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Modeling and optimization of a biogas plant for a demand-driven energy supply

Author

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  • Rieke, C.
  • Stollenwerk, D.
  • Dahmen, M.
  • Pieper, M.

Abstract

Due to the Renewable Energy Act, in Germany it is planned to increase the amount of renewable energy carriers up to 60%. One of the main problems is the fluctuating supply of wind and solar energy. Here biogas plants provide a solution, because a demand-driven supply is possible. Before running such a plant, it is necessary to simulate and optimize the process. This paper provides a new model of a biogas plant, which is as accurate as the standard ADM1 model. The advantage compared to ADM1 is that it is based on only four parameters compared to 28. Applying this model, an optimization was installed, which allows a demand-driven supply by biogas plants. Finally the results are confirmed by several experiments and measurements with a real test plant.

Suggested Citation

  • Rieke, C. & Stollenwerk, D. & Dahmen, M. & Pieper, M., 2018. "Modeling and optimization of a biogas plant for a demand-driven energy supply," Energy, Elsevier, vol. 145(C), pages 657-664.
    • Handle: RePEc:eee:energy:v:145:y:2018:i:c:p:657-664
    DOI: 10.1016/j.energy.2017.12.073
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    References listed on IDEAS

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    1. Szarka, Nora & Scholwin, Frank & Trommler, Marcus & Fabian Jacobi, H. & Eichhorn, Marcus & Ortwein, Andreas & Thrän, Daniela, 2013. "A novel role for bioenergy: A flexible, demand-oriented power supply," Energy, Elsevier, vol. 61(C), pages 18-26.
    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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    Cited by:

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    3. Dotzauer, Martin & Pfeiffer, Diana & Lauer, Markus & Pohl, Marcel & Mauky, Eric & Bär, Katharina & Sonnleitner, Matthias & Zörner, Wilfried & Hudde, Jessica & Schwarz, Björn & Faßauer, Burkhardt & Dah, 2019. "How to measure flexibility – Performance indicators for demand driven power generation from biogas plants," Renewable Energy, Elsevier, vol. 134(C), pages 135-146.
    4. Danijel Topić & Marinko Barukčić & Dražen Mandžukić & Cecilia Mezei, 2020. "Optimization Model for Biogas Power Plant Feedstock Mixture Considering Feedstock and Transportation Costs Using a Differential Evolution Algorithm," Energies, MDPI, vol. 13(7), pages 1-22, April.
    5. Guido Marseglia & Carlo Maria Medaglia & Alessandro Petrozzi & Andrea Nicolini & Franco Cotana & Federico Sormani, 2019. "Experimental Tests and Modeling on a Combined Heat and Power Biomass Plant," Energies, MDPI, vol. 12(13), pages 1-17, July.

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