摘要
以固体氧化物燃料电池与质子交换燃料电池(SOFC-PEM)联合发电系统为研究对象,以系统操作参数作为不确定参数,采用基于拉丁超立方体抽样法的不确定分析方法,即包括以适宜的概率分布函数来表述和量化不确定因素并将不确定性传播到确定性模型来建立输出结果的概率分布规律,进而分析系统操作变量的不确定性对系统净电功率的影响。不同于传统的灵敏度分析方法,考虑参数的概率结构,评价多个参数的相对重要性。结果表明:高SOFC电堆操作温度、低燃料流量和低SOFC燃料利用率有利于减少系统净电功率因不确定因素引起的偏差和波动,但同时以减少系统净电功率为代价。不确定性分析可为在不确定条件下设计参数的优化提供依据。
This article takes SOFC-PEM hybrid systems as the research object and considers the operating parameters to be uncertainty. Uncertainty analysis method based on Latin hypercube sampling involves quantifying the uncertainty in the input parameters in the form of appropriate distribution functions, propagating the uncertainty through a deterministic model to eonstruet the output variability distributions, and analyzing the effects of operational parameter uncertainty on system output. Furthermore, non- traditional sensitivity analysis approach is used to evaluate the relative importance of various parameters considering this distribution structure. Results show that higher operating temperature of SOFC stack, lower fuel rate and lower fuel utilization of SOFC stack can reduee the influence of uncertainty on system output at the expense of system output. Uncertainty analysis can provides more credible basis for the optimization of design parameters under uncertainty.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第2期10-16,共7页
Journal of Chongqing University
基金
国家自然科学基金资助项目(50876117)
中央高校基本科研业务费资助项目(CDJXS11141149)
