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研究生: 李書儀
Li, She-i
論文名稱: 以BIM能源模擬工具優化住宅型建築之能源
Energy Optimization of Residential Buildings using BIM Energy Simulation tools
指導教授: 潘南飛
Pan, Nan-Fei
學位類別: 碩士
Master
系所名稱: 工學院 - 土木工程學系碩士在職專班
Department of Civil Engineering (on the job class)
論文出版年: 2023
畢業學年度: 112
語文別: 中文
論文頁數: 155
中文關鍵詞: 節能建築建築能源模型建築信息模型
外文關鍵詞: Energy-saving buildings, Building Information Modeling, Building Energy Modeling
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  • 建築信息模型(BIM)和建築能源模型(BEM)工具的互操作性和集成是建築、工程和施工(AEC)行業面臨的主要挑戰。本論文的目標是(i)研究各種BEM工具以評估其工作流程以及與BIM的集成,以及(ii)從更廣泛的視角到更具體的視角(即分別從EUI到最終使用數據)評估BEM工具在預測/模擬整個建築能源性能方面的準確性。
    為了順利進行研究,本研究選擇位於高雄市中心一處住宅型建物作為研究個案,選擇該建物的主要標準是住宅型建物占我國建築物總數之七成以上,且本研究作者可以取得該建物之能源使用數據。另外在BEM工具選擇方面,本研究採用BIM集成、BIM可互操作和BIM分離等三種BEM工具,將用於評估設計及工作流程分析。
    為了對模擬能源數據和測量數據進行比較分析,收集並使用個案的實際能源數據。再進一步針對個案以BEM工具進行能源使用優化分析並提出建議。研究結果顯示,潛在的發展對於實現簡化的BIM到BEM工作流程至關重要,從而減少繁瑣和耗時,另外建築物的朝向以及於規劃設計階段選用之材料,對於其後續營運時之能耗扮演至關重要之角色。

    The objectives of this paper are (1) to study various BEM tools to evaluate their workflow and integration with BIM, and (2) to evaluate the accuracy of BEM tools in predicting/simulating the energy performance of the whole building from a broader perspective to a more specific perspective (i.e. from EUI to end-use data respectively).

    第一章 緒論 1 1-1 前言 1 1-2 研究背景及動機 2 1-3 研究目的 4 1-4 預期效益 5 第二章 文獻回顧 6 2-1 綠色BIM現況 9 2-2 BIM 10 2-2-1 BIM在專案中的應用 13 2-2-2 BIM應用之阻礙 15 2-3 BIM於實現永續發展之應用 17 2-3-1永續建築的動機和期待 18 2-3-2 BIM與 LCA 之鏈接 19 2-3-3 永續建築之障礙 23 2-4 能源與BIM 27 2-4-1 建築設計流程 30 2-4-2 BIM和BEM 31 2-5 BIM 標準和指南(ISO 19650) 34 2-6 BIM與永續住宅之關係 40 2-6-1設計階段 40 2-6-2營運階段 47 第三章 研究方法及研究概述 52 3-1 問題界定 52 3-2 研究方法 53 3-2-1研究個案背景資訊 53 3-2-2 能源數據:原始數據和校準數據 55 3-3 BIM/BEM模型 61 3-3-1 BIM和BEM工具 62 3-4 BIM能源優化的永續續消費模式 65 第四章 結果與討論 70 4-1 BEM模型和仿真結果 70 4-1-1 BIM到BEM資料轉移 73 4-1-2 BEM模型和仿真結果 75 4-2 BEM結果討論 87 4-2-1 能源使用強度數據 87 4-2-2 能源使用數據 90 4-2-3 最終使用量數據 92 4-2-4 分層能源評估中的BEM工具評級 96 4-3 從BIM到BEM之執行過程說明 98 4-3-1 從BIM到Systems Analysis之執行過程 98 4-3-2 從BIM到Sefaira執行過程 100 4-3-3 從BIM到Insight之執行過程 100 4-3-4 從BIM到IDA ICE之執行流程 101 4-3-5 BIM到GBS之執行過程 101 4-3-6 從BIM到eQUEST之執行過程 103 4-4 BIM能源優化的永續消費模式分析結果 104 第五章 結論與建議 110 5-1結論 110 5-2 建議 114 參考文獻 116

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