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Parameter estimation and long-term process simulation of a biogas reactor operated under trace elements limitation

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  • Lübken, Manfred
  • Koch, Konrad
  • Gehring, Tito
  • Horn, Harald
  • Wichern, Marc

Abstract

The Anaerobic Digestion Model No. 1 (ADM1) was modified to describe the long-term process stability of a two-stage agricultural biogas system operated for 494days with a mono-substrate. The ADM1 model fraction for carbohydrates was divided into a slowly and readily degradable part. Significant different hydrolysis rate constants were found for proteins and single fractions of carbohydrates in batch experiments. Degradation of starch, xylan (hemicellulose), cellulose and zein (protein) were modeled with first order hydrolysis rate coefficients of 1.20d−1, 0.70d−1, 0.18d−1 and 0.30d−1, respectively. While the hydrolysis rate coefficients found in batch experiments could be used for predicting continuous process data, the statistically calculated confidence regions (nonlinear parameter estimation) showed that the upper limits were unbounded. Single discrepancies between measured and modeled process data of the two-stage pilot system could be explained by the lack of bioavailability of trace elements. Addition of iron, as Fe(III)Cl3, allowed stable process conditions for an organic loading rate (OLR) up to 2.5gVSL−1d−1. Additional supplement of trace elements was necessary for process operation at OLRs above 2.5gVSL−1d−1.

Suggested Citation

  • Lübken, Manfred & Koch, Konrad & Gehring, Tito & Horn, Harald & Wichern, Marc, 2015. "Parameter estimation and long-term process simulation of a biogas reactor operated under trace elements limitation," Applied Energy, Elsevier, vol. 142(C), pages 352-360.
    • Handle: RePEc:eee:appene:v:142:y:2015:i:c:p:352-360
    DOI: 10.1016/j.apenergy.2015.01.014
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    2. Begum, Sameena & Ahuja, Shruti & Anupoju, Gangagni Rao & Kuruti, Kranti & Juntupally, Sudharshan & Gandu, Bharath & Ahuja, D.K., 2017. "Process intensification with inline pre and post processing mechanism for valorization of poultry litter through high rate biomethanation technology: A full scale experience," Renewable Energy, Elsevier, vol. 114(PB), pages 428-436.
    3. Bułkowska, K. & Białobrzewski, I. & Klimiuk, E. & Pokój, T., 2018. "Kinetic parameters of volatile fatty acids uptake in the ADM1 as key factors for modeling co-digestion of silages with pig manure, thin stillage and glycerine phase," Renewable Energy, Elsevier, vol. 126(C), pages 163-176.
    4. Tsapekos, P. & Kougias, P.G. & Treu, L. & Campanaro, S. & Angelidaki, I., 2017. "Process performance and comparative metagenomic analysis during co-digestion of manure and lignocellulosic biomass for biogas production," Applied Energy, Elsevier, vol. 185(P1), pages 126-135.
    5. Dandikas, Vasilis & Heuwinkel, Hauke & Lichti, Fabian & Eckl, Thomas & Drewes, Jörg E. & Koch, Konrad, 2018. "Correlation between hydrolysis rate constant and chemical composition of energy crops," Renewable Energy, Elsevier, vol. 118(C), pages 34-42.

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