多準則決策評估模式於太陽能電池技術選擇之應用

Abstract

煤、石油、天然氣等石化燃料與核能是現今主要之電力來源，然而隨著石化燃料漸漸的趨向消耗殆盡、全球暖化現象加劇與日益高漲的環保意識，對於再生能源的需求變的更為殷切。由於能源技術的不斷的進步，太陽能已經成為最受重視與熱門的一種再生能源，所以對於太陽能的研究也不斷的增加。但在眾多的太陽能的研究中，對於太陽能電池技術評估與選用的研究仍相對缺乏。因此本研究在整合專家意見後，運用解釋結構模型 (interpretive structural modeling, ISM)，效益、機會、成本與風險概念( benefits, opportunities, costs and risks concept, BOCR)，與模糊分析網路程序 (fuzzy analytic network process, FANP)等方法建立一個太陽能電池技術的多準則決策(multi-criteria decision making)評估與選用模式。在建立模式後，運用本研究的方法對某一太陽能電池廠進行個案研究來檢驗本模式實用性，並成功的選擇出該公司適合新太陽能製造的技術。

Fossil fuels, including coal, petroleum, natural gas and nuclear energy are the primary electricity sources currently. However, with depletion of fossil fuels, global warming, nuclear crisis, and increasing environmental consciousness, the demand for renewable energy resources has skyrocketed. Solar energy is one of the most popular renewable energy resources for meeting global energy demands. Even though there are abundant studies on the development of various solar technologies, there is a lack of studies on solar cell technology evaluation and selection. Therefore, this research develops a multi-criteria decision making model (MCDM) using interpretive structural modeling (ISM), benefits, opportunities, costs and risks concept (BOCR), and fuzzy analytic network process (FANP) to aggregate experts’ opinions in evaluating current available solar cell technologies. A case study in a photovoltaics (PV) firm is used to examine the practicality of the dissertation model in selecting the most suitable technology for the firm in manufacturing new products.