近年來，節能科技被廣泛引進在各項產業中以解決能源危機及氣候變遷等問題，然而並無單一科技能解決所有問題，必須整合應用各技術以達到顯著之效果。 在多項技術並用下，有時能達到加成的綜效，但亦可能相互競爭甚或抵消彼此的效果，因此在檢驗各項技術的應用效果時，一個能概括這些相互影響的評估架構是必要的。
本研究旨在建構一個針對能源科技在不同情境下引進之環境影響評估工具原型，並用於評估多項台灣節能科技的推廣政策以呈現其效果。其一為引進電動車取代傳統內燃機車輛以減少移動源之排放，同時亦可透過充電系統的建置連結電網以達到均衡負載之效用，但這也產生在充放電過程中的電力損失而抵銷了引進再生能源如太陽能及風力發電的減排效果。另一方面，電動車的引進減少汽油的需求量並進一步改變石化廠的運作。本研究整合發電結構優化模型、模擬石化廠運作之數學模型以及在不同情境下電動車使用及替換之預測模型並同時考量替代能源等節能科技引進以全面評估上述效應。
將此結果與傳統單純將各項科技效益相加及部分整合評估比較後存在顯著的差異，縱然目前仍無法證明何種方法較正確，但此方法涵蓋科技間相互效應並進一步提供在制定政策時更完善的討論。以本研究為例，在替代能源及高效率電器引進等政策中，太陽能及風力發電系統對於電動車引進之減排貢獻最大，電動車惟有與其並行推廣始能達減排效益。

Technology innovation in energy domain is expected to avoid the crises in resource depletion and climate change. However, no single technology can resolve all the problems. Various technologies need to be implemented jointly so as to make substantial difference. It is considered that some of the innovations exhibit synergy, while others may compete with each other or to cancel out its effects. Therefore, to understand how much technology innovations can offer to avoid the crises, an assessment framework that is capable of looking into key interactions among various innovations in energy technologies is needed. This study presents a prototype of scenario-based environmental assessment framework of energy-related technology roadmaps. The framework is demonstrated with several of the Taiwan’s roadmap in green energy technologies. By shifting internal combustion engine vehicles into electric vehicles, the emissions from mobile sources are reduced. In the meantime, load balancing can be achieved when the electric vehicles are connected to the grid through advanced charging facilities. There is inevitably a loss during recharging and discharging, which may to some extent cancel out the emission reduction achieved by introducing more renewable and cleaner energy sources, such as photovoltaic and wind power systems. Meanwhile, it reduces the demand of gasoline and hence the operation of petrochemical refineries. Power mix optimization model, consequential model for petrochemical industry, and scenario models for vehicles use and replacement are used in an integrated manner to comprehensively assess abovementioned contributions together with different context setting of introducing renewable energy and other energy saving technologies. Significant differences among the results from use of integrated models developed in the study, mere summation of individual assessment, and calculations with different level integration. While the integrated results are not yet proved to be more accurate, it incorporates known interactions, which support holistic discussions on priorities of innovation. For example in this study, the contribution in reducing emission under different assumptions, by the introduction of photovoltaic and wind systems, bioethanol and high-efficiency appliances, is compared. The results show introducing photovoltaic and wind system has the highest contribution and emission change is only made negative with it.

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