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Performance Analysis Of A Pem Fuel Cell Unit In A Solar-hydrogen System

机译:氢能系统中Pem燃料电池单元的性能分析

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In this paper, energy and exergy analyses for a 1.2 kWp Nexa PEM fuel cell unit in a solar-based hydrogen production system is undertaken to investigate the performance of the system for different operating conditions using experimental setup and thermodynamic model. From the model results, it is found that there are reductions in energy and exergy efficiencies (about 14%) with increase in current density. These are consistent with the experimental data for the same operating conditions. A parametric study on the system and its parameters is undertaken to investigate the changes in the efficiencies for variations in temperature, pressure and anode stoichiometry. The energy and exergy efficiencies increase with pressure by 23% and 15%, respectively. No noticeable changes are observed in energy and exergy efficiencies with increase in temperature. The energy and exergy efficiencies decrease with increase in anode stoichiometry by 17% and 14%, respectively. These observations are reported for the given range of current density as 0.047-0.4 A/cm~2. The results and analyses show that the PEM fuel-cell system has lower exergy efficiencies than the corresponding energy efficiencies due to the irreversibilities that are not considered by energy analysis. In comparison with experimental data, the model is accurate in predicting the performance of the proposed fuel-cell system. The parametric and multivariable analyses show that the option of selecting appropriate set of conditions plays a significant role in improving performance of existing fuel-cell systems.
机译:本文针对太阳能制氢系统中的1.2 kWp Nexa PEM燃料电池单元进行了能量和火用分析,通过实验设置和热力学模型研究了该系统在不同工况下的性能。从模型结果可以发现,随着电流密度的增加,能量和火用效率降低(约14%)。这些与相同操作条件下的实验数据一致。对该系统及其参数进行了参数研究,以研究温度,压力和阳极化学计量变化的效率变化。能量和火用效率随压力分别增加23%和15%。随着温度的升高,能量和火用效率均未观察到明显变化。随着阳极化学计量的增加,能量和火用效率分别降低了17%和14%。在给定的电流密度范围为0.047-0.4 A / cm〜2的情况下报道了这些观察结果。结果和分析表明,由于能量分析未考虑不可逆性,因此PEM燃料电池系统的火用效率比相应的能源效率低。与实验数据相比,该模型在预测所提出的燃料电池系统的性能方面是准确的。参数分析和多变量分析表明,选择适当的一组条件对提高现有燃料电池系统的性能起着重要作用。

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