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Anaerobic Digestion Model to Enhance Treatment of Brewery Wastewater for Biogas Production Using UASB Reactor

机译:使用UASB反应器的厌氧消化模型可增强对用于生产沼气的啤酒废水的处理

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Biogas produced from an upflow anaerobic sludge blanket (UASB) reactor is a clean and an environmentally friendly by-product that could be used to meet partial energy needs. In this study, a modified methane generation model (MMGM) was developed on the basis of mass balance principles to predict and increase methane production rate in a UASB reactor during anaerobic fermentation of brewery wastewater. Model coefficients were determined using the data collected from a full-scale reactor. The results showed that the composition of wastewater and operational conditions of the reactor strongly influence the kinetics of the digestion process. Simulation of the reactor process using the model was used to predict the effect of organic loading rate and temperature on methane production with an optimum methane production at 29 degrees C and 8.26 g COD/L/day. Methane production rate increased from 0.29 to 1.46 L CH4/g COD, when the loading rate was increased from 2.0 to 8.26 g COD/L/day. The results showed the applicability of MMGM to predict usable methane component of biogas produced during anaerobic digestion of brewery wastewater. This study would help industries to predict and increase the generation of renewable energy by improving methane production from a UASB reactor. To the best of our knowledge, MMGM is the first reported developed model that could serve as a predictive tool for brewery wastewater treatment plant available in the literature.
机译:从上流式厌氧污泥层(UASB)反应器中产生的沼气是一种清洁且环保的副产品,可用于满足部分能源需求。在这项研究中,基于质量平衡原理开发了改进的甲烷生成模型(MMGM),以预测和提高啤酒废水厌氧发酵过程中UASB反应器中的甲烷生产率。使用从大型反应器收集的数据确定模型系数。结果表明,废水的组成和反应器的运行条件强烈影响消化过程的动力学。使用该模型对反应器过程进行模拟可预测有机负载率和温度对甲烷生产的影响,并在29摄氏度和8.26 g COD / L / day的最佳甲烷产量下进行。当装载量从2.0增加到8.26 g COD / L /天时,甲烷的生产率从0.29增加到1.46 L CH4 / g COD。结果表明,MMGM可用于预测啤酒废水厌氧消化过程中产生的沼气中可用的甲烷成分。这项研究将通过提高UASB反应器的甲烷产量来帮助行业预测和增加可再生能源的产生。据我们所知,MMGM是第一个报道的开发模型,可以作为文献中可用的啤酒废水处理厂的预测工具。

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