Statistical analysis and optimization of fuel cells using the design of experiment

Abstract

Evidently, paper-based microfluidic devices, including fuel cells, have been proven to power low-power integrated miniaturized devices. However, the harvested energy depends on various design parameters, positioning and other ancillary factors. Herein, design of experiment is used to make a boisterous study of the data used in paper-based microfluidic fuel cell and to make various optimizations and studies of the raw data used in the microbial fuel cell paper. The paper-based microfluidic fuel cell was analysed for two different positioning, horizontal and vertical, and the maximum power outputs were noted. A statistical technique based on full factorial design was used to study the performance of paper-based microfluidic fuel cell. In the microbial fuel cell, a rigorous study was conducted pertaining to the electrode separation, channel variation and absorbent pad stability. In both these cases, the analysis of mean, analysis of variance, signal-to-noise ratio and desirability study were performed. For the paper-based microfluidic fuel cell, the best desirability values for the horizontal and vertical arrangements were measured to be 0.8842 and 0.92768, respectively. For the microbial fuel cell, in the case of 2 mm electrode separation, the present analysis of variance model came out to be significant. Inclusively, this work provides a pathway to realize optimum paper-based microfluidic fuel cell, and such study can be extrapolated to develop other microfluidic devices.