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Diagnostic concept for dynamically operated biogas production plants

Author

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  • Bensmann, Astrid
  • Hanke-Rauschenbach, Richard
  • Heyer, Robert
  • Kohrs, Fabian
  • Benndorf, Dirk
  • Kausmann, Robert
  • Plöchl, Matthias
  • Heiermann, Monika
  • Reichl, Udo
  • Sundmacher, Kai

Abstract

With today's growing focus on on-demand energy production, the dynamic operation of biogas plants is becoming more and more important. Detecting unacceptable load changes and so preventing process failures is vital. In the present contribution, we propose an operating scheme that includes the detection of disturbances and intervention. This is then evaluated systematically with the help of a mathematical model for step changes in the organic loading rate. We summarize the qualitative results for each diagnosis variable in an operation diagram, enabling an intuitive, comprehensive comparison. Of the diagnosis variables analyzed, we find that the most promising for identifying incipient process failures in biogas plants are the volatile fatty acids to total alkalinity ratio (VFA/TA), followed by the ratio of methane to carbon dioxide γ in the biogas. In addition, the combination of the online measured variables pH value and gas composition can reveal disturbances early on in a wide range of different conditions.

Suggested Citation

  • Bensmann, Astrid & Hanke-Rauschenbach, Richard & Heyer, Robert & Kohrs, Fabian & Benndorf, Dirk & Kausmann, Robert & Plöchl, Matthias & Heiermann, Monika & Reichl, Udo & Sundmacher, Kai, 2016. "Diagnostic concept for dynamically operated biogas production plants," Renewable Energy, Elsevier, vol. 96(PA), pages 479-489.
    • Handle: RePEc:eee:renene:v:96:y:2016:i:pa:p:479-489
    DOI: 10.1016/j.renene.2016.04.098
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    References listed on IDEAS

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    1. Bensmann, A. & Hanke-Rauschenbach, R. & Heyer, R. & Kohrs, F. & Benndorf, D. & Reichl, U. & Sundmacher, K., 2014. "Biological methanation of hydrogen within biogas plants: A model-based feasibility study," Applied Energy, Elsevier, vol. 134(C), pages 413-425.
    2. Hahn, Henning & Krautkremer, Bernd & Hartmann, Kilian & Wachendorf, Michael, 2014. "Review of concepts for a demand-driven biogas supply for flexible power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 383-393.
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    1. Gurinderpal Singh & VK Jain & Amanpreet Singh, 2018. "Adaptive network architecture and firefly algorithm for biogas heating model aided by photovoltaic thermal greenhouse system," Energy & Environment, , vol. 29(7), pages 1073-1097, November.
    2. Wang, Xuemei & Yan, Rui & Zhao, Yuying & Cheng, Shikun & Han, Yanzhao & Yang, Shuo & Cai, Di & Mang, Heinz-Peter & Li, Zifu, 2020. "Biogas standard system in China," Renewable Energy, Elsevier, vol. 157(C), pages 1265-1273.
    3. Montecchio, D. & Braguglia, C.M. & Gallipoli, A. & Gianico, A., 2017. "A model-based tool for reactor configuration of thermophilic biogas plants fed with Waste Activated Sludge," Renewable Energy, Elsevier, vol. 113(C), pages 411-419.
    4. Susanne Theuerl & Johanna Klang & Annette Prochnow, 2019. "Process Disturbances in Agricultural Biogas Production—Causes, Mechanisms and Effects on the Biogas Microbiome: A Review," Energies, MDPI, vol. 12(3), pages 1-20, January.

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