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Numerical multi-physical optimization of operating condition and current collecting setup for large-area solid oxide fuel cells

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Frontiers in Energy 2024年第3期18卷 356-368页

作者： Chengrong YU Zehua PAN Hongying ZHANG Bin CHEN Wanbing GUAN Bin MIAO siew hwa chan Zheng ZHONG Yexin ZHOU School of Science Harbin Institute of TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Deep Earth Sciences and Geothermal Energy Exploitation and Utilization Institute of Deep Earth Sciences and Green EnergyShenzhen UniversityShenzhen 518060China Key Laboratory of Advanced Fuel Cells and Electrolyzers Technology of Zhejiang Province Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of SciencesNingbo 315201China Energy Research Institute at NTU(ERIAN) Nanyang Technological UniversitySingapore 639798Singapore

Due to the depletion of traditional fossil fuels and the aggravation of related environmental problems,hydrogen energy is gaining more attention all over the *** oxide fuel cell(SOFC)is a promising power generation technology operating on hydrogen with a high *** further boost the power output of a single cell and thus a single stack,increasing the cell area is an effective ***,it was recently found that further increasing the effective area of an SOFC single cell with a flat-tubular structure and symmetric double-sided cathodes would result in a lower areal *** this work,a multi-physical model is built to study the effect of the effective area on the cell *** distribution of different physical fields is systematically *** of the cell performance is also pursued by systematically tuning the cell operating condition and the current collection *** improvement of 42%is revealed by modifying the inlet gas flow rates and by enhancing the current *** the future,optimization of cell geometry will be performed to improve the homogeneity of different physical fields and thus to improve the stability of the cell.

关键词： solid oxide fuel cell(SOFC) large effective area flow rate discharge performance current collection

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Application of self-adaptive temperature recognition in cold-start of an air-cooled proton exchange membrane fuel cell stack

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能源与人工智能(英文) 2022年第3期9卷 12-23页

作者： Xianxian Yu Huawei chang Junjie Zhao Zhengkai Tu siew hwa chan School of Energy and Power Engineering Huazhong University of Science and TechnologyWuhan 430074China Energy Research Institute Nanyang Technological University50 Nanyang Avenue637553 Singapore

The Self-adaptive control of the temperature can achieve the start of fuel cell at different operating temperatures, which is very important for the successful cold-start of the air-cooled PEMFC. The temperature distribution characteristics during the cold-start process were analyzed based on adaptive temperature recognition control in this paper. Preheating model and cold-start model were established and the optimal balance between the hot air flow rate and the temperature required to promote a uniform temperature distribution in the stack was explored in the preheating stage. Finally, the non-equilibrium mass transfer, as well as the temperature rise in the catalyst layer and gas diffusion layer with different current densities, were analyzed in the start-up stage. The results indicate that the air-cooled PEMFC stack can be successfully started up at -40 ◦C within 10 min by means of external gas heating. The current density and air velocity have significant impacts on the temperature of aircooled PEMFC stack. Dynamic analysis of air-cooled PEMFCs and real-time monitoring are suitable for machine learning and self-adaptive control to set the operation parameters to achieve successful cold start. Optimize the matching of load current and cathode inlet speed to achieve thermal management in low temperature environment.

关键词： Proton exchange membrane fuel cell Air-cooled stack Metallic bipolar plate Cold-start Gas heating

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A comprehensive review of electrochemical hybrid power supply systems and intelligent energy managements for unmanned aerial vehicles in public services

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能源与人工智能(英文) 2022年第3期9卷 148-171页

作者： Caizhi Zhang Yuqi Qiu Jiawei Chen Yuehua Li Zhitao Liu Yang Liu Jiujun Zhang chan siew hwa College of Mechanical and Vehicle Engineering The State Key Laboratory of Mechanical TransmissionsChongqing Automotive Collaborative Innovation CentreChongqing UniversityChongqing400044China College of Automation Chongqing UniversityKey Laboratory of Complex System Safety and ControlMinistry of EducationChongqing UniversityChongqing400044China School of Mechanical Engineering University of Science and Technology BeijingBeijing100083China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhou310027China Institute for Sustainable Energy/College of Sciences Shanghai UniversityShanghai 200444China School of Mechanical and Aerospace Engineering Nanyang Technological University50 Nanyang Avenue639798Singapore Sichuan Energy Internet Research Institute Tsinghua UniversityChengdu 610213Sichuan ProvinceChina

The electric unmanned aerial vehicles (UAVs) are rapidly growing due to their abilities to perform some difficult or dangerous tasks as well as many public services including real-time monitoring, wireless coverage, search and rescue, wildlife surveys, and precision agriculture. However, the electrochemical power supply system of UAV is a critical issue in terms of its energy/power densities and lifetime for service endurance. In this paper, the current power supply systems used in UAVs are comprehensively reviewed and analyzed on the existing power configurations and the energy management systems. It is identified that a single type of electrochemical power source is not enough to support a UAV to achieve a long-haul flight;hence, a hybrid power system architecture is necessary. To make use of the advantages of each type of power source to increase the endurance and achieve good performance of the UAVs, the hybrid systems containing two or three types of power sources (fuel cell,battery, solar cell, and supercapacitor,) have to be developed. In this regard, the selection of an appropriate hybrid power structure with the optimized energy management system is critical for the efficient operation of a UAV. It is found that the data-driven models with artificial intelligence (AI) are promising in intelligent energy management. This paper can provide insights and guidelines for future research and development into the design and fabrication of the advanced UAV power systems.

关键词： Unmanned aerial vehicles(UAVs) Power supply system Fuel cell system Artificial intelligence(AI) Energy management systems

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杞菊甘露饮及杞菊甘露饮配合针刺治疗肺肾阴虚型干眼症的临床研究

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世界中医药 2014年第7期9卷 883-885页

作者：林秋霞韦企平北京中医药大学北京100029 北京中医药大学东方医院眼科北京100078

目的:探讨杞菊甘露饮及杞菊甘露饮配合针刺治疗肺肾阴虚型干眼症的疗效。方法:2012年10月至2013年8月在新加坡中华医院眼科组就诊的肺肾阴虚型干眼症患者90例。随机分为组1(杞菊甘露饮组)45例和组2(杞菊甘露饮配合针刺组)45例。2组均口... 详细信息

目的:探讨杞菊甘露饮及杞菊甘露饮配合针刺治疗肺肾阴虚型干眼症的疗效。方法:2012年10月至2013年8月在新加坡中华医院眼科组就诊的肺肾阴虚型干眼症患者90例。随机分为组1(杞菊甘露饮组)45例和组2(杞菊甘露饮配合针刺组)45例。2组均口服杞菊甘露饮,组2加针刺治疗,疗程均为30 d。结果:1)组1及组2的标准干眼症测量评分(Standard Patient Evaluation of Eye Dryness,SPEED),视觉模拟量化评分(Visual Analogue Scale Score,VAS)以及中医肺肾阴虚积分治疗前后均有统计学意义(P0.05)。泪膜破裂时间(tear break-up time,TBUT)在2组间疗效比较显示差异有统计学意义,组1高于组2(P=0.0000.05)。2)总有效率:SPEED,组1是54.4%,组2是53.3%。VAS,组1是61%,组2是55.5%。中医肺肾阴虚积分的总有效率,组1是68.18%,组2是71.11%。结论:单用杞菊甘露饮或杞菊甘露饮配合针刺治疗肺肾阴虚型干眼症均有效,两者在疗效上无统计学意义。研究结果提示新加坡卫生部或可考虑除西医常规治疗外,也可让不同规格的各级医院根据其自身条件,技术设备以及患者的依从性选择中药治疗或中药配合针刺治疗干眼症。

关键词：杞菊甘露饮针刺治疗干眼症肺肾阴虚型

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