應用多準則決策分析於能源使用及溫室氣體排放之績效評估

Multiple Criteria Decision-making Methods application in performance assessment of energy use and greenhouse gas emission

林龍杰(Lung-Chieh Lin)

指導教授 ： 李文興

國立臺北科技大學/機電學院/冷凍空調工程系所/博士(2014年)

摘要

多準則決策分析之方法為管理決策領域中常被廣泛應用之評估技術，但無應用於建築物能源使用及溫室氣體排放量評估上，本研究有別於文獻研究使用單一指標進行評估，於建築物能源使用及溫室氣體排放量評估進行多指標之評估，提供給其他相關研究單位不一樣的思考方向。本研究使用GRA及TOPSIS兩種不同的方法，將各種指標納入一起進行評比排序，避免造成不客觀的現象發生。本研究分析政府機關大樓能源使用績效及歐盟各國溫室氣體排放量績效評估兩個案例，進行多指標評比排名，由於兩種方法之理論不盡然相同，故會產生不同結果，在建築物能源使用績效評比後進行之排名分群則出現相似的分群結果，這顯示在評比排序後需要再進行分群，這樣的方式可更有效對能源使用績效進行評估。本研究結果可以提供利害相關者客觀有效的依據，並提供未來相關研究不同面向之思考方向。

關鍵字

能源使用 ； 溫室氣體 ； 指標 ； 排名

並列摘要

Multiple criteria decision making analysis method has been widely applied in management strategic planning, but not in assessments of building energy use and greenhouse gas emissions. This study applies multiple criteria decision making analysis methods in evaluating building energy use and greenhouse gas emissions assessments, and marks a difference from literature with single indicator consideration. In this study, two different analysis methods, GRA and TOPSIS, are utilized. A variety of indicators are taken into account to avoid bias.
The performance of government building energy use and the greenhouse gas emissions of the EU countries are the two cases studied in this paper to demonstrate the multiple criteria decision making analysis application. Since the theories of GRA and TOPSIS are not entirely the same, the evaluated results are distinct. The performance assessment of building energy use shows clusters with similar results, which suggests the need for further cluster sorting to effectively evaluate building energy performance.
The results of this study generate objective and effective information relevant to stakeholders and provide future research with a different evaluation strategy in related fields.

並列關鍵字

Energy use ； Greenhouse gases ； indicator ； rank

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