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Transforming data to information : A parallel hybrid model for real-time state estimation in lignocellulosic ethanol fermentation

Biotechnology and bioengineering, 2021-02, Vol.118 (2), p.579 [Peer Reviewed Journal]

ISSN: 0006-3592 ;EISSN: 1097-0290 ;DOI: 10.1002/bit.27586

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  • Title:
    Transforming data to information : A parallel hybrid model for real-time state estimation in lignocellulosic ethanol fermentation
  • Author: Cabaneros Lopez, Pau ; Udugama, Isuru A. ; Thomsen, Sune T. ; Roslander, Christian ; Junicke, Helena ; Iglesias, Miguel M. ; Gernaey, Krist V.
  • Subjects: Bioenergi ; Bioenergy ; continuous-discrete extended Kalman filter ; Engineering and Technology ; fermentation ; hybrid model ; Industrial Biotechnology ; Industriell bioteknik ; lignocellulosic ethanol ; spectroscopy ; Teknik
  • Is Part Of: Biotechnology and bioengineering, 2021-02, Vol.118 (2), p.579
  • Description: Operating lignocellulosic fermentation processes to produce fuels and chemicals is challenging due to the inherent complexity and variability of the fermentation media. Real-time monitoring is necessary to compensate for these challenges, but the traditional process monitoring methods fail to deliver actionable information that can be used to implement advanced control strategies. In this study, a hybrid-modeling approach is presented to monitor cellulose-to-ethanol (EtOH) fermentations in real-time. The hybrid approach uses a continuous-discrete extended Kalman filter to reconciliate the predictions of a data-driven model and a kinetic model and to estimate the concentration of glucose (Glu), xylose (Xyl), and EtOH. The data-driven model is based on partial least squares (PLS) regression and predicts in real-time the concentration of Glu, Xyl, and EtOH from spectra collected with attenuated total reflectance mid-infrared spectroscopy. The estimations made by the hybrid approach, the data-driven models and the internal model were compared in two validation experiments showing that the hybrid model significantly outperformed the PLS and improved the predictions of the internal model. Furthermore, the hybrid model delivered consistent estimates even when disturbances in the measurements occurred, demonstrating the robustness of the method. The consistency of the proposed hybrid model opens the doors towards the implementation of advanced feedback control schemes.
  • Language: English
  • Identifier: ISSN: 0006-3592
    EISSN: 1097-0290
    DOI: 10.1002/bit.27586
  • Source: SWEPUB Freely available online
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