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基于ASM2D的SBR污水處理工藝數(shù)學(xué)模型研究

發(fā)布時(shí)間:2019-06-17 14:38
【摘要】:近年來(lái)我國(guó)大力發(fā)展環(huán)保產(chǎn)業(yè),污水處理得到高度的重視,目前全國(guó)已有很多的城市建立起污水處理廠。但是目前污水處理廠采用的是傳統(tǒng)的污水處理工藝,管理運(yùn)行缺乏科學(xué)合理的方式,自動(dòng)化程度低,運(yùn)行數(shù)據(jù)和運(yùn)行的經(jīng)驗(yàn)難以及時(shí)的實(shí)現(xiàn)共享。一旦當(dāng)污水廠出現(xiàn)水質(zhì)發(fā)生急劇變化的情況,污水廠便難以迅速準(zhǔn)確的提供應(yīng)對(duì)機(jī)制,很難在短時(shí)間內(nèi)降低水質(zhì)變化造成的危害。本課題針對(duì)松花江流域應(yīng)用較多的SBR工藝,以ASM2D模型為基礎(chǔ)建立起能夠準(zhǔn)確模擬和預(yù)測(cè)水質(zhì)變化的ASM2D耦合模型。借助軟件平臺(tái)進(jìn)行模擬和正交試驗(yàn)分析結(jié)合節(jié)能減排的原則,確定針對(duì)低C/N廢水情況下SBR工藝運(yùn)行的最適工況。本課題在ASM2D模型的基礎(chǔ)上耦合生物除磷代謝模型,增加XGLY組分,并在動(dòng)力學(xué)方程上引入開關(guān)函數(shù),形成新的耦合模型。通過(guò)SBR反應(yīng)特點(diǎn)建立起物料守恒方程。建立起ASM2D耦合模型,并在軟件平臺(tái)上進(jìn)行編寫。對(duì)ASM2D耦合模型中關(guān)于COD、氨氮、總氮,總磷的參數(shù)進(jìn)行靈敏度分析,得出靈敏度較大的參數(shù)有bH、kgly、fSi、Yxglyo2、iN,XS、iN,BM、YA、iN,BM、μA、Ypha、Ypo4、Yxhpano3、Yxglyno3等,并對(duì)其進(jìn)行參數(shù)調(diào)整。通過(guò)控制變量法進(jìn)行校正將各參數(shù)調(diào)整為:Ypo4從0.35調(diào)整為0.70,Yxhpano3從1.58調(diào)整為1.896,Yxglyno3從1.33調(diào)整為1.064,Ypha從1.33調(diào)整為1.596,μA從1調(diào)整到1.2,f Si從1.0調(diào)整到0.9,bH,從0.4調(diào)整到0.2,iN,BM不變依然為0.07,將YA從0.24調(diào)整為0.18,將Yxglyo2從1.25調(diào)整為0.30,iN,XS從0.04調(diào)整為0.20。經(jīng)過(guò)調(diào)整的模型在COD、氨氮、總氮,總磷的模擬上誤差分別為1.87%、1.53%、2.31%,2.27%。各項(xiàng)水質(zhì)參數(shù)的模擬均能符合要求,基本能符合SBR工藝運(yùn)行的實(shí)際情況。針對(duì)影響SBR工藝運(yùn)行的參數(shù)(如污泥濃度、缺氧時(shí)間、HRT、沖水比,溫度)對(duì)SBR工藝進(jìn)行動(dòng)態(tài)模擬并結(jié)合正交實(shí)驗(yàn)分析結(jié)果確定出低C/N污水的SBR工藝運(yùn)行的最適工況為沖水比為1/8,HRT=8,缺氧時(shí)間為1.5h,污泥濃度為3000mg/L,溫度為20℃。在此基礎(chǔ)上對(duì)最適工況做變水質(zhì)分析探究,采用進(jìn)水C/N為2、3、4、5、6,8的六種水質(zhì)進(jìn)行探究。探究表明最適工況能很好的應(yīng)對(duì)水質(zhì)的變化,ASM2D耦合模型也能起到很好的預(yù)測(cè)效果,能夠?qū)崿F(xiàn)對(duì)污水廠的指導(dǎo)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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