臺灣博碩士論文加值系統

隨著環保議題受到關注，綠建築也日益受到重視，而綠化設計除了在綠建築認證上的得分外，對於環境的降溫與人體健康也都甚有幫助，且比較各大綠建築認證指標，台灣EEWH特別將綠化量指標獨立出來，可見我國對綠化量之重視。
台灣EEWH中綠化量指標的計算主要根據各類喬木、灌木、草坪等各種植栽類型的二氧化碳固定量以及種植面積，同時考量是否為可予以得分優待的原生或誘鳥誘蝶植物，本研究開發一利用Revit建立之BIM模型計算綠化量指標之得分，並結合營建研究院出版之公共工程常用植栽手冊之苗木價格計算綠化設計之成本。另外本研究亦使用遺傳演算法開發一綠化量優化設計程式，以喬木類植栽進行綠化量設計，並根據優化結果討論各植栽被選用之頻率與植栽類型、苗木成本及是否為原生或誘鳥誘蝶植物之關聯性。

With the emphasis on environmental protection in recent years, green building has also become a popular and important topic. Greenery design not only plays a crucial role in green building certification systems, but also reduces the heat island effect and helps improve human health. After comparing most popular green building standards in the world, it is found that the Taiwanese green building standard, EEWH, specifically focuses on greenery design and make it an independent indicator, called “foliage.”

The foliage indicator in EEWH mainly considers the carbon dioxide absorption amount of various types of plants, such as trees, bushes, and lawns. The foliage indicator also encourages the use of local plants and plants that can attract birds and butterflies by giving bonus scores in EEWH. This research aims to develop a system that can easily calculate the foliage scores of greenery design from Revit BIM models and the corresponding greenery cost. An optimization model for tree-based greenery design using the genetic algorithm was also developed. Finally, this research would discuss the use of different types of trees in greenery design and their corresponding costs and foliage scores. Whether the selected trees in greenery design are local or whether these trees can attract birds or butterflies was also considered in the discussion.

口試委員審定書 i
誌謝 ii
中文摘要 iii
Abstract iv
目錄 v
圖目錄 viii
圖目錄 ix
表目錄 x
第一章 緒論 1
1.1研究背景 1
1.2研究動機與目的 2
1.3研究範圍與限制 3
1.4研究架構及流程 3
第二章 文獻回顧 5
2.1建築資訊模型BIM與其應用程式介面API 5
2.2綠化對人與環境之影響 6
2.2.1植物降溫 6
2.2.2綠化與人體健康 6
2.3綠建築指標比較 6
2.3.1英國BREEAM 7
2.3.2美國LEED 9
2.3.3台灣EEWH 11
2.3.4日本CASBEE 12
2.3.5香港BEAM plus 14
2.3.6新加坡BCA Green Mark 15
2.4 EEWH綠化量指標 17
2.4.1綠化量指標得分計算 19
2.4.2栽植類型定義與優惠評估 20
2.5演算法比較與選擇 21
2.5.1演算法選擇 21
2.5.2遺傳演算法Genetic Algorithm 23
第三章 綠化量指標得分與成本計算 29
3.1軟體選擇 29
3.2綠化量指標得分與成本計算方式 29
3.2.1綠化量指標得分計算 29
3.2.2使用植栽成本計算方式 32
3.3植栽分類與成本資料建置 32
3.4 BIM元件建置與參數設定 32
3.5得分與成本計算API開發說明 36
第四章 優化程式設計 42
4.1優化對象選擇 42
4.2優化程式設定 44
4.2.1編碼方式 44
4.2.2初始族群決定方式 47
4.2.3適應值 48
4.2.4複製策略 48
4.2.5母體數決定 49
4.2.6交配策略 49
4.2.7突變策略 50
4.2.8演化世代數決定 51
4.3綠化量指標設計值優化程式執行結果 53
第五章 結論與建議 57
5.1結論 57
5.2建議 57
參考文獻 59
附錄1 植栽編碼 62

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