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 efficiency 、HVAC 、Interior Lighting 、thermal 、daylight |
外文關鍵詞: | energy efficiency, HVAC, Interior Lighting, thermal, daylight |
相關次數: | 點閱:238 下載:0 |
分享至: |
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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.
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