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Simulation of sludge blanket height in clarifiers

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【作者】 周振吴志超王志伟顾国维

【Author】 ZHOU Zhen1,2,WU Zhi-chao2,WANG Zhi-wei2,GU Guo-wei2,1.School of Energy and Environmental Engineering,Shanghai University of Electric Power,Shanghai 200090,P.R.China 2.College of Environmental Science and Engineering,Tongji University,Shanghai 200092,P.R.China

【机构】 School of Energy and Environmental Engineering, Shanghai University of Electric PowerCollege of Environmental Science and Engineering, Tongji University

【摘要】 Sludge blanket height(SBH) is an important parameter in the clarifier design,operation and control.Based on an overview and classification of SBH algorithms,a modified SBH algorithm is proposed by incorporating a threshold concentration limit into a relative concentration sharp change algorithm to eliminate the disturbance of compression interfaces on the correct simulation of SBH.Pilot-scale test data are adopted to compare reliability of three SBH algorithms reported in literature and the modified SBH algorithm developed in this paper.Calculated results demonstrate that the three SBH algorithms give results with large deviation(>50%) from measured SBH,especially under low solid flux conditions.The modified algorithm is computationally efficient and reliable in matching the measured data.It is incorporated into a onedimensional clarifier model for stable simulation of pilot-scale experimental clarifier data and into dynamic simulation of a full-scale wastewater treatment plant(WWTP) clarifier data.

【Abstract】 Sludge blanket height(SBH) is an important parameter in the clarifier design,operation and control.Based on an overview and classification of SBH algorithms,a modified SBH algorithm is proposed by incorporating a threshold concentration limit into a relative concentration sharp change algorithm to eliminate the disturbance of compression interfaces on the correct simulation of SBH.Pilot-scale test data are adopted to compare reliability of three SBH algorithms reported in literature and the modified SBH algorithm developed in this paper.Calculated results demonstrate that the three SBH algorithms give results with large deviation(>50%) from measured SBH,especially under low solid flux conditions.The modified algorithm is computationally efficient and reliable in matching the measured data.It is incorporated into a onedimensional clarifier model for stable simulation of pilot-scale experimental clarifier data and into dynamic simulation of a full-scale wastewater treatment plant(WWTP) clarifier data.

【基金】 supported by the National Natural Science Foundation of China (Grant No.501380107)
  • 【文献出处】 Journal of Shanghai University(English Edition) ,上海大学学报(英文版) , 编辑部邮箱 ,2009年04期
  • 【分类号】X703
  • 【下载频次】32
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