Probabilistic analysis of a solid-oxide fuel-cell based hybrid gas-turbine system

被引：23

作者：

Gorla, RSR ^{[1
]}

机构：

[1] Cleveland State Univ, Dept Mech Engn, Cleveland, OH 44115 USA

来源：

APPLIED ENERGY | 2004年 / 78卷 / 01期

关键词：

thermodynamic analysis; gas turbines; probabilistic analysis; fuel cell;

D O I：

10.1016/S0306-2619(03)00006-0

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The emergence of fuel-cell systems and hybrid fuel-cell systems requires the evolution of analysis strategies for evaluating thermodynamic performance. A gas-turbine thermodynamic cycle integrated with a fuel cell was computationally simulated and probabilistically evaluated in view of the several uncertainties in the thermodynamic performance parameters. Cumulative distribution functions and sensitivity factors were computed for the overall thermal-efficiency due to the uncertainties in the thermodynamic random variables. These results can be used to quickly identify the most critical design variables in order to optimize the design and make it cost effective. The analysis leads to the selection of criteria for gas-turbine performance. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：63 / 74

页数：12

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