PhD Thesis by Yu-Hsuan Juan

Page 88

Chapter 4

74

Table 4.1. Details of involved urban morphology parameters for CFD simulation cases. Case name

Street

H/W

Urban area

Frontal

Urban

Corner

Wind

area

layout

shape

direction

canyon

plan

width,

density

density

W/B A1

0.15

30

0.76

3.40

In-line

A2

0.3

15

0.59

2.66

In-line

Sharp Sharp

In-line

Sharp

In-line

Sharp

In-line

Sharp

In-line

Sharp

In-line

Rounded

In-line

Rounded

In-line

Rounded

In-line

Rounded

In-line

Rounded

0° 0°

A3 A4 A5 A6 B1 B2 B3 B4 B5

0.45 0.75 1 2.25 0.15 0.3 0.45 0.75 1

10 6 4.5 2 30 15 10 6 4.5

0.48 0.33 0.25 0.09 0.76 0.59 0.48 0.33 0.25

2.14 1.47 1.13 0.43 3.40 2.66 2.14 1.47 1.13

B6

2.25

2

0.09

0.43

In-line

Rounded

C1

0.5

9

0.4

2

Staggered

C2

1

4.5

0.25

1.13

Staggered

Sharp Sharp

C3

0.5

9

0.4

2

Staggered

Rounded

C4

1

4.5

0.25

1.13

Staggered

Rounded

D1

0.15

30

0.76

3.40

In-line

D2

0.3

15

0.59

2.66

In-line

Sharp Sharp

45° 45°

D3

0.45

10

0.48

2.14

In-line

Sharp

45°

In-line

Sharp

45°

In-line

Sharp

45°

In-line

Sharp

45°

In-line

Rounded

45°

In-line

Rounded

45°

In-line

Rounded

45°

In-line

Rounded

45°

In-line

Rounded

45°

In-line

Rounded

45°

D4 D5 D6 D7 D8 D9 D10 D11 D12

4.3.2

0.75 1 2.25 0.15 0.3 0.45 0.75 1 2.25

6 4.5 2 30 15 10 6 4.5 2

0.33 0.25 0.09 0.76 0.59 0.48 0.33 0.25 0.09

1.47 1.13 0.43 3.40 2.66 2.14 1.47 1.13 0.43

Computational domain and grid

The extent of the computational domain from the building array border to the top, lateral, inlet, and outlet boundaries of the computational domain covers 4H, 4H, 4H, and 15H, respectively, following the requirements of the CFD best-practice guidelines [86, 99]. The details of the high-resolution and high-quality computational mesh for Case A4 are depicted in Fig.4.6, with the magnification of grids near the roof and ground. The minimum cell volume in canyons is 5.5×10-3 m3 in the streamwise, lateral and vertical directions. The grid size is enlarged from the border of high-rise building arrays to the boundaries of the computational domain with an expansion ratio below 1.1. This study arranges the distances from the center points of near-wall cells to the building and ground surfaces below 0.3 m (i.e., the y+ values ranging from 30 and 500) to ensure effective implementation of the standard wall functions in CFD computations. The total


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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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