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首页> 外文期刊>Journal of Cleaner Production >Design and tri-objective optimization of a hybrid efficient energy system for tri-generation, based on PEM fuel cell and MED using syngas as a fuel
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Design and tri-objective optimization of a hybrid efficient energy system for tri-generation, based on PEM fuel cell and MED using syngas as a fuel

机译：基于PEM燃料电池和使用合成气作为燃料的PEM燃料电池和MED的三代混合高效能量系统的设计和三目标优化

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This article presents a novel solution to enhance the performance and cost-effectiveness of a biomass-based proton exchange membrane (PEM) fuel cell. It investigates the proposed configuration from energy, exergy, economic, and environmental aspects. The idea is conducted by the integration of the proposed system with a gasifier, a multi-effect desalination (MED) unit, and a series two-stage organic Rankine cycle (STORC) using various zeotropic mixtures for the use of waste heat for heat, power, and freshwater production. A comparative parametric study is carried out not only to evaluate the effect of main parameters on the performance of the proposed system but also to determine the best zeotropic mixture from different standpoints. In addition, the tri-objective optimization using a genetic algorithm approach is implemented to the system to ascertain the best operating condition to minimize the total cost rate and maximize the exergy efficiency and the produced fresh water simultaneously. The results of a comparative parametric study reveal the superiority of R601a-C-2 Butene (75%-25%) among various STORC working fluids from thermodynamic and economic points of view. The results further show that the proposed integrated system has a considerably lower CO2 index compared to the same system without the STORC unit. For the final tri-objective optimization point, while the minimum total cost rate is 64.91 $/h, the maximum exergy efficiency and produced freshwater are 23.43% and 162.86 m(3)/day, respectively. Furthermore, the scatter distribution of the main decision variable reveals that moisture content and current density are not a sensible variable, and their optimal points are distributed in the whole domain. (C) 2020 Elsevier Ltd. All rights reserved.
机译：本文介绍了一种新的解决方案，提高基于生物质的质子交换膜（PEM）燃料电池的性能和成本效果。它调查了从能源，出境，经济和环境方面的拟议配置。该思想是通过将所提出的系统与气化器的整合，多效脱盐（MED）单元和一系列两级有机朗肯循环（Storc）的一体化进行，使用各种横熵混合物用于使用废热进行热量，电力和淡水生产。对比较的参数研究不仅进行了评估主要参数对所提出的系统性能的影响，而且还用于确定来自不同观点的最佳触发混合物。另外，使用遗传算法方法的三目标优化被实现为系统，以确定最佳的操作条件，以最小化总成本速率，并同时最大限度地提高电气效率和产生的淡水。比较参数研究的结果揭示了来自热力学和经济观点的各种商店工作流体中R601A-C-2丁烯（75％-25％）的优越性。结果进一步表明，与没有商店单元的相同系统相比，所提出的集成系统具有相当低的CO2指数。对于最终的三目标优化点，虽然最低总成本率为64.91 $ / h，但分别最大的高效效率和产生的淡水分别为23.43％和162.86米（3）/天。此外，主要决策变量的散射分布揭示了水分含量和电流密度不是明智的变量，并且它们的最佳点分布在整个域中。 （c）2020 elestvier有限公司保留所有权利。

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