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    Relative Gain Array Analysis of a Solid Oxide Fuel Cell Gas Turbine Hybrid Plant

    Source: Journal of Fuel Cell Science and Technology:;2010:;volume( 007 ):;issue: 003::page 31004
    Author:
    Alex Tsai
    ,
    David Tucker
    ,
    Randall Gemmen
    ,
    Larry Banta
    DOI: 10.1115/1.3206973
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a relative gain array (RGA) analysis of a simulated solid oxide fuel cell/gas turbine plant, based on a multivariate empirical formulation of a 300 kW hybrid system. The HyPer test facility at the National Energy Technology Laboratory, served as the test bed for deriving frequency response data and subsequent multivariable model of a direct-fired, recuperated hybrid cycle plant. Through the modulation of various airflow bypass valves, magnitude and phase data are used to formulate transfer function (TF) equations that describe input/output system interaction. A frequency dependent RGA calculation of the empirical TF matrix provides a means of quantifying the degree of coupling between system inputs and outputs for the configuration studied. Various input/output interaction time scales are obtained to identify frequencies where fully developed system coupling occur. Analysis of the RGA matrix leads to a better understanding of the inherent properties and the hybrid configuration, and can serve as a validating tool to existing analytical RGA calculations of similar types of hybrids.
    keyword(s): Gas turbines , Solid oxide fuel cells , Valves , Equations , Frequency , Frequency response , Industrial plants , Air flow , Fuel cells , Signals , Flow (Dynamics) , Test facilities AND Cycles ,
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      Relative Gain Array Analysis of a Solid Oxide Fuel Cell Gas Turbine Hybrid Plant

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    https://yetl.yabesh.ir/yetl1/handle/yetl/143626
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    contributor authorAlex Tsai
    contributor authorDavid Tucker
    contributor authorRandall Gemmen
    contributor authorLarry Banta
    date accessioned2017-05-09T00:38:30Z
    date available2017-05-09T00:38:30Z
    date copyrightJune, 2010
    date issued2010
    identifier issn2381-6872
    identifier otherJFCSAU-28942#031004_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/143626
    description abstractThis paper presents a relative gain array (RGA) analysis of a simulated solid oxide fuel cell/gas turbine plant, based on a multivariate empirical formulation of a 300 kW hybrid system. The HyPer test facility at the National Energy Technology Laboratory, served as the test bed for deriving frequency response data and subsequent multivariable model of a direct-fired, recuperated hybrid cycle plant. Through the modulation of various airflow bypass valves, magnitude and phase data are used to formulate transfer function (TF) equations that describe input/output system interaction. A frequency dependent RGA calculation of the empirical TF matrix provides a means of quantifying the degree of coupling between system inputs and outputs for the configuration studied. Various input/output interaction time scales are obtained to identify frequencies where fully developed system coupling occur. Analysis of the RGA matrix leads to a better understanding of the inherent properties and the hybrid configuration, and can serve as a validating tool to existing analytical RGA calculations of similar types of hybrids.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRelative Gain Array Analysis of a Solid Oxide Fuel Cell Gas Turbine Hybrid Plant
    typeJournal Paper
    journal volume7
    journal issue3
    journal titleJournal of Fuel Cell Science and Technology
    identifier doi10.1115/1.3206973
    journal fristpage31004
    identifier eissn2381-6910
    keywordsGas turbines
    keywordsSolid oxide fuel cells
    keywordsValves
    keywordsEquations
    keywordsFrequency
    keywordsFrequency response
    keywordsIndustrial plants
    keywordsAir flow
    keywordsFuel cells
    keywordsSignals
    keywordsFlow (Dynamics)
    keywordsTest facilities AND Cycles
    treeJournal of Fuel Cell Science and Technology:;2010:;volume( 007 ):;issue: 003
    contenttypeFulltext
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