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系統識別號 U0026-0808201913550000
論文名稱(中文) 基於多因子評估建築設計與使用行為的調適策略 -以台南氣候下連棟住宅為例
論文名稱(英文) Adaptation strategy of building design and occupant behavior based on multi-factor evaluation -A Case Study of townhouses under Tainan climate
校院名稱 成功大學
系所名稱(中) 建築學系
系所名稱(英) Department of Architecture
學年度 107
學期 2
出版年 108
研究生(中文) 湯晨
研究生(英文) Chen Tang
學號 n76064430
學位類別 碩士
語文別 中文
論文頁數 93頁
口試委員 指導教授-蔡耀賢
口試委員-陳秀玲
口試委員-葉育君
中文關鍵字 氣候變遷  健康風險  室內溫度  PM2.5  CONTAM  EnergyPlus 
英文關鍵字 Climate Change  Health Risks  Indoor Temperature  PM2.5  CONTAM  EnergyPlus 
學科別分類
中文摘要 氣候變遷帶來的環境變化與極端事件對人們的衝擊越發劇烈,為降低氣候變遷造成的威脅,確保地球永續發展與人體健康,各界皆致力於研擬相關的策略,過去建築學界相關的討論多著墨在如何降低能耗與防災等面向,較少著眼於室內環境的健康風險之議題。建築物做為室內外環境之屏障,擁有調適並提供健康環境給居住者之功用,為因應氣候變遷所造成的暖化與更頻繁的極端氣候事件,住宅建築應及早擬定調適策略。
本研究為提出因應全球暖化後調適室內溫度及PM2.5的綜合策略,以台南地區常見的連棟住宅為對象,藉由模擬軟體CONTAM與EnergyPlus之間的聯合模擬,探討氣候變遷下居住者室內溫度及PM2.5的暴露情形,並以較為脆弱的易感族群之健康風險為評估指標。提出包含被動與主動調適的「住宅外殼」、「居住者行為」與「設備使用」等三個面向的綜合調適策略。
研究結果顯示,建築外殼改善策略中降低「玻璃太陽日射取得率」為降低室內溫度風險日最佳之改善因子,而PM2.5有效之改善因子為提升「窗戶氣密性」,因此同時改善此兩項因子對降低整體健康風險日數的幅度最佳,其次為「外牆熱傳透率」,最末為「屋頂熱傳透率」。居住者開窗行為對室內健康風險暴露有顯著影響,若居住者能配合外部環境健康因子的變化進行開關窗行為的改變,能維持較佳之室內環境。但僅依靠被動調適策略無法確保居住者的健康,勢必需要機械設備的主動調適介入,因此主被動的調適策略間的互相配合,能夠降低維持居住者健康的能源使用量,因此達到與環境共好之目標。
此外,2030年之近未來氣候模擬結果與過去氣候模擬結果比較後,可觀察到氣候變遷對維持室內健康之能耗影響甚鉅,因此建築外殼改善以較低建築能耗是更有其必要,綜合調適策略之間的互相搭配以達到維持居住健康與地球永續之共效益,維持室內健康風險水平,且減緩氣候變遷的進程。
英文摘要 In recent years, all areas of society have actively proposed strategies to reduce climate change, ensure sustainable development, and safeguard human health. In the field of architecture, more attention is paid to building energy consumption and disaster prevention in this regard, and less attention is paid to ensuring healthy indoor environments. This study hopes to treat buildings as barriers to provide a comfortable and healthy environment for their occupants, especially in the face of climate change.
This study focuses on townhouses in the area of Tainan. Both the indoor temperature and the concentration of PM2.5 were co-simulated using the CONTAM and EnergyPlus software packages. Strategies for improving indoor health factors were proposed in the three directions of "envelope," "occupant behavior," and "equipment use."
The results of this study show that in the adaptation strategy of the building envelope, the Solar Heat Gain Coefficient (SHGC) can effectively reduce the indoor temperature risk during the day, and the air permeability of the window can reduce the PM2.5 risk (also during the day), so we recommend that both should be improved. If the capacity permits, the U values of the wall and the roof can also reduce the indoor temperature risk during the day, although they are not as effective as SHGC. In terms of occupant behavior, we recommend adjusting the timing of switching windows, according to the health thresholds of temperature and PM2.5. In addition, we recommend adding an active strategy, because passive strategies do not completely reduce health risks, especially in future simulation scenarios. This study suggested adding a fresh air system to match the original air conditioning of the Taiwanese families. With these measures, we hope to achieve the co-benefits of human health and environmental sustainability.
論文目次 第一章 緒論 1
1-1 研究背景與動機 1
1-2 研究目的 5
1-3 研究範圍與流程 6
1-3-1 研究範圍 6
1-3-2 研究流程 7
第二章 文獻回顧與相關理論 8
2-1氣候變遷之現象 8
2-1-1氣候變遷的現在與未來 8
2-1-2頻繁的極端溫度事件 10
2-1-3 PM2.5的現在與未來 11
2-2氣候變遷對人體健康的衝擊 13
2-2-1溫度與相關疾病 13
2-2-2 PM2.5與相關疾病 16
2-3 住宅外殼調適設計手法 19
2-3-1 溫度與住宅外殼調適 19
2-3-2 PM2.5與住宅外殼調適 20
2-4 居住者調適行為與影響 21
2-4-1 調適行為的驅動與偏好 21
2-4-2 自然通風為對室內環境的影響 23
2-5 文獻回顧小結 24
第三章 研究方法 25
3-1 住宅室內環境模擬工具 25
3-1-1 EnergyPlus 計算說明 25
3-1-2 CONTAM 計算說明 27
3-1-3 EnergyPlus與CONTAM的co-simulation 28
3-2 模擬之氣象資料 30
3-2-1 TMY3標準氣象 30
3-2-2未來氣象資料 30
3-2-3 現況PM2.5資料 33
3-2-5未來PM2.5資料 34
3-3溫度之健康風險 35
3-4敏感度分析 42
第四章 連棟式住宅調適策略探討 43
4-1 模擬條件設定 43
4-1-1 空間設定 43
4-1-2 氣象設定 43
4-1-3 風險日判定 43
4-1-4 建材設定 45
4-2 房間開口部朝向與樓高討論 46
4-2-1開口部朝向與健康風險日之分析結果 46
4-2-2樓高與健康風險日之分析結果 48
4-3建築外殼之敏感度分析 50
4-3-1調適策略因子設定 50
4-3-2敏感度分析結果 52
4-3-3室內溫度風險日之效益評估結果 52
4-3-4室內PM2.5風險日之效益評估結果 54
4-3-5綜合討論結果 54
4-4 住宅外殼調適策略模擬 56
4-4-1 調適策略因子參數設定 56
4-4-2 模擬結果 57
4-5 居住者行為調適策略模擬 59
4-5-1 居住者行為設定 59
4-5-2 居住者行為對健康風險日數影響之模擬結果 61
4-6 主動調適策略模擬 66
4-6-1 建築設備之設定 66
4-6-2 主動調適模擬結果 66
4-7 調適策略小結 69
第五章 未來氣候下住宅調適策略探討 70
5-1未來PM2.5預測與情境建立 70
5-2未來氣候下之住宅調適策略模擬 72
5-2-1被動式調適策略結果 72
5-2-2主動式調適策略結果 74
5-3未來調適策略小結 78
第六章 結論與建議 79
6-1研究結論 79
6-2後續研究建議 81
參考文獻 82

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