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Optimization of H2S absorption toward the alteration in flow rate of biogas purification system with water scrubber using particle swarm optimization

机译:利用粒子群优化对水洗涤器进行水洗涤器流量升高的影响

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Absorption of H2S is one of the important part in biogas purification. This process requires a purification system to reduce the content of harmful gas. The maximum tolerance of H2S content for biogas generator set input is 5 ppm, while measured input of H2S in cow manure has a concentration range from 43 to 45.5 ppm. Therefore, it needs proper optimization design to represent the performance of the purification system. Particle Swarm Optimization refers to the process of identifying the best element (according to one or more user-specified criteria) among a set of possible alternatives. In this research, we compare the results from modeling plant and experimental plant in order to the reaction and mass at the biogas purification plant. Based on the experiment plant, measurement of produced biogas shows the reduction of H2S concentration up to 94.5% and produce H2S with concentration of 0.55 ppm. Meanwhile, in modified plant model the reduction of H2S is up to 94.44% with the gas concentration of 0.53 ppm. Validation of plant model has showed the data trend that approaches the measurement results of experimental plant with an average of absolute error of 0.018, respectively.
机译:H2S的吸收是沼气纯化的重要组成部分之一。该过程需要纯化系统以降低有害气体的含量。用于沼气发生器集输入的H2S含量的最大耐受性为5ppm,而牛粪中的H2S的测量输入的测量值为43至45.5ppm。因此,它需要适当的优化设计来表示净化系统的性能。粒子群优化是指在一组可能的替代方案中识别最佳元素(根据一个或多个用户指定标准)的过程。在这项研究中,我们将植物和实验植物的结果进行比较,以便在沼气净化植物中的反应和质量。基于实验植物,产生的沼气的测量表明,高达94.5%的H 2 S浓度降低,并产生浓度为0.55ppm的H2S。同时,在改性植物模型中,H2S的还原量高达94.44%,气体浓度为0.53ppm。植物模型的验证表明,分别接近实验厂的测量结果的数据趋势分别为0.018的绝对误差。

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