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Integrated Evaluation of Advanced Activated Sludge Processes Based on Mathematical Model and Fuzzy Inference  

Kang, Dong-Wan (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Hyo-Su (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Ye-Jin (Department of Civil and Environmental Engineering, Pusan National University)
Choi, Su-Jung (Department of Civil and Environmental Engineering, Pusan National University)
Cha, Jae-Hwan (Department of Civil and Environmental Engineering, Pusan National University)
Kim, Chan-Won (Department of Civil and Environmental Engineering, Pusan National University)
Publication Information
Journal of Korean Society of Environmental Engineers / v.32, no.1, 2010 , pp. 97-104 More about this Journal
Abstract
At present, the biological nutrient removal (BNR) process for removal of nitrogen and phosphorus is being constructing to keep pace with the reinforced standard of effluent quality and the traditional activated sludge process of preexistence is being promoting to retrofit. At the most case of retrofitting, processes are subjected to be under consideration as alternative BNR process for retrofitting. However, process evaluation methods are restricted to compare only treatment efficiency. Therefore, when BNR process apply, process evaluation was needed various method for treatment efficiency as well as sludge production and aeration cost, and all. In this study, the evaluation method of alternative process was suggested for the case for retrofitting S wastewater treatment plant which has been operated the standard activated sludge process. Three BNR processes for evaluation of proper alternatative process were selected and evaluated with suggested method. The selected $A^2$/O, VIP and DNR processes were evaluated using the mathematical model which is time and cost effective as well as gathered objective evaluation criteria. The evaluation between 5 individual criteria was possible including sludge production and energy efficiency as well as treatment performance. The objective final decision method for selection of optimal process was established through the fuzzy inference.
Keywords
Activated Sludge Models; Fuzzy inference; Simulation; Performance Criteria; Process Evaluation;
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Times Cited By KSCI : 1  (Citation Analysis)
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