CFD Dataset for Wake Characteristics and Power Performance of an Asymmetric Dual-Rotor Wind Turbine (A-DRWT)
Description
This dataset comprises the numerical simulation data supporting the findings of the study titled 'Enhanced Wake Recovery and Power Performance of an Asymmetric Dual-Rotor Wind Turbine: A Coupled Model and CFD Investigation'. The research investigates the aerodynamic performance and wake dynamics of a novel Asymmetric Coaxial Counter-Rotating Dual-Rotor Wind Turbine (A-DRWT) in comparison to a conventional Single-Rotor Wind Turbine (SRWT).
Files
Steps to reproduce
1. Geometry and Configuration Setup Create the 3D model of the Asymmetric Dual-Rotor Wind Turbine (A-DRWT) based on Figure 2. Create a geometrically scaled Single-Rotor Wind Turbine (SRWT) model for comparison. 2. Computational Domain and Mesh Generation Establish a computational domain of dimensions 15D×7D×5D(length × width × height). Position the turbine approximately 1D (A-DRWT) or 2D (SRWT) downstream from the inlet face, as shown in Figure 5(a). Use structured hexahedral cells for the main domain. Create disc-shaped rotating regions (diameter = 1.02D) around each rotor, meshed with unstructured tetrahedral cells. Implement local mesh refinement around the blades using a prism refinement box. Generate prism layers on all blade surfaces for accurate boundary layer resolution (Figure 5(b)). The final mesh count should be approximately 14.49 million cells for the SRWT and 18.28 million cells for the A-DRWT. 3. Solver Configuration and Boundary Conditions In ANSYS Fluent, select the pressure-based transient solver. Set the boundary conditions: Inlet: Uniform velocity inlet with U_0=6m/s, perpendicular to the rotor plane. Outlet: Pressure outlet. Walls: Ground as a symmetry plane; turbine surfaces as no-slip walls. Select the k−ωSST turbulence model. Set the fluid (air) as incompressible. Set a time step of Δt=0.001s. 4. Simulation Execution and Monitoring Initialize the solution and start the transient calculation. Monitor key parameters such as torque and rotational speed until they stabilize (approximately 90 seconds of simulation time, as indicated in Figure 6). 5. Data Extraction and Post-processing Extract data on cross-sectional planes (XY-plane) at various downstream distances (z/D=1,2,...,10). Calculate the non-dimensional velocity deficit ratio δ=(U∞−Uz)/U∞ Generate contour plots of δ for visualization (Figures 7, 8). Determine the wake width at each z/D location by identifying the region where δ≥5%. Plot the wake width versus downstream distance (Figures 9, 10). Extract vorticity data to visualize the vortex core structure, including tip vortices and root vortices (Figures 12, 13). Calculate Turbulence Intensity (TI) and Turbulence Kinetic Energy (TKE) distributions along the wake center line (Figure 14). From the final 50 seconds of stable data, calculate the power coefficient Cp for both turbines. Plot Cp over time (Figure 15). 6. Model Validation Compare the CFD-calculated velocity deficit and wake width for the SRWT against predictions from the Gaussian-distributed Jensen wake model described in Section 2.2 (Figure 9). For the A-DRWT validation, conduct two additional simulations: 1) UR rotating, DR stationary; 2) DR rotating, UR stationary. Compare the resulting wake velocity distributions (δ) against the predictions of the proposed Coupled-Dual Rotor (CDR) wake model (Sections 2.3, 5, and Figures 11, 17). Refine the CDR model if necessary based on the comparison.
Institutions
- Chengdu UniversitySichuan, Chengdu