A steady-state electrical model of a microbial fuel cell through multiple-cycle polarization curves. (January 2020)

• Record Type: Journal Article
• Authors: Serra, P.M.D.; Espírito-Santo, A.; Magrinho, M.
• Is Part Of: Renewable & sustainable energy reviews. Volume 117(2020)
• Publication Date: 2020-01
• Subjects: Microbial fuel cells -- Energy harvesting -- Electrical model -- Internal resistance -- Maximum power; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2019.109439
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: The use of Microbial Fuel Cells as power sources in rural or remote locations can solve issues related with power availability and wastewater cleaning. Furthermore, the application of such technology in wireless smart sensors applied to wastewater treatment plants can also help in water quality monitoring, increasing the process autonomy and reliability. A trustworthy power source needs to have a predictable and repeatable behavior, which cannot be achieved without adequate models and supporting hardware for energy regulation and storage. The work herein described proposes a steady-state model, represented by an electric circuit made of passive components. This model was first applied to a specific 28 mL air-cathode Microbial Fuel Cells working with artificial wastewater and using graphite brush anodes. Afterwards, the model was further validated by applying it to a larger reactor and to other bibliographic records. The goal of the study is to propose a method for finding a Microbial Fuel Cell model to be used with maximum power point tracking research, guaranteeing the best-case scenario for Microbial Fuel Cell operation as a power source. The reactors used in this study were analyzed by relating time and voltage development, both in colonization and in polarization studies. A mathematical relationship model was developed and proposed allowing to separate MFC's behavior, concerning energy production, in to meaningful components. From the experimental data the method was used to obtain a two-component circuit model that describes the power behavior of this specific Microbial Fuel Cell topology. The same method can be used to described other MFC. Highlights: Power development on Microbial Fuel Cells is not linear with time, external load or reactor volume. The internal resistance of a Microbial Fuel Cell can be approximated without using a potentiostat. The polarization curve equation can be estimated and further used for power studies. The proposed method allows quantifying each of the power losses. The steady-state power development of Microbial Fuel Cells can be modeled by a Voltage Source and a Resistance.