PhD Thesis by Yu-Hsuan Juan

Page 42

Chapter 2

28

In the downstream passage, the reverse trend is observed. Increasing w increases PD/PDref. The highest PD/PDref occurs for the widest upstream passage and near the passage entrance. The maximum PD/PDref in downstream passage shows an increase of 207% from the narrowest passage (w = 0.15B) to the widest one (w = 0.75B). Note that similar trends as presented for z/H = 0.97 in Fig. 2.10 for both the upstream and downstream passages are observed at lower elevations namely z/H = 0.9, 0.8, 0.7, as shown in Table 2.4. -

Figure 2.10. Profiles of the dimensionless power density along horizontal line at z/H = 0.97 for different passage widths w between upstream buildings. Table 2.4. Compariosion of dimensionless maximum power density along the centerline at heights z/H = 0.97, 0.9, 0.8 and 0.7 for different w/B.

w z/H = 0.97 z/H = 0.9 z/H = 0.8 z/H = 0.7

2.5.2

Max. PD/PDref in upstream passage 0.15B 0.3B 0.45B 0.6B 0.75B 2.01 1.62 1.30 1.00 0.81 2.21 1.66 1.24 0.91 0.70 1.89 1.51 1.06 0.73 0.54 1.66 1.33 0.89 0.58 0.41

Max. PD/PDref in downstream passage 0.15B 0.3B 0.45B 0.6B 0.75B 0.38 0.52 0.79 0.98 1.17 0.51 0.57 0.83 1.03 1.24 0.55 0.59 0.83 1.01 1.21 0.57 0.61 0.80 0.97 1.15

Impact of streamwise distance between upstream and downstream buildings (d)

The streamwise distance between upstream and downstream buildings is investigated for d varying from 3 m to 12 m, corresponding to d = 0.15B to 0.6B, respectively. Note that for all cases w = 0.75B and ΔH = 0.


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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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