Cryptosporidium Log-inactivation with Ozone Using Effluent CT10, Geometric Mean CT10, Extended Integrated CT10 and Extended CSTR Calculations

The draft Long-Term 2 Enhanced Surface Water Treatment Rule (LT2ESWTR) contains Cryptosporidium log-inactivation CT tables (ozone-in-water concentration [residual], “C” times contact time, T). Depending on water temperature, Cryptosporidium CT values that are listed are 15 to 25 times greater than CT values for equivalent Giardia log-inactivation credit. The elevated operating dose required for Cryptosporidium log-inactivation credit has the potential to increase disinfection by-product (DBP) formation (e.g., bromate). Calculating CT value accurately will minimize ozone dose, which will decrease operating cost and lower DBP formation, and at the same time maintain disinfection protection through implementation of scientifically based safety factors. Various methods are available for calculating CT value. The method chosen depends largely on the available information concerning ozone residual characteristics and hydrodynamic features of the ozone contactor, plus local regulatory requirements. Four methods are discussed in this paper. Each method can be used to calculate Giardia, virus, and Cryptosporidium log-inactivation credit.     

ON THE ROBUST GLOBAL STABILIZATION OF nth-ORDER REACTIONS

In this paper, we employ a nonlinear adaptive mechanism to globally stabilize n^th-order reactions.     

THE “UCKRON-1” TEST PROBLEM FOR REACTION ENGINEERING MODELING

Testing kinetic models against a “true” and detailed kinetic expression was the aim of the Workshop on Kinetic Model Development at the Denver AIChE Meeting in August, 1983. For this purpose an artificial reaction mechanism was created, based on the known thermodynamics of the methanol synthesis as a framework. The kinetic rate laws, that were derived from this mechanism, were made thermodynamically consistent by achieving agreement between equilibrium constants calculated at various temperatures from the given, real original thermodynamic relationship and those calculated from the detailed reversible kinetic expressions.

Using the artificial kinetics as the "true" one, CSTR experiments were simulated. The results of a statistically designed set of experiments were published after 5% random error was added to the data. Participation was invited for all interested to correlate the data, develop kinetic models and to calculate the performance of the specified reactor.

The results of 19 submitted entries are summarized with the conclusion that the models had more differences than were expected, but their predictive values were not as different as was anticipated, if the extreme high production rates due to thermal runaways are not considered. This in turn points out the necessity to check models experimentally, in pilot plant, not only for predicted optimum, but also for calculated runaway conditions. Models which did not capture the true character of this reaction failed to predict the onset of runaway reactions.     

基于高速局域网的连续搅拌反应釜(CSTR)控制系统

提出基于客户－服务器模式的连续搅拌反应釜（CSTR）控制系统。系统充分利用网络设备和技术，扩大了实时控制设备的应用范围和资源利用率，方便了学生学习和巩固基本的控制理论和技术。本系统可提供的操作（控制策略）有PID控制和鲁棒控制，同时还提供传输可执行文件和反馈执行结果的功能，以便测试实验者自行编写的算法程序。     

活性污泥的连续流发酵产氢实验研究

采用好氧活性污泥为种泥,以连续流搅拌槽式反应器(CSTR)作为发酵生物制氢反应装置,对发酵法生物制氢系统的启动和运行进行了实验研究。反应器有效容积为10L,接种污泥取自哈尔滨啤酒厂有机废水好氧生物处理系统的二沉池。反应器在污泥接种量为6.09 g·L~(-1),进水有机物浓度2000 mg COD·L~(-1),pH 5～7,HRT 8 h和(35±1)℃的条件下启动,运行27 d后达到稳定的乙醇型发酵状态,最高产气速率和产氢速率分别达到10.1 L·d~(-1)和5.8 L·d~(-1)。在进水有机物浓度提高到4000 mg COD·L~(-1),其他控制条件不变的情况下,系统可在3 d内重新达到新的平衡,最高产气速率和产氢速率分别达到20.7 L·d~(-1)和10.8 L·d~(-1),而氢气含量和发酵类型未发生改变。     

AN EXOTHERMIC CONTINUOUS STIRRED TANK REACTOR IS FEEDBACK EQUIVALENT TO A LINEAR SYSTEM

This brief paper demonstrates the concept of linear feedback equivalence for an exothermic eontinu-ous stirred tank reactor with first order kinetics. Feedback control is achieved by finding a transformation for the nonlinear system which carries this system into a linear controllable system in Brunovsky canonical form. A linear state feedback controller is then designed which achieves control over a broad range of operating conditions. This example demonstrates how recent developments in nonlinear control theory can be applied to chemical systems without relying on the usual methods of local linearization.     

Adaptive neural network control for a class of continuous stirred tank reactor systems

In this paper, the control problem of continuous stirred tank reactors （CSTR） is studied. The considered CSTR are required to contain unknown functions and unknown dead zone input. An adaptive controller that uses the neural networks （NNs） is provided to solve the unknown terms. The proposed approach overcomes the effect of the dead zone input. The dead zone input in the systems is compensated for by introducing a new Lyapunov form and Young＇s inequality. The backstepping procedure is exploited to implement controller design with adaptation laws. The stability is analyzed using Lyapunov method. The performance is examined for CSTR to confirm the effectiveness of the proposed approach based on computer simulation.     

缺氧/好氧和协同控制DO/HRT工艺对亚硝化的影响比较

为比较协同控制DO/HRT和缺氧/好氧两种运行方式对亚硝化的影响,在常温(18~22℃)下,采用两组2级连续搅拌反应器(CSTR),1#采取协同控制DO/HRT的启动和运行方式,2#采取缺氧/好氧的方式,分别比较两种方式在亚硝化的启动时间、稳定运行效果、曝气能耗、对进水NH4+-N质量浓度下降的适应性以及污泥沉降性能上的差异.结果表明:1#、2#分别用了26和41 d实现了亚硝化;在以原水经AO除磷出水为进水时(NH4+-N质量浓度35~43 mg/L),两种运行方式亚硝化效果均较好,但缺氧/好氧的运行方式节省了约20%的曝气能耗.当进水NH4+-N质量浓度由43 mg/L下降到27 mg/L时,1#亚硝化失稳,最终亚硝化率下降到67.39%,而2#亚硝化较稳定,亚硝化率保持在88%以上;1#和2#在整个过程中污泥沉降性能良好.利用协同控制DO/HRT的方式启动亚硝化,随后转变为缺氧/好氧运行,有助于亚硝化的快速启动和稳定运行,并能节省曝气能耗.     

不同厌氧方式对连续流亚硝化恢复的影响

为探究不同厌氧运行方式对亚硝化恢复的影响,在常温(20±2)℃下,采用两组两级连续搅拌反应器(CSTR)1#和2#,实验分为S1、S2和S3三个阶段.在S1阶段1#采用厌氧/厌氧运行(两级DO均为0~0.1 mg/L),2#采用厌氧/好氧运行(两级DO分别为0~0.1和0.6~0.8 mg/L);在S2阶段1#转变为好氧/好氧运行(两级DO分别为0.2~0.4和0.6~0.8 mg/L),2#保持厌氧/好氧不变(两级DO分别为0~0.1和0.6~0.8 mg/L);在S3阶段,研究恢复后亚硝化的稳定性,此时1#、2#两级DO均为1.0~1.2 mg/L.分别对此过程中亚硝化的恢复时间以及恢复后稳定性进行比较.结果表明,1#的恢复时间比2#缩短了12 d,但当溶解氧增加到1.0~1.2 mg/L时,2#恢复后的亚硝化更稳定.先厌氧/厌氧(两级DO均为0~0.1 mg/L)后好氧/好氧运行(两级DO分别为0.2~0.4和0.6~0.8 mg/L),有利于亚硝化的快速恢复,恢复后转变为厌氧/好氧运行(两级DO分别为0~0.1和0.6~0.8 mg/L)有助于亚硝化的长期稳定运行.     

Design of observer based nonlinear model predictive controller for a continuous stirred tank reactor

Model predictive control (MPC) schemes are now widely used in process industries for the control of key unit operations. Linear model predictive control (LMPC) schemes which make use of linear dynamic model for prediction, limit their applicability to a narrow range of operation (or) to systems which exhibit mildly nonlinear dynamics.

In this paper, a nonlinear observer based model predictive controller (NMPC) for nonlinear system has been proposed. An approach to design NMPC based on fuzzy Kalman filter (FKF) and augmented state fuzzy Kalman filter (ASFKF) has been presented. The efficacy of the proposed NMPC schemes have been demonstrated by conducting simulation studies on the continuous stirred tank reactor (CSTR). The analysis of the extensive dynamic simulation studies revealed that, the NMPC schemes formulated produces satisfactory performance for both servo and regulatory problems. Simulation results also include an inferential control case, where the reactor concentration is not measured but estimated from temperature measurement and used in the NMPC based on FKF and ASFKF formulations.