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Modeling the Methane Production Kinetics of Anaerobic Co-Digestion of Agricultural Wastes Using Sigmoidal Functions

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  • Huayong Zhang

    (Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China)

  • Di An

    (Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China)

  • Yudong Cao

    (Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China)

  • Yonglan Tian

    (Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China)

  • Jinxian He

    (Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing 102206, China)

Abstract

The modified sigmoidal bacteria growth functions (the modified Gompertz, logistic, and Richards) were used to evaluate the methane production process kinetics of agricultural wastes. The mesophilic anaerobic co-digestion experiments were conducted with various agricultural wastes as feedstocks, including cow manure, corn straw, grape leaves, vines, wine residue, strawberry leaves, and tomato leaves. The results showed that anaerobic co-digestion of cow manure and other agricultural wastes increased the methane yields while it prolonged the lag phase time. Compared with the modified Gompertz and logistic models, the modified Richards model obtained higher correlation coefficients and was able to fit experimental data better. The results of this study were expected to determine a suitable model to simulate and study the kinetic process of anaerobic co-digestion with mixed agricultural wastes as feedstocks.

Suggested Citation

  • Huayong Zhang & Di An & Yudong Cao & Yonglan Tian & Jinxian He, 2021. "Modeling the Methane Production Kinetics of Anaerobic Co-Digestion of Agricultural Wastes Using Sigmoidal Functions," Energies, MDPI, vol. 14(2), pages 1-12, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:258-:d:475279
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    References listed on IDEAS

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    1. 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.
    2. Xiaofeng Li & Jingjing Huang & Yiyun Liu & Tao Huang & Claudia Maurer & Martin Kranert, 2019. "Effects of Salt on Anaerobic Digestion of Food Waste with Different Component Characteristics and Fermentation Concentrations," Energies, MDPI, vol. 12(18), pages 1-14, September.
    3. Bożym, Marta & Florczak, Iwona & Zdanowska, Paulina & Wojdalski, Janusz & Klimkiewicz, Marek, 2015. "An analysis of metal concentrations in food wastes for biogas production," Renewable Energy, Elsevier, vol. 77(C), pages 467-472.
    4. Ware, Aidan & Power, Niamh, 2017. "Modelling methane production kinetics of complex poultry slaughterhouse wastes using sigmoidal growth functions," Renewable Energy, Elsevier, vol. 104(C), pages 50-59.
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    Cited by:

    1. Emebu, Samuel & Pecha, Jiří & Janáčová, Dagmar, 2022. "Review on anaerobic digestion models: Model classification & elaboration of process phenomena," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. 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.

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