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Specifically, the dimensions of current collection ribs as well as the rib distribution were optimized to get a maximized power density in a fuel cell.
Improvement in the design of current collecting and flow delivery system is therefore important to the high efficiency and maximized power density in fuel cells.
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From an asymptotic analysis, closed-form expressions are derived for the optimal geometric parameters that maximize power density.
A computational model for fuel cell is used together with a numerical optimization method to determine the optimum porosity distribution along the length of the channel, with the objective of maximizing power density while limiting the current density variation.
This paper concludes with a discussion on the various trade-offs between maximizing power density and optimizing fuel utilization per pass for individual LFFCs, in light of scaling out to a multichannel LFFC-based power source system.
Based on asymptotic relations for the effectiveness in the small and large channel limit, closed-form expressions are derived for the optimum geometric parameters that maximize power density in the limit of design effectiveness approaching unity.
Then a multi-objective problem (MOP) model is applied and computed optimally by non-dominated sorting genetic algorithm (NSGA-II) with the aim of maximizing power density and temperature difference as well as minimizing the flow-induced vibration.
Response Surface Methodology (RSM) when combined with the Propagation of Error (PoE) approach offers an efficient robust design able to find the best operating conditions to simultaneously maximize power density and reduce normal operation variability in a hydrogen-fed Proton Exchange Membrane Fuel Cell (PEMFC).
The mechanical design of the energy harvester plays an important role in defining the resonant frequency characteristics of the system and therefore in order to maximize power density it is important for a designer to be able to model, simulate and optimise designs to match new target applications.
However, less focus was paid on determining the operating conditions which will maximize the power density of PEMFCs.
To maximize the power density of the generator, a parametric study by means of analytical modeling and FEM simulation has been performed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com