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研究生: Billie Jaya Hartono
Billie Jaya Hartono
論文名稱: CORRELATION OF DESIGN BETWEEN HVAC AND INTERIOR LIGHTING ENERGY EFFICIENCY
CORRELATION OF DESIGN BETWEEN HVAC AND INTERIOR LIGHTING ENERGY EFFICIENCY
指導教授: 呂守陞
Sou-Sen Leu
口試委員: Hsin-Yun Lee
Hsin-Yun Lee
Jun-Yang Shi
Jun-Yang Shi
學位類別: 碩士
Master
系所名稱: 工程學院 - 營建工程系
Department of Civil and Construction Engineering
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 73
中文關鍵詞: energy efficiencyHVACInterior Lightingthermaldaylight
外文關鍵詞: energy efficiency, HVAC, Interior Lighting, thermal, daylight
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  • Most of the energy consumption in countries with a hot climate is for Cooling (Air Conditioner). Lighting also consumes much amount of energy besides many types of equipment inside. Due to that reason, this research will focus on calculating HVAC and Interior Lighting energy efficiency during the peak load for different object design. Then a study about the correlation of design between HVAC and Interior Lighting energy efficiency will be conducted. The reason why need to study the correlation is that maximizing daylight design by using large window areas and low shading coefficient could reduce interior lighting energy consumption, but they may also allow excessive heat gains, which could increase the air-conditioning cooling and energy consumption.
    Since this research purpose is to calculate HVAC and Interior Lighting energy efficiency so first, there are two simulations need to be run. For the first simulation (thermal simulation), regarding the green building rating system requirement of thermal comfort, this research did the simulation in the Autodesk CFD, which could get the average temperature inside the apartment. Based on thermal simulation output, we could calculate heat load inside then estimating the HVAC energy needed to cool down the temperature so the occupants inside the room could get thermal comfort condition.
    The second simulation (daylight simulation), regarding the green building rating system requirement of illuminance calculation, this research did the simulation in the Autodesk Ecotect Analysis 2011 with Radiance plug-in which can support LEED daylight calculation. Based on daylight simulation output, we could calculate the apartment area need additional support from artificial lighting if the light from natural lighting is not enough before estimating the lighting energy needed.


    Most of the energy consumption in countries with a hot climate is for Cooling (Air Conditioner). Lighting also consumes much amount of energy besides many types of equipment inside. Due to that reason, this research will focus on calculating HVAC and Interior Lighting energy efficiency during the peak load for different object design. Then a study about the correlation of design between HVAC and Interior Lighting energy efficiency will be conducted. The reason why need to study the correlation is that maximizing daylight design by using large window areas and low shading coefficient could reduce interior lighting energy consumption, but they may also allow excessive heat gains, which could increase the air-conditioning cooling and energy consumption.
    Since this research purpose is to calculate HVAC and Interior Lighting energy efficiency so first, there are two simulations need to be run. For the first simulation (thermal simulation), regarding the green building rating system requirement of thermal comfort, this research did the simulation in the Autodesk CFD, which could get the average temperature inside the apartment. Based on thermal simulation output, we could calculate heat load inside then estimating the HVAC energy needed to cool down the temperature so the occupants inside the room could get thermal comfort condition.
    The second simulation (daylight simulation), regarding the green building rating system requirement of illuminance calculation, this research did the simulation in the Autodesk Ecotect Analysis 2011 with Radiance plug-in which can support LEED daylight calculation. Based on daylight simulation output, we could calculate the apartment area need additional support from artificial lighting if the light from natural lighting is not enough before estimating the lighting energy needed.

    ACKNOWLEDGMENTS i ABSTRACT ii TABLE OF CONTENT iii LIST OF FIGURES v LIST OF TABLES viii CHAPTER 1 INTRODUCTION 1 1.1 Research Background 1 1.2 Research Scope, Motivations and Objectives, and Assumptions 3 1.2.1 Research Scope 3 1.2.2 Research Motivation and Objectives 4 1.2.3 Research Outline 4 CHAPTER 2 LITERATURE REVIEW 6 2.1 Previous Studies 6 2.2 Daylight Simulation 7 2.3 Thermal Simulation 9 2.4 Interior Lighting Design Requirement 11 2.5 HVAC Design Requirement 12 CHAPTER 3 RESEARCH METHODOLOGY 14 3.1 Design of Experiments 15 3.1.1 Taguchi Orthogonal Array 15 3.2 Simulation Software 16 3.2.1 Autodesk Ecotect Analysis (Daylight Simulation) 16 3.2.2 Autodesk CFD (Thermal Simulation) 18 3.2.3 Interior Lighting Energy Equation 20 3.2.4 HVAC Energy Equation 21 CHAPTER 4 MODELING AND PARAMETER 22 4.1 Simulation Model 22 4.1.1 Modeling Indoor Daylight Simulation 22 4.1.2 Modeling Thermal Simulation 26 4.2 Simulation Parameter 28 4.2.1 Indoor Daylight Simulation Parameter 30 4.2.2 Thermal Simulation Parameter 32 4.3 Calculation Parameter 34 CHAPTER 5 ANALYSIS AND RESULT 36 5.1 Energy Calculation 36 5.1.1 Interior Lighting Energy Calculation 36 5.1.2 HVAC Energy Calculation 39 5.2 Correlation of Design 52 CHAPTER 6 CONCLUSION AND FUTURE RESEARCH 58 6.1 Conclusion 58 6.2 Future Research 59 REFERENCES 60

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