Performance analysis and optimization of syngas composition for reversible solid oxide fuel cells in dual-mode operation based on extreme learning machine

IF 8.1 2区工程技术 Q1 CHEMISTRY, PHYSICAL

Journal of Power Sources Pub Date : 2024-07-01 DOI:10.1016/j.jpowsour.2024.234982

Lina Wang, Weihao Guo, Zhiheng Zhang, Fu Wang, Jinliang Yuan

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引用次数: 0

Abstract

Reversible solid oxide fuel cell (rSOC) is an efficient means of converting chemical energy into electrical energy, offering a promising solution to the imbalance between energy production and consumption. The performance of rSOC in dual-mode operation, utilizing syngas as fuel, is significantly influenced by variations in fuel composition. This study aims to develop an rSOC model using Aspen Plus and the extreme learning machine (ELM) algorithm to evaluate the impact of different fuel compositions on stack performance in both solid oxide fuel cell (SOFC) and solid oxide electrolytic cell (SOEC) modes. Results indicate that the concentrations of H₂ and H₂O are critical for optimal performance in dual-mode operation. Additionally, the water gas shift (WGS) reaction is employed to modify syngas composition for improved performance. When the molar fraction of H₂/H₂O is maintained between 50 % and 60 %, the rSOC achieves a maximum round-trip efficiency of 67.5 %. The optimal syngas composition, with H₂/H₂O/CO₂/CO ratios of 50/5/35/10, can reach a maximum round-trip efficiency of 68.5 %. This study provides theoretical insights into the selection of syngas composition for rSOC in dual-mode operation.

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基于极端学习机的双模运行可逆式固体氧化物燃料电池合成气成分性能分析与优化

可逆式固体氧化物燃料电池（rSOC）是一种将化学能转化为电能的有效方法，为解决能源生产与消费之间的不平衡问题提供了一种前景广阔的解决方案。利用合成气作为燃料的可逆式固体氧化物燃料电池在双模式运行中的性能受到燃料成分变化的显著影响。本研究旨在利用 Aspen Plus 和极端学习机（ELM）算法开发一个 rSOC 模型，以评估不同燃料成分对固体氧化物燃料电池（SOFC）和固体氧化物电解池（SOEC）模式下堆栈性能的影响。结果表明，H2 和 H2O 的浓度对双模式运行的最佳性能至关重要。此外，还采用了水气变换（WGS）反应来改变合成气成分，以提高性能。当 H2/H2O 的摩尔分数保持在 50% 到 60% 之间时，rSOC 的最大往返效率可达 67.5%。最佳合成气成分为 H2/H2O/CO2/CO 比为 50/5/35/10，最大往返效率可达 68.5%。这项研究为选择双模式运行 rSOC 的合成气成分提供了理论依据。

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来源期刊

Journal of Power Sources 工程技术-电化学

CiteScore

16.40

自引率

6.50%

发文量

1249

审稿时长

36 days

期刊介绍： The Journal of Power Sources is a publication catering to researchers and technologists interested in various aspects of the science, technology, and applications of electrochemical power sources. It covers original research and reviews on primary and secondary batteries, fuel cells, supercapacitors, and photo-electrochemical cells. Topics considered include the research, development and applications of nanomaterials and novel componentry for these devices. Examples of applications of these electrochemical power sources include: • Portable electronics • Electric and Hybrid Electric Vehicles • Uninterruptible Power Supply (UPS) systems • Storage of renewable energy • Satellites and deep space probes • Boats and ships, drones and aircrafts • Wearable energy storage systems