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基于ASM2D的SBR污水处理工艺数学模型研究

发布时间:2019-06-17 14:38
【摘要】:近年来我国大力发展环保产业,污水处理得到高度的重视,目前全国已有很多的城市建立起污水处理厂。但是目前污水处理厂采用的是传统的污水处理工艺,管理运行缺乏科学合理的方式,自动化程度低,运行数据和运行的经验难以及时的实现共享。一旦当污水厂出现水质发生急剧变化的情况,污水厂便难以迅速准确的提供应对机制,很难在短时间内降低水质变化造成的危害。本课题针对松花江流域应用较多的SBR工艺,以ASM2D模型为基础建立起能够准确模拟和预测水质变化的ASM2D耦合模型。借助软件平台进行模拟和正交试验分析结合节能减排的原则,确定针对低C/N废水情况下SBR工艺运行的最适工况。本课题在ASM2D模型的基础上耦合生物除磷代谢模型,增加XGLY组分,并在动力学方程上引入开关函数,形成新的耦合模型。通过SBR反应特点建立起物料守恒方程。建立起ASM2D耦合模型,并在软件平台上进行编写。对ASM2D耦合模型中关于COD、氨氮、总氮,总磷的参数进行灵敏度分析,得出灵敏度较大的参数有bH、kgly、fSi、Yxglyo2、iN,XS、iN,BM、YA、iN,BM、μA、Ypha、Ypo4、Yxhpano3、Yxglyno3等,并对其进行参数调整。通过控制变量法进行校正将各参数调整为:Ypo4从0.35调整为0.70,Yxhpano3从1.58调整为1.896,Yxglyno3从1.33调整为1.064,Ypha从1.33调整为1.596,μA从1调整到1.2,f Si从1.0调整到0.9,bH,从0.4调整到0.2,iN,BM不变依然为0.07,将YA从0.24调整为0.18,将Yxglyo2从1.25调整为0.30,iN,XS从0.04调整为0.20。经过调整的模型在COD、氨氮、总氮,总磷的模拟上误差分别为1.87%、1.53%、2.31%,2.27%。各项水质参数的模拟均能符合要求,基本能符合SBR工艺运行的实际情况。针对影响SBR工艺运行的参数(如污泥浓度、缺氧时间、HRT、冲水比,温度)对SBR工艺进行动态模拟并结合正交实验分析结果确定出低C/N污水的SBR工艺运行的最适工况为冲水比为1/8,HRT=8,缺氧时间为1.5h,污泥浓度为3000mg/L,温度为20℃。在此基础上对最适工况做变水质分析探究,采用进水C/N为2、3、4、5、6,8的六种水质进行探究。探究表明最适工况能很好的应对水质的变化,ASM2D耦合模型也能起到很好的预测效果,能够实现对污水厂的指导作用。
[Abstract]:In recent years, China has vigorously developed the environmental protection industry, and the sewage treatment is highly valued, and there are many cities in the country to set up a sewage treatment plant. However, at present, the sewage treatment plant adopts the traditional sewage treatment technology, the management and operation lacks scientific and reasonable way, the degree of automation is low, the operation data and the operation experience are difficult to realize sharing in time. In case of a rapid change in the water quality in the sewage plant, it is difficult for the sewage plant to provide the coping mechanism quickly and accurately, and it is difficult to reduce the harm caused by the water quality change in a short time. Based on the ASM2D model, an ASM2D coupling model, which can accurately simulate and predict the change of water quality, is established for the Songhua River Basin. The optimum working conditions for SBR process operation in the case of low C/ N wastewater are determined by the principle of energy saving and emission reduction with the aid of the software platform and the principle of energy saving and emission reduction. In this paper, on the basis of the ASM2D model, a bio-phosphorus metabolism model is coupled, the XGLY component is increased, and a switch function is introduced on the kinetic equation to form a new coupling model. The material conservation equation is established by the characteristics of SBR reaction. Establish an ASM2D coupling model and write it on the software platform. The sensitivity analysis is carried out on the parameters of COD, ammonia nitrogen, total nitrogen and total phosphorus in the ASM2D coupling model. It is concluded that the parameters with higher sensitivity are bH, kly, fSi, Yxglyo2, iN, XS, iN, BM, YA, iN, BM,. the correction is made by the control variable method to adjust the parameters to: ypo4 is adjusted from 0.35 to 0.70, yxhpano3 is adjusted from 1.58 to 1.96, yxglyn3 is adjusted from 1.33 to 1.064, yfor from 1.33 to 1.596, mua is adjusted from 1 to 1.2, f si is adjusted from 1.0 to 0.9, bh, from 0.4 to 0.2, iN, and BM is still 0.07, Adjust YA from 0.24 to 0.18, adjust Yxglyo2 from 1.25 to 0.30, iN, and XS from 0.04 to 0.20. The simulated errors of COD, ammonia nitrogen, total nitrogen and total phosphorus were 1.87%, 1.53%, 2.31% and 2.27%, respectively. The simulation of all water quality parameters can meet the requirements and can basically meet the actual conditions of the operation of the SBR process. The optimum working conditions for SBR process of the low C/ N sewage were determined by dynamic simulation of the SBR process and the orthogonal test results. The optimum working conditions for SBR process operation of the low C/ N sewage were 1/8, HRT = 8, and the anoxic time was 1.5 h. The sludge concentration is 3000mg/ L and the temperature is 20 鈩,

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