近幾十年來 , 科技的巨大成就促進了可再生能源的發展 , 不但滿足未來能源供
應需求 , 也有效保護生態環境 . 近期出現大量可再生能源對於經濟評估之不確定性的
研究 . 然而 , 考慮各種參數所產生之影響的研究仍屬少數 , 特別是那些仔細考慮優化
維護策略 , 政府財政補貼和動態天氣條件影響的研究 . 本研究提出了在政府財政補貼 ,
動態天氣條件（包括颱風）, 稅收 , 投資者期望 , 最優維修時間表等影響下評估太陽
能發電系統（PV）和海上風力發電系統等可再生能源的經濟可行性方法 . 在實際的天
氣條件下產生電力 , 減少二氧化碳排放 . 為了提高準確性並解決經濟評估的不確定性 ,
本研究提出了一種確定海上風力發電系統的最佳維修計劃方法 , 使維護成本最小化 .
透過經濟標準 , 評估目前台灣政府補貼的實施狀況 , 其還是有些表現不足之處 . 本研
究進一步提出更適當的政府補貼策略 , 不但滿足投資者期望也達成政府的標準 . 這項
研究有助於更好地了解與可再生能源有關的問題 , 以及最佳化維修 , 並提供大量信息 ,
在幫助投資者與政府決策者做出正確決策之中扮演著重要的角色

In recent decades, advantageous achievements of the technology have promoted the
expansion of renewable energy for meeting future energy supply needs and ensuring
environmental protection. A huge number of researches have emerged recently to deal with
the uncertainty of economic evaluation of renewable energy sources. However, the
researches considering the effects of various influential parameters remain small and
limited, especially those that consider thoughtfully the impacts of maintenance strategy
optimization, government subsidies, and dynamic weather conditions. This study proposes
approaches to assess the economic feasibility of renewable energy sources such as
Photovoltaic (PV) system and offshore wind system, under influences of government
financial subsidies, dynamic weather conditions (including typhoon), taxation, expectation
of investor, optimal maintenance schedule, generated electricity under real weather
conditions, and benefits from reduction of CO2 emission. To increase the accuracy and to
deal with the uncertainty of economic evaluation, this study also proposes an approach to
determine the optimal maintenance schedule for offshore wind system, such that
maintenance cost is minimized. Through economic criteria, the currently applied subsidies
of Taiwan government are assessed and shown some deficiencies. This study further
proposes more appropriate subsidies for government in term of satisfying both of investor’s
expectation and government’s target. This study contributes to better understanding of the
problems related to renewable energy sources, maintenance optimization, and provides
quantitative information that play a critical role in supporting decisions of both investors
and government policy-makers.

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