PhD Thesis by Yu-Hsuan Juan

Page 52

38

Chapter 2

(1)

The analysis is focused on an isolated array of buildings and the impact of surrounding buildings in urban settings is not considered in the present study. Future investigations should focus on the assessment of wind energy potential in generic and real urban configurations. A full calculation of the wind power density should consider the statistics of the annual speed and wind direction distribution and the fact that the turbines will only operate within a certain range of wind speeds, between the so-called cut-in and cut-off wind speed. The varied wind conditions should be taken into account to facilitate the selection of the most appropriate small wind turbines for the utilization of urban wind power. Furthermore, the impact of the turbulence intensity, which influences the lifetime of the turbines is not considered in the present analysis and is recommended for future study. In this study, the simulations are performed for buildings with smooth and simple facades. Earlier studies have shown that façade geometrical details such as building balconies can significantly influence the near-building airflow patterns [104-107]. Future work will take into account the impact of façade geometrical details on the available wind energy potential around buildings.

(2)

(3)

2.7

Conclusions

High-fidelity CFD simulations are performed to investigate the effect of the building arrangement and height for a 2×2 array of high-rise buildings in close proximity. The following parameters are studied: (i) the passage width between the two upstream buildings (w), (ii) the streamwise distance between the upstream and the downstream buildings (d), (iii) the height difference between the upstream and the downstream buildings (ΔH) and (iv) the type/orientation of the wind turbine for wind energy harvesting. The analysis focuses on the wind speed and the wind power density along the upstream and the downstream building passages as well as on the building roofs. 

The main conclusions are summarized below: A wider passage width of the upstream passage (higher w) leads to a decrease in the wind speed in this passage. A maximum reduction in PD/PDref of 60% is observed in the upstream passage at z/H = 0.97 when w increases from 0.15B to 0.75B. Conversely, increasing w from 0.15B to 0.75B, results in a notable increase of 207% in PD/PDref in the downstream passage at z/H = 0.97. The longest d of 0.6B achieves an increase in the maximum power density up to 65% compared with that for d = 0.15B in the upstream passage at z/H = 0.97. Increasing d only leads to minor reductions in PD with the differences less than 11% in the downstream passage at z/H = 0.97. For ΔH ≥ 0, the flow in the upstream passage at z/Hu = 0.97 and over the upstream rooftop is highly accelerated to PD/PDref of 2.0. The reference case with equal building height, ΔH = 0, presents the highest wind power density of 2.0 in the upstream passage. For ΔH < 0, the flow in the downstream passage at z/Hd = 0.97 and over the downstream rooftop is accelerated to PD/PDref of 1.7. The case with ΔH = -0.2H provides the maximum PD/PDref of 1.8, that is nearly 364% higher than the reference case (ΔH = 0). The power densities calculated for a horizontally-mounted VAWT are higher than those of a HAWT and a typical VAWT by approximately 11% – 37% at z/Hd = 0.97 for the normal wind direction of 0°. This proposes significant contribution of the vertical velocity component, concluding that the horizontally-mounted VAWT is the best option for wind energy harvesting in the passage between the buildings as well as along the rooftop.


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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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