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Title: Intelligent Machine Learning Analysis for Fuel Cell Operations

Abstract

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.

Authors:
;
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
940376
Report Number(s):
ORNL96-0431; ORNL99-0564
TRN: US200902%%228
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; EFFICIENCY; FORTRAN; FUEL CELLS; LEARNING; PERFORMANCE; PROGRAMMING LANGUAGES; SOLID OXIDE FUEL CELLS

Citation Formats

Murphy, R W, and Hoyt, W A. Intelligent Machine Learning Analysis for Fuel Cell Operations. United States: N. p., 2000. Web. doi:10.2172/940376.
Murphy, R W, & Hoyt, W A. Intelligent Machine Learning Analysis for Fuel Cell Operations. United States. doi:10.2172/940376.
Murphy, R W, and Hoyt, W A. Fri . "Intelligent Machine Learning Analysis for Fuel Cell Operations". United States. doi:10.2172/940376. https://www.osti.gov/servlets/purl/940376.
@article{osti_940376,
title = {Intelligent Machine Learning Analysis for Fuel Cell Operations},
author = {Murphy, R W and Hoyt, W A},
abstractNote = {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.},
doi = {10.2172/940376},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jun 30 00:00:00 EDT 2000},
month = {Fri Jun 30 00:00:00 EDT 2000}
}

Technical Report:

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