PhD Thesis by Yu-Hsuan Juan

Page 151

References [1] NASA. 2020 Tied for Warmest Year on Record, NASA Analysis Shows. NASA News & Feature Releases2021. [2] Redl C, Hein F, Buck M, Graichen P, Jones D. The European Power Sector in 2020: Up-toDate Analysis on the Electricity Transition: Agora Energiewende and Ember; 2021. [3] Zabarjad Shiraz M, Dilimulati A, Paraschivoiu M. Wind power potential assessment of roof mounted wind turbines in cities. Sustainable Cities and Society. 2020;53:101905. [4] Rezaeiha A, Montazeri H, Blocken B. A framework for preliminary large-scale urban wind energy potential assessment: Roof-mounted wind turbines. Energy Conversion and Management. 2020;214:112770. [5] Anup KC, Whale J, Urmee T. Urban wind conditions and small wind turbines in the built environment: A review. Renewable Energy. 2019;131:268-83. [6] Weerasuriya AU, Hu ZZ, Zhang XL, Tse KT, Li S, Chan PW. New inflow boundary conditions for modeling twisted wind profiles in CFD simulation for evaluating the pedestrian-level wind field near an isolated building. Building and Environment. 2018;132:303-18. [7] Wang B, Cot LD, Adolphe L, Geoffroy S, Sun S. Cross indicator analysis between wind energy potential and urban morphology. Renewable Energy. 2017;113:989-1006. [8] Toja-Silva F, Colmenar-Santos A, Castro-Gil M. Urban wind energy exploitation systems: Behaviour under multidirectional flow conditions—Opportunities and challenges. Renewable and Sustainable Energy Reviews. 2013;24:364-78. [9] Walker SL. Building mounted wind turbines and their suitability for the urban scale—A review of methods of estimating urban wind resource. Energy and Buildings. 2011;43:1852-62. [10] van Wijk BM. Predicting the Rooftop Wind Climate for Urban Wind Energy in the Rotterdam - Delft - Zoetermeer Region: TU Delft & TU Eindhoven; 2011. [11] Balduzzi F, Bianchini A, Carnevale EA, Ferrari L, Magnani S. Feasibility analysis of a Darrieus vertical-axis wind turbine installation in the rooftop of a building. Applied Energy. 2012;97:921-9. [12] Mithraratne N. Roof-top wind turbines for microgeneration in urban houses in New Zealand. Energy and Buildings. 2009;41:1013-8. [13] Van Craenenbroeck J. Boundary layer suction configurations with minimal pump requirements for multi-element airfoils. Delft, The Netherlands: TU Delft; 2015. [14] Blocken B, Moonen P, Stathopoulos T, Carmeliet J. Numerical Study on the Existence of the Venturi Effect in Passages between Perpendicular Buildings. Journal of Engineering Mechanics. 2008;134:1021-8. [15] Li B, Luo Z, Sandberg M, Liu J. Revisiting the ‘Venturi effect’ in passage ventilation between two non-parallel buildings. Building and Environment. 2015;94:714-22. [16] Blocken B, van Hooff T, Aanen L, Bronsema B. Computational analysis of the performance of a venturi-shaped roof for natural ventilation: Venturi-effect versus wind-blocking effect. Computers & Fluids. 2011;48:202-13. [17] Yang A-S, Su Y-M, Wen C-Y, Juan Y-H, Wang W-S, Cheng C-H. Estimation of wind power generation in dense urban area. Applied Energy. 2016;171:213-30.


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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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