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年度	112	專案性質	非實驗性質
專案類別	模場試驗	研究主題	整治
申請機構	崑山科技大學	申請系所	環境工程系
專案主持人	吳庭年	職等/職稱	教授
專案中文名稱	地下水氯苯污染之智能化整治系統開發
中文關鍵字	地下水整治，氯苯，雙相抽取，智能化，現地電解
專案英文名稱	Development of Intelligent Remediation System for the Cleanup of Chlorobenzene Contaminated Groundwater
英文關鍵字	Groundwater cleanup, Chlorobenzene, DPE, IOT, in-situ electrolysis
執行金額	2,742,000元
執行期間	2024/1/1 至 2025/12/31
計畫中文摘要	本模場試驗場址藉由染料光學影像探測技術發現有殘存氯苯溶劑相蓄積於現地環境中，土壤氯苯濃度高達300 mg/kg，污染深度約地表下8 m。場址地質屬坋土質黏土，為迅速降低污染程度，目前採行雙相抽取法(DPE)移除土壤及地下水中污染物，抽除井間距僅1.5 m。DPE系統為高耗能的整治設備，機械設備啟停做動階段最為耗電，且DPE系統同時抽取15至30口整治井無法效率化抽取污染物，因此DPE系統優化極為關鍵，尤其在淨零碳排的趨勢下，提升污染物抽除效率與降低整治系統耗電量更有迫切的需求。本研究主題為開發智能化地下水污染整治系統，第1年研究聚焦於雙相抽除系統之節能控制，於3處熱點位置佈設地下水pH、導電度、氧化還原電位及水位感測器，與DPE抽除管線匯流處與尾氣排放口位置安裝PID偵測器，並以4G網路傳輸至雲端即時數據平台，達成地下水水質與抽出氣體PID遠端監測的功能。DPE系統優化調整最佳真空馬達運轉頻率為50 HZ，抽取地下水最佳的DPE運轉模式為「抽取5分鐘/停歇10分鐘」，平均抽水量為2 m3/hr，抽出水氯苯濃度為1.98 mg/L，液相污染移除率為3.9 g/hr，每小時耗電量為23.2 kWh/hr，每噸抽水單位耗電量為11.8 kWh/m3，DPE系統優化調整後之污染移除率提升95%，節電率可達48%。
計畫英文摘要	In the pilot test site, the residual phase of chlorobenzene was found in the subsurface through Dye-OIP investigation. Chlorobenzene-contaminated soil reached 8 m deep below ground with the highest concentration around 300 mg/kg. Geological formation mainly belongs to silty clay. The dual phase extraction (DPE) method was selected to remove contaminants within soil and groundwater, and the spacing between the extraction wells is only 1.5 m for a rapid decrease of the contaminant extent. The DPE system is a high-energy-consuming remediation equipment, and the most energy consuming period is in the start-up and stop phases. Moreover, the DPE system seems difficult to efficiently extract contaminants from 15 to 30 remediation wells at the same time. Under the trend of zero carbon emission, there is an urgent need to optimize the DPE system for improving extraction efficiency and minimizing energy consumption. The study objective is to develop an intelligent groundwater cleanup system, and the research is focused on the energy-saving control of the DPE system in the first year. The pH sensors, EC sensors, ORP sensors and water table sensors were established at 3 hot spots. The fixed PID detectors were installed at DPE extract junction and the exhaust outlet. Collected monitoring data was transmitted to the cloud real-time data platform through the 4G network to perform remote monitoring of groundwater quality and PID detection of DPE extract. The optimal vacuum pumping frequency is 50 HZ, and the optimal DPE operation mode is "5 minutes’ pumping/10 minutes’ standby" for DPE extraction. Under the optimum DPE operation, the average pumping rate of 2 m3/hr and the extract chlorobenzene concentration of 1.98 mg/L resulted in a dissolved-phase removal rate of 3.9 g/hr. The average pumping rate of 2 m3/hr and the average electricity consumption of 23.2 kWh/hr resulted in a specific energy usage of 11.8 kWh/m3 under the optimum control. Consequently, the tuning of DPE operation improved a 95% increase of extract removal rate and saved a 48% decrease of electricity consumption.