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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nandy, A., Kundu, P.: Configurations of microbial fuel cells. Progress Recent Trends Microb. Fuel Cells, 25–45 (2018)
Aelterman, P., Rabaey, K., Clauwaert, P., Verstraete, W.: Microbial fuel cells for wastewater treatment. Water Sci. Technol. 54, 9–15 (2006)
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)
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)
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)
Wang, L., Zhao, W.: System identification: new paradigms, challenges, and opportunities. Acta Autom. Sinica 39, 933–942 (2013)
Schoukens, J., Vandersteen, G., Barbé, K., Pintelon, R.: Nonparametric preprocessing in system identification: a powerful tool. Eur. J. Control. 15, 260–274 (2009)
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)
Ozdemir, A., Gumussoy, S.: Transfer function estimation in system identification toolbox via vector fitting. IFAC PapersOnLine 50(1), 6232–6237 (2017)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
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
DOI: https://doi.org/10.1007/978-3-030-18068-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-18067-6
Online ISBN: 978-3-030-18068-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)