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Membrane Water Treatment Volume 9, Number 3, May 2018 , pages 155-162 DOI: https://doi.org/10.12989/mwt.2018.9.3.155 |
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Development of a WWTP influent characterization method for an activated sludge model using an optimization algorithm |
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Kwangtae You, Jongrack Kim, Gijung Pak, Zuwhan Yun and Hyunook Kim
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| Abstract | ||
| Process modeling with activated sludge models (ASMs) is useful for the design and operational improvement of biological nutrient removal (BNR) processes. Effective utilization of ASMs requires the influent fraction analysis (IFA) of the wastewater treatment plant (WWTP). However, this is difficult due to the time and cost involved in the design and operation steps, thereby declining the simulation reliability. Harmony Search (HS) algorithm was utilized herein to determine the relationships between composite variables and state variables of the model IWA ASM1. Influent fraction analysis was used in estimating fractions of the state variables of the WWTP influent and its application to 9 wastewater treatment processes in South Korea. The results of influent Ss and Xs+XBH, which are the most sensitive variables for design of activated sludge process, are estimated within the error ranges of 8.9-14.2%, and 3.8-6.4%, respectively. Utilizing the chemical oxygen demand (COD) fraction analysis for influent wastewater, it was possible to predict the concentrations of treated organic matter and nitrogen in 9 full scale BNR processes with high accuracy. In addition, the results of daily influent fraction analysis (D-IFA) method were superior to those of the constant influent fraction analysis (C-IFA) method. | ||
| Key Words | ||
| ASMs; COD; influent fraction analyzer (IFA); Harmony Search (HS); optimization algorithm; WWTPs | ||
| Address | ||
| Kwangtae You, Jongrack Kim, Gijung Pak: UnU Inc., Guro-gu, Seoul 08390, Republic of Korea Zuwhan Yun: Department of Environmental Engineering, Korea University, Sejong 30019, Republic of Korea Hyunook Kim: Department of Energy and Environmental System Engineering, University of Seoul, Seoul 02504, Republic of Korea | ||