[논문]첨단 전자산업 폐수처리시설의 Water Digital Twin(II): e-ASM 모델 보정, 수질 예측, 공정 선택과 설계

허성구; 정찬혁; 이나희; 심예림; 우태용; 김정인; 유창규

doi:10.7464/ksct.2022.28.1.79

첨단 전자산업 폐수처리시설의 Water Digital Twin(II): e-ASM 모델 보정, 수질 예측, 공정 선택과 설계
Water Digital Twin for High-tech Electronics Industrial Wastewater Treatment System (II): e-ASM Calibration, Effluent Prediction, Process selection, and Design 원문보기

청정기술 = Clean technology, v.28 no.1, 2022년, pp.79 - 93

허성구 (경희대학교 공과대학 환경학 및 환경공학과) , 정찬혁 (경희대학교 공과대학 환경학 및 환경공학과) , 이나희 (경희대학교 공과대학 환경학 및 환경공학과) , 심예림 (경희대학교 공과대학 환경학 및 환경공학과) , 우태용 (경희대학교 공과대학 환경학 및 환경공학과 융합공학전공) , 김정인 (경희대학교 공과대학 환경학 및 환경공학과 융합공학전공) , 유창규 (경희대학교 공과대학 환경학 및 환경공학과)

초록
AI-Helper

본 연구에서는 Part I에서 제안한 첨단 전자산업 폐수처리시설 특화 Water Digital Twin모델인 e-ASM을 이용하여 랩-파일럿 처리장 데이터를 바탕으로 모델 보정(Calibration), 유입 성상에 따른 제거 효율, 유출수 예측 및 최적 공법 선정을 수행하였다. 첨단 전자산업 폐수처리시설의 특화 모델링을 위하여, 민감도 분석을 통해 e-ASM 모델의 정합성과 상관성이 높은 동역학적 파라미터를 선정하였고, 다중반응표면분석법 (Multiple response surface methodology, MRS)을 이용하여 동역학적 파라미터를 보정하였다. e-ASM 모델의 보정 결과, Lab-scale, Pilot-scale 단위의 실험데이터와 90% 이상의 높은 정합성을 보였다. 그리고 4가지 유기폐수 처리처리공법인 MLE, A2/O, 4-stage MLE-MBR, Bardenpho-MBR을 제안한 Water Digital Twin으로 구현하여 유입 폐수의 성상별 운전조건에 따라 제거효율을 분석하였으며, Bardenpho-MBR이 C/N ratio 변화에서도 안정적으로 COD (Chemical oxygen demand)를 90% 이상 제거하며 높은 총 질소 제거 효율을 보였다. 그리고 유입 폐수의 조건별 Bardenpho-MBR공정의 수리학적 체류시간(Hydraulic retention time, HRT)이 3일 이상일 때 1,800 mg L-1의 고농도 TMAH 폐수를 98% 이상 제거할 수 있음을 확인할 수 있었다. 이와 같이, 본 연구에서 개발한 e-ASM은 전자산업 제조시설별, 유입 폐수의 성상별 특화 모델링을 통해 높은 정합성을 가진 전자산업 폐수처리공정의 Water Digital Twin를 구현할 수 있고, 최적운전, Water AI, 최적가용기법 선정 등의 응용 가능성을 바탕으로 지속 가능한 첨단전자 산업을 위해 활용될 수 있을 것으로 사료된다.

Abstract ▼ AI-Helper

In this study, an electronics industrial wastewater activated sludge model (e-ASM) to be used as a Water Digital Twin was calibrated based on real high-tech electronics industrial wastewater treatment measurements from lab-scale and pilot-scale reactors, and examined for its treatment performance, effluent quality prediction, and optimal process selection. For specialized modeling of a high-tech electronics industrial wastewater treatment system, the kinetic parameters of the e-ASM were identified by a sensitivity analysis and calibrated by the multiple response surface method (MRS). The calibrated e-ASM showed a high compatibility of more than 90% with the experimental data from the lab-scale and pilot-scale processes. Four electronics industrial wastewater treatment processes-MLE, A2/O, 4-stage MLE-MBR, and Bardenpo-MBR-were implemented with the proposed Water Digital Twin to compare their removal efficiencies according to various electronics industrial wastewater characteristics. Bardenpo-MBR stably removed more than 90% of the chemical oxygen demand (COD) and showed the highest nitrogen removal efficiency. Furthermore, a high concentration of 1,800 mg L-1 T MAH influent could be 98% removed when the HRT of the Bardenpho-MBR process was more than 3 days. Hence, it is expected that the e-ASM in this study can be used as a Water Digital Twin platform with high compatibility in a variety of situations, including plant optimization, Water AI, and the selection of best available technology (BAT) for a sustainable high-tech electronics industry.

주제어

표/그림 (13)

그림 Figure 1. Digital Twin implementation for high-tech electronics industrial wastewater treatment plant using e-ASM.
그림 Figure 2. The research framework of Water Digital Twin applications from model calibration to process selection.
그림 Figure 3. (a) Model calibration of e-ASM using sensitivity analysis and multiple response surface methodology (MRS) and (b) overall desirability Calculation of MRS [22,23]
표 Table 1. Design specification and operational conditions of Lab-scale processes [4,6,8,13]
표 Table 2. Design specification and operational condition of experimental references [14,15]
그림 Figure 4. Graphical representations of biological wastewater plant: (a) MLE, (b) A2/O, (c) MLE-MBR, and (d) Bardenpho-MBR.
그림 Figure 5. (a) Identification of key kinetic parameters in e-ASM for model compatibility using sensitivity analysis, and response surfaces for model calibration of e-ASM targeted to (b) NO₃,(c)NH₄,and(d)TMAHfromPilot-scaleprocess.
그림 Figure 6. Comparison of experimental results and calibrated e-ASM in Lab-scale processes: (a) anaerobic TMAH, (b) aerobic TMAH, (c) IPA, (d) DMSO.
표 Table 3. Model calibration of e-ASM in Lab-scale and Pilot-scale processes
그림 Figure 8. Sankey Diagram using the calibrated e-ASM for removal mechanism pathways of high-tech electronics industrial wastewater in Pilot-scale process.
그림 Figure 7. (a) Comparisons of calibrated e-ASM with the measured effluent data in a Pilot-scale electronics industrial wastewater treatment process, and temporal analysis for removal rate of (b) COD, (c) Nitrogen compounds, (d) TMAH, and (e) DMSO in calibrated e-ASM.
그림 Figure 9. Sensitivity analysis of removal efficiency for (a) effluent ammonia and (b) TN across the varying C/N ratios in influent, and (c) TMAH in effluent across varying TMAH concentration in influent.
그림 Figure 10. Sensitivity analysis for effluent quality of (a) TMAH across the HRT and (b) TN and TMAH across the extra carbon flowrate in Bardenpho-MBR.

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저자의 다른 논문 :

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