Parametric analysis of BIM-based building energy performance for supporting multi-objective optimization

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2022-5-11

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Can, Esra

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Building energy efficiency comes into prominence as buildings constitute a significant portion of world energy consumption and CO2 emissions. To achieve energy-efficient buildings, energy performance assessments should be conducted meticulously, yet it is difficult to comprehensively estimate the buildings’ energy consumption since energy performance assessments are complex multi-criteria problems that are affected by many factors such as building orientation, envelope design, climatic conditions, daylight levels, and HVAC system usage. Building Information Modeling (BIM) is frequently used in building energy analysis, as in many areas of the construction industry. BIM has the ability to both predict energy performance and provide the data needed to optimize the energy usage of buildings through changing design parameters that affect energy use. This study aims to analyze parameters that are affecting energy performance of a multi-storey residential building through BIM-based energy performance calculation, thus meeting the demand in literature for a comprehensive evaluation of majority of parameters comparatively. In this study, energy analysis is performed for each factor affecting building energy performance by keeping all other parameters constant, and then an evaluation of these parameters that will support optimization of the building energy performance is carried out. As a result, an understanding of the parameters that have the most significant impact on the energy performance of the building is achieved by using sensitivity analysis. Based on this analysis, it has been identified that the roof and wall insulation material thicknesses, building shape, and window material are the most effective parameters, respectively.

Subject Keywords

Building Energy Performance, Building Information Modeling, Energy Analysis, Energy Optimization, BIM

URI

https://hdl.handle.net/11511/97400

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

E. Can, “Parametric analysis of BIM-based building energy performance for supporting multi-objective optimization,” M.S. - Master of Science, Middle East Technical University, 2022.