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研究生: 吳怡葇
Wu, Yi-Jou
論文名稱: 替代能源應用於私有運具之環境效益評估
The Environmental Efficiency Evaluation of Private Vehicles with Alternative Energies
指導教授: 張瀞之
Chang, Ching-Chih
學位類別: 碩士
Master
系所名稱: 管理學院 - 交通管理科學系
Department of Transportation and Communication Management Science
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 76
中文關鍵詞: 替代能源生命週期評估法(LCA)私有運具溫室氣體細懸浮微粒(PM2.5)外部環境健康成本
外文關鍵詞: Alternative energy, External Environmental Health Cost, GHG and PM2.5emission, Life Cycle Assessment, Private vehicles
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  • 近年來臺灣私有運具之使用加劇了溫室效應與空氣汙染,造成環境衝擊及影響到人類健康。本研究以臺灣私有運具能源面為研究對象,探討替代能源(風力發電、水力發電、太陽能發電與氫能)及傳統能源(能源火力燃煤發電、天然氣發電與汽油)生命週期碳足跡溫室氣體排放,藉此提出減排策略,評估若實施減排策略後,臺灣2030年及2050年溫室氣體及細懸浮微粒(PM2.5)是否能落實《國家自訂預期貢獻》與《溫室氣體減量及管理法》之排放規範。最後探討隨著替代能源比例提升,運用失能調整生命年(Disability Adjusted Life Year)為換算外部環境健康成本單位基礎,藉以判斷因細懸浮微粒(PM2.5)所造成的失能調整生命年,以瞭解私有運具外部環境健康成本改善幅度。
    研究結果顯示,替代能源中以風能排放最低其次分別為水力發電、氫能與太陽能;傳統能源以火力燃煤發電排放最高,其次為天然氣與汽油。 2030年使用30%低排放車輛取代汽油車及使用35%替代能源與65%傳統能源,溫室氣體排放量比2005年(BAU2005)減少607.99萬公噸(約21%)。PM2.5排放量比2005年(BAU2005)減少403.72公噸(約28%),外部環境健康成本比基礎情境(BAU2030)改善 188.79DALY (約22%),亦及 188.79 個失能調整生命年。2050年使用60%低排放車輛取代汽油車及使用 86%替代能源與14%傳統能源,溫室氣體排放量比2005年(BAU2005)減少1804.28萬公噸(約61%)。PM2.5排放量比2005年(BAU2005)減少865.42公噸(約59%),外部環境健康成本比基礎情境(BAU2050)改善 447.31DALY (約55%),亦即447.31 個失能調整生命年。總結研究結果,臺灣私有運具未來若能以替代能源取代傳統能源,將能夠大幅減少臺灣全球暖化及空氣汙染,進而提升臺灣人民之健康品質。

    This study examines the life cycle carbon footprint of greenhouse gases and PM2.5 emissions of alternative energies (wind power, hydropower, solar energy, and hydrogen energy) and of traditional energies (coal-fired power, natural gas, and gasoline) and proposes mitigation strategies to reduce global warming and the air pollution caused by Taiwan’s private vehicles. The study then assesses the degree to which emissions are reduced if the goals of Taiwan’s the Intended Nationally Determined Contribution and the Greenhouse Gas Reduction and Management Act mitigation strategies are met by 2030 and 2050. Finally, the study explores the external environmental health costs of the private vehicle (based on Disability-Adjusted Life Year) and the degree to which improvements occur.
    Results show that wind power has the lowest level of greenhouse gas emissions and coal-fired power has the highest. The mitigation strategy for 2030 means that low-emission vehicles will replace 30% of gasoline vehicles, and using 35% of alternative energies and 65% of traditional energies; GHG emissions and PM2.5 will decrease by 6,079,900 tons and 403.72 tons compared to 2005; and external environmental health costs will improve by 188.79 DALY compared with BAU2030. In 2050, low-emissions vehicles will replace 60% of gasoline vehicles; 86% of traditional energy will replace alternative energy; GHG and PM2.5 emissions will decrease by 18,042,800 tons and 403.72 tons compared to 2005; and external environmental health costs will improve by 447.31 DALY compared with BAU2050.

    摘要 I 目錄 VIII 第一章 緒論 1 1.1. 研究背景 1 1.2. 研究動機 6 1.3. 研究目的 10 1.4. 研究架構 10 1.5. 小結 11 第二章 文獻回顧 13 2.1 替代能源產氫之文獻回顧 13 2.2 替代能源產電之文獻回顧 15 2.3 應用生命週期法評估低排放車輛之碳足跡文獻回顧 18 2.4 外部環境成本評估之文獻回顧 20 2.5 小結 22 第三章 研究方法 29 3.1 碳足跡評估方法 29 3.1.1生命週期評估法 29 3.1.2碳足跡 31 3.1.3 碳足跡計算流程 31 3.1.4碳足跡評估軟體 33 3.2變數、參數以及模型設定 33 3.2.1 製成地圖及系統邊界 33 3.2.2模型變數及排放係數說明 38 3.2.3模型建立 39 3.3小結 41 第四章 實證分析 42 4.1 各能源生命週期碳足跡之溫室氣體排放量 42 4.1.1 風力發電 42 4.1.2水力發電 43 4.1.3太陽能發電 44 4.1.4火力燃煤發電 46 4.1.5天然氣發電 47 4.1.6 氫能 48 4.1.7汽油 49 4.1.8綜合比較 50 4.2 臺灣私有運具溫室氣體減排策略 53 4.2.1 車型種類與市佔率說明 53 4.2.2 耗油量資料說明 54 4.2.3假設情境說明 55 4.2.4 基礎情境下溫室氣體排放量 59 4.2.5 假設情境下溫室氣體排放量 60 4.3 臺灣私有運具之PM2.5排放量與外部健康成本 63 4.3.1 各能源PM2.5排放係數表 63 4.3.2 基礎情境下PM2.5排放量 63 4.3.3 減排策略下PM2.5排放量 64 4.3.4 外部環境健康成本 66 4.4 小結 67 第五章 結論與建議 69 5.1結論 69 5.2建議 70 5.3研究限制 70 5.4未來研究方向 71 參考文獻 72 中文文獻 72 英文文獻 72

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