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In relation to this article, we declare that there is no conflict of interest.
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Received February 21, 2008
Accepted April 7, 2008
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모델링 기법을 이용한 하수처리 공정 설계와 환경성 및 경제성 평가

Design and Environmental/Economic Performance Evaluation of Wastewater Treatment Plants Using Modeling Methodology

경희대학교 환경응용화학대학 그린에너지센터/환경연구센터, 446-701 경기도 용인시 기흥구 서천동 1
College of Environmental and Applied Chemistry, Green Energy Center/Center for Environmental Studies, Kyung Hee University, Seocheon-dong 1,Giheung-gu, Yongin-Si, Gyeonggi-Do 446-701, Korea
Korean Chemical Engineering Research, June 2008, 46(3), 610-618(9), NONE Epub 7 July 2008
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Abstract

실제 하수 처리 시스템에서 유입조건, 공법, 다양한 운전조건과 복잡한 인자에 대하여 실험을 통하여 많은 처리공법을 비교하고 각 공정별 최적조건을 찾는 것은 쉽지 않은 일이며, 많은 비용과 시간을 필요로 한다. 본 연구에서는 하수 처리 시스템의 주요 생물학적 하수처리 공정인 A2O(혐기/무산소/호기), Bardenpho(4단계), VIP(Virginia Initiative Plant), UCT(University of Cape Town) 공정의 활성오니공정모델을 이용한 모델링을 수행하고, 이를 바탕으로 공법별 환경성과 경제성 평가의 비교 분석을 수행하였다. 이를 위해 다양한 하수처리 공정의 처리 효율을 비교하고 새로운 지표로 나타낼 수 있는 환경성 평가 기준과 동시에 비용 산출을 고려한 평가 지표를 제시하였다. 제시된 지표를 바탕으로 통해 각 공정 최적화와 유입조건에 따른 고도처리공정의 공법 선정에 유용하게 쓰일 수 있음을 보였다. 또한 유입 유량과 호기조 부피의 변화에 따른 경제성과 환경성 지표의 변화를 파악하고, 나아가 다양한 운전 조건하에서의 최적지표를 예측할 수 있었다.
It is not easy to compare the treatment processes and find an optimum operating condition by the experiments due to influent conditions, treatment processes, various operational conditions and complex factors in real wastewater treatment system and also need a lot of time and costs. In this paper, the activated sludge models are applied to four principal biological wastewater treatment processes, A2O(anaerobic/anoxic/oxic process), Bardenpho(4 steps), VIP(Virginia Initiative Plant) and UCT(University of Cape Town), and are used to compare their environmental and economic assessment for four key processes. In order to evaluate each processes, a new assessment index which can compare the efficiency of treatment performances in various processes is proposed, which considers both environmental and economic cost. It shows that the proposed index can be used to select the optimum processes among the candidate treatment processes as well as to find the optimum condition in each process. And it can find the change of economic and environmental index under the changes of influent flowrate and aerobic reaction size and predict the optimum index under various operation conditions.

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