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A review of simple to scientific models for anaerobic digestion

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  • Kythreotou, Nicoletta
  • Florides, Georgios
  • Tassou, Savvas A.

Abstract

To fully model the anaerobic digestion process, biological and physico-chemical background, the kinetics of bacterial growth, substrate degradation and product formation have to be taken into account. The presented approaches differ depending on the requirements and the developer of the model. Important parameters affecting the process such as temperature, which can cause great inaccuracy, are rarely included in the models. Simple calculators are also available that estimate the applicability of the process to a specific farm and provide information to a farmer or a decision maker. Six simple calculators are presented in this study: AD decision support software, Anaerobic Digestion Economic Assessment Tool, BEAT2, BioGC, FarmWare and GasTheo. The simpler calculators mainly use the relation that exists between volatile solids and biogas production. A tested case of 100 dairy cows and 50 sows was applied to the simple calculators to compare the results.

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  • Kythreotou, Nicoletta & Florides, Georgios & Tassou, Savvas A., 2014. "A review of simple to scientific models for anaerobic digestion," Renewable Energy, Elsevier, vol. 71(C), pages 701-714.
    • Handle: RePEc:eee:renene:v:71:y:2014:i:c:p:701-714
    DOI: 10.1016/j.renene.2014.05.055
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    References listed on IDEAS

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    2. Matheri, A.N. & Ndiweni, S.N. & Belaid, M. & Muzenda, E. & Hubert, R., 2017. "Optimising biogas production from anaerobic co-digestion of chicken manure and organic fraction of municipal solid waste," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 756-764.
    3. Trad, Zaineb & Fontaine, Jean-Pierre & Larroche, Christian & Vial, Christophe, 2016. "Multiscale mixing analysis and modeling of biohydrogen production by dark fermentation," Renewable Energy, Elsevier, vol. 98(C), pages 264-282.
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    5. Li, Heng & Chen, Zheng & Fu, Dun & Wang, Yuanpeng & Zheng, Yanmei & Li, Qingbiao, 2020. "Improved ADM1 for modelling C, N, P fates in anaerobic digestion process of pig manure and optimization approaches to biogas production," Renewable Energy, Elsevier, vol. 146(C), pages 2330-2336.
    6. Zabed, Hossain M. & Akter, Suely & Yun, Junhua & Zhang, Guoyan & Zhang, Yufei & Qi, Xianghui, 2020. "Biogas from microalgae: Technologies, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    7. Oluwafunmilayo Abiola Aworanti & Oluseye Omotoso Agbede & Samuel Enahoro Agarry & Ayobami Olu Ajani & Oyetola Ogunkunle & Opeyeolu Timothy Laseinde & S. M. Ashrafur Rahman & Islam Md Rizwanul Fattah, 2023. "Decoding Anaerobic Digestion: A Holistic Analysis of Biomass Waste Technology, Process Kinetics, and Operational Variables," Energies, MDPI, vol. 16(8), pages 1-36, April.
    8. Martinát, Stanislav & Navrátil, Josef & Dvořák, Petr & Van der Horst, Dan & Klusáček, Petr & Kunc, Josef & Frantál, Bohumil, 2016. "Where AD plants wildly grow: The spatio-temporal diffusion of agricultural biogas production in the Czech Republic," Renewable Energy, Elsevier, vol. 95(C), pages 85-97.
    9. do Carmo Precci Lopes, Alice & Mudadu Silva, Cláudio & Pereira Rosa, André & de Ávila Rodrigues, Fábio, 2018. "Biogas production from thermophilic anaerobic digestion of kraft pulp mill sludge," Renewable Energy, Elsevier, vol. 124(C), pages 40-49.
    10. Zarei, Sasan & Mousavi, Seyyed Mohammad & Amani, Teimour & Khamforoush, Mehrdad & Jafari, Arezou, 2021. "Three-dimensional CFD simulation of anaerobic reactions in a continuous packed-bed bioreactor," Renewable Energy, Elsevier, vol. 169(C), pages 461-472.
    11. Shen, Jian & Yan, Hu & Zhang, Ruihong & Liu, Guangqing & Chen, Chang, 2018. "Characterization and methane production of different nut residue wastes in anaerobic digestion," Renewable Energy, Elsevier, vol. 116(PA), pages 835-841.
    12. Kovalovszki, Adam & Treu, Laura & Ellegaard, Lars & Luo, Gang & Angelidaki, Irini, 2020. "Modeling temperature response in bioenergy production: Novel solution to a common challenge of anaerobic digestion," Applied Energy, Elsevier, vol. 263(C).
    13. Nixon, J.D., 2016. "Designing and optimising anaerobic digestion systems: A multi-objective non-linear goal programming approach," Energy, Elsevier, vol. 114(C), pages 814-822.
    14. Jan Martin Zepter & Jan Engelhardt & Tatiana Gabderakhmanova & Mattia Marinelli, 2021. "Empirical Validation of a Biogas Plant Simulation Model and Analysis of Biogas Upgrading Potentials," Energies, MDPI, vol. 14(9), pages 1-19, April.
    15. Willeghems, Gwen & Buysse, Jeroen, 2016. "Changing old habits: The case of feeding patterns in anaerobic digesters," Renewable Energy, Elsevier, vol. 92(C), pages 212-221.
    16. Liu, Jin & Smith, Stephen R., 2020. "A multi-level biogas model to optimise the energy balance of full-scale sewage sludge conventional and THP anaerobic digestion," Renewable Energy, Elsevier, vol. 159(C), pages 756-766.

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