| 摘要: | 因捷運站周遭地區人口快速遽增，A污水處理廠之污水量也快速增加，以及因應政府日趨嚴格的放流水標準，因此對於污水處理廠的優化勢在必行，本研究利用GPS-X水質模擬軟體，深入分析和優化A污水處理廠的操作參數，以減少污水處理廠的機電設備能耗且能符合放流水標準為目標。
以A污水處理廠2024年11月至2025年3月(冬季)之平均進出流水量水質作為GPS-X模型的校正資料，經由模擬至穩態(steady state)後進行動態模擬，可代表模擬出污水處理廠操作現況，接者輸入2024年6月至2024年10月(夏季)之平均進出流水量水質及經溫度校正的動力參數作為驗證模型資料，以確保模型的穩定性與正確性。模型訂定後，本研究分析兩種情境之模擬結果，分別為(A)以RSM-CCD作為前期篩選工具，並在固定條件下，比較生物處理系統各池槽數量(缺氧池、好氧池、MBR池)之模擬，經由最佳化分析，此情境確立一套最佳池槽配置策略，最終建議之配置為2池缺氧池（Anoxic）、3池好氧池（Aerobic）與3列MBR池，大幅簡化了池槽設計，同時使放流水質符合法規標準；(B)智能化操控曝氣風量，係依實際各時段水量需求進行曝氣，以確定最佳化的操作參數，可有效避免過度曝氣，減少不必要之能耗。綜上情境最佳化的操作參數，藉以分析再生水廠的處理效能及能耗，這些參數在保證放流水質達標的同時，與原始配置相較下，最佳化配置顯著降低10 %的能源消耗。
本研究利用GPS-X水質模擬軟體進行模擬優化，是提升污水處理廠運轉效率的一種有效方法，可以為實際操作提供有價值的參考依據。
;Due to the rapid population growth in areas surrounding the metro station, the influent flow rate to A Wastewater Treatment Plant has increased significantly. In addition, increasingly stringent effluent discharge standards imposed by the government have made the optimization of wastewater treatment plant operations imperative. This study employs the GPS-X process simulation software to comprehensively analyze and optimize the operational parameters of A WWTP, with the objectives of reducing electromechanical energy consumption while ensuring compliance with effluent standards.
The GPS-X model was calibrated using the average influent and effluent flow rates and water quality data collected during the winter period from November 2024 to March 2025. After reaching steady-state conditions, dynamic simulations were conducted to represent the actual operational conditions of the WWTP. Subsequently, the model was validated using average influent and effluent data from the summer period (June 2024 to October 2024), together with temperature-corrected kinetic parameters, to ensure model stability and reliability. After model establishment, two optimization scenarios were evaluated. Scenario (A) employed Response Surface Methodology with Central Composite Design (RSM-CCD) as a preliminary screening tool to compare different configurations of the biological treatment system, including the number of anoxic tanks, aerobic tanks, and membrane bioreactor (MBR) units under fixed operating conditions. Through optimization analysis, an optimal tank configuration strategy was identified, consisting of two anoxic tanks, three aerobic tanks, and three MBR trains. This configuration significantly simplified the tank design while ensuring that effluent quality met regulatory standards. Scenario (B) focused on intelligent control of aeration airflow based on real-time influent flow variations to determine optimal operational parameters, thereby avoiding excessive aeration and reducing unnecessary energy consumption. Based on the optimized parameters derived from both scenarios, the treatment performance and energy consumption of the reclaimed water plant were further analyzed. Compared with the original configuration, the optimized operational strategy achieved compliance with effluent standards while reducing overall energy consumption by approximately 10%.
Overall, this study demonstrates that simulation-based optimization using GPS-X is an effective approach for improving the operational efficiency of wastewater treatment plants and provides valuable insights for practical plant operation and management. |
