PhD Thesis by Yu-Hsuan Juan

Page 83

Urban wind energy potential: Impacts of urban density and layout

69

Figure 4.1. Photos of high-rise buildings in close proximity in the Kowloon City District, Hong Kong (photographed by Po-Ki Li).

This paper is systematized as follows: The predictions are compared with wind tunnel measurements for the CFD validation study, as illustrated in Section 4.2. Section 4.3 describes the CFD simulation details, consisting of all case scenarios, the computational domain, grid, settings, and grid-sensitivity analysis. In Section 4.4, the CFD simulations present the results of four impacts: (i) the urban density, (ii) the building corner shape, (iii) urban layout, and (iv) the wind direction on the evaluation of wind power potential. The limitations in the current study are discussed in Section 4.5. Section 4.6 summarizes the main conclusions obtained.

4.2

CFD validation study

The wind tunnel experiments are performed using an open-circuit atmospheric boundary layer wind tunnel of Eindhoven University of Technology (TU/e). The cross-section of the wind tunnel is 0.5 m × 0.65 m with 13 m long. A set of floor roughness elements is located 0.65 m ahead of the test section to reproduce the atmospheric boundary layer. The test model consists of four square cuboids placed as a 2×2 building array with a straight crossing street-canyon width of 0.028 m. The dimensions of the square cuboid model are 0.031 m  0.031 m  0.14 m, resulting in a blockage ratio of 3% in the wind tunnel with a scale of 1:643. The turbulent flow instrumentation (TFI) Cobra probe is utilized to measure the 3-component flow velocities and turbulence intensities [82]. Fig. 4.2a shows the locations of monitoring points on the lateral view of 6 profiles along the vertical centerlines (y/B = 0) at 6 positions (x/B = -2.9, -1.94, -0.97, 0, 0.97 and 1.94). The dimensionless incident vertical profiles (Fig. 4.2b) of time-averaged streamwise velocity (u/uref) and total turbulence intensity (TI/TIref) are measured from the empty wind tunnel, which are readily employed in CFD validation. The values of uref and TIref are 13.4 m/s and 8% at the building height.


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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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