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全耦合活性污泥模型(FCASM3)在A+A^2/O工艺污水处理厂中的数值模拟应用 被引量:6

The application of fully coupled activated sludge model No.3(FCASM3) in wastewater treatment plant
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摘要 基于FCASM3建立了杭州市某污水厂A+A^2/O工艺模型.首先测定该污水处理厂的进水水质组分,以及不同阶段污染物浓度的变化和活性污泥中微生物动力学参数;然后,利用该厂2017年上半年的运行数据对模型进行校核.校核结果显示,该模型能够很好地模拟出系统中各物质的转化情况.最后,利用校核完成的工艺模型对该污水厂的主要工艺参数,包括溶解氧、污泥回流比和混合液回流比,进行多因素正交模拟试验.试验结果表明,该污水处理厂的最佳运行工况为:当A+A^2/O系统的好氧池氧传输速率(Oxygen Transfer Coefficient,KLa)、污泥回流比和混合液回流比分别控制在2 h-1、75%及250%时,好氧池TN出水浓度下降1.28 mg·L^(-1),脱氮效率提高了15.91%,同时该厂污水处理能耗降低. Based on( fully coupled activated sludge model No. 3) FCASM3,an A + A2/O process model of a full-scale WWTP was established in this paper. Firstly,the influent components,variations of nutrients concentrations at different treatment stages,and the microbial kinetic parameters were measured. Then,the operation data of the first half of 2017 of the plant were used to calibrate the model. The calibration results showed that the model can well simulate the nutrient removal in the system. Finally,a multi factor orthogonal simulation experiment was carried out based on dissolved oxygen,sludge return rate and mixed liquid return rate to find out the optimal operational parameters. The simulation results showed that the optimal oxygen transmit velocity KLa,sludge return ratio and internal return ratio were 2 h-1,75% and 250%,respectively. The TN effluent concentration of the aerobic tank dropped by 1.28 mg·L^-1,the nitrogen removal efficiency increased by 15.91%,and energy consumption of the WWTP reduced simultaneously.
作者 孙培德 杨朋飞 楼菊青 王如意 马王钢 胡哲太 焦亮 林逸文 SUN Peide;YANG Pengfei;LOU Juqing;WANG Ruyi;MA Wanggang;HU Zhetai;JIAO Liang;LIN Yiwen(School of Environmental Science and Engineering,Zhejiang Gongshang University,Hangzhou 310012;Zhejiang HongBo Environmental Detection Co.,LTD,Hangzhou 310026)
出处 《环境科学学报》 CAS CSCD 北大核心 2018年第9期3561-3572,共12页 Acta Scientiae Circumstantiae
基金 浙江省重大科技专项(No.2014C03002) 国家自然科学基金青年基金(No.21606196)~~
关键词 FCASM3 A+A^2/O工艺 动力学参数 数值模拟 工艺参数优化 FCASM3 A +A^2/O processes kinetic parameters numerical simulation operational parameters optimization
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