A Study of Using Technique for Order Preference by Similarity to Ideal Solution to Evaluate Building Energy Performance

• Main Authors: KUO-SHU TSAI, 蔡國書
• Other Authors: 李文興
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/uwzvx9

碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系 === 106 === In recent years, faced with global warming and energy shortage, the low-carbon economic development mode based on low power consumption, low emission and low pollution has become a popular topic studied by many countries. Therefore, it is very important to analyze low-carbon economic development level, and learn about the low-carbon development situation to provide decision reference frame for establishing suitable characteristic low-carbon development modes. At present, the common methods for evaluating energy user performance mostly use EUI as reference indicator. This study uses multiple criteria evaluation theory, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is combined with the powerful drawing and computational analysis functions of R software, for its free and extensive functions, it is used in finance industry, traffic transport industry, medical industry and so on, but seldom used in building energy consumption analysis. The analysis method of TOPSIS is used to analyze the energy utilization efficiency of the branches of a securities company in the whole province, to discuss the performance of research subject. The multi-indicator ranking is performed, the clustering results are similar. This method can evaluate the energy use performance more effectively. The feasibility of the method is confirmed by case analysis. The evaluated unit to be improved may be found more accurately by coordinating the efficiency indicators. The results of this study can provide objective and effective criteria for decision making related persons, the differences in the energy utilization efficiency are discussed, so as to obtain the potential energy saving space of building and improvement method which are provided for the future studies.