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生物滤池工艺的数值模拟与运行优化
引用本文:邹宗森,施汉昌,陈向强,谢小青.生物滤池工艺的数值模拟与运行优化[J].环境科学,2014,35(12):4627-4635.
作者姓名:邹宗森  施汉昌  陈向强  谢小青
作者单位:1. 清华大学环境学 院,环境模拟与污染控制国家重点联合实验 室,北京 100084
2. 厦门水务集团有限公 司,厦门,361008
基金项目:国家高技术研究发展计划(863)项目,国家水体污染控制与治理科技重大专项
摘    要:以筼筜污水处理厂生物滤池工艺(DNBF+BAF)为研究对象,应用Bio Win软件,构建该工艺的Bio Win模型,基于2013年9月和10月的实际运行数据,结合两种灵敏度分析方法,对Bio Win模型进行校正.结果表明,校正模型可对DNBF+BAF工艺进行有效模拟,且对该工艺的Bio Win模拟结果影响最为显著的3类参数为:与生物膜有关的参数、与异养菌(OHOs)有关的参数和曝气参数.然后应用校正模型模拟该工艺在不同工况条件下的运行结果,对其进行工艺优化.结果表明:1一级B排放标准的最佳运行条件为:回流比=50%,取消甲醇投加,此时进水C/N=4.43;2一级A排放标准的最佳运行条件为:回流比=50%,投加甲醇后的进水COD=155 mg·L-1,此时进水C/N=5.10.

关 键 词:生物滤池  数值模拟  灵敏度分析  模型校正  模型验证  运行优化
收稿时间:2014/5/20 0:00:00
修稿时间:2014/7/28 0:00:00

Numerical Simulation and Operation Optimization of Biological Filter
ZOU Zong-sen,SHI Han-chang,CHEN Xiang-qiang and XIE Xiao-qing.Numerical Simulation and Operation Optimization of Biological Filter[J].Chinese Journal of Environmental Science,2014,35(12):4627-4635.
Authors:ZOU Zong-sen  SHI Han-chang  CHEN Xiang-qiang and XIE Xiao-qing
Institution:State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China;State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China;Xiamen Water Company Limited, Xiamen 361008, China;Xiamen Water Company Limited, Xiamen 361008, China
Abstract:BioWin software and two sensitivity analysis methods were used to simulate the Denitrification Biological Filter (DNBF)+Biological Aerated Filter (BAF) process in Yuandang Wastewater Treatment Plant. Based on the BioWin model of DNBF+BAF process, the operation data of September 2013 were used for sensitivity analysis and model calibration, and the operation data of October 2013 were used for model validation. The results indicated that the calibrated model could accurately simulate practical DNBF+BAF processes, and the most sensitive parameters were the parameters related to biofilm, OHOs and aeration. After the validation and calibration of model, it was used for process optimization with simulating operation results under different conditions. The results showed that, the best operation condition for discharge standard B was: reflux ratio=50%, ceasing methanol addition, influent C/N=4.43; while the best operation condition for discharge standard A was: reflux ratio=50%, influent COD=155mg·L-1 after methanol addition, influent C/N=5.10.
Keywords:biological filter  numerical simulation  sensitivity analysis  model calibration  model validation  operation optimization
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