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Article(id=1321491453394669972, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491360620851250, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.7.171, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1671724800000, receivedDateStr=2022-12-23, revisedDate=1678723200000, revisedDateStr=2023-03-14, acceptedDate=1679500800000, acceptedDateStr=2023-03-23, onlineDate=1792997714613, onlineDateStr=2026-10-26, pubDate=1764432000000, pubDateStr=2025-11-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792997714613, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792997714613, creator=13701087609, updateTime=1792997714613, updator=13701087609, issue=Issue{id=1321491360620851250, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='7', pageStart='1', pageEnd='348', issueExtLink='null', onlineDate='null', pubDate='1764432000000', pubDateStr='2025-11-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792997692494, creator='13701087609', updateTime=1792997936183, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321492382776931282, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491360620851250, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321492382776931283, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491360620851250, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=171, endPage=180, ext={EN=ArticleExt(id=1321491453608579477, articleId=1321491453394669972, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Research on SOFC Thermal Management Method for Submarine Data Center, columnId=1152281492550987902, journalTitle=Journal of Power Supply, columnName=Renewable Energy System, runingTitle=null, highlight=null, articleAbstract=

Thermal management is an important technology for ensuring the normal operation of submarine data centers. Aimed at the special working environment of a submarine data center, the solid oxide fuel cell (SOFC) is used as its emergency power source, and an SOFC thermal management system model with seawater as the only coolant is improved. Then, the total heat dissipation model and dynamic thermal model of SOFC are established, the fuzzy control strategy used for SOFC is optimized by a genetic algorithm, and the implementation effects of non-dominated sorting genetic algorithm-II (NSGA-II) and other algorithms are compared based on MATLAB. Finally, the temperature distribution and average current density of the power stack under different voltages are analyzed in simulation experiments. Experimental results verify that the improved thermal management method can effectively improve the heat dissipation efficiency of the SOFC system in the submarine data center and ensure its safe operation, which is helpful for improving the operation stability of the submarine data center.

, authors=Peng JIANG1, Xin CHEN1, Haifeng ZHOU1, 2, Xingru CHEN1, Dongqiang ZHENG3, Jinman HUANG4, authorsList=Peng JIANG, Xin CHEN, Haifeng ZHOU, Xingru CHEN, Dongqiang ZHENG, Jinman HUANG, authorCompany=null, correspAuthors=Haifeng ZHOU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321491454053175704, articleId=1321491453394669972, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=海底数据中心用SOFC热管理方法研究, columnId=1149829992055595012, journalTitle=电源学报, columnName=新能源系统, runingTitle=null, highlight=null, articleAbstract=

热管理是保证海底数据中心正常运作的一项重要技术。针对海底数据中心特殊的工作环境，将固体氧化物燃料电池SOFC（solid oxide fuel cell）作为海底数据中心的应急电源，改进了以海水为唯一冷却液的SOFC热管理系统模型。然后建立了SOFC总散热量模型和动态热模型，采用遗传算法优化用于SOFC的模糊控制策略，并基于MATLAB对非支配排序遗传算法NSGA-Ⅱ（non-dominated sorting genetic algorithm-II）和其他算法的实施效果进行对比。最后在仿真实验中对不同电压下电堆温度分布和平均电流密度进行分析，实验结果验证了所提的改进热管理方法能够有效提高海底数据中心SOFC系统的散热效率，保证其安全运行，有利于提高海底数据中心运行的稳定性。

, authors=蒋鹏中国电源学会会员1, 陈鑫中国电源学会会员1, 周海峰1, 2, 陈星汝1, 郑东强3, 黄金满4, authorsList=蒋鹏中国电源学会会员, 陈鑫中国电源学会会员, 周海峰, 陈星汝, 郑东强, 黄金满, authorCompany=null, correspAuthors=周海峰, authorNote=

蒋鹏（1997—　），男，中国电源学会会员，硕士。研究方向：海底数据中心能量管理与散热优化，SOFC和电力系统故障诊断。E-mail：。

陈鑫（2001—　），男，中国电源学会会员，硕士研究生。研究方向：海洋工程储能，海底数据中心散热优化以及改进人工智能算法。E-mail：。

陈星汝（2001—　），女，博士研究生。研究方向：SOFC热管理分析，海底数据中心散热结构设计，船舶电力推进。E-mail：。

郑东强（1978—　），男，博士，讲师。研究方向：海洋能源工程，深度学习机器视觉伺服技术以及机电一体化。E-mail：。

黄金满（1984—　），男，硕士研究生，高级工程师。研究方向：新能源电池控制与应用，稀土加工处理和机械自动化系统研发。E-mail：。

, correspAuthorsNote=
周海峰（1970—　），男，通信作者，博士，教授。研究方向：海底数据中心能量管理与散热优化，智能信息处理以及电力系统故障诊断。E-mail：。
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蒋鹏（1997—　），男，中国电源学会会员，硕士。研究方向：海底数据中心能量管理与散热优化，SOFC和电力系统故障诊断。E-mail：。

"}, bioImg=null, bioContent=

蒋鹏（1997—　），男，中国电源学会会员，硕士。研究方向：海底数据中心能量管理与散热优化，SOFC和电力系统故障诊断。E-mail：。

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陈鑫（2001—　），男，中国电源学会会员，硕士研究生。研究方向：海洋工程储能，海底数据中心散热优化以及改进人工智能算法。E-mail：。

"}, bioImg=null, bioContent=

陈鑫（2001—　），男，中国电源学会会员，硕士研究生。研究方向：海洋工程储能，海底数据中心散热优化以及改进人工智能算法。E-mail：。

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陈星汝（2001—　），女，博士研究生。研究方向：SOFC热管理分析，海底数据中心散热结构设计，船舶电力推进。E-mail：。

"}, bioImg=null, bioContent=

陈星汝（2001—　），女，博士研究生。研究方向：SOFC热管理分析，海底数据中心散热结构设计，船舶电力推进。E-mail：。

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郑东强（1978—　），男，博士，讲师。研究方向：海洋能源工程，深度学习机器视觉伺服技术以及机电一体化。E-mail：。

"}, bioImg=null, bioContent=

郑东强（1978—　），男，博士，讲师。研究方向：海洋能源工程，深度学习机器视觉伺服技术以及机电一体化。E-mail：。

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黄金满（1984—　），男，硕士研究生，高级工程师。研究方向：新能源电池控制与应用，稀土加工处理和机械自动化系统研发。E-mail：。

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黄金满（1984—　），男，硕士研究生，高级工程师。研究方向：新能源电池控制与应用，稀土加工处理和机械自动化系统研发。E-mail：。

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海底数据中心用SOFC热管理方法研究
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蒋鹏中国电源学会会员 1 , 陈鑫中国电源学会会员 1 , 周海峰 1, 2 , 陈星汝 1 , 郑东强 3 , 黄金满 4
电源学报 | 新能源系统 2025,23(7): 171-180
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电源学报 |新能源系统 2025 , 23 (7) : 171 -180
海底数据中心用SOFC热管理方法研究
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蒋鹏（1997—　），男，中国电源学会会员，硕士。研究方向：海底数据中心能量管理与散热优化，SOFC和电力系统故障诊断。E-mail：。

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蒋鹏（1997—　），男，中国电源学会会员，硕士。研究方向：海底数据中心能量管理与散热优化，SOFC和电力系统故障诊断。E-mail：。

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陈鑫（2001—　），男，中国电源学会会员，硕士研究生。研究方向：海洋工程储能，海底数据中心散热优化以及改进人工智能算法。E-mail：。

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陈鑫（2001—　），男，中国电源学会会员，硕士研究生。研究方向：海洋工程储能，海底数据中心散热优化以及改进人工智能算法。E-mail：。

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陈星汝（2001—　），女，博士研究生。研究方向：SOFC热管理分析，海底数据中心散热结构设计，船舶电力推进。E-mail：。

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郑东强（1978—　），男，博士，讲师。研究方向：海洋能源工程，深度学习机器视觉伺服技术以及机电一体化。E-mail：。

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黄金满（1984—　），男，硕士研究生，高级工程师。研究方向：新能源电池控制与应用，稀土加工处理和机械自动化系统研发。E-mail：。

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黄金满（1984—　），男，硕士研究生，高级工程师。研究方向：新能源电池控制与应用，稀土加工处理和机械自动化系统研发。E-mail：。

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蒋鹏中国电源学会会员1 , 陈鑫中国电源学会会员1 , 周海峰1, 2 , 陈星汝1 , 郑东强3 , 黄金满4
作者信息
  • 1.集美大学轮机工程学院，厦门　361021
  • 2.福建省船舶与海洋工程重点实验室，厦门　361021
  • 3.集美大学海洋装备与机械工程学院，厦门　361021
  • 4.厦门安麦信自动化科技有限公司，厦门　361021
通讯作者:
周海峰（1970—　），男，通信作者，博士，教授。研究方向：海底数据中心能量管理与散热优化，智能信息处理以及电力系统故障诊断。E-mail：。
作者简介:

蒋鹏（1997—　），男，中国电源学会会员，硕士。研究方向：海底数据中心能量管理与散热优化，SOFC和电力系统故障诊断。E-mail：。

陈鑫（2001—　），男，中国电源学会会员，硕士研究生。研究方向：海洋工程储能，海底数据中心散热优化以及改进人工智能算法。E-mail：。

陈星汝（2001—　），女，博士研究生。研究方向：SOFC热管理分析，海底数据中心散热结构设计，船舶电力推进。E-mail：。

郑东强（1978—　），男，博士，讲师。研究方向：海洋能源工程，深度学习机器视觉伺服技术以及机电一体化。E-mail：。

黄金满（1984—　），男，硕士研究生，高级工程师。研究方向：新能源电池控制与应用，稀土加工处理和机械自动化系统研发。E-mail：。

Research on SOFC Thermal Management Method for Submarine Data Center
Peng JIANG Member, CPSS1 , Xin CHEN Member, CPSS1 , Haifeng ZHOU1, 2 , Xingru CHEN1 , Dongqiang ZHENG3 , Jinman HUANG4
Affiliations
  • 1.School of Marine Engineering, Jimei University, Xiamen 361021, China
  • 2.Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering, Xiamen 361021, China
  • 3.School of Marine Equipment and Mechanical Engineering, Jimei University, Xiamen 361021, China
  • 4.Xiamen Anmaixin Automation Technology Co., Ltd., Xiamen 361021, China
出版时间: 2025-11-30 doi: 10.13234/j.issn.2095-2805.2025.7.171
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摘要
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热管理是保证海底数据中心正常运作的一项重要技术。针对海底数据中心特殊的工作环境，将固体氧化物燃料电池SOFC（solid oxide fuel cell）作为海底数据中心的应急电源，改进了以海水为唯一冷却液的SOFC热管理系统模型。然后建立了SOFC总散热量模型和动态热模型，采用遗传算法优化用于SOFC的模糊控制策略，并基于MATLAB对非支配排序遗传算法NSGA-Ⅱ（non-dominated sorting genetic algorithm-II）和其他算法的实施效果进行对比。最后在仿真实验中对不同电压下电堆温度分布和平均电流密度进行分析，实验结果验证了所提的改进热管理方法能够有效提高海底数据中心SOFC系统的散热效率，保证其安全运行，有利于提高海底数据中心运行的稳定性。

海底数据中心  /  固体氧化物燃料电池  /  模糊-遗传算法  /  水冷散热

Thermal management is an important technology for ensuring the normal operation of submarine data centers. Aimed at the special working environment of a submarine data center, the solid oxide fuel cell (SOFC) is used as its emergency power source, and an SOFC thermal management system model with seawater as the only coolant is improved. Then, the total heat dissipation model and dynamic thermal model of SOFC are established, the fuzzy control strategy used for SOFC is optimized by a genetic algorithm, and the implementation effects of non-dominated sorting genetic algorithm-II (NSGA-II) and other algorithms are compared based on MATLAB. Finally, the temperature distribution and average current density of the power stack under different voltages are analyzed in simulation experiments. Experimental results verify that the improved thermal management method can effectively improve the heat dissipation efficiency of the SOFC system in the submarine data center and ensure its safe operation, which is helpful for improving the operation stability of the submarine data center.

Submarine data center  /  solid oxide fuel cell (SOFC)  /  fuzzy genetic algorithm  /  water cooling and heat dissipation
蒋鹏中国电源学会会员, 陈鑫中国电源学会会员, 周海峰, 陈星汝, 郑东强, 黄金满. 海底数据中心用SOFC热管理方法研究. 电源学报, 2025 , 23 (7) : 171 -180 . DOI: 10.13234/j.issn.2095-2805.2025.7.171
Peng JIANG, Xin CHEN, Haifeng ZHOU, Xingru CHEN, Dongqiang ZHENG, Jinman HUANG. Research on SOFC Thermal Management Method for Submarine Data Center[J]. Journal of Power Supply, 2025 , 23 (7) : 171 -180 . DOI: 10.13234/j.issn.2095-2805.2025.7.171
基金
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  • 国家自然科学基金资助项目(51179074)
  • 福建省自然科学基金资助项目(2021J01839)
  • 福建省大学生创新创业训练资助项目(202210390056)
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doi: 10.13234/j.issn.2095-2805.2025.7.171
  • 接收时间：2022-12-23
  • 首发时间：2026-10-26
  • 出版时间：2025-11-30
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  • 收稿日期：2022-12-23
  • 修回日期：2023-03-14
  • 录用日期：2023-03-23
基金
National Natural Science Foundation of China(51179074)
国家自然科学基金资助项目(51179074)
Natural Science Foundation of Fujian Province(2021J01839)
福建省自然科学基金资助项目(2021J01839)
Innovation and Entrepreneurship Training Program for College Students in Fujian Province(202210390056)
福建省大学生创新创业训练资助项目(202210390056)
作者信息
    1.集美大学轮机工程学院，厦门　361021
    2.福建省船舶与海洋工程重点实验室，厦门　361021
    3.集美大学海洋装备与机械工程学院，厦门　361021
    4.厦门安麦信自动化科技有限公司，厦门　361021

通讯作者:

周海峰（1970—　），男，通信作者，博士，教授。研究方向：海底数据中心能量管理与散热优化，智能信息处理以及电力系统故障诊断。E-mail：。
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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2025.7.171
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2种不同金属材料的力学参数
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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