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A generalized whole-cell model for wastewater-fed microbial fuel cells

Author

Listed:
  • Littfinski, Tobias
  • Stricker, Max
  • Nettmann, Edith
  • Gehring, Tito
  • Hiegemann, Heinz
  • Krimmler, Stefan
  • Lübken, Manfred
  • Pant, Deepak
  • Wichern, Marc

Abstract

A comprehensive mathematical modeling of wastewater-fed microbial fuel cells (MFC) demands an in-depth process understanding of the main electrical and bioelectrochemical interactions at both electrodes. In this study, a novel holistic simulation approach using a low-parameterized model was applied to predict pollutant transport, conversion, and electrical processes of mixed-culture single-chamber MFCs. The proposed whole-cell model couples the combined bioelectrochemical-electrical model with the well-established Activated Sludge Model No.1 (ASM1) and specific equations from ASM2. The cathodic gas–liquid mass transfer of oxygen and free ammonia nitrogen was described in terms of a diffusion film model, while the diminishing diffusivity due to salt deposits was considered via a fouling decline kinetic model. The predictive capacity of the model was validated using experimental data of three continuous-flow single-chamber MFCs operated with municipal wastewater for 150 days. Electrochemical parameters were estimated in real-time by pulse-width modulated connection of the external electrical load resistance. Following a sensitivity analysis, the most relevant model parameters were optimized through the Monte-Carlo Markov-Chain method using the adaptive Metropolis algorithm. All other parameters were adopted from benchmark simulation studies. The simulated relative contributions of aerobic carbon oxidation, denitrification, electrogenesis, and methanogenesis to the total COD removal rate were 21–22%, 44–45%, 21–25%, and 9–14%. Overall, the presented whole-cell model is able to successfully predict the evolution of electricity generation, methane production, and effluent concentrations (soluble COD and total ammonia nitrogen) under different hydraulic conditions and organic loading rates.

Suggested Citation

  • Littfinski, Tobias & Stricker, Max & Nettmann, Edith & Gehring, Tito & Hiegemann, Heinz & Krimmler, Stefan & Lübken, Manfred & Pant, Deepak & Wichern, Marc, 2022. "A generalized whole-cell model for wastewater-fed microbial fuel cells," Applied Energy, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:appene:v:321:y:2022:i:c:s0306261922006742
    DOI: 10.1016/j.apenergy.2022.119324
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    1. Kumar, Ravinder & Singh, Lakhveer & Zularisam, A.W., 2016. "Exoelectrogens: Recent advances in molecular drivers involved in extracellular electron transfer and strategies used to improve it for microbial fuel cell applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1322-1336.
    2. John Geweke, 1991. "Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments," Staff Report 148, Federal Reserve Bank of Minneapolis.
    3. Shirin Fallahi & Hans J Skaug & Guttorm Alendal, 2020. "A comparison of Monte Carlo sampling methods for metabolic network models," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-24, July.
    4. Hussnain Mukhtar & Yu-Pin Lin & Oleg V. Shipin & Joy R. Petway, 2017. "Modeling Nitrogen Dynamics in a Waste Stabilization Pond System Using Flexible Modeling Environment with MCMC," IJERPH, MDPI, vol. 14(7), pages 1-15, July.
    5. Soetaert, Karline & Petzoldt, Thomas & Setzer, R. Woodrow, 2010. "Solving Differential Equations in R: Package deSolve," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i09).
    6. Dirk J.W. De Pauw & Peter A. Vanrolleghem, 2006. "Practical aspects of sensitivity function approximation for dynamic models," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 12(5), pages 395-414, October.
    7. Soetaert, Karline & Petzoldt, Thomas, 2010. "Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i03).
    8. Kadier, Abudukeremu & Kalil, Mohd Sahaid & Abdeshahian, Peyman & Chandrasekhar, K. & Mohamed, Azah & Azman, Nadia Farhana & Logroño, Washington & Simayi, Yibadatihan & Hamid, Aidil Abdul, 2016. "Recent advances and emerging challenges in microbial electrolysis cells (MECs) for microbial production of hydrogen and value-added chemicals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 501-525.
    9. Zhou, Lean & Liao, Chengmei & Li, Tian & An, Jingkun & Du, Qing & Wan, Lili & Li, Nan & Pan, Xiaoqiang & Wang, Xin, 2018. "Regeneration of activated carbon air-cathodes by half-wave rectified alternating fields in microbial fuel cells," Applied Energy, Elsevier, vol. 219(C), pages 199-206.
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    1. Hu, Xiaoyi & Tan, Xinru & Shi, Xiaomin & Liu, Wenjun & Ouyang, Tiancheng, 2023. "An integrated assessment of microfluidic microbial fuel cell subjected to vibration excitation," Applied Energy, Elsevier, vol. 336(C).

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