PhD Thesis by Yu-Hsuan Juan

Page 85

Urban wind energy potential: Impacts of urban density and layout

71

the suitability of grid resolution. The CFD validation study utilizes the ANSYS/Fluent v19 to perform the 3D Reynolds-Averaged Navier-Stokes (RANS) simulations. As the most elaborate turbulence model provided by ANSYS/Fluent, the Reynolds stress model (RSM) turbulence model is selected based on a turbulence model sensitivity analysis presented in Section 4.2.1. In effect, RSM solves seven transport equations as turbulence closures to determine the individual components of the Reynolds stress tensor. The second-order discretization scheme is implemented in CFD calculations for the convection and diffusion terms of the governing equations. An iterative semi-implicit method for pressure-linked equations (SIMPLE) algorithm is used for the pressure-velocity coupling [90]. All the normalized residual errors of continuity, momentum, k, and ε equations are converged to 10−6 for attaining a steady solution.

Figure 4.3. Comparison of (a) time-averaged streamwise velocity component and (b) total turbulence intensity with wind-tunnel measured data along vertical lines at x/B= -2.9, -1.94, -0.97, 0, 0.97 and 1.94.

4.2.1

Turbulence model sensitivity analysis

The sensitivity analysis is performed to evaluate the prediction capabilities of the standard k-ε model (SKE) [91], the realizable k-ε model (RKE) [92], the renormalization group k-ε model (RNG) [93], the shear-stress transport k-ω model (SST) [94] and the RSM model [95]. Figure 4.3a presents a comparison of u/uref against the wind-tunnel measured data along the vertical


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References

29min
pages 151-164

Biography

1min
pages 165-166

4.5 Discussion

3min
pages 105-106

4.4.2 Impact of building corner shape

8min
pages 97-103

5.1 Introduction

13min
pages 112-116

5 Urban wind energy potential for a realistic high-rise urban area

1min
page 111

4.4.1 Impact of urban density

9min
pages 91-96

4.3.3 Computational settings

1min
page 89

4.3.2 Computational domain and grid

2min
page 88

4.2.1 Turbulence model sensitivity analysis

1min
page 85

4.2 CFD validation study

2min
pages 83-84

4 Urban wind energy potential: Impacts of urban density and layout

1min
page 79

3.5.5 Impact of wind direction

1min
page 76

4.1 Introduction

8min
pages 80-82

3.5.4 Impact of wind turbine type and orientation

3min
pages 73-75

3.5.3 Impact of corner radius

2min
pages 71-72

3 Urban wind energy potential: Impacts of building corner modifications

1min
page 53

3.5.2 Impact of chamfer length

2min
page 70

3.4.3 Grid-sensitivity analysis

1min
pages 62-63

2.7 Conclusions

3min
page 52

3.2.2 CFD validation: computational settings and results

3min
pages 58-59

3.3 Test cases

1min
page 60

2.6 Limitations of the study

1min
page 51

Discussion ...................................................................................................................................... 131

1min
page 20

buildings (d

12min
pages 42-50

Summary and Conclusions.......................................................................................................... 133

1min
page 21

Summary

2min
page 15

1.4 Thesis outline

3min
pages 23-24

2.2.2 CFD validation: computational domain and grid

1min
page 30

2.2.3 CFD validation: other computational settings

2min
pages 31-32

2 Urban wind energy potential: Impact of building arrangement and height

1min
page 25
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