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Synthesis and optimization of a PEM fuel cell system via reactor-separation network (RSN)

机译:通过反应堆分离网络(RSN)合成和优化PEM燃料电池系统

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摘要

The main objective of this study is to develop the synthesis and optimization of reactor-separation network (RSN) models that can be simultaneously solved within Non-Linear Programming (NLP) for a PEM fuel cell system. The objective function for optimization was defined to minimize the overall cost and CO production. Five alternatives were synthesized to determine the best flow chart for the system based on cost and the output concentration of carbon monoxide. A Polymer Electrolyte Membrane Fuel Cell (PEMFC) system was taken as the case study. The results indicated that the optimum specific cost of a PEMFC stack was found to be in the region of 500-700 US dollars kW~(-1), while the specific manufacturing cost and the specific investment cost were calculated at the range of 1000-1500 US dollars and 2500-3000 kW~(-1), respectively. Furthermore, the infrastructure investment cost was determined to be in the range of 10-30 billion US dollars with the specific cost for one unit in the range of 2000-4000 US dollars kW~(-1). The results obtained are comparable with other studies.
机译:这项研究的主要目的是开发可在PEM燃料电池系统的非线性规划(NLP)中同时解决的反应堆分离网络(RSN)模型的综合和优化。定义了优化的目标函数,以最大程度地降低总成本和一氧化碳生产量。根据成本和一氧化碳的输出浓度,综合了五个选择方案来确定系统的最佳流程图。以聚合物电解质膜燃料电池(PEMFC)系统为例。结果表明,PEMFC电池组的最佳比成本在500-700美元kW〜(-1)左右,而比制造成本和比投资成本则在1000-1000美元的范围内。分别为1500美元和2500-3000 kW〜(-1)。此外,基础设施投资成本被确定在10到300亿美元之间,一个单位的具体成本在2000到4000美元kW〜(-1)之间。获得的结果与其他研究相当。

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