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研究生： 蘇建國
William Sugianto
論文名稱： Investigating Cross Ventilation in A Vernacular House Under Varied Wind Condition Using 3D Ultrasonic Anemometer and CFD Simulation
Investigating Cross Ventilation in A Vernacular House Under Varied Wind Condition Using 3D Ultrasonic Anemometer and CFD Simulation
指導教授： 邱韻祥
Yun-Shang Chiou
口試委員: 江維華
鄭政利
Cheng-Lee Cheng
Dany Perwita Sari
學位類別： 碩士
Master
系所名稱： 設計學院 - 建築系
Department of Architecture
論文出版年： 2020
畢業學年度： 108
語文別： 英文
論文頁數： 151
中文關鍵詞： Wind 、Renewable energy 、Cross ventilation 、Window configuration 、Wind condition 、Vernacular House 、Passive cooling strategy
外文關鍵詞： Wind, Renewable energy, Cross ventilation, Window configuration, Wind condition, Vernacular House, Passive cooling strategy
相關次數： 點閱：248  下載：1 
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    • This study goal to observe and analyze wind-driven cross ventilation under varied wind
    conditions in a vernacular house, in order to find the best window configuration that can
    minimize the usage of active cooling that will increase energy consumption. As it is mentioned
    in several articles and data that the usage of active cooling during hot temperatures or summer
    time will increase. This problem demands a change in user behavior to alter the usage of
    renewable energy. Natural wind flow inside a house can be altered based on preferable indoor
    wind conditions by configuring window opening position and its aperture size. These methods
    are useful to draw natural wind also by knowing the characteristic of wind conditions at the
    site. The characteristics that were observed are wind speed and wind direction. These two
    aspects can be achieved by using an anemometer as an experimental study to analyze the
    condition of the wind in a certain area. As reference data, the results from anemometer
    experiments is simulated using CFD simulation to investigate wind pattern under certain wind
    condition and also based on several window opening configuration. Several studies show that
    opening configuration could generate a different result for indoor wind circulation. An example
    of the study stated that a perpendicular opening position will enhance the flow of the wind on
    that in line with the opening. Another instance is the corner position window opening will have
    better wind flow distribution through the indoor space. This literature study was used as a
    fundamental theory to find the best configuration for a selected vernacular house in Guanshan.
    This research has found that depends on the wind condition, window configuration methods
    are beneficial to control preferable indoor wind conditions.

    This study goal to observe and analyze wind-driven cross ventilation under varied wind
    conditions in a vernacular house, in order to find the best window configuration that can
    minimize the usage of active cooling that will increase energy consumption. As it is mentioned
    in several articles and data that the usage of active cooling during hot temperatures or summer
    time will increase. This problem demands a change in user behavior to alter the usage of
    renewable energy. Natural wind flow inside a house can be altered based on preferable indoor
    wind conditions by configuring window opening position and its aperture size. These methods
    are useful to draw natural wind also by knowing the characteristic of wind conditions at the
    site. The characteristics that were observed are wind speed and wind direction. These two
    aspects can be achieved by using an anemometer as an experimental study to analyze the
    condition of the wind in a certain area. As reference data, the results from anemometer
    experiments is simulated using CFD simulation to investigate wind pattern under certain wind
    condition and also based on several window opening configuration. Several studies show that
    opening configuration could generate a different result for indoor wind circulation. An example
    of the study stated that a perpendicular opening position will enhance the flow of the wind on
    that in line with the opening. Another instance is the corner position window opening will have
    better wind flow distribution through the indoor space. This literature study was used as a
    fundamental theory to find the best configuration for a selected vernacular house in Guanshan.
    This research has found that depends on the wind condition, window configuration methods
    are beneficial to control preferable indoor wind conditions.

    ABSTRACT i ACKNOWLEDGMENTS ii TABLE OF CONTENTS iii LIST OF TABLES v LIST OF TABLES v LIST OF FIGURES vi CHAPTER 1: INTRODUCTION 1 CHAPTER 2: LITERATURE REVIEW 3 2.1. Principle of Natural Ventilation System in a Building 3 2.2. Indoor Air Quality 3 2.3. Driving Forces of Natural Ventilationlamont t 4 2.4. Natural Ventilation Methods 4 2.4.1. Single-sided Ventilation 4 2.4.2. Cross Ventilation 5 2.5. Opening Configuration for Optimization Wind-Driven Cross-Ventilation 5 2.5.1. Opening position 6 2.5.2. Opening Aperture 8 CHAPTER 3: METHODOLOGY 9 3.1. Vernacular House Site 11 3.2. Anemometer Experiment Set-up 13 3.2.1. Fundamental Data for Reference 13 3.2.2. Final Anemometer Experiment 20 3.3. DesignBuilder Settings 26 3.3.1. Geometry Modeling 27 3.3.2. Model Options 30 3.3.3. General Settings 32 3.3.4. Window Aperture Setup 40 3.4. CFD Simulation 44 CHAPTER 4: RESULTS AND DISCUSSION 52 4.1. Reference Anemometer Experiment Result 52 4.2. Validation Process 56 4.2.1. Base 8 Indoor Anemometer Experiment (Afternoon Time (12-00-17.00)) - October 4, 2019 56 4.2.2. Base 8 Outdoor Anemometer Experiment (Afternoon Time (12-00-17.00)) - October 4, 2019 58 4.1. Base 8 – 4 Days Anemometer Experiment Result (November 7, 2019 – November 10, 2019) 59 4.1.1. Day-1 Experiment on Base 8 (Case 13 as Reference) 60 4.1.2. Day-2 Experiment on Base 8 (Case 9 as Reference) 63 4.1.3. Day-3 Experiment on Base 8 (Case 2 as Reference) 66 4.1.4. Day-4 Experiment on Base 8 (Case 4 as Reference) 69 4.2. Reference Experiment – CFD Simulation Result 72 4.3. Final Experiment – CFD Simulation Result 81 4.3.1. Day-1 CFD Simulation Result 81 4.3.2. Day-2 CFD Simulation Result 88 4.3.3. Day-3 CFD Simulation Result 94 4.3.4. Day-4 CFD Simulation Result 100 4.4. Simulation Result Discussion 110 CHAPTER 5: CONCLUSION 114 5.1. Conclusion 114 5.2. Future Study 114 LIST OF REFERENCES 115 APPENDIX 116

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