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Model-Based Computation of Critical Operation Points in Biogas Producing Plants

机译:基于模型的沼气生产植物关键操作点的计算

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Reducing the use of fossil fuels for energy production is one of the main objectives in 21st century. In order to achieve this target renewable energy resources (like agricultural waste) in biogas plants can be used. An anaerobic bacterial fermentation process digests the substrates into methane and carbon dioxide. The process itself has strong fluctuations in terms of net methane yield due to different amounts and composition of agricultural influents. For increasing the space time yield two main difficulties are encountered. The first one is system-specific and includes stirrer design and reactor geometry. The second affects the biotechnological fermentation process. The following work is focusing on the fermentation process. The determination of critical parameters for the optimization of the anaerobic microbial digestion is investigated. An economic approach for solving these problems is only feasible by using mathematical models and simulation. Consequently two fermentation models are compared by regarding parameter sensitivity and critical operational points. The first one is based on simple Monod-kinetics while the second one is extended with two steps of fermentation and therefore two different microbial consortia and additive inhibition effects. The complex model is able to describe different phenomena in more detail. But its estimability and therefore its validation is difficult without further investigation of the model structure and the reduction of the model complexity. One important result of the investigation is that stable process conditions with simultaneous high yields are depending on a careful adjustment of the loading rate and therefore requiring precise model parameters.
机译:减少化石燃料对能源生产的使用是21世纪的主要目标之一。为了实现这种目标可再生能源(如农业废物)可以使用沼气植物。一种厌氧菌细菌发酵过程将底物中的物质消化成甲烷和二氧化碳。由于农业影响数量和组成,该过程本身在净甲烷产量方面具有强烈波动。为了增加空间时间,产生两个主要困难。第一个是系统特定的,包括搅拌器设计和反应器几何形状。第二种影响生物技术发酵过程。以下工作专注于发酵过程。研究了用于优化厌氧微生物消化的临界参数的测定。通过使用数学模型和仿真,解决这些问题的经济方法仅可行。因此,通过关于参数灵敏度和关键操作点进行比较两种发酵模型。第一个基于简单的Monod-kinetics,而第二个是用两步的发酵延伸,因此两种不同的微生物组成和添加剂抑制效果。复杂模型能够更详细地描述不同现象。但其可评估性,因此难以进一步调查模型结构和模型复杂性的降低而困难。调查的一个重要结果是,具有同时高收益率的稳定过程条件是根据仔细调整加载速率,因此需要精确的模型参数。

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