System level dynamic modeling of fuel cell power plants

2004 ◽  
Author(s):  
J. Eborn ◽  
L. Pedersen ◽  
C. Haugstetter ◽  
S. Ghosh
Keyword(s):  
Fuel Cell ◽  
Dynamic Modeling ◽  
Power Plants ◽  
System Level

System level lumped-parameter dynamic modeling of PEM fuel cell

2004 ◽  
Vol 133 (2) ◽  
pp. 188-204 ◽  
Author(s):  
X. Xue ◽  
J. Tang ◽  
A. Smirnova ◽  
R. England ◽  
Nigel Sammes
Keyword(s):  
Fuel Cell ◽  
Dynamic Modeling ◽  
Pem Fuel Cell ◽  
System Level ◽  
Lumped Parameter

scholarly journals Dynamic modeling of a three-stage low-temperature ethanol reformer for fuel cell application

2009 ◽  
Vol 192 (1) ◽  
pp. 208-215 ◽  
Author(s):  
Vanesa M. García ◽  
Eduardo López ◽  
Maria Serra ◽  
Jordi Llorca
Keyword(s):  
Fuel Cell ◽  
Low Temperature ◽  
Dynamic Modeling ◽  
Fuel Cell Application

Dynamic modeling of a continuous two-chamber microbial fuel cell with pure culture of Shewanella

2017 ◽  
Vol 42 (33) ◽  
pp. 21198-21202 ◽  
Author(s):  
Morteza Esfandyari ◽  
Mohammad Ali Fanaei ◽  
Reza Gheshlaghi ◽  
Mahmood Akhavan Mahdavi
Keyword(s):  
Fuel Cell ◽  
Microbial Fuel Cell ◽  
Dynamic Modeling ◽  
Pure Culture

System Level Dynamic Modeling Framework Being Developed at Clemson University’s Wind Turbine Drivetrain Testing Facility

2013 ◽  
Author(s):  
Ryan Schkoda ◽  
Konstantin Bulgakov ◽  
Kalyan Chakravarthy Addepalli ◽  
Imtiaz Haque
Keyword(s):  
Wind Turbine ◽  
Dynamic Modeling ◽  
Preliminary Analysis ◽  
Collaborative Work ◽  
Model Development ◽  
System Level ◽  
Modeling Framework ◽  
Testing Facility ◽  
Simulation Strategy ◽  
North Charleston

This paper describes the system level, dynamic modeling and simulation strategy being developed at the Wind Turbine Drivetrain Testing Facility (WTDTF) at Clemson University’s Restoration Institute in North Charleston, SC, USA. An extensible framework that allows various workflows has been constructed and used to conduct preliminary analysis of one of the facility’s test benches. The framework dictates that component and subsystem models be developed according to a list of identified needs and modeled in software best suited for the particular task. Models are then integrated according to the desired execution target. This approach allows for compartmentalized model development which is well suited for collaborative work. The framework has been applied to one of the test benches and has allowed researches to begin characterizing its behavior in the time and frequency domain.

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