摘要
采用遗传算法构建一个与实验数据匹配的质子交换膜燃料电池(PEMFC)模型,提出一个利用PEMFC余热驱动双级半导体热电发电机(TTEG)的混合系统。推导出PEMFC电流密度与TTEG的无量纲电流密度之间的关系,确定混合系统中TTEG运行的工作电流区间。考虑混合系统中多种电化学损失和热损失,得出混合系统功率与效率的表达式,研究电池工作温度,热电元件的优值系数、导热率以及热电元件数目对混合系统性能的影响。
A proton exchange membrane fuel cell(PEMFC)model matched with experimental data is constructed by genetic algorithm,and a hybrid system for recovering residual heat generated by PEMFC to drive a two-stage thermoelectric generator(TTEG)is proposed.The relationship between the current density of PEMFC and the dimensionless current density of TTEG is obtained,and the working current interval of TTEG is determined.The analytical expressions for the power output and efficiency of the hybrid system are theoretically derived by considering various electrochemical and heat losses in the hybrid system.The effects of operating temperature of PEMFC,the optimal value coefficient of TTEG,thermal conductivity and the number of TTEG on the performance of the hybrid system are studied.
作者
谢青霖
黄跃武
Xie Qinglin;Huang Yuewu(College of Environmental Science and Engineering,Donghua University,Shanghai 201620,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2021年第4期68-74,共7页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(51078068)。
关键词
质子交换膜燃料电池
遗传算法
半导体热电发电机
余热回收
proton exchange membrane fuel cell
genetic algorithm
semiconductor thermoelectric generator
waste heat recovery
