PhD Thesis by Yu-Hsuan Juan

Page 73

Urban wind energy potential: Impacts of building corner modifications Case R4

3.5.4

0.20B

39%

0%

59 22%

Impact of wind turbine type and orientation

The wind power density is typically calculated using only the streamwise velocity component, which is the relevant velocity for the typical HAWTs [103]. Note that the results presented in Secs. 3.5.1-3.5.3 pertain to such a HAWT. However, many studies reported that VAWTs are more suitable for energy harvesting in the urban environment than HAWTs due to their omni-directionality, lower noise production, higher space efficiency and lower installation and maintenance costs [19-21, 129]. Therefore, in this study, the potential for two types of VAWTs is investigated: (i) VAWT; and (ii) H-VAWT, where the latter refers to a VAWT mounted such that its axis is horizontal. The associated wind power densities (PD) are, therefore, calculated based on the velocities for each type of turbine in Fig. 3.13 as follows: a) b) c)

PDH for HAWTs: Only the streamwise velocity component (U) is used to calculate PD. PDVV for VAWTs: The vector sum of the streamwise and lateral velocity (V) components is used to calculate PD. PDVH for H-VAWTs: The vector sum of the streamwise and vertical velocity (W) components is used to calculate PD.

Figure 3.13. Three different wind turbine type/orientation for wind energy harvesting in the building passage.

Figure 3.14 presents the profiles of the dimensionless power density (a) along the passage at y/B = 0 (midplane) and z/H = 0.93, (b) just above the roof at y/B = 0.5 and z/H = 1.03 and (c) beside the buildings at y/B = 1.1 and z/H = 0.93 for the three types of wind turbines. In line with the observations discussed in Section 3.5.1, Fig. 3.14 also shows that the PD for the chamfered and the rounded corner shapes are substantially higher than those of the sharp corner along the three lines. Therefore, the discussion on the different turbine types is focused on the chamfered and the rounded corner shapes due to their comparatively high PD.


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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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