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天然气自热重整质子交换膜燃料电池回热耦合发电系统模拟研究

Simulation study on PEMFC with regeneration heating power generation system based on natural gas auto thermal reforming
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摘要 为研究天然气自热重整质子交换膜燃料电池各级化学反应热的高效利用模式,提出一种耦合利用重整制氢各级反应热与燃料电池余热的发电系统,利用天然气自热重整技术制取富氢合成气,以“温度对口、梯级利用”原则,利用重整子系统各级化学反应热与燃料电池子系统余热逐级加热自热重整用工质水产生高温蒸汽,形成回热系统。通过建立能量、质量、电化学反应方程多物理场耦合的系统模型,分析系统氢气产量与发电效率,并研究进料温度、蒸汽燃料比、空气燃料比对系统性能的影响。结果表明,该系统发电效率为47.41%,较无耦合回热系统提高5.4百分点,适宜的进料温度450~500℃,蒸汽燃料比1.75~2.00,空气燃料比2.35~2.65。 In order to study the efficient utilization model of chemical reaction heat at all levels in natural gas autothermal reforming proton exchange membrane fuel cell(PEMFC),a generation system with coupling utilization of reaction heat of reforming hydrogen production and fuel cell waste heat is proposed.In this system,the natural gas autothermal reforming technology is applied to produce hydrogen-rich syngas.By using the principle of"suitable temperature and cascade utilization",the working water is preheated by the chemical reaction heat of the reforming subsystem and the waste heat of the fuel cell’s subsystem,to form a regenerative system.The system model of multi-physical field coupling of energy,mass and electrochemical reaction equation is established.The hydrogen production and power generation efficiency of the system are analyzed.The effect of feed temperature,steam-fuel ratio and air-fuel ratio on performance of the system is also studied.The results show that,the power generation efficiency of the system is 47.41%,which is 5.4 percentage points higher than that of the reformer-PEM with the out regeneration heating system.The reasonable feed temperature is 450~500℃,the steam-to-fuel ratio is 1.75~2.0 and air-to-fuel ratio is 2.35~2.65.
作者 周崇波 杨庆华 ZHOU Chongbo;YANG Qinghua(School of Mechanical Engineer,Zhejiang University of Technology,Hangzhou 310014,China)
出处 《热力发电》 CAS 北大核心 2020年第3期53-59,共7页 Thermal Power Generation
关键词 质子交换膜 燃料电池 天然气 自热重整 水热管理 回热耦合 模拟研究 proton exchange membrane fuel cell natural gas auto-thermal reform water heat management return heat coupling simulation study
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