Principal Component Analysis in Building Energy Efficiency Rating System for Apartment Housings

Abstract:

This study is aimed to establish the Carbon Emission Baseline for apartment housings. The carbon emissions at the operational stage were calculated through simulation based on the physical calculation. This method was chosen because it was necessary to estimate carbon emissions before the construction of the building. In fact, the energy consumption of buildings is more influenced by social statistics than by physical factors. This study used BEER and aggregated statistics of K-apt. system with a goal of estimating carbon emissions by buildings and establishing the carbon emission baseline. For this, the reliability of the related data which determine the energy consumption and carbon emissions of apartment housings were reviewed, and components were classified. Principle Component Analysis is used to determine the main components that are comprised of BEER indicators. The variable groups which are selected by PCA would be used in multivariate analysis.

• Periodical: Advanced Materials Research (Volumes 919-921)
• Pages: 1716-1720
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.919-921.1716
• Online since: April 2014
• Authors: Ho Gun Jung*, Min Cho Park, Sung Woo Shin
• Keywords: Building Energy Efficiency Rating, Carbon Emission Baseline, Multivariate Analysis, Principal Component Analysis (PCA)

References

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