Water Digital Twin for High-tech Electronics Industrial Wastewater Treatment System (II): e-ASM Calibration, Effluent Prediction, Process selection, and Design 


Vol. 28,  No. 1, pp. 79-93, Mar.  2022
10.7464/ksct.2022.28.1.79


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  Abstract

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 TMAH influent could be 98% removed when the HRT o f 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.

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  Cite this article

[IEEE Style]

H. SK, J. CH, L. NH, S. YR, W. TY, K. JI, Y. CK, "Water Digital Twin for High-tech Electronics Industrial Wastewater Treatment System (II): e-ASM Calibration, Effluent Prediction, Process selection, and Design," Clean Technology, vol. 28, no. 1, pp. 79-93, 2022. DOI: 10.7464/ksct.2022.28.1.79.

[ACM Style]

Heo SK, Jeong CH, Lee NH, Shim YR, Woo TY, Kim JI, and Yoo CK. 2022. Water Digital Twin for High-tech Electronics Industrial Wastewater Treatment System (II): e-ASM Calibration, Effluent Prediction, Process selection, and Design. Clean Technology, 28, 1, (2022), 79-93. DOI: 10.7464/ksct.2022.28.1.79.