Thermo-economic analysis and optimization of a novel cascade ORC-transcritical CO2 cycle to recover energy from PEM fuel cells

IF 10.9 1区 工程技术 Q1 ENERGY & FUELS
Qing Wang , Liang Cai , Amin Mohammadi , Akbar Maleki
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引用次数: 0

Abstract

This study introduces a novel cascade flash organic Rankine cycle − transcritical CO2 cycle for recovering waste energy from a PEM fuel cell, aiming to improve its efficiency. The recovered energy serves two purposes: partially fueling the liquid hydrogen gasification process to supply hydrogen to the fuel cell and converting the remaining energy into electricity. A combination of thermodynamic and economic evaluations is conducted to assess the proposed system’s feasibility, complemented by a sensitivity analysis to explore the influence of key parameters. Subsequently, based on these insights, a genetic algorithm is employed to optimize system performance. The findings indicate that the proposed configuration performs better than other waste heat recovery systems in the literature. It is shown that, compared to a standalone PEM fuel cell, the proposed system has the potential to increase net output power by up to 60% and efficiency by up to 33 %. However, due to the conflicting nature of these two objective functions, achieving both maximum power and maximum efficiency simultaneously is not possible. This necessitates performing a multi-objective optimization to determine the best trade-off between these competing objectives. Applying NSGA-II combined with a minimum distance method identified balanced operating conditions that offer a practical compromise between objective functions. These trade-off solutions deviate from the extreme settings favored in single-objective optimization and instead point to moderate current densities and temperatures that enhance overall system viability.
从PEM燃料电池中回收能量的新型级联orc -跨临界CO2循环的热经济分析和优化
本文介绍了一种新型的级联闪蒸有机朗肯循环-跨临界CO2循环,用于PEM燃料电池的废能回收,旨在提高其效率。回收的能量有两个用途:部分为液氢气化过程提供燃料,向燃料电池提供氢气,并将剩余的能量转化为电能。结合热力学和经济评估来评估所提出系统的可行性,并辅以敏感性分析来探讨关键参数的影响。随后,基于这些见解,采用遗传算法来优化系统性能。研究结果表明,所提出的配置性能优于文献中其他余热回收系统。结果表明,与独立的PEM燃料电池相比,该系统有可能将净输出功率提高60%,效率提高33%。然而,由于这两个目标函数的冲突性质,同时实现最大功率和最大效率是不可能的。这就需要执行多目标优化,以确定这些竞争目标之间的最佳权衡。应用NSGA-II与最小距离方法相结合,确定了在目标函数之间提供实际折衷的平衡操作条件。这些权衡解决方案偏离了单目标优化的极端设置,而是指向适度的电流密度和温度,以提高整体系统的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
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