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The optimal power density approaches 232.75 mwhen−1 when the fuel cell is operated at ambient condition with humidified, heated fuel.
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We develop a tractable algorithms for finding the optimal power spectral density of the Gaussian input excitation for identifying a Wiener model.
This follows easily by setting (and and recalling that the optimal power spectral density (7) can be approximated arbitrarily well by the frequency response in (10) as the number of taps increases [19] (which corresponds to perfect cooperation among the MSs).
Parameters considered when determining an optimal design include power density, fuel utilization and energy efficiencies and water balance coefficients.
The present work proposes the optimal design of a power density model for PEMFCs based on the artificial intelligence approach of support vector machine (SVM).
From an asymptotic analysis, closed-form expressions are derived for the optimal geometric parameters that maximize power density.
The decal MEA prepared under optimal conditions delivers a peak power density of 115 mW cm−2 at 60 °C, which is substantially high in a DMFC operation.
Using the obtained compromise point, though the heat sink efficiency is reduced by 20.93% compared to that without the optimal design, the TEG output power density is increased by 88.70%.
However, better cell performance is observed for the cell with dual-layer structured cathode, and the optimal cell reaches a peak power density of about 800 mW cm− 2 at 50 °C with humidified hydrogen and oxygen as fuel and oxidant respectively.
The convexity of ASR is also verified, and we evaluate the optimal power of SUs when the density of SUs is fixed.
From the statistical correlation among these parameters, feed pH of 7.6 8.5, distance between electrode of 90 100 cm and external resistance of 0 52 Ω were found to be optimum for achieving optimal COD removal, TN removal and power density.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com