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http://dx.doi.org/10.7464/ksct.2022.28.1.79

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

Heo, SungKu (Department. of Environmental Science and Engineering College of Engineering, Kyung Hee University)
Jeong, Chanhyeok (Department. of Environmental Science and Engineering College of Engineering, Kyung Hee University)
Lee, Nahui (Department. of Environmental Science and Engineering College of Engineering, Kyung Hee University)
Shim, Yerim (Department. of Environmental Science and Engineering College of Engineering, Kyung Hee University)
Woo, TaeYong (Integrated engineering, Department. of Environmental Science and Engineering College of Engineering, Kyung Hee University)
Kim, JeongIn (Integrated engineering, Department. of Environmental Science and Engineering College of Engineering, Kyung Hee University)
Yoo, ChangKyoo (Department. of Environmental Science and Engineering College of Engineering, Kyung Hee University)
Publication Information
Clean Technology / v.28, no.1, 2022 , pp. 79-93 More about this Journal
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 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.
Keywords
Water Digital Twin; High-tech electronics industrial wastewater; Model calibration; Effluent quality prediction; Process selection;
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1 Raghuvanshi, S., and Gupta, S., "Growth Kinetics of Acclimated Mixed Culture for Degradation of Isopropyl Alcohol (IPA)," J. Biotechnol. Biomater., No. 13, 1-7 (2013).
2 Wu, Y. J., Irmayani, L, Setiyawan, A. A., and Whang, L. M., "Aerobic degradation of high tetramethylammonium hydroxide (TMAH) and its impacts on nitrification and microbial community," Chemosphere, 258, 1-7 (2020).
3 M. R. Hockenbury and C. P. L. Grady, "Inhibition of nitrification: effects of selected organic compounds," J. Water Pollut. Control Fed., 49(5), 768-777 (1977).
4 Weon, K. J., "A Study on the Pre-treatment of Biological Processes for High-concentration Semiconductor Cleaning Wastewater," Ph.D. Dissertation, Chungbuk National University, 55 (2018).
5 Park, M. S., Yoo, C. K., "Convergence of 4th industrial technology and water industry," J Korean Soc Environ Eng., 2 (2020).
6 Chen, T. K., Chen, J. N., Ni, C. H., Lin, G. T., and Chang, C. Y., "Application of a membrane bioreactor system for opto-electronic industrial wastewater treatment - A pilot study," Water Sci. Technol., 48(8), 195-202 (2003).   DOI
7 MICHELIS, I. D., RENZO, A. D., SARAULLO, M., and VEGLIO, F., "Kinetic Study of Aerobic Degradation of Tetramethylammonium Hydroxide (Tmah) Waste Produced in Electronic Industries," DEStech Trans. Environ. Energy Earth Sci., 27-32 (2017).
8 Oh, S. E., Chae, H. B., and Choo, T. H., "Study for Application of Acetic Acid to Substitute Methanol on Semiconductor Wastewater Treatment Process, Using GPS-X," J.of Korean Soc. Environ. Technol., 17(3), 181-190 (2016).
9 National Institute of Environmental Research, "Guidelines on Best Available Techniques for Environmental Pollution Prevention and Integrated Management in Semiconductor Manufacturing Industry," 177-261 (2020).
10 T. Fukushima, L. M. Whang, P. C. Chen, D. W. Putri, M. Y. Chang, Y. J. Wu and Y. C. Lee., "Linking TFT-LCD wastewater treatment performance to microbial population abundance of Hyphomicromium and Thiobacillusspp.," No. 141, 131-137 (2013).
11 Kang, C. K., "Technological consideration on the domestic production of high quality recycled semiconductor wastewater for industrial purpose," Ph.D. Dissertation, Youngnam university (2017).
12 Holmes E, Loo RL, Stamler J, Bictash M, Yap IKS, Chan Q, Ebbels T, De Iorio M, Brown I.J, Veselkov KA, Daviglus ML, Kesteloot H, Ueshima H, Zhao L, Nicholson JK, Elliott P. "Human metabolic phenotype diversity and its association with diet and blood pressure," Nature 453, 396-400 (2008).   DOI
13 Kim M. H., and Yoo, C. K., "A systematic process optimization method for advanced environmental process," 2008 Int. Conf. Control. Autom. Syst. ICCAS 2008, 2604-2609 (2008).
14 Whang, L. M., Wu, Y. J., Lee, Y. C., Chen, H. W., Fukushima, T., Chang, M. Y., Cheng, S. S., Hsu, S. F., Chang, C. H., Shen, W., Huang, C. K., Fu, R., and Chang, B., "Nitrification performance and microbial ecology of nitrifying bacteria in a full-scale membrane bioreactor treating TFT-LCD wastewater," Bioresour. Technol., 122, 70-77 (2012).   DOI
15 Lee, G. H., Hwangbo, S. H., and Yoo, C. K., "Fate analysis and impact assessment for vehicle Polycyclic Aromatic Hydrocarbons (PAHs) emitted from metropolitan city using multimedia fugacity model," Korean Chem. Eng. Res., 56(4), 479-495 (2018).
16 Lee, H. S., Kim, K. I., Heo, J., Kim, K. J., Kim, J. S., Lee, J. J., and Jung, I. H., "The Pilot Study Of Semiconductor Industrial Wastewater Treatment Using Membrane Bioreactor," J.KSWW & J. Korean Soc. Water Environ., 1-2 (2009).
17 Wu, Y. J., Whang, L. M., Huang, S. J., Yang, Y. F., Lei, C. N., and Cheng, S. S., "Evaluation of performance and microbial ecology of sequencing batch reactor and membrane bioreactor treating thin-film transistor liquid crystal display wastewater," Water Sci. Technol., 58(5), 1085-1093, (2008).   DOI
18 Kim, M. H., A. S. Rao, and Yoo, C. K., "Dual optimization strategy for n and p removal in a biological wastewater treatment plant," Ind. Eng. Chem. Res., 48(13), 6363-6371 (2009).   DOI
19 Oh, T. S., Kim, M. J., Lim, J. J., Kim, Y. S., and Yoo, C. K. "Estimate and Environmental Assessment of Greenhouse Gas(GHG) Emissions and Sludge Emissions in Wastewater Treatment Processes for Climate Change," Korean Chem. Eng. Res., 49(2), 187-194 (2011).   DOI
20 Fu, Z., Yang, F., An, Y. and Xue, Y. "Simultaneous nitrification and denitrification coupled with phosphorus removal in an modified anoxic / oxic-membrane bioreactor (A/O-MBR )," Biochem. Eng. J., 43, 191-196 (2009)   DOI
21 B. Liu, K. Yoshinaga, J. Wub, W. Chen, M. Terashima, R. Goel, D. Pangallo and H. Yasui., "Kinetic analysis of biological degradation for tetramethylammonium hydroxide (TMAH) in the anaerobic activated sludge system at ambient temperature," Biochem. Eng. J., 114, 42-49 (2016).   DOI
22 Phan, H. V., Hai, F. I., Ren, Zhang., Kang, Jinguo., Price, W. E., and Nghiem, L. D. "Bacterial community dynamics in an anoxic-aerobic membrane bioreactor-Impact on Nutrient and Trace Organic Contaminant Removal," Fac. Eng. Inf. Sci. - Pap. Part A. 4972., 1-5 (2016).
23 Son, J. R., Lee, K. J., Kang, S., Kim, G., Yang, G. M., Mo, C. Y., Seo, Y., "Development of prediction Models for Nondestructive Measurement of Sugar Content in Sweet Persimmon," J. of Biosystens Eng., 34(3), 197-203 (2009).   DOI
24 Lee, S. J., Yoo, C. K., Choi, S. K., Chun, H. D., and Lee, I. B., "Modeling of Eco-Industrial Park (EIP) through Material Flow Analysis (MFA)", Korean Chem. Eng. Res., 44(6), 579-587 (2006).
25 Kwon, J. B., Lee, J. S., Lee, S. H., Jeon, C. H., and Kim, K. J., "Mutiresponse Optimization Through A New Desirablity Function Considering Process Parameter Fluctuation," Journal of The Korean Operations Research and Management Science Society, 39-44 (2004).
26 Jeong, I. J., "A Univariate Loss Function Approach to Multiple Response Surface Optimization: An Interactive Procedure-Based Weight Determination," Knowledge Management Review (KMR), 21(1), 27-40, (2020).   DOI
27 H. Cheng, C. Liu, Y. Lei, Y. Chiu, J. Mangalidan, C. Wu, Y. Wu and L. Whang, "Biological treatment of DMSO-containing wastewater from semiconductor industry under aerobic and methanogenic conditions," Chemosphere, 236, 124291 (2019).   DOI
28 Wu, Y. J., Whang, L. M., Huang, S. J., Yang, Y. F., Lei, C. N., and Cheng, S. S., "Evaluation of performance and microbial ecology of sequencing batch reactor and membrane bioreactor treating thin-film transistor liquid crystal display wastewater," 1085-1094 (2008).