近年來因為環保意識抬頭,使得工廠所產生廢棄物(包含空氣、廢污水、廢棄物…等)經過處理後的排放標準日漸嚴苛。 本次研究的主題是以廢(污)水處理流程為前提,故選擇國內2座處理類似廢(污)水性質之污水處理廠,經由不同處理設備,處理廢(污)水後之放流水符合放流水標準。並由各單元設備所消耗之電能來分析,再由相關數據比對來研擬現場設備處理參數的控制,使得整體設備能發揮最大功效且使用最少的耗能,以達到「節能省碳」的效能。 經相關資料分析後,可以得知如污水處理廠處理程序為活性污泥處理方式,其整廠耗電量較高單元為曝氣池,依數值分析得知可在不影響整體處理效能下,藉由安裝其他輔助性設備變頻器加上適當控制使得整體節能效能提高,讓該單元耗電量大幅度降低,如本次探討的斗六工業區污水處理廠,全廠耗能在幾乎相同處理程序下經過加裝變頻器前、後,所展現的成果是平均每月減少80,894度的耗電量(已裝設前、後一年平均值計算)。 並可經過長期統計分析能源耗損結果、依照現場處理後放流水質或各單元處理效能分析之數據來作為後續使用電量預測及調度的管理,及增設整體能源管理系統藉由硬體設備、軟體設計控管及即時傳輸系統組成以達到更加有效率的節能成效。
In recent years, industrial wastes (flue gas, wastewater and solid wastes) have to meet stringent discharge standards after treatment due to increasing environmental protection awareness. In this study, under the context of wastewater treatment procedures, two domestic wastewater treatment plants treating stimulated wastewater were selected. After going through different treatment units, the discharge has met discharge standards. The electrical energy consumed by each unit was analyzed, and correlation data was used to stimulate the control of operating parameters in in-situ situations. This is to ensure the overall treatment unit can maximize its efficiency while minimizing its energy consumption, resulting in energy-saving and low-carbon efficacies. Analytical results showed that if conventional activated sludge treatment was used, the aeration tank had the highest energy consumption. According to data, if the overall treatment efficiency was not to be affected, auxiliary transformers with suitable measures can be installed to improve overall energy savings, decreasing energy consumptions for that unit. In the case study of Douliou Industrial Park Wastewater Treatment Plant, under same treatment procedures, the overall monthly energy consumption decreased 80,894 kWh following installations of transformers (calculated according to the annual average of pre and post-installation). Long-term statistical approaches were also used to analyze the energy consumption, in which the discharge qualities following treatment or the efficacy of each treatment unit can be used to forecast future energy consumptions and dispatch managements. The setup of an energy management system via hardware units, software design controls and real-time transmission systems can also achieve better energy-saving efficacies.