چكيده به لاتين
The current thesis examines the effective parameters on micro-sized microbial fuel cells, emphasizing their application in bio-sensors. At first, by reviewing the studies conducted in this field, the parameters were studied and identified, and then the most effective parameters were selected for numerical study. Numerical parameters affecting performance and efficiency are: operating temperature, external resistance, type of substrate, type of microorganism, concentrations of microorganism and substrate, height (hydraulic radius) of the microchannel, flow rate entering the microchannel and surface area of the electrodes. Numerical results were executed using programming in MATLAB software based on mathematical model, and then power density function was optimized, once using genetic algorithm and again using combination of neural network and particle swarm optimization, and the power density of 2430 W/m3 was obtained. Finally, an experimental study was also conducted in order to verify the accuracy of the numerical studies. Experiments performed for several different anode surface areas (0.4, 1.2, and 2 cm2), several microchannel heights (0.5, 0.8, and 1 mm), ambient temperature range between 275 and 315 K, and Electrical conductivities of different microbes and substrates, three different types of bacteria, different concentrations of microorganisms and substrates, different input flow rates, and different external resistance (1-100 kΩ). Experimental results with an error percentage of less than 10% with numerical results confirm the accuracy of both simulation and experiments. Also, the maximum open circuit voltage recorded is 0.61 V, which shows an increase of more than 10% compared to similar studies.
