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U.S. Department of Energy
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Intelligent Machine Learning Analysis for Fuel Cell Operations

Technical Report ·
DOI:https://doi.org/10.2172/940376· OSTI ID:940376
A performance computational model for a 100 kW nominal solid oxide fuel cell generator system is described. The calculational methods are based on the FORTRAN programming language. Comprehensive parameter input options are presented, and constraints are identified. Example reactant, electrical, and efficiency outputs are demonstrated over the relevant operating ranges. A sample calculated output display at nominal operating conditions is given.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN
Sponsoring Organization:
USDOE Assistant Secretary for Fossil Energy (FE-1)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
940376
Report Number(s):
ORNL96-0431; ORNL99-0564
Country of Publication:
United States
Language:
English

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