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A scale-up procedure for substrate co-digestion in anaerobic digesters through the use of substrate characterization, BMPs, ATAs, and sub pilot-scale digesters

机译:通过使用底物表征,BMP,ATA和亚中试规模的消化器,在厌氧消化器中进行底物共消化的放大程序

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摘要

The main objective of this thesis was to develop a system for predicting methane production and anaerobic digestion performance of multiple substrates prior to implementation of full-scale application. This thesis is prepared in the journal paper format and includes three papers that were prepared for submission to a journal or conference proceedings.The objective of the first paper was to analyze multiple substrates using various laboratory techniques so that optimum mixture ratios could be formed. Biochemical methane potentials (BMPs) and anaerobic toxicity assays (ATAs) were used to select and in some cases rule out substrates based on their contribution to methane production. Mixtures were created using constraints arising from the full-scale system. This included the use of all available manure, keeping total solids below 15% to facilitate pumping, maintaining pH between 6.5 and 8.2 for microbial ecology, providing high COD concentrations to maximize methane production, and limiting ammonia levels to avoid toxicity (Speece, 1996). The BMP and ATA results from each mixture were analyzed and compared. The mixture with the best performance was selected for subsequent testing in 100-L sub pilot-scale anaerobic digesters.The objective of the second paper was to analyze the performance of three 100-L sub pilot-scale anaerobic digesters. These plug flow digesters operated at a 21-d hydraulic retention time (HRT) and were fed the mixture selected in the first paper in a semi-continuous manner twice weekly (6 loadings per HRT). Methane production was measured using submerged tipping buckets. Methane production from the sub-pilot scale reactors was compared to that predicted by the BMP tests. After two hydraulic retention times, the BMP maximum and minimum were observed to be valid boundaries for the sub-pilot scale anaerobic digester methane production, with some of the variability ascribed to seasonal substrate changes.The objective of third and final paper was to use a series of BMPs and an ATA to predict the methane production in three 100-L sub pilot-scale anaerobic digesters that were subjected to a potential toxicant, glycerin. A group of ATAs were performed with glycerin inclusion rates of 0.5%, 1.0%, 2.0%, 4.0%, 8.0%, 15%, 25%, and 35% by volume. A set of BMPs was performed where a baseline mixture was combined with glycerin such that glycerin was 0.0%, 0.5%, 1.0%, 2.0%, 4.0%, 8.0%, 15%, 25%, and 35% of the combined mixture by volume. In addition, BMPs of 100% glycerin and 50% glycerin/50% DI water by volume were also performed. The three 100-L sub pilot-scale anaerobic digesters were operated at a 21-d hydraulic retention time (HRT) and were each fed in a semi-continuous manner twice weekly (6 loadings per HRT). Each digester was fed a combination of the mixture selected in paper one with a different amount of glycerin (1%, 2%, 4% by volume). The ATAs showed that glycerin was toxic to methane production at all inclusion levels. The BMPs indicated no significant difference between methane production of the 0.0%, 0.5%, 1.0%, 2.0%, and 4.0% mixture combinations; however, at 8.0%, methane production tripled. In contrast, the sub pilot-scale reactors showed signs of toxicity 4.0% glycerin inclusion and little to no effect on methane production for 1.0% and 2.0% glycerin inclusion. Thus, neither the ATA nor the BMP proved to be an adequate predictor for the sub pilot-scale reactors. The most likely cause was lack of mixing within the sub pilot-scale digester to keep glycerin suspended and the mixture well blended. The separation of materials probably lead to short circuiting and prevented adequate microbial activity and methane formation.
机译:本论文的主要目的是开发一种能够在大规模应用之前预测多种底物的甲烷产生和厌氧消化性能的系统。本论文以期刊论文格式编写,包括准备提交期刊或会议论文集的三篇论文。第一篇论文的目的是使用各种实验室技术分析多种底物,以便形成最佳的混合比例。生化甲烷潜力(BMP)和厌氧毒性测定(ATAs)用于选择底物,并在某些情况下根据底物对甲烷生产的贡献来排除底物。混合是使用来自全尺寸系统的约束条件创建的。这包括使用所有可用的粪肥,将总固体含量控制在15%以下以利于泵送,使微生物生态学的pH值保持在6.5至8.2之间,提供高的COD浓度以最大程度地产生甲烷以及限制氨含量以避免毒性(Speece,1996) 。分析并比较了每种混合物的BMP和ATA结果。选择性能最好的混合物用于随后在100升亚中试厌氧消化池中的测试。第二篇论文的目的是分析三个100升亚中试厌氧消化池的性能。这些活塞流蒸煮器在21天的水力停留时间(HRT)下运行,并每周两次以半连续方式喂入在第一张纸中选择的混合物(每个HRT 6次装载)。使用浸入式倾卸桶测量甲烷产量。将副试规模反应器的甲烷产量与BMP试验预测的甲烷产量进行了比较。经过两次水力停留时间后,BMP的最大值和最小值被认为是亚试规模厌氧消化池甲烷生产的有效边界,其中一些变化是由于季节性底物变化而引起的。第三篇也是最后一篇论文的目的是使用系列BMP和ATA来预测三个100 L的亚中试规模厌氧消化池中的甲烷产量,这些消化池都受到了潜在的毒物甘油的作用。进行了一组ATA,甘油的掺入率为0.5%,1.0%,2.0%,4.0%,8.0%,15%,25%和35%(体积)。进行一组BMP,其中将基线混合物与甘油混合,以使甘油分别占混合混合物的0.0%,0.5%,1.0%,2.0%,4.0%,8.0%,15%,25%和35%体积。另外,还进行了体积百分比为100%的甘油和50%的甘油/ 50%的去离子水的BMP。这三个100升亚中试规模的厌氧消化池在21天的水力停留时间(HRT)下运行,每个半连续的方式每周喂食两次(每个HRT 6次装载)。向每个蒸煮器喂入在纸中选择的混合物与不同量的甘油(按体积计1%,2%,4%)的组合。 ATAs显示甘油在所有包含水平下均对甲烷产生有毒。 BMP表示0.0%,0.5%,1.0%,2.0%和4.0%混合物组合的甲烷生成量之间无显着差异。但是,甲烷产量为8.0%时增加了两倍。相反,低于中试规模的反应器显示出4.0%甘油夹杂物的毒性迹象,而对于1.0%和2.0%甘油夹杂物的甲烷生产几乎没有影响。因此,无论是ATA还是BMP都不能被证明是次级中试规模反应堆的适当预测指标。最可能的原因是在亚中试规模的消化池内缺乏混合,以保持甘油悬浮和混合物充分混合。材料的分离可能导致短路,并阻止了足够的微生物活性和甲烷的形成。

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    Sell, Steven Thomas;

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  • 年度 2011
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  • 正文语种 en
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