비주거 건축물의 외피요소에 대한 민감도 분석
Sensitivity Analysis of Building Envelope of Non-Dwelling Buildings
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참고문헌
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초록
The ECO2 building energy simulation program is used on the assessment project for building energy certification of non-dwelling buildings in Korea. In the design of energy efficient buildings, it is beneficial to identify the most important design parameters in oder to more efficiently develop alternative design solutions or reach optimized design solutions. The sensitivity analyses will be used at a reasonable early stage of the building design process, where it is still possible to influence the most important design parameters. In this study, the sensitivity analysis is focused on building envelope parameters such as U-values, SHGC and Wall-window ration
Abstract
The ECO2 building energy simulation program is used on the assessment project for building energy certification of non-dwelling buildings in Korea. In the design of energy efficient buildings, it is beneficial to identify the most important design parameters in oder to more efficiently develop alternative design solutions or reach optimized design solutions. The sensitivity analyses will be used at a reasonable early stage of the building design process, where it is still possible to influence the most important design parameters. In this study, the sensitivity analysis is focused on building envelope parameters such as U-values, SHGC and Wall-window ration
참고문헌 (5)
- Joseph C.Lam, "Sensitivity analysis of energy performance of office buildings", Building and Environment, 31 (1996), Univ. of Hon Kong
- Per Heiseberg, "Application of sensitivity analysis in design of sustainable buildings", Renewable Energy (2009), Univ. of Alborg in Denmark
- Joseph C.Lam, "Sensitivity analysis and energy conservation measures implications", Energy Conversion and Management (2008), Univ. of HonKong
- Elie Azar, "A comprehensive analysis of the impact of accupancy parameters in energy simulation of offfice buildings", Energy and buildings (2012), Univ. of Wisconsin-Madison
- Min Liu, "Probabilistic prediction of green roof energy performance under parameter uncertainty", Catholic Univ. of America, Energy (2014)