活性污泥法污水处理厂的运行模拟

结合ASM1和二沉池模型组成活性污泥模拟系统,将某污水处理厂的常规检测数据转化为活性污泥系统模型所需的组分数据,然后调整模型参数,使污水处理厂出水指标最接近于污水处理厂实际数据,从而确定适合该污水处理厂的模型参数,最后对该污水处理厂的工艺参数进行了模拟改造。     

基于优化算法对活性污泥数学模型稳态仿真

活性污泥数学模型No.1(ASM1)涉及的参数多,而且数学模型是非线性的,求解困难.采用非线性优化的方法仿真ASM1,把仿真结果和基准值做了比较.仿真结果证明非线性优化仿真方法可行.     

活性污泥数学模型在污水处理中的应用研究

简要介绍了IWA专家组提出的4个活性污泥数学模型:ASM1、ASM2、ASM2D和ASM3。从污水处理工艺的改造、优化运行和工艺研究三个方面,综述了ASMs系列模型在国内外的应用状况。     

呼吸计量法在活性污泥系统废水特性测定中的应用

活性污泥中微生物的呼吸作用直接与废水中基质的去除以及微生物的生长密切相关。根据活性污泥工艺中污水水质对微生物呼吸作用的影响，阐述了呼吸计量法在活性污泥1号模型（ASM1）的基本组分S、Xs、XBH和XBA测定中的应用，并对呼吸计量法在活性污泥系统进水的毒性预警和保护方面的作用进行了分析。     

印染综合废水异养菌产率系数的测定

指出应用ASM1模拟活性污泥系统时，对于特定的废水及其处理工艺，需要实测异养菌产率系数YH。介绍了YH。的两种测试方法：间歇活性污泥法和间歇呼吸计量法。分别以醋酸钠和实际废水为底物，应用间歇呼吸计量法，测定印染综合废水处理厂的异养菌产率系数，最终结果为0．65，低于ASM1模型中城市污水异养菌产率系数的推荐值0．67。     

污水处理厂活性污泥硝化作用的计算机模拟

将活性污泥1号数学模型(ASM1)进行简化，根据污水处理厂实测数据调整参数值，用数值模拟方法使用计算机模拟曝气池内铵盐、亚硝酸盐和硝酸盐在流程上的变化。结果证明，调整后的参数和简化模型适用于该污水处理厂。     

ASM1在污水生物处理中的应用与研究

采用以IWA的活性污泥数学模型1号模型(ASM1)为平台开发的污水处理仿真程序模拟城市生活污水处理工艺,其出水结果与实测数值的误差小于10%,说明活性污泥数学模型能较好地反映污水处理厂的实际运行状况,基于ASM1的软件可用于模拟污水处理、预测出水水质及作辅助工艺设计的工具。     

印染废水异养菌产率系数的测定

某印染化工混合废水采用厌氧-好氧-混凝处理工艺,应用活性污泥1号模型(ASM1)模拟该废水生物处理过程。采用间歇式呼吸计量法,测得该废水的异养菌产率系数为0.65,此值不同于ASM1号模型中推荐的城市污水异养菌产率系数的典型值0.67。     

异养菌产率系数的测定研究

在活性污泥1号模型(ASM1)的基础上,采用间歇式呼吸计量法,在不同的F/M条件下(控制在0.03~0.05),分别测定了生物絮凝-再生工艺中的再生池污泥、好氧颗粒污泥、氧化沟污泥中的异养菌产率系数YH。结果显示,3种污泥异养菌产率系数分别为0.71、0.58、0.68g[COD]/g[COD]。测定结果与ASM1号模型中推荐的异氧茵产率系数的缺省值0.67g[COD]/g[COD]存在差异,并对差异的原因进行了分析。     

基于混合逻辑动态法的污水处理除氮过程的优化控制

应用混合逻辑动态系统法（MLD）,对活性污泥1号模型（ASM1）进行了简化,利用有关活性污泥法的专家经验,建立了连续进水间歇曝气活性污泥法除氮动态模型.再采用预测控制的方法对该过程进行优化控制,通过仿真结果可知：将MLD法应用到活性污泥法建模和优化控制中,可以更加深入地挖掘相关的专家经验知识,并将这些专家经验知识和连续变量模型相结合,使模型更加精确,控制和优化的效果更好.为污水处理领域研究提供了一条新的途径.     

Use of activate sludge model no. 3 and Bio-P module for simulating five-stage step-feed enhanced biological phosphorous removal process

The ASM3 with EAWAG Bio-P Module (ASM3+P) was used for simulating a five-stage step-feed Enhanced Biological Phosphorous Removal (fsEBPR) process and its applicability was compared with the ASM2d. The fsEBPR process was predicted to achieve effective nitrogen and phosphorus removal from the wastewater even with low C/N and C/P ratios without additional carbon sources. Application of the ASM3+P on this configuration will be an ample chance for expanding the new models in the activated sludge process. Sensitivity analysis and parameter estimation were conducted with the ASM2d and the ASM3+P prior to model application so that calibration of the models could focus only on the sensitive parameters. The ASM2d was less successful for predicting the process behavior. Moreover, the ASM2d required 6 times more computation time than that for the AMS3+P due to its decay-regeneration model structure. To confirm the applicability of parameters determined from the pilot-scale reactor operating results, those were tested on the field data without further correction. Only the ASM3+P successfully predicted nitrogen and phosphate variations in the full-scale plants. Overall examination of simulation results using the pilot and full-scale data has led to the conclusion that the ASM3+P is better than the ASM2d for simulating fsEBPR processes.     

A systematic model calibration methodology based on multiple errors minimization method for the optimal parameter estimation of ASM1

A one-step model calibration methodology of the activated sludge model no. 1 (ASM1) of a full-scale wastewater treatment plant (WWTP) is proposed. First, the key parameters among all parameters of the ASM1 model are selected by sensitivity analysis based on the effluent quality index. Second, multiple response surface methodology (MRSM) is conducted to find the optimal parameter values of the ASM1 model. Lastly, an MRSM analysis is conducted in order to determine the optimal parameter values. This study was conducted in order to develop a new systematic model calibration methodology that can greatly help the modeler to find the optimal solution by selecting the key parameters and optimizing the parameters. In two case studies of simple activated sludge process and a full-scale plant, the experimental results indicated that the calibrated models can improve the prediction quality of the ASM model and the efficiency of the modeling.     

活性污泥模型的发展及在SBR工艺中的应用

概述了活性污泥模型（ASM）的发展，对比了ASM各人模型对污水处理反应过程的理论描述。介绍了ASM在SBR工艺中的应用，这些研究表明，应用ASM进行系统的模拟和状态的调整可以辅助SBR工艺的设计，提高污水处理系统的处理效果。但是，由于模型本身和我国实际情况之间存在的问题，应用这些模型仍然有很多困难。     

A thermodynamic analysis of the activated sludge process: Application to soybean wastewater treatment in a sequencing batch reactor

A bioenergetic methodology was integrated with a modified activated sludge model No.1 (ASM1) to analyze the activated sludge process, with the treatment of soybean‐processing wastewater as an example. With the bioenergetic methodology established by McCarty and coworkers, the microbial yield was predicted and the overall stoichiometrics for biological reactions involving the key chemical and biological species in activated sludge were established. These obtained parameters were related to the ASM1 model, which was modified after coupling the biological reactions in activated sludge with electron balances. This approach was able to approximately describe the treatment of soybean wastewater by activated sludge in a sequencing batch reactor in terms of substrate utilization, biomass growth, and the elector acceptor consumption. Such an attempt provides useful information for accurate modeling of the complex activated sludge process. © 2009 American Institute of Chemical Engineers AIChE J, 2009     

活性污泥数学模型参数确定的应用研究

基于国际水协会（IWAQ）提出的活性污染泥数学模型（ASMI）,文章对活性污泥法数学模型参数确定方法进行了研究,主要探讨了遗传算法在数学模型参数确定中的应用。并运用Matlab软件编写遗传算法程序确定SFBR简化模型参数,最后通过计算值与实验值的比较对遗传算法搜索结果进行检验。模拟结果表明,经遗传算法确定的参数具有较好的准确性。