Banca de DEFESA: MATHEUS HENRIQUE ALCÂNTARA DE LIMA CARDOZO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : MATHEUS HENRIQUE ALCÂNTARA DE LIMA CARDOZO
DATE: 15/02/2024
TIME: 13:30
LOCAL: htps://meet.google.com/yqt-drgb-ccn
TITLE:

Statistical study of the influence and significance of parameters operational effects on the performance of microbial energy cells

KEY WORDS:

 bioelectrochemistry; fuzzy logic; design of experiments

PAGES: 73
BIG AREA: Engenharias
AREA: Engenharia Química
SUBÁREA: Processos Industriais de Engenharia Química
SPECIALTY: Processos Bioquímicos
SUMMARY:

Microbial energy cells (CEM) are a technology of interest in the current scenario, as they simultaneously enable the biotreatment of waste and the biogeneration of electrical energy.In order to optimize EMF applications, there is interest in investigating the variables that most significantly affect their performance, since these devices are complex systems.Within the scope of this discussion, this work aimed to employ fuzzy logic combined with the experimental planning technique to statistically evaluate how the operating parameters of microbial energy cells influence their performance.Through a bibliographical survey based on publications in the area on the Google Scholar platform over the last 10 years, it was noticed that the variables anode area, external electrical resistance and device volume are the most reported input parameters in research with EMF andthat current density and power density generated are the output parameters most frequently portrayed in these studies, which is why these were the variables selected for statistical investigation.By applying computational simulations and subsequent experimental planning, it was noted that, for both outputs studied, device volume and anode area showed a positive effect, while the external electrical resistance variable showed a negative effect.It was also possible to develop mathematical models that indicated the relationship between each of the input variables and the outputs studied, with statistical significance for the model referring to power density (R2 = 86%).For the laboratory stage, a duplicate test was conducted for 30 days with daily measurement of the potential difference generated in the EMF, from which real power density data were calculated.The comparison of power density obtained in laboratory experiments (818.39 mV/m2) showed a good fit in relation to the prediction made using the mathematical model developed for power density (818.36 mV/m2).

BANKING MEMBERS:
Presidente - 1811284 - EDSON ROMANO NUCCI
Interno - 2028441 - BOUTROS SARROUH
Interno - 1810291 - DEMIAN PATRICK FABIANO
Externa ao Programa - 2029466 - ISABEL CRISTINA BRAGA RODRIGUES
Externo à Instituição - ANDRE AGUIAR MENDES - UNIFEI