Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells

This paper presents a microbial fuel cell (MFC) model designed to analyze the effect of the external load on MFC performance. The model takes into account the voltage and the chemical oxygen demand (COD) dependence on the external load. The value of the model parameters were calibrated by means of t...

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Autores: Potrykus , Szymon, Nieznanski , Janusz, Kutt , Filip, Fernández Morales, Francisco Jesús
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/42037
Acceso en línea:https://doi.org/10.1016/j.biortech.2024.131761
https://hdl.handle.net/10578/42037
Access Level:acceso abierto
Palabra clave:Chemical oxygen demand
Equivalent circuit
Microbial fuel cells
Modeling
Voltage relaxation method
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spelling Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cellsPotrykus , SzymonNieznanski , JanuszKutt , FilipFernández Morales, Francisco JesúsChemical oxygen demandEquivalent circuitMicrobial fuel cellsModelingVoltage relaxation methodThis paper presents a microbial fuel cell (MFC) model designed to analyze the effect of the external load on MFC performance. The model takes into account the voltage and the chemical oxygen demand (COD) dependence on the external load. The value of the model parameters were calibrated by means of the voltage relaxation method tests using a controlled load current. Laboratory measurements and MATLAB Simulink model computations were used to validate the proposed model. The tests results demonstrated that the proposed model accurately predicts the voltage and COD evolution during the batch cycle of the MFC. The root mean square error (RMSE) was used to assess the fitting goodness of the model. The RMSE of COD and voltage generation was in all the cases lower than 4%, predicting accurately the behaviour of single MFC as well as MFC connected in series or parallel.This paper presents a microbial fuel cell (MFC) model designed to analyze the effect of the external load on MFC performance. The model takes into account the voltage and the chemical oxygen demand (COD) dependence on the external load. The value of the model parameters were calibrated by means of the voltage relaxation method tests using a controlled load current. Laboratory measurements and MATLAB Simulink model computations were used to validate the proposed model. The tests results demonstrated that the proposed model accurately predicts the voltage and COD evolution during the batch cycle of the MFC. The root mean square error (RMSE) was used to assess the fitting goodness of the model. The RMSE of COD and voltage generation was in all the cases lower than 4%, predicting accurately the behaviour of single MFC as well as MFC connected in series or parallel.ELSEVIER SCI LTD202520252025info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.1016/j.biortech.2024.131761https://hdl.handle.net/10578/42037reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/420372026-05-27T07:36:41Z
dc.title.none.fl_str_mv Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
title Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
spellingShingle Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
Potrykus , Szymon
Chemical oxygen demand
Equivalent circuit
Microbial fuel cells
Modeling
Voltage relaxation method
title_short Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
title_full Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
title_fullStr Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
title_full_unstemmed Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
title_sort Modeling the effect of external load variations on single, serie and parallel connected microbial fuel cells
dc.creator.none.fl_str_mv Potrykus , Szymon
Nieznanski , Janusz
Kutt , Filip
Fernández Morales, Francisco Jesús
author Potrykus , Szymon
author_facet Potrykus , Szymon
Nieznanski , Janusz
Kutt , Filip
Fernández Morales, Francisco Jesús
author_role author
author2 Nieznanski , Janusz
Kutt , Filip
Fernández Morales, Francisco Jesús
author2_role author
author
author
dc.subject.none.fl_str_mv Chemical oxygen demand
Equivalent circuit
Microbial fuel cells
Modeling
Voltage relaxation method
topic Chemical oxygen demand
Equivalent circuit
Microbial fuel cells
Modeling
Voltage relaxation method
description This paper presents a microbial fuel cell (MFC) model designed to analyze the effect of the external load on MFC performance. The model takes into account the voltage and the chemical oxygen demand (COD) dependence on the external load. The value of the model parameters were calibrated by means of the voltage relaxation method tests using a controlled load current. Laboratory measurements and MATLAB Simulink model computations were used to validate the proposed model. The tests results demonstrated that the proposed model accurately predicts the voltage and COD evolution during the batch cycle of the MFC. The root mean square error (RMSE) was used to assess the fitting goodness of the model. The RMSE of COD and voltage generation was in all the cases lower than 4%, predicting accurately the behaviour of single MFC as well as MFC connected in series or parallel.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.biortech.2024.131761
https://hdl.handle.net/10578/42037
url https://doi.org/10.1016/j.biortech.2024.131761
https://hdl.handle.net/10578/42037
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv ELSEVIER SCI LTD
publisher.none.fl_str_mv ELSEVIER SCI LTD
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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