發(fā)布時(shí)間：2018-03-16 02:08

  本文選題：MBBR工藝　切入點(diǎn)：ASM2d模型　出處：《西安理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：MBBR工藝通過向反應(yīng)池中投加一定數(shù)量的載體,形成懸浮態(tài)的活性污泥和附著態(tài)的生物膜,而增加系統(tǒng)中硝化菌的濃度,強(qiáng)化脫氮效果。國家對(duì)城鎮(zhèn)污水處理廠氮磷標(biāo)準(zhǔn)的提高,污水處理廠尋求提標(biāo)改造的有效方式,使得MBBR工藝逐漸應(yīng)用于污水廠的升級(jí)改造中。本文利用ASM2d模型對(duì)提標(biāo)改造后的西安市第四污水處理廠一期MBBR工藝進(jìn)行模擬,并對(duì)脫氮除磷系統(tǒng)進(jìn)行優(yōu)化設(shè)計(jì),提出了 MBBR工藝優(yōu)化控制方案,并通過數(shù)值模擬驗(yàn)證該優(yōu)化方案的可行性。對(duì)MBBR工藝建模并進(jìn)行初步穩(wěn)態(tài)模擬,得到模擬結(jié)果與實(shí)際運(yùn)行存在偏差。分析得出污水廠受進(jìn)水水質(zhì)和地域環(huán)境影響,微生物生化反應(yīng)環(huán)境存在差異,參數(shù)取值范圍很大,因此需要根據(jù)水處理廠實(shí)際情況對(duì)模型進(jìn)水組分及參數(shù)進(jìn)行實(shí)測(cè)。通過敏感性分析了解了不同參數(shù)取值誤差對(duì)模型輸出結(jié)果的影響大小,進(jìn)而選擇對(duì)狀態(tài)變量影響較大的參數(shù)。敏感性較大的動(dòng)力學(xué)參數(shù)有異養(yǎng)菌衰減速率常數(shù)bH、自養(yǎng)菌最大生長速率μAUT、異養(yǎng)菌基于基質(zhì)的最大生長速率μH;敏感性較大的化學(xué)計(jì)量參數(shù)有異養(yǎng)菌產(chǎn)率系數(shù)YH和自養(yǎng)菌的產(chǎn)率系數(shù)YAUT;進(jìn)水組分敏感度分析中,對(duì)出水COD影響最大的進(jìn)水組分是S1,進(jìn)水組分SNH4對(duì)氨氮和TN的影響較大,Xs對(duì)氨氮和TN的濃度也有影響,發(fā)酵產(chǎn)物SA、進(jìn)水SpO4對(duì)出水的總磷影響較大。對(duì)進(jìn)水組分和參數(shù)進(jìn)行測(cè)定。采用間歇OUR法,測(cè)得YH、bH、μH、μA的值分別為0.684、0.415d-1、5.100d-1、0.708d-1 YA在活性污泥中比較穩(wěn)定,采用YA的理論值0.24,bA目前還沒有有效的方法測(cè)定,使用ASM2d模型推薦值0.15d-1;測(cè)定進(jìn)水組分,得到SF、SA、S1、Xs、X1、XH 的平均值分別為 51.8mg/L、35.8mg/L、28.9mg/L、204mg/L、41 .0mg/L、32.4mg/L,占COD的比例分別為13%、9%、7%、52%、10%、8%。進(jìn)水組分與其他地區(qū)比較存在差異,表明水質(zhì)特征跟不同地區(qū)污水的性質(zhì)、來源等因素有較大關(guān)系。對(duì)模型進(jìn)行校準(zhǔn),并用校準(zhǔn)后的模型分析系統(tǒng)曝氣(DO)、混合液回流比(R)、污泥回流比(r)、填料填充率(PR)、溫度因素對(duì)工藝運(yùn)行的影響。提出了優(yōu)化控制方案為,高溫季節(jié)控制DO在2.0～2.5mg/L范圍內(nèi)、R在1500%～200%范圍內(nèi)、r為600%～70%、PR 為 20%;低溫季節(jié)可控制 DO 為 2.5～30mg/L、R 為 150%～200%、r為 70%～80%、PR為25%。若運(yùn)行過程中脫氮效果不理想,首先考慮適當(dāng)增大r,其次增大DO;若運(yùn)行過程中除磷效果不理想,優(yōu)先調(diào)控r,將r控制在合理的范圍,其次,合理的控制DO。在同時(shí)考慮脫氮與除磷時(shí),綜合調(diào)控r和DO兩個(gè)參數(shù),再考慮調(diào)控其他參數(shù)。
[Abstract]:By adding a certain number of carriers to the reactor, MBBR process forms suspended activated sludge and attached biofilm, while increasing the concentration of nitrifying bacteria in the system and strengthening the denitrification effect. The MBBR process has been gradually applied to the upgrading of wastewater treatment plant due to the effective way of the improvement of the wastewater treatment plant. This paper simulates the first stage MBBR process of Xi'an 4th sewage treatment plant after upgrading the standard by using the ASM2d model. The optimal design of denitrification and phosphorus removal system was carried out, and the optimal control scheme of MBBR process was put forward, and the feasibility of the optimization scheme was verified by numerical simulation. The MBBR process was modeled and the initial steady state simulation was carried out. It is concluded that the wastewater treatment plant is affected by the influent water quality and regional environment, and the environment of microbial biochemical reaction is different, and the range of parameters is very large. Therefore, according to the actual situation of the water treatment plant, the components and parameters of the model influent are measured, and the influence of the error of different parameters on the output of the model is analyzed by sensitivity analysis. The most sensitive kinetic parameters are heterotrophic decay rate constant bH, autotrophic bacteria maximum growth rate 渭 auto, heterotrophic bacteria based maximum growth rate 渭 H; The stoichiometric parameters include the yield coefficient of heterotrophic bacteria YH and the yield coefficient of autotrophic bacteria YAUT. in the sensitivity analysis of influent components, The influent component that has the greatest influence on effluent COD is S1, and the influent component SNH4 has great influence on ammonia nitrogen and TN. Xs also has influence on the concentration of ammonia nitrogen and TN. The influent SpO4 had a great effect on the total phosphorus of the effluent. By using intermittent OUR method, the values of YH, 渭 H and 渭 A were 0.684 ~ 0.415d ~ (-1) ~ 5.100d ~ (-1) ~ 0.708d ~ (-1) YA, respectively, which were stable in the activated sludge. At present, there is no effective method to determine the theoretical value of YA 0.24 mgL, and the recommended value of 0.15 d ~ (-1) using ASM2d model is 0.15 d ~ (-1). By determining the influent component, the average value of XS-1 X1XH is 51.8 mg / L ~ 35.8 mg / L ~ (28. 9) mg / L ~ (28. 9) mg / L ~ (41) mg / L ~ (41 路0) mg 路L ~ (-1) = 32. 4 mg / L, respectively, and the proportion of the influent water to COD is 13 ~ (79)% 722 ~ (52) 1010 ~ 80.Compared with other regions, there is a difference between the influent group and other regions. The results show that the characteristics of water quality are closely related to the nature and source of sewage in different areas. With the calibrated model analysis system, the effects of aeration, mixture reflux ratio, sludge reflux ratio, filler filling ratio and temperature on the operation of the process are put forward. In the high temperature season, do is controlled in the range of 2.0 ~ 2.5 mg / L and R is in the range of 1 500 ~ 200%. The R is 600 and 70%, and the PR is 20. In the low temperature season, it can be controlled that the do is 2.5? 30 mg / L? r? 150??? If the phosphorus removal effect is not ideal, the priority is to control r in a reasonable range, and the second is to control DO.When nitrogen and phosphorus removal are considered at the same time, two parameters, r and do, are comprehensively regulated. Consider regulating other parameters.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：X703

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李袁琴;姜言欣;;MBBR-MBR工藝現(xiàn)狀及發(fā)展趨勢(shì)[J];環(huán)境科學(xué)導(dǎo)刊;2016年S1期

2 仇保興;;城市黑臭河道治理協(xié)同海綿城市建設(shè)[J];建設(shè)科技;2016年01期

3 楊小梅;鄧猛;王羽華;金艷青;李勇;;硝化液回流比對(duì)A~2/O-MBBR工藝反硝化除磷效果的影響[J];環(huán)境工程;2015年08期

4 錢宇章;;城市污水處理技術(shù)發(fā)展回顧與展望[J];資源節(jié)約與環(huán)保;2015年01期

5 Xiang HU;Li XIE;Chuang MI;Dian-hai YANG;;基于缺氧/厭氧/好氧/后缺氧工藝的活性污泥模型的校正及驗(yàn)證(英文)[J];Journal of Zhejiang University-Science A(Applied Physics & Engineering);2014年09期

6 葉長兵;周志明;呂偉;劉琴;張晶晶;;A~2O污水處理工藝研究進(jìn)展[J];中國給水排水;2014年15期

7 徐文娟;江霜英;;方形與球形聚氨酯填料用于MBBR處理混合污水的研究[J];水處理技術(shù);2013年09期

8 陳文亮;呂錫武;姚重華;;不同進(jìn)水條件下ASM1模型參數(shù)的靈敏度分析[J];環(huán)境污染與防治;2013年08期

9 王磊;于廣平;苑明哲;;污水處理過程模型參數(shù)校正方法研究及應(yīng)用[J];科學(xué)技術(shù)與工程;2013年21期

10 李倩;曹國憑;鄭興燦;尚巍;陳軼;張文安;張朋川;;懸浮填料強(qiáng)化硝化功能及溫度影響試驗(yàn)研究[J];中國給水排水;2013年05期

相關(guān)博士學(xué)位論文 前2條

1 楊躍;三溝式氧化溝工藝數(shù)值模擬與優(yōu)化運(yùn)行研究[D];哈爾濱工業(yè)大學(xué);2010年

2 龐子山;活性污泥法工藝系統(tǒng)優(yōu)化設(shè)計(jì)模型及應(yīng)用研究[D];重慶大學(xué);2004年

相關(guān)碩士學(xué)位論文 前3條

1 王瑞榮;基于多目標(biāo)粒子群優(yōu)化的活性污泥模型參數(shù)校正[D];華東理工大學(xué);2015年

2 張杞蓉;ASM2D進(jìn)水水質(zhì)組分和模型參數(shù)的測(cè)定[D];武漢理工大學(xué);2012年

3 任海英;城市污水活性污泥處理系統(tǒng)模擬預(yù)測(cè)及設(shè)計(jì)（ASM2）[D];西安建筑科技大學(xué);2004年

，

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