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首页> 外文会议>International Water Association(IWA) Conference; 20050518-20; Xi'an(CN) >Effect of variation flow ratios on performance of split-feed anaerobic baffled reactor
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Effect of variation flow ratios on performance of split-feed anaerobic baffled reactor

机译：分流比对分流进料厌氧折流板反应器性能的影响

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摘要

The performance of a Spilt-Feed Anaerobic Baffled Reactor (SFABR), with four compartments and a volume of 14.8 liters, treating a synthetic wastewater, was investigated. The reactor was started with organic loading rate of 1.2kgCOD/(m~3.d), and then the rate was steadily increased to 9.0 kgCOD/(m~3.d). The results showed that the start-up of the SFABR is achieved for 40 days , and the effluent COD of 100 mg/L on average was obtained in each compartment, and the COD removal sustained higher than 90%. Compared with the traditional way of inlet ABR, SFABR process stability and overall degradation rates can be increased by separately feed for each compartment, when loading rate increased from 1.56kgCOD/(m~3d) to 9. 0kgCOD/(m~3d), over loading didn't result in acidifying, and the removal of COD is stabilized between 90% and 100%. The flow ratio had considerable impact on the effluent COD and VFA in the first compartment, and on the sludge activity in each compartment. When the feed in compartment 1 is over loaded, the sludge methanogenic activity is inhibited in the first and second compartments; the concentration of VFA and COD is increased and the circumstance became acidified in compartment 1 .Meanwhile, the effluent COD in compartment 2 is increased too. Hence, the proper flow ratio is the key factor of running SFABR.
机译：研究了带有四个隔室，容积为14.8升的螺旋进料厌氧折流板反应器（SFABR）处理合成废水的性能。以1.2kgCOD /（m〜3.d）的有机负载率启动反应器，然后将其稳定地增加至9.0kgCOD /（m〜3.d）。结果表明，SFABR的启动时间为40天，每个隔室中的废水COD平均达到100 mg / L，并且COD去除率持续高于90％。与传统的ABR进料方式相比，当装载量从1.56kgCOD /（m〜3d）增加到9。0kgCOD/（m〜3d）时，每个隔室分别进料可以提高SFABR的工艺稳定性和整体降解率。超载不会导致酸化，并且COD的去除率稳定在90％至100％之间。流量比对第一个隔室中的废水COD和VFA以及每个隔室中的污泥活性都有相当大的影响。当隔室1中的进料超载时，第一隔室和第二隔室中的污泥产甲烷活性受到抑制； VFA和COD的浓度增加，并且在隔室1中酸化。同时，隔室2中的废水COD也增加。因此，适当的流量比是运行SFABR的关键因素。

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