The Building Dynamic Energy Use Intensity Index

• Main Authors: Tzu-ChingSu, 蘇梓靖
• Other Authors: Hsien-Te Lin
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/23686822499668577825

博士 === 國立成功大學 === 建築學系 === 102 === Energy conservation codes for buildings are extremely crucial because people pay an unprecedented level of attention to energy conservation and carbon reduction. To control building energy use efficiently, a building energy evaluation system and an energy use intensity (EUI) index that can accurately identify the hot spot of the energy conservation of a building are necessary. In this study, we initially focused on the problems encountered when building energy-use statistics and EUI indices have been used. These problems include contemporary buildings becoming increasingly complex and multipurpose compared with buildings constructed in the past; similar buildings are now composed of various space components, and operated with different schedules; and the rental rates and occupancies of similar buildings are indeterminate. Therefore, previous EUI indices have been inaccurate, unfair, and ineffective for determining the energy use characteristics of buildings that exhibit limitless space combinations. To modify such unfair situations, this study addressed that the EUI indices and every building's EUI should be compared under the same operation conditions and space components. Subsequently, we collated 37 basic areas and their standard operation conditions, including operational hours, occupancies, lighting power requirements, and electric appliance power densities, according to the space components and energy-use features of commercial buildings in Taiwan and established the EUI indices of these areas. This study proposes a dynamic EUI index calculation that does not define the EUI index according to building type but separates a building into 37 basic areas at most, and then combines the EUI indices of these basic areas into a unique EUI index according to the area proportions. Thereafter, this study used 4 normal buildings as examples, simulated their energy uses by using an energy simulation program, eQUEST, and calculated their dynamic EUI indices. The values of the dynamic EUI indices are almost close to the values of the simulated and statistical EUIs of the 4 buildings, respectively. Therefore, this study confirmed that the dynamic EUI index calculation method can be used for expressing the energy use variation of multiple building space components and is suitable for presenting the energy use conditions of buildings in Taiwan. This dynamic EUI index calculation method is superior to previous EUI index because of 2 features: First, an EUI index is calculated for each building by using its own space components; thus, it is customized and comparable. Second, using standard operation conditions eliminates the energy use difference derived from operations, thereby enabling the EUI difference between a building and its EUI index to directly represent the benefits of the energy conservation design of a building.