Sentence examples for maximizing power density from inspiring English sources

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.

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.

From an asymptotic analysis, closed-form expressions are derived for the optimal geometric parameters that maximize power density.

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.

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.

It is shown that use of an optimally graded porosity distribution improves the uniformity in current density along the length of the channel by up to a factor of 10, while maximizing the power density.

Based on a systematic parametric analysis on the various physical and electrochemical phenomena, feasible operating regimes and optimal design conditions are identified with the objective of maximizing the power density subject to constraints.

Hourly, daily, monthly and annual performance of a DSSC installation is systematically analyzed over a wide range of design and operating parameters and the optimum configuration is identified with the objective of maximizing the power density.

The objectives of optimization design are minimizing the rotor loss while maximizing the power density of the PMM as well as the 1st order nature frequency of the rotor, and the constraints are size, the strength safety factor and the phase current.