PhD Thesis by Yu-Hsuan Juan

Page 80

Chapter 4

66 Cs ɛ H H/W Iref k ks PD PDref RANS RSM TI TI TIref u u U(z)ABL u*ABL Uref uref v V Vref w W x, y, z y* z0

4.1

Roughness constant Turbulent dissipation rate Building height Building-height-to-street-width ratio Reference turbulence intensity Turbulent kinetic energy Sand-grain roughness height Power density Reference power density Reynolds-averaged Naiver-Stokes Reynolds stress model Turbulence intensity Incident vertical profiles of turbulence intensity Reference turbulence intensity at reference height H Streamwise mean velocity component Incident vertical profiles of streamwise mean velocity component Mean inlet velocity of atmospheric boundary layer ABL friction velocity Reference wind speed Reference streamwise mean velocity component Cross-stream velocity Velocity magnitude Reference velocity magnitude Spanwise velocity Gap width between buildings Coordinates y plus Aerodynamic roughness length

Introduction

Urban wind energy presents lots of interest through turbine installation in the urban environment, which can solve the transportation difficulties of electric transmission lines from the wind farms in remote locations to cities [4, 130]. However, the challenges are also caused by complicated interactions of turbulent wind flows and eddies with urban forms and structures [47, 131]. The urban morphology is usually directly related to the characteristics of urban environments, including the urban density and urban arrangement, and the geometry of buildings. Consequently, to maximize the urban wind energy potential for facilitating sustainable urban areas at the neighborhood and city scales, it is crucial to comprehend the detailed airflow patterns and turbulence characteristics around buildings in the urban configuration. Different flow regimes over street canyons determine the amounts of power density and turbulence intensity around high-rise buildings in urban areas, which are the essential parameters in estimating wind energy potential. Much attention has been devoted to investigating the relationship between the urban form and sustainability, pinpointing the implications of the shape and density of cities for future progression. Strong arguments from many studies suggest the compact city as the most sustainable urban form [132]. Urban density determines the compactness among buildings. It can be correlated with two indexes as (1) the urban plan area density (λp) (i.e., the ratio between the plan area of buildings viewed from above and the total floor area) and (2) frontal area density (λf) (i.e., the ratio of the frontal area of buildings to the total floor area). The building area and frontal


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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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