The performance of syngas-fueled solid oxide fuel cell predicted by a Reduced Order Model (ROM): Pressurization and flow-pattern effects

2018 ◽  
Vol 404 ◽  
pp. 96-105 ◽  
Author(s):  
Xinfang Jin ◽  
Surinder Singh ◽  
Atul Verma ◽  
Brandon Ohara ◽  
Anthony Ku ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Flow Pattern ◽  
Solid Oxide ◽  
Reduced Order Model ◽  
Oxide Fuel ◽  
Order Model ◽  
Reduced Order

scholarly journals Flow Pattern and Electrical Conductance on a Planar Solid Oxide Fuel Cell.

1997 ◽  
Vol 30 (4) ◽  
pp. 677-682 ◽  
Author(s):  
Toshihiko Yoshida ◽  
Atsushi Tsunoda ◽  
Hideto Koide ◽  
Takayuki Hoshina
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Flow Pattern ◽  
Electrical Conductance ◽  
Solid Oxide ◽  
Oxide Fuel

A general approach to develop reduced order models for simulation of solid oxide fuel cell stacks

2013 ◽  
Vol 232 ◽  
pp. 139-151 ◽  
Author(s):  
Wenxiao Pan ◽  
Jie Bao ◽  
Chaomei Lo ◽  
Kevin Lai ◽  
Khushbu Agarwal ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Solid Oxide ◽  
Reduced Order Models ◽  
Oxide Fuel ◽  
Reduced Order

scholarly journals Towards Reduced-Order Models of Solid Oxide Fuel Cell

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-18
Author(s):  
Maciej Ławryńczuk
Keyword(s):  
Steady State ◽  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Discrete Time ◽  
Solid Oxide ◽  
Order Structure ◽  
Model Parameters ◽  
Oxide Fuel ◽  
Time Model ◽  
Reduced Order

The objective of this work is to find precise reduced-order discrete-time models of a solid oxide fuel cell, which is a multiple-input multiple-output dynamic process. At first, the full-order discrete-time model is found from the continuous-time first-principle description. Next, the discrete-time submodels of hydrogen, oxygen, and water pressures (intermediate variables) are reduced. Two model reduction methods based on observability and controllability Grammians are compared: the state truncation method and reduction by residualisation. In all comparisons, the second method gives better results in terms of dynamic and steady-state errors as well as Nyquist plots. Next, the influence of the order of the pressure models on the errors of the process outputs (the voltage and the pressure difference) is studied. It is found that the number of pressure model parameters may be reduced from 25 to 19 without any deterioration of model accuracy. Two suboptimal reduced models are also discussed with only 14 and 11 pressure parameters, which give dynamic trajectories and steady-state characteristics that are very similar to those obtained from the full-order structure.

Current-based MPC for operating-safety analysis of a reduced-order solid oxide fuel cell system

Ionics ◽  
2018 ◽  
Vol 25 (4) ◽  
pp. 1759-1772
Author(s):  
Lin Zhang ◽  
Shaoying Shi ◽  
Jianhua Jiang ◽  
Xi Li
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Safety Analysis ◽  
Cell System ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell System ◽  
Reduced Order

Three-Dimensional Simulation of Planar Solid Oxide Fuel Cell Stack

2008 ◽  
Vol 128 (2) ◽  
pp. 459-466 ◽  
Author(s):  
Yoshitaka Inui ◽  
Tadashi Tanaka ◽  
Tomoyoshi Kanno
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Three Dimensional ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell Stack ◽  
Dimensional Simulation
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