IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v321y2022ics0306261922006742.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922006742
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.119324?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    8. 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.
    9. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Venolia, Celeste T. & Lavaud, Romain & Green-Gavrielidis, Lindsay A. & Thornber, Carol & Humphries, Austin T., 2020. "Modeling the Growth of Sugar Kelp (Saccharina latissima) in Aquaculture Systems using Dynamic Energy Budget Theory," Ecological Modelling, Elsevier, vol. 430(C).
    2. Tom Shatwell & Jan Köhler & Andreas Nicklisch, 2014. "Temperature and Photoperiod Interactions with Phosphorus-Limited Growth and Competition of Two Diatoms," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-15, July.
    3. Husson, Bérengère & Sarrazin, Jozée & van Oevelen, Dick & Sarradin, Pierre-Marie & Soetaert, Karline & Menesguen, Alain, 2018. "Modelling the interactions of the hydrothermal mussel Bathymodiolus azoricus with vent fluid," Ecological Modelling, Elsevier, vol. 377(C), pages 35-50.
    4. Buddhavarapu, Prasad & Bansal, Prateek & Prozzi, Jorge A., 2021. "A new spatial count data model with time-varying parameters," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 566-586.
    5. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    6. Zhou, W. & O’Neill, E. & Moncaster, A. & Reiner, D. & Guthrie, P., 2019. "Applying Bayesian Model Averaging to Characterise Urban Residential Stock Turnover Dynamics," Cambridge Working Papers in Economics 1986, Faculty of Economics, University of Cambridge.
    7. Dawid Nosek & Piotr Jachimowicz & Agnieszka Cydzik-Kwiatkowska, 2020. "Anode Modification as an Alternative Approach to Improve Electricity Generation in Microbial Fuel Cells," Energies, MDPI, vol. 13(24), pages 1-22, December.
    8. Atahan Afsar; José Elías Gallegos; Richard Jaimes; Edgar Silgado Gómez & José Elías Gallegos & Richard Jaimes & Edgar Silgado Gómez, 2020. "Reconciling Empirics and Theory: The Behavioral Hybrid New Keynesian Model," Vniversitas Económica, Universidad Javeriana - Bogotá, vol. 0(0), pages 1-41, December.
    9. Bai, Yizhou & Xue, Cheng, 2021. "An empirical study on the regulated Chinese agricultural commodity futures market based on skew Ornstein-Uhlenbeck model," Research in International Business and Finance, Elsevier, vol. 57(C).
    10. Khan, Mohd Atiqueuzzaman & Ngo, Huu Hao & Guo, Wenshan & Liu, Yiwen & Zhang, Xinbo & Guo, Jianbo & Chang, Soon Woong & Nguyen, Dinh Duc & Wang, Jie, 2018. "Biohydrogen production from anaerobic digestion and its potential as renewable energy," Renewable Energy, Elsevier, vol. 129(PB), pages 754-768.
    11. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2012. "The directional identification problem in Bayesian factor analysis: An ex-post approach," Kiel Working Papers 1799, Kiel Institute for the World Economy (IfW Kiel).
    12. Yang, Wei & Bao, Jingjing & Liu, Hongtao & Zhang, Jun & Guo, Lin, 2023. "Low-grade heat to hydrogen: Current technologies, challenges and prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    13. Rousseau, Raphaël & Etcheverry, Luc & Roubaud, Emma & Basséguy, Régine & Délia, Marie-Line & Bergel, Alain, 2020. "Microbial electrolysis cell (MEC): Strengths, weaknesses and research needs from electrochemical engineering standpoint," Applied Energy, Elsevier, vol. 257(C).
    14. Hanson, Paul C. & Stillman, Aviah B. & Jia, Xiaowei & Karpatne, Anuj & Dugan, Hilary A. & Carey, Cayelan C. & Stachelek, Joseph & Ward, Nicole K. & Zhang, Yu & Read, Jordan S. & Kumar, Vipin, 2020. "Predicting lake surface water phosphorus dynamics using process-guided machine learning," Ecological Modelling, Elsevier, vol. 430(C).
    15. Kumar, R. & Strezov, V., 2021. "Thermochemical production of bio-oil: A review of downstream processing technologies for bio-oil upgrading, production of hydrogen and high value-added products," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    16. Fatima-Zahra Jaouimaa & Daniel Dempsey & Suzanne Van Osch & Stephen Kinsella & Kevin Burke & Jason Wyse & James Sweeney, 2021. "An age-structured SEIR model for COVID-19 incidence in Dublin, Ireland with framework for evaluating health intervention cost," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-25, December.
    17. Michael T. Owyang, 2002. "Modeling Volcker as a non-absorbing state: agnostic identification of a Markov-switching VAR," Working Papers 2002-018, Federal Reserve Bank of St. Louis.
    18. Kumar, Aman & Singh, Ekta & Mishra, Rahul & Lo, Shang Lien & Kumar, Sunil, 2023. "Global trends in municipal solid waste treatment technologies through the lens of sustainable energy development opportunity," Energy, Elsevier, vol. 275(C).
    19. Belém Barbosa & José Ramón Saura & Dag Bennett, 2024. "How do entrepreneurs perform digital marketing across the customer journey? A review and discussion of the main uses," The Journal of Technology Transfer, Springer, vol. 49(1), pages 69-103, February.
    20. Hu, Jianjun & Zhang, Quanguo & Lee, Duu-Jong & Ngo, Huu Hao, 2018. "Feasible use of microbial fuel cells for pollution treatment," Renewable Energy, Elsevier, vol. 129(PB), pages 824-829.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:321:y:2022:i:c:s0306261922006742. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.