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    The Development of a Model for the Assessment of Biofouling in Gas Turbine System

    Source: Journal of Engineering for Gas Turbines and Power:;2014:;volume( 136 ):;issue: 006::page 61401
    Author:
    Onabanjo, Tosin
    ,
    Di Lorenzo, Giuseppina
    ,
    Goodger, Eric
    ,
    Pilidis, Pericles
    DOI: 10.1115/1.4026367
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A significant problem encountered in the gas turbine industry with fuel products is the degradation of fuel and fuel systems by microorganisms, which are largely bacteria, embedded in biofilms. These microorganisms cause system fouling and other degradatory effects, extending often to sudden failure of components with cost implications. Current methods of assessment are only postimpact evaluation and do not necessarily quantify the effects of fuel degradation on engine performance and emission. Therefore, effective models that allow predictive condition monitoring are required for engine's fuel system reliability, especially with readily biodegradable biofuels. The aim of this paper is to introduce the concept of biofouling in gas turbines and the development of a biomathematical model with potentials to predict the extent and assess the effects of microbial growth in fuel systems. The tool takes into account mass balance stoichiometry equations of major biological processes in fuel biofouling. Further development, optimization, and integration with existing Cranfield inhouse simulation tools will be carried out to assess the overall engine performance and emission characteristics. This new tool is important for engineering design decision, optimization processes, and analysis of microbial fuel degradation in gas turbine fuels and fuel systems.
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      The Development of a Model for the Assessment of Biofouling in Gas Turbine System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/154713
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    contributor authorOnabanjo, Tosin
    contributor authorDi Lorenzo, Giuseppina
    contributor authorGoodger, Eric
    contributor authorPilidis, Pericles
    date accessioned2017-05-09T01:07:38Z
    date available2017-05-09T01:07:38Z
    date issued2014
    identifier issn1528-8919
    identifier othergtp_136_06_061401.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154713
    description abstractA significant problem encountered in the gas turbine industry with fuel products is the degradation of fuel and fuel systems by microorganisms, which are largely bacteria, embedded in biofilms. These microorganisms cause system fouling and other degradatory effects, extending often to sudden failure of components with cost implications. Current methods of assessment are only postimpact evaluation and do not necessarily quantify the effects of fuel degradation on engine performance and emission. Therefore, effective models that allow predictive condition monitoring are required for engine's fuel system reliability, especially with readily biodegradable biofuels. The aim of this paper is to introduce the concept of biofouling in gas turbines and the development of a biomathematical model with potentials to predict the extent and assess the effects of microbial growth in fuel systems. The tool takes into account mass balance stoichiometry equations of major biological processes in fuel biofouling. Further development, optimization, and integration with existing Cranfield inhouse simulation tools will be carried out to assess the overall engine performance and emission characteristics. This new tool is important for engineering design decision, optimization processes, and analysis of microbial fuel degradation in gas turbine fuels and fuel systems.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleThe Development of a Model for the Assessment of Biofouling in Gas Turbine System
    typeJournal Paper
    journal volume136
    journal issue6
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4026367
    journal fristpage61401
    journal lastpage61401
    identifier eissn0742-4795
    treeJournal of Engineering for Gas Turbines and Power:;2014:;volume( 136 ):;issue: 006
    contenttypeFulltext
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