在面對氣候變遷，全球暖化的大環境趨勢下，「建築」已成為繼工業部門後最具減碳潛力的產業。歷年來多次世界能源危機及全球氣候異變日趨劇烈，無疑是地球對於人類濫用能源的警告。而面對這些危機與異變，世界各國無不揭竿推動節能減碳相關對策及措施。以建築管理的角度，智慧建築不僅系統設備的本身的智慧化，亦需要透過相互整合連動管理，以達到使建築智慧化的目的。除了針對建築整體之效率外，更應以達到顧及使用者身心健康為前提，而後才朝向節能減碳目標邁進。
根據預估在未來10年建築物將會成為全球最大的資源消耗原因，全球商業與住宅建築的能源消耗甚至會達總消耗量的二分之一。不僅僅是建築生產的過程中會產生能源浪費，在設施運轉及維護的過程中更是消耗掉許多資源，為了解決建築的高耗能與高成本的問題，現在可以利用智慧分析操作的方式去提升整體的效率，智慧型建築的運轉模式中涵蓋多種參數，因此為了瞭解各種差異性因素的影響程度，我們需要更進一步的研究，綜合各種量測標準和數據，建立更有效率的智慧型建築基本運轉模式，找出物理環境與人類生理影響的關聯性，在物理與生理參數之間取得平衡點，藉此找出智慧型建築運轉的最佳化模式，利用最低的耗能達到整體的舒適及最大環境效益。在智慧化建築中，將會有許多產品及設備與使用者的舒適及健康息息相關，因此系統效率的提升，及最佳化模式之建立皆應基礎於使用者需求之上。本研究主要目的係希望以建築管理的思維模式，透過科學性方法驗證，探討智慧建築中「健康」、「舒適」、「節能」等議題如何交互影響。因此本研究希望透過維持室內環境品質健康舒適之狀況下，建立出符合「智慧型建築運轉最佳化模式」，並以實際在台灣已取得智慧建築標章之建築案例進行研究與驗證。

The estimation of the next ten years, buildings will become the main reason of resource depletion. The energy consumption of global commerce and residential buildings will be responsible for nearly half of total consumption. To solve issues of high energy consumption and high maintenance costs of the buildings, intelligent analysis methods are now used to increase overall efficiency. The operation models of intelligent buildings encompass many variables, so further research is required to understand the effects of the different factors and characteristics. By combining the various measurement standards and data, a more effective intelligent building operation model may be established to isolate the relativity of the physical environment and humans’ biological effects, and through striking a balance between the physical and biological variables, the optimal operation model for intelligent buildings may be found and allow for the achievement of comfort and maximum environment benefits with the least amount of consumption. In the intelligent buildings, there will be many products and facilities dedicated to the comfort and health of the users, hence improvement of system efficiency and optimal operation model is based on the basic requirements of the users. Therefore, this study hopes to maintain the current conditions of indoor environment quality and comfort and establish “An Optimal Intelligent Building Operation Model” and conduct research and verification on case studies that have obtained the Taiwan Intelligent Building Labels.

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