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Simulation of the Working Volume Reduction through the Bioconversion Model (BioModel) and Its Validation Using Biogas Plant Data for the Prediction of the Optimal Reactor Cleaning Period

Author

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  • Maria-Athina Tsitsimpikou

    (Department of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, GR 54124 Thessaloniki, Greece)

  • Sotirios D. Kalamaras

    (Department of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, GR 54124 Thessaloniki, Greece)

  • Antonios A. Lithourgidis

    (Department of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, GR 54124 Thessaloniki, Greece)

  • Anastasios Mitsopoulos

    (Biogas Lagada S.A., Biogas Plant, Organic Waste Treatment & Electricity Generation, Plot 677 Kolchikou, GR 57200 Kolchiko Lagada, Greece)

  • Lars Ellegaard

    (Burmeister & Wain Scandinavian Contractor, Gydevang 35, DK 3450 Allerød, Denmark)

  • Irini Angelidaki

    (Department of Chemical and Biochemical Engineering, Technical University of Denmark, DK 2800 Kgs Lyngby, Denmark)

  • Thomas A. Kotsopoulos

    (Department of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, GR 54124 Thessaloniki, Greece)

Abstract

The present study focuses on the working volume reduction of anaerobic reactors in biogas plants, which is caused by inorganic material accumulation and inadequate mixing and affects methane production and plant profitability. Precipitation phenomena lead to periodic reactor cleaning processes, which complicate the operation of the plant and increase its operating costs. For this purpose, the bioconversion model (BioModel) was utilized by modifying its conditions to accurately simulate the reduction of the working volume of a biogas plant facing precipitation problems for a study period of 150 days. The modified BioModel exhibited notable results in the prediction of methane production, with an average deviation of 1.97% from the plant’s data. After validation, based on the model results, an equation was set up to predict the optimal reactor cleaning period. Incidentally, the optimal cleaning time was calculated at 5.1 years, which is very close to the period during which the cleaning of the reactors of the studied biogas plant took place (5.5 years). The findings of this research showed that the modified BioModel, along with the developed equation, can be effectively used as a tool for the prediction of the optimal reactor cleaning period.

Suggested Citation

  • Maria-Athina Tsitsimpikou & Sotirios D. Kalamaras & Antonios A. Lithourgidis & Anastasios Mitsopoulos & Lars Ellegaard & Irini Angelidaki & Thomas A. Kotsopoulos, 2023. "Simulation of the Working Volume Reduction through the Bioconversion Model (BioModel) and Its Validation Using Biogas Plant Data for the Prediction of the Optimal Reactor Cleaning Period," Sustainability, MDPI, vol. 15(23), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16157-:d:1284510
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    References listed on IDEAS

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    1. Yermek Abilmazhinov & Kapan Shakerkhan & Vladimir Meshechkin & Yerzhan Shayakhmetov & Nurzhan Nurgaliyev & Anuarbek Suychinov, 2023. "Mathematical Modeling for Evaluating the Sustainability of Biogas Generation through Anaerobic Digestion of Livestock Waste," Sustainability, MDPI, vol. 15(7), pages 1-14, March.
    2. Lovato, Giovanna & Kovalovszki, Adam & Alvarado-Morales, Merlin & Arjuna Jéglot, Arnaud Tristan & Rodrigues, José Alberto Domingues & Angelidaki, Irini, 2021. "Modelling bioaugmentation: Engineering intervention in anaerobic digestion," Renewable Energy, Elsevier, vol. 175(C), pages 1080-1087.
    3. Ombretta Paladino, 2022. "Data Driven Modelling and Control Strategies to Improve Biogas Quality and Production from High Solids Anaerobic Digestion: A Mini Review," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
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