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Practicality of the Convolutional Solution Method of the Polarization Estimation Inverse Problem for Solid Oxide Fuel Cells


Abstract A specific species of the genus Geobacter exhibits useful electrical properties when processing a molecule often found in waste water. A team at ASU including Dr Cèsar Torres and Dr Sudeep Popat used that species to create a special type of solid oxide fuel cell we refer to as a microbial fuel cell. Identification of possible chemical processes and properties of the reactions used by the Geobacter are investigated indirectly by taking measurements using Electrochemical Impedance Spectroscopy of the electrode-electrolyte interface of the microbial fuel cell to obtain the value of the fuel cell's complex impedance at specific frequencies. Investigation of the multiple polarization processes which give rise to measured impedance values is ... (more)
Created Date 2016-05
Contributor Baker, Robert Simpson (Author) / Renaut, Rosemary (Thesis Director) / Kostelich, Eric (Committee Member) / School of Mathematical and Statistical Sciences / Barrett, The Honors College
Subject Inverse Problems / Fuel Cells / DRT
Series Academic Year 2015-2016
Type Text
Extent 23 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Collaborating Institutions Barrett, the Honors College
Additional Formats MODS / OAI Dublin Core / RIS


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