環境資源報告成果查詢系統

109年度柴油引擎汽車新車抽驗及先進污染管制應用研究專案工作計畫

中文摘要 依據2020年10月交通月報統計,國內柴油車總數約有85萬輛,確保柴油車輛在生命週期中污染排放品質是政府重點施政工作之一。因此,行政院環保署依據空污法委託本計畫針對新車及使用中車輛進行污染排放管制。本計畫於新車管制部份,主要是配合法令執行新車抽驗測試工作,以確保新車出廠之品質一致性,本年度完成執行21家車廠新車抽驗及各項品質管制查核等工作,共計抽驗39車次重型柴油車(黑煙)及21車次輕型柴油車(污染及黑煙)抽驗,其中1車型OBD斷線不合格(待複測),其餘驗證符合排放標準。另針對排放品質變動率高及污染偏高車型,後續加強新車抽驗與列入使用中車輛召回調查重點對象;而在使用中車輛管制部份,完成修訂「重型柴油車輛SCR污染元件有效運作稽查操作指引」並辦理3場次稽查教育訓練(OBD斷線測試),培育我國SCR稽查專業人員共155人次,精進柴油車使用中管理機制。另以OBD斷線模擬污染元件失效作法,完成OBD診斷與遠端傳輸驗證可行性,同時參考歐美OBD I/M定檢制度、遠端監控發展應用趨勢,建議短期透過SCR改裝稽查累積OBD檢測經驗,中長期推動OBD定檢制度,以作為五期以後新型式使用中柴油車污染管制措施。此外,協助柴審辦法修訂作業,增訂輕柴少量車型管理制度,簡化該車輛種類排氣審驗認證程序,並輔以加強新車抽驗,以同時維持彈性管理及管制品質;另考量肺炎疫情影響,延長五期輕型車輛既有車型生產/進口期程,減少產業衝擊。另僅考慮政府部門的花費成本分析執行管制措施(如新車抽驗、召回改正等), CO的減量成本約3.9仟元/噸,HC的減量成本約15.8仟元/噸,NOx的減量成本約2.3仟元/噸,PM的減量成本約41.6仟元/噸,顯示NOx減量具有最高經濟成本效益,主要受排放總量及排放標準加嚴幅度較高所致。
中文關鍵字 新車抽驗、選擇性還原觸媒系統、遙測

基本資訊

專案計畫編號 經費年度 109 計畫經費 7920 千元
專案開始日期 2020/06/09 專案結束日期 2020/12/31 專案主持人 顧詠元
主辦單位 空保處 承辦人 李璦秀 執行單位 財團法人車輛研究測試中心

成果下載

類型 檔名 檔案大小 說明
期末報告 109年度柴油引擎汽車新車抽驗及先進污染管制應用研究專案工作計畫(含附件).pdf 63MB 期末報告

Implementation Project For New Diesel Vehicle Model Conformity Of Production And Apply Research Of Advanced Emission Administration.

英文摘要 According to the monthly statistical report from Ministry of Transport in October 2020, there are around eight hundred and fifty thousand diesel vehicles in Taiwan. Emission control measures on diesel vehicle during its useful life are authority’s key tasks. Thus, the Environmental Protection Administration in Taiwan launched the Air Pollution Control Act and several emission control policies of new vehicles and of in-use vehicles to protect the air quality. In this project, two objectives have been reached. The first one is to assist Taiwan EPA on new type of vehicles emission control which is new vehicle random check to ensure the emission quality consistency. 39 heavy duty vehicles and 21 light duty vehicles (from 21manufacturers) have been conducted the inspection, one of the tested vehicles does not comply with the requirements of OBD disconnection, and the confirmed test will be conducted soon to determine the final decision. Those vehicles with higher emission trends or not in consistent will be suggested to do in-use conformity check later on. The second one is focused on in-use vehicles, 155 inspectors from local environmental agencies have attended 3 training workshops regard Selective Catalytic Reduction (SCR) system tampering inspection. By disconnection certain components on vehicle to simulate failures, the feasibility of introduction of remote OBD technologies is done as well. Besides, take the USA and EU I/M program, SCR tampering inspection procedure and development of remote transmitting on-board diagnostics (OBD) information technology as references, accumulating experience of SCR tampering inspection to fulfill the long term goal, which is to apply the periodical inspection on in-use vehicle with OBD system to strength the emission control measures. Furthermore, the new requirements regarding simplifying type approval procedure but enhancing its conformity of the production and inspection of vehicle quality control for small volume manufacturers on new type vehicle inspections have been added in “Regulations Governing Issuance, Revocation, and Cancellation of Emissions Certificate of Conformity for Diesel and Alternative Clean Fuel Engine Vehicles” ; due to the pandemic, the timetable for existing engines and vehicle with emission standard of 2012 and 2015 is extended for one more year to avoid the impact on industries. Taking capital expense of EPA to do the cost analysis of implementing control measures (such as the conformity of the production and inspection of vehicle quality control, in-use recall inspection, etc.), the reduction cost of CO is 3.9 thousand TWD per ton; of HC is 15.8 thousand TWD per ton; of NOx is 2.3 thousand TWD per ton and of PM is 41.6 thousand TWD per ton, which shows that reduction of NOx is the most cost-effective due to the stricter emission standard of NOx has been applied.
英文關鍵字 New vehicle random check, Selective Catalytic Reduction, Remote Sensing