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Development of a four-step Cu-Cl cycle for hydrogen production - Part II: Multi-objective optimization

机译:开发四步制氢的Cu-Cl循环-第二部分:多目标优化

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This second part of two companion papers optimizes a four-step Cu-C cycle by considering five optimization scenarios: three single-objective functions (exergy efficiency, total cost rate, environmental impact rate), and two multi-objective functions (exergoeconomic, exergoenvironmental). Based on the single objective optimizations, it is determined that the exergy efficiency could be increased by up to 3.3% using exergy-based optimization, the cost can be reduced by up to 33% using cost-based optimization, and the environmental impact rate can be reduced by up to 39% using environmental impact-based optimization, at the expense of the non-optimized objectives. To avoid such detrimental effects, multi-objective optimization studies are undertaken. Based on the exergoeconomic optimization, a 0.80% higher exergy efficiency and 4.5% lower cost can be achieved, compared to baseline parameters. Furthermore, a 0.5% higher exergy efficiency and 30% lower environmental impact rate can be achieved based on the exergoenvironmental optimization. (C) 2016 Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC.
机译:两篇随附论文的第二部分通过考虑五个优化方案来优化四步Cu-C循环:三个单目标函数(能效,总成本率,环境影响率)和两个多目标函数(环境经济学,环境生态学) )。基于单目标优化,可以确定使用基于火用的优化可以将火用效率提高多达3.3%,使用基于成本的优化可以将成本降低多达33%,并且环境影响率可以使用基于环境影响的优化,最多可减少39%,但以未优化的目标为代价。为了避免这种不利影响,进行了多目标优化研究。与基线参数相比,基于能效经济的优化,能效提高了0.80%,成本降低了4.5%。此外,基于环境优化,能效提高了0.5%,环境影响率降低了30%。 (C)2016由Elsevier Ltd代表Hydrogen Energy Publications LLC发布。

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