状态变量关联法还原复杂生物工艺过程模型——在微藻厌氧消化中的应用

Z. Khedim, B. Benyahia, F. Mairet, J. Steyer, J. Harmand
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引用次数: 3

摘要

本文使用“状态变量关联”方法处理ADM1的减少,以校准一个简单的微藻厌氧消化模型(MAD模型)。在仿真中,我们证明了校准后的MAD模型和ADM1的行为是相同的。利用实验数据,校正后的MAD模型较好地预测了由普通小球藻组成的底物消化的真实行为。我们的研究强调了所采用的方法的有效性,从复杂的现象学模型中提供一个简化的模型,然后可以用于控制和优化目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reduction of a complex biotechnological process model using state-variable association method-Application to the anaerobic digestion of micro-algae
This paper deals with the reduction of the ADM1 using the “state-variable association” method, to calibrate a simple model of microalgae anaerobic digestion (the MAD model). In simulation, we show that the behavior of the calibrated MAD model and of the ADM1 are identical. Using experimental data, the calibrated MAD model predicts well the real behavior of the digestion of a substrate composed of Chlorella vulgaris. Our study highlights the effectiveness of the adopted approach to provide, from complex phenomenological models, a reduced one, that can then be used for control and optimization purposes.
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