to the wind turbine scaled models of a similar rotor diameter was found to be an efficient and effective way of blade manufacturing and scaled model testing.
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In this study, we analyzed wind torque from aerostatic force coefficients of radar structures according to the Reynolds number. The test was conducted in the KOCED Wind Tunnel Center at Chonbuk University, and the wind tunnel test model was at 1:8 scale. Wind speeds were in the range of 5-26 m/s to determine Reynolds number independence. Test results of the present radar system were not impacted by the Reynolds number. Maximum drag coefficient was 1.43 under an angle of attack of 0 degrees and angle of the vehicle was 135 degrees, while maximum positive pressure coefficient was 1.21 at the side of plane in angle of attack of 0 degrees. Maximum negative pressure coefficient was -2.06 at the corner front of the plane at an angle of attack of 90 degrees. To verify wind torque in the wind tunnel test, a drive system was designed and manufactured. A wind speed of 26 m/s, the maximum average operating wind speed condition, was applied to validate the radar was driven normally. Results of this study may be used as an evaluation method for wind speed tests of radar systems and large structures that cannot be used for wind tunnel tests.
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Structural Safety Analysis of Large Radar Structures with Elevation Drive Units Onemook Kim, Seonbin Lim, Daekeun Kim, Jong-Hak Lee, Heung-Tae Kim, Eun-Jeong Jang, Ki Yeon Song, No-Cheol Park Transactions of the Korean Society for Noise and Vibration Engineering.2024; 34(3): 339. CrossRef