PhD Thesis by Yu-Hsuan Juan

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Urban wind energy potential: Impact of building arrangement and height This chapter is submitted to a peer-reviewed scientific journal:

CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height Juan, Y.H., Rezaeiha, A., Montazeri, H., Blocken, B., Wen, C.Y., Yang, A.S. Abstract: High-rise building complexes are of great importance for enabling sustainable urban development in large parts of the world. Earlier studies have indicated that high wind speed regions can be present along the passage between two high-rise buildings as well as above the roofs. At such locations, urban wind energy could be harvested by installing wind turbines between and/or above the roof of the buildings. However, the available wind energy potential around an array of generic high-rise buildings in close proximity has not yet been assessed for different building configurations. This paper conducts a detailed evaluation of the impacts of the building arrangement and height for a 2×2 array with a building height-to-street width ratio of 30 on the mean wind velocity and the wind energy potential along the passages between both upstream and downstream buildings as well as on their roofs. The following parameters are analyzed: (i) the passage width between the two upstream buildings (w), (ii) the streamwise distance between the upstream and downstream buildings (d), and (iii) the height difference between the upstream and downstream buildings (ΔH). The 3D steady Reynolds-averaged Navier-Stokes (RANS) equations are solved using the Reynolds stress model (RSM) turbulence model for closure. The CFD results are validated using wind-tunnel measurements of mean wind speed and turbulence intensity performed for the same building array. The results show elevated wind power density along the upstream passages for small w (= 0.15B), high d (= 0.6B), and equal building height (ΔH = 0). In contrast, comparatively high values of w, small d, and ΔH < 0 yield high wind power densities between the downstream buildings. Among the different wind turbine types considered, horizontally-mounted vertical axis wind turbines seem the most promising option for wind energy harvesting between the buildings. Keywords: Urban wind energy; wind resource assessment; urban planning; urban physics; urban morphology; building arrangement


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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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