可逆固体氧化物电池系统多变量参数优化及性能分析

于诗魁; 孙树敏; 郭登科; 张雨檬; 王士柏; 孙立群; 秦晓辉; 刘前卫; 王利刚

doi:10.19666/j.rlfd.202507051

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可逆固体氧化物电池系统多变量参数优化及性能分析

储能技术 | 更新时间：2026-06-12

- 可逆固体氧化物电池系统多变量参数优化及性能分析
- 可逆固体氧化物电池系统多变量参数优化及性能分析
- 热力发电 2026年55卷第4期页码：21-29
- 作者机构：
  
  1. 华北电力大学能源电力创新研究院新型储能技术北京实验室
  2. 国网山东省电力公司电力科学研究院
  3. 中国电力科学研究院有限公司
  4. 国网电力工程研究院有限公司
- 作者简介：
- 基金信息：
  
  国家电网有限公司科技项目（1400-202455280A-1-1-ZN）~~
- DOI：10.19666/j.rlfd.202507051
  中图分类号： TM91
- 纸质出版：2026
- 稿件说明：
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[1]于诗魁,孙树敏,郭登科,等.可逆固体氧化物电池系统多变量参数优化及性能分析[J].热力发电,2026,55(04):21-29.
[1]于诗魁,孙树敏,郭登科,等.可逆固体氧化物电池系统多变量参数优化及性能分析[J].热力发电,2026,55(04):21-29. DOI： 10.19666/j.rlfd.202507051.

DOI：10.19666/j.rlfd.202507051.

摘要

【目的】固体氧化物电池具有可逆运行、高效及燃料适用性广等特点，在可再生能源大规模存储领域应用潜力巨大，针对可逆固体氧化物电池系统展开多变量参数优化研究，分析多变量参数对系统效率的影响规律。【方法】通过混合整数线性规划方法，在不同电流下以系统效率最高为目标优化电堆进出口温度及空气流量，实现系统最大热回收，计算最优系统效率。【结果】优化结果显示，在发电模式下，系统效率随电流升高呈现先增大后减小的趋势，峰值达53.5%；在制氢模式吸热状态下，电堆效率随电流增大而减小，最大值为119.5%，系统效率则随电流升高而增大，最大值为79.2%；在制氢模式放热状态下，电堆效率随电流升高而增大，最大值为95.4%，系统效率稳定在79.3%左右。【结论】研究揭示了电流与操作参数对系统性能的影响规律，为其在实际储能应用中的高效、灵活运行提供了理论依据与优化策略。

Abstract

[Objective] In response to the growing environmental concerns and the depletion of fossil fuels

the global installed capacity of renewable energy sources such as wind and solar power continues to rise rapidly. However

the intermittent and variable nature of these energy sources poses significant challenges to power grid stability and the effective integration of clean energy. Solid oxide cells offer a promising pathway toward resolving these issues

owing to their ability to operate reversibly

high energy conversion efficiency

and compatibility with a wide range of fuels. By flexibly switching between solid oxide fuel cell mode and solid oxide electrolysis cell mode

they enable efficient electrical energy storage and chemical fuel production

demonstrating considerable potential for large-scale renewable energy storage and grid-balancing applications. This study conducts multivariable parameter optimization for a reversible solid oxide cell system

aiming to investigate the effect of multivariable parameters on the performance of reversible solid oxide cell systems. [Methods] A stack-level model is established and integrated with auxiliary components

such as fans

heat exchangers

and separators. The Aspen Plus software is used to construct a full system model. Using mixed-integer linear programming with an objective function that minimizes total energy demand

along with a pinch analysis technique

the thermal integration of the system is optimized for a given current density. This approach determines the optimal operating temperature under different current conditions

calculates the required air flow rate to satisfy stack temperature limits under optimized heat recovery

and evaluates the resulting auxiliary power consumption

ultimately leading to the computation of optimal system efficiency. [Results] The results show that in the power generation mode

the system efficiency increases at first and then decreases with the increase of current

and the maximum value is 53.5%. In the endothermic state of hydrogen production mode

the stack efficiency decreases with the increase of current

and the maximum value is 119.5%. While the system efficiency increases with the current

the maximum value reaches 79.2%. In the exothermic state of hydrogen production mode

the stack efficiency increases with the current

with the maximum value of 95.4%

and the system efficiency is stable at about 79.3%. [Conclusion] This research clarifies how operating current and other key parameters influence the performance of reversible solid oxide cell systems. The findings offer theoretical insights and practical optimization strategies to enhance the efficiency and operational flexibility of such systems in real-world energy storage applications

supporting the broader integration of intermittent renewable energy sources into the power grid.

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references

张帆,王博文,樊林浩,等.光伏发电制氢储能系统仿真及性能分析研究[J].工程热物理学报, 2022, 43(10):2653-2658.ZHANG Fan, WANG Bowen, FAN Linhao, et al.Development of photovoltaic-electrolyzer-fuel cell system for hydrogen production and power generation[J].Journal of Engineering Thermophysics, 2022, 43(10):2653-2658.

KRISHAN O, SUHAG S. An updated review of energy storage systems:classification and applications in distributed generation power systems incorporating renewable energy resources[J]. International Journal of Energy Research, 2019, 43(12):6171-6210.

李强强,薛顶喜,马帅,等.固体氧化物燃料电池阳极微结构三维数值模拟[J].工程热物理学报, 2023,44(5):1309-1315.LI Qiangqiang, XUE Dingxi, MA Shuai, et al. Threedimensional numerical simulation of solid oxide fuel cell anode microstructure[J]. Journal of Engineering Thermophysics, 2023, 44(5):1309-1315.

WANG L, ZHANG Y, LI C, et al. Triple-mode gridbalancing plants via biomass gasification and reversible solid-oxide cell stack:Concept and thermodynamic performance[J]. Applied Energy, 2020, 280:115987.

刘汉宇,季炫宇,周雄,等.燃料气参数对固体氧化物燃料电池放电特性影响研究[J].湖南电力, 2023,43(6):31-36.LIU Hanyu, JI Xuanyu, ZHOU Xiong, et al. Study on effects of fuel gas parameters on discharge characteristics of solid oxide fuel cells[J]. Hunan Electric Power, 2023,43(6):31-36.

SELVAM K, KOMATSU Y, SCIAZKO A, et al.Thermodynamic analysis of 100%system fuel utilization solid oxide fuel cell(SOFC)system fueled with ammonia[J]. Energy Conversion and Management, 2021,249:114839.

李青山,郝勇生,翁方龙,等.甲醇重整固体氧化物燃料电池热电联产系统热力学分析与优化设计[J].中国电机工程学报, 2025, 45(2):502-512.LI Qingshan, HAO Yongsheng, WENG Fanglong, et al.Thermodynamic analysis and optimal design of cogeneration system for methanol reforming solid oxide fuel cell[J]. Proceedings of the CSEE, 2025, 45(2):502-512.

CHEN H, WANG J, XU X. Parametric study of operating conditions on performances of a solid oxide electrolysis cell[J]. Journal of Thermal Science, 2023, 32(6):1973-1988.

靳壮杰,杨雁,张伟,等.固体氧化物电解池电解水制氢效率影响因素数值分析[J].化学工程, 2023, 51(12):20-24.JIN Zhuangjie, YANG Yan, ZHANG Wei, et al.Numerical analysis of factors influencing efficiency of hydrogen production by solid oxide electrolysis of water[J]. Chemical Engineering, 2023, 51(12):20-24.

CHEN Y, WU X, HU H, et al. System level performance analysis and parameter optimization of hydrogen production based on solid oxide electrolytic cell[J].Applied Energy, 2023, 347:121329.

WANG C, CHEN M, LIU M, et al. Dynamic modeling and parameter analysis study on reversible solid oxide cells during mode switching transient processes[J]. Applied Energy, 2020, 263:114601.

WANG L, ZHANG Y, PÉREZ-FORTES M, et al.Reversible solid-oxide cell stack based power-to-x-topower systems:comparison of thermodynamic performance[J]. Applied Energy, 2020, 275:115330.

WEI X, SHARMA S, MARECHAL F, et al. Design and optimization of a shared heat exchanger network for an integrated rSOC system[J]. Computer Aided Chemical Engineering. Elsevier, 2023, 52:1065-1070.

WANG L, RAO M, DIETHELM S, et al. Power-tomethane via co-electrolysis of H2O and CO2:the effects of pressurized operation and internal methanation[J].Applied Energy, 2019, 250:1432-1445.

WANG L, PÉREZ-FORTES M, MADI H, et al. Optimal design of solid-oxide electrolyzer cased power-tomethane systems:a comprehensive comparison between steam electrolysis and co-electrolysis[J]. Applied Energy,2018, 211:1060-1079.

KERMANI M, ZOÉPÉRIN-LEVASSEUR, BENALI M,et al. A novel MILP approach for simultaneous optimization of water and energy:application to a Canadian softwood Kraft pulping mill[J]. Computers&Chemical Engineering, 2016, 102:238-257.

WU Z, ZHU P, HUANG Y, et al. A comprehensive review of modeling of solid oxide fuel cells:from large systems to fine electrodes[J]. Chemical Reviews, 2025, 125(4):2184-2268.

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