Skip to main content

Microbial Fuel Cell Laboratory Setup

  • Chapter
  • First Online:
Adaptive and Intelligent Control of Microbial Fuel Cells

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 161))

Abstract

In this chapter, MFC development in laboratory scale using cow manure as a waste, is described. Details of the materials used for the experiment is provided with their size and volume. The behavior of MFC is studied as per the experimental data of inputs and output. The transfer functions of anode and cathode chamber are obtained through a system identification approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Nandy, A., Kundu, P.: Configurations of microbial fuel cells. Progress Recent Trends Microb. Fuel Cells, 25–45 (2018)

    Google Scholar 

  2. Aelterman, P., Rabaey, K., Clauwaert, P., Verstraete, W.: Microbial fuel cells for wastewater treatment. Water Sci. Technol. 54, 9–15 (2006)

    Google Scholar 

  3. Vijay, A., Vaishnava, M., Chhabra, M.: Microbial fuel cell assisted nitrate nitrogen removal using cow manure and soil. Environ. Sci. Pollut. Res. 23, 7744–7756 (2016)

    Article  Google Scholar 

  4. Jessica, L.: An experimental study of microbial fuel cells for electricity generating: performance characterization and capacity improvement. J. Sustain. Bioenerg. Syst. 3, 171–178 (2013)

    Article  Google Scholar 

  5. Sleutels, T.H.J.A., Ter Heijne, A., Buisman, C.J.N., Hamelers, H.V.M.: Bioelectrochemical systems: an outlook for practical applications. ChemSusChem 5(6), 1012–1019 (2012)

    Article  Google Scholar 

  6. Wang, L., Zhao, W.: System identification: new paradigms, challenges, and opportunities. Acta Autom. Sinica 39, 933–942 (2013)

    Article  MathSciNet  Google Scholar 

  7. Schoukens, J., Vandersteen, G., Barbé, K., Pintelon, R.: Nonparametric preprocessing in system identification: a powerful tool. Eur. J. Control. 15, 260–274 (2009)

    Article  MathSciNet  Google Scholar 

  8. Saengphet, W., Tantrairatn, S., Thumtae, C., Srisertpol, J.: Implementation of system identification and flight control system for UAV. In: 3rd International Conference on Control, Automation and Robotics, pp. 678–683 (2013)

    Google Scholar 

  9. Ozdemir, A., Gumussoy, S.: Transfer function estimation in system identification toolbox via vector fitting. IFAC PapersOnLine 50(1), 6232–6237 (2017)

    Article  Google Scholar 

  10. Deb, A., Roychoudhury, S., Sarkar, G.: System identification: parameter estimation of transfer function. In: Analysis and Identification of Time-Invariant Systems, Time-Varying Systems, and Multi-Delay Systems using Orthogonal Hybrid Functions. Studies in Systems, Decision and Control, vol. 46. Springer, Cham (2016)

    Google Scholar 

  11. Schijndel, A.W.M.: The Use of system identification tools in MatLab for transfer functions. In: 3rd Annual Meeting of Climate for Culture Project (CfC), EU-FP7-Project no.: 226873, Visby, Sweden, pp. 1–34 (2011)

    Google Scholar 

  12. Fruk, M., Vujisić, G., Špoljarić, T.: Parameter identification of transfer functions using MATLAB. In: 36th International Convention on Information and Communication Technology, Electronics and Microelectronics, pp. 697–702 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Ravi Patel , Dipankar Deb , Rajeeb Dey or Valentina E. Balas .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Patel, R., Deb, D., Dey, R., E. Balas, V. (2020). Microbial Fuel Cell Laboratory Setup. In: Adaptive and Intelligent Control of Microbial Fuel Cells. Intelligent Systems Reference Library, vol 161. Springer, Cham. https://doi.org/10.1007/978-3-030-18068-3_9

Download citation

Publish with us

Policies and ethics