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An efficient dark fermentative hydrogen production by GMV control of pH

机译:通过GMV控制pH值可有效生产深色发酵氢

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This study proposes that the on-line pH control via a model-based adaptive controller markedly improves the dark fermentative hydrogen production. According to the dynamic behavior of the dark fermentation process, pH, which rapidly declines with the beginning of the biogas production, should be precisely controlled around its optimal value in a narrow range. The success of on-line pH control was guaranteed by performing the preliminary simulation studies by experimental data obtained from dynamic analysis to determine ARMAX model order with Recursive Least Squares parameter estimation method and then to control the pH with Generalized Minimum Variance (GMV) controller. On-line control of pH at the optimal value of 6.0 during the 25 h dark fermentation process resulted in 5.4 times higher biogas production, 6.2 times higher biogas production potential, nearly doubled the duration of fermentation, and 18.4% biogas production rate increment in comparison with the uncontrolled pH case. (C) 2019 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:这项研究表明,通过基于模型的自适应控制器进行在线pH控制可显着提高深色发酵产氢量。根据黑暗发酵过程的动态行为,随着沼气生产开始而迅速下降的pH值应在狭窄范围内精确控制在最佳值附近。通过使用动态分析获得的实验数据进行初步的模拟研究,以确保在线pH控制的成功,可以使用递归最小二乘参数估计方法确定ARMAX模型的阶次,然后使用通用最小方差(GMV)控制器控制pH。在25小时的黑暗发酵过程中,将在线pH值控制在最佳值6.0可使沼气产量提高5.4倍,沼气产量潜力提高6.2倍,发酵持续时间几乎翻了一番,沼气生产率提高了18.4% pH值不受控制的情况。 (C)2019氢能出版物有限公司。由Elsevier Ltd.出版。保留所有权利。

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