為了緩和都市建築環境日益惡化的問題，近年來各國政府皆已投入極大的資源進行永續意識的提升，並將智慧化與綠色永續發展納入國家產業的重大發展政策，將綠建築結合智慧化設備，即為智慧綠建築。然而現今智慧綠建築與其衍生的設計策略，是否確實能在品質與效益間滿足使用者需求與認知，實為未來政府極力推動智慧綠建築前值得研究的課題。

本研究擬(1)蒐集彙整國內外相關智慧綠建築設計策略文獻及現有相關建築設備技術，並採用(2)Kano二維品質模式，將問項需求歸類成五大類Kano品質要素，包括：魅力要素、一維要素、當然要素、無差別要素及反轉要素，透過問卷調查形式針對一般使用者與建築專業人士分析統計，並將使用者經驗感知、需求體驗與滿意度量化成品質改善指標，並(3)計算一般與建築專業人士各項品質要素增加滿意與減少不滿意程度，藉以提出未來智慧化綠建築的設計策略。本研究獲得以下結論：

一、 本研究32個問項要素中，一般民眾類別有18項為魅力要素、4項為當然要素、10項為無差別要素；建築專業人士有17項為魅力要素與15項為無差別要素。
二、 建議針對一般民眾類別中智能風扇空調並用循環系統、自動調濕系統、智能VRV分區變頻空調系統；建築專業人士中智慧化屋頂綠化系統與智能防火區劃引導系統進行改善執行，將會得到使用者滿意。

智慧綠建築，以綠建築為基礎導入智慧型高科技技術之應用，提升建築整體效能為目的。詢問建築師或業主項目之主觀機率產生意願期望值，透過品質滿意指標與期望值進行量化計算產生品質指標排序，提供未來建築設計師對智慧綠建築技術與設計策略上實施優先順序。

In order to ameliorate the problem of deteriorating urban building environment, governments in most parts of the world have been investing plenty of various resources to promote the awareness of sustainability and to incorporate the concept of getting intelligent and going green in the way of urban planning when they make significant development policies. Notwithstanding, a subject present itself: do the intelligent green building and the design strategies which carry it into reality truly reflect its quality and effectiveness in regard to the building user’s demand and satisfaction. Such a subject is what may dictate the direction of government policy and thus is worthy of serious probing.

This study sets the following three things as its focus:(1)Researching and putting together as much literature as possible, published domestically as well as abroad, in the area of intelligent green building design strategies and existing related construction equipment and technology. (2)Employing the KANO two-dimensional quality model, which categorizes KANO quality elements into five sub-groups: attractiveness element, one-dimensional element, must-be element, indifferent element, and reverse element. A statistical analysis is done through questionnaires distributed to regular users and users with an architecture-based education. In addition, a quality improvement index is obtained as a result of quantifying the users’ experience, perception and satisfaction. (3)Delving into distinctions in terms of satisfaction level and demand level on the contrasting parts of ordinary users and users with and architecture-based education, in the hope of bringing forward fresh strategies for future intelligent green building designing.

The findings of this study are stated below: (1)Of the thirty-two questions asked, regular users claim eighteen as attractive element, four as must-be factor and ten as indifferent element. By contrast, users with an education-based education state seventeen as attractiveness element and fifteen as indifferent element.(2)Greater user-satisfaction on the part of regular users could be attained if improvement could be made in the performance of the smart fan with the air-conditioning and circulation system, the automatic humidity system and the intelligent VRV inverter air-conditioning partition system. As regards professionals in the trade of architecture, higher level of satisfaction could be generated when improvement is made in the areas of the green roof system and the intelligent fire protection division system.

Intelligent green building, its predecessor being green building, is currently continuing to employing newly-developed technology and sets as its goal the ultimate enhancement of a construction’s overall function and performance. By putting questions to architecture professionals and regular building users and by calculating the subjective probability, an expectancy value is derived. Furthermore, through quality indicators and satisfaction expectancy, a quantified preference for various quality levels is defined, which is considered significant for architects in the future when they work on innovating their intelligent green building know-how and the design strategies.

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