Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/281
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dc.contributor.authorAlobaid, Falah. ; author. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-28T08:51:33Z-
dc.date.available2020-04-28T08:51:33Z-
dc.date.issued2018en_US
dc.identifier.urihttp://localhost/handle/Hannan/281-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319762333 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe book provides highly specialized researchers and practitioners with a major contribution to mathematical models’ developments for energy systems. First, dynamic process simulation models based on mixture flow and two-fluid models are developed for combined-cycle power plants, pulverised coal-fired power plants, concentrated solar power plant and municipal waste incineration. Operation data, obtained from different power stations, are used to investigate the capability of dynamic models to predict the behaviour of real processes and to analyse the influence of modeling assumptions on simulation results. Then, a computational fluid dynamics (CFD) simulation programme, so-called DEMEST, is developed. Here, the fluid-solid, particle-particle and particle-wall interactions are modeled by tracking all individual particles. To this purpose, the deterministic Euler-Lagrange/Discrete Element Method (DEM) is applied and further improved. An emphasis is given to the determination of inter-phase values, such as volumetric void fraction, momentum and heat transfers, using a new procedure known as the offset-method and to the particle-grid method allowing the refinement of the grid resolution independently from particle size. Model validation is described in detail. Moreover, thermochemical reaction models for solid fuel combustion are developed based on quasi-single-phase, two-fluid and Euler-Lagrange/MP-PIC models. Measurements obtained from actual power plants are used for validation and comparison of the developed numerical models. ;en_US
dc.description.statementofresponsibilityby Falah Alobaid.en_US
dc.description.tableofcontentsIntroduction -- Process Simulation -- Computational Fluid Dynamics -- Results -- Conclusion. ;en_US
dc.format.extentXXVI, 431 p. 199 illus., 109 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringer Tracts in Mechanical Engineering, ; 2195-9862 ;en_US
dc.relation.ispartofseriesSpringer Tracts in Mechanical Engineering, ; 2195-9862 ;en_US
dc.relation.haspart9783319762340.pdfen_US
dc.subjectEngineeringen_US
dc.subjectEnergy systems. ;en_US
dc.subjectVibration. ;en_US
dc.subjectDynamical systems. ;en_US
dc.subjectDynamics. ;en_US
dc.subjectFluid mechanics. ;en_US
dc.subjectEngineeringen_US
dc.subjectVibration, Dynamical Systems, Control. ;en_US
dc.subjectEnergy Systems. ;en_US
dc.subjectEngineering Fluid Dynamics. ;en_US
dc.subjectNumerical and Computational Physics, Simulation. ;en_US
dc.titleNumerical Simulation for Next Generation Thermal Power Plantsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcTA355 ;en_US
dc.classification.lcTA352-356 ;en_US
dc.classification.dc620 ; 23 ;en_US
Appears in Collections:مهندسی مدیریت ساخت

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Full metadata record
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dc.contributor.authorAlobaid, Falah. ; author. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-28T08:51:33Z-
dc.date.available2020-04-28T08:51:33Z-
dc.date.issued2018en_US
dc.identifier.urihttp://localhost/handle/Hannan/281-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319762333 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe book provides highly specialized researchers and practitioners with a major contribution to mathematical models’ developments for energy systems. First, dynamic process simulation models based on mixture flow and two-fluid models are developed for combined-cycle power plants, pulverised coal-fired power plants, concentrated solar power plant and municipal waste incineration. Operation data, obtained from different power stations, are used to investigate the capability of dynamic models to predict the behaviour of real processes and to analyse the influence of modeling assumptions on simulation results. Then, a computational fluid dynamics (CFD) simulation programme, so-called DEMEST, is developed. Here, the fluid-solid, particle-particle and particle-wall interactions are modeled by tracking all individual particles. To this purpose, the deterministic Euler-Lagrange/Discrete Element Method (DEM) is applied and further improved. An emphasis is given to the determination of inter-phase values, such as volumetric void fraction, momentum and heat transfers, using a new procedure known as the offset-method and to the particle-grid method allowing the refinement of the grid resolution independently from particle size. Model validation is described in detail. Moreover, thermochemical reaction models for solid fuel combustion are developed based on quasi-single-phase, two-fluid and Euler-Lagrange/MP-PIC models. Measurements obtained from actual power plants are used for validation and comparison of the developed numerical models. ;en_US
dc.description.statementofresponsibilityby Falah Alobaid.en_US
dc.description.tableofcontentsIntroduction -- Process Simulation -- Computational Fluid Dynamics -- Results -- Conclusion. ;en_US
dc.format.extentXXVI, 431 p. 199 illus., 109 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringer Tracts in Mechanical Engineering, ; 2195-9862 ;en_US
dc.relation.ispartofseriesSpringer Tracts in Mechanical Engineering, ; 2195-9862 ;en_US
dc.relation.haspart9783319762340.pdfen_US
dc.subjectEngineeringen_US
dc.subjectEnergy systems. ;en_US
dc.subjectVibration. ;en_US
dc.subjectDynamical systems. ;en_US
dc.subjectDynamics. ;en_US
dc.subjectFluid mechanics. ;en_US
dc.subjectEngineeringen_US
dc.subjectVibration, Dynamical Systems, Control. ;en_US
dc.subjectEnergy Systems. ;en_US
dc.subjectEngineering Fluid Dynamics. ;en_US
dc.subjectNumerical and Computational Physics, Simulation. ;en_US
dc.titleNumerical Simulation for Next Generation Thermal Power Plantsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcTA355 ;en_US
dc.classification.lcTA352-356 ;en_US
dc.classification.dc620 ; 23 ;en_US
Appears in Collections:مهندسی مدیریت ساخت

Files in This Item:
File Description SizeFormat 
9783319762340.pdf25.05 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAlobaid, Falah. ; author. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-28T08:51:33Z-
dc.date.available2020-04-28T08:51:33Z-
dc.date.issued2018en_US
dc.identifier.urihttp://localhost/handle/Hannan/281-
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319762333 ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThe book provides highly specialized researchers and practitioners with a major contribution to mathematical models’ developments for energy systems. First, dynamic process simulation models based on mixture flow and two-fluid models are developed for combined-cycle power plants, pulverised coal-fired power plants, concentrated solar power plant and municipal waste incineration. Operation data, obtained from different power stations, are used to investigate the capability of dynamic models to predict the behaviour of real processes and to analyse the influence of modeling assumptions on simulation results. Then, a computational fluid dynamics (CFD) simulation programme, so-called DEMEST, is developed. Here, the fluid-solid, particle-particle and particle-wall interactions are modeled by tracking all individual particles. To this purpose, the deterministic Euler-Lagrange/Discrete Element Method (DEM) is applied and further improved. An emphasis is given to the determination of inter-phase values, such as volumetric void fraction, momentum and heat transfers, using a new procedure known as the offset-method and to the particle-grid method allowing the refinement of the grid resolution independently from particle size. Model validation is described in detail. Moreover, thermochemical reaction models for solid fuel combustion are developed based on quasi-single-phase, two-fluid and Euler-Lagrange/MP-PIC models. Measurements obtained from actual power plants are used for validation and comparison of the developed numerical models. ;en_US
dc.description.statementofresponsibilityby Falah Alobaid.en_US
dc.description.tableofcontentsIntroduction -- Process Simulation -- Computational Fluid Dynamics -- Results -- Conclusion. ;en_US
dc.format.extentXXVI, 431 p. 199 illus., 109 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesSpringer Tracts in Mechanical Engineering, ; 2195-9862 ;en_US
dc.relation.ispartofseriesSpringer Tracts in Mechanical Engineering, ; 2195-9862 ;en_US
dc.relation.haspart9783319762340.pdfen_US
dc.subjectEngineeringen_US
dc.subjectEnergy systems. ;en_US
dc.subjectVibration. ;en_US
dc.subjectDynamical systems. ;en_US
dc.subjectDynamics. ;en_US
dc.subjectFluid mechanics. ;en_US
dc.subjectEngineeringen_US
dc.subjectVibration, Dynamical Systems, Control. ;en_US
dc.subjectEnergy Systems. ;en_US
dc.subjectEngineering Fluid Dynamics. ;en_US
dc.subjectNumerical and Computational Physics, Simulation. ;en_US
dc.titleNumerical Simulation for Next Generation Thermal Power Plantsen_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
dc.classification.lcTA355 ;en_US
dc.classification.lcTA352-356 ;en_US
dc.classification.dc620 ; 23 ;en_US
Appears in Collections:مهندسی مدیریت ساخت

Files in This Item:
File Description SizeFormat 
9783319762340.pdf25.05 MBAdobe PDFThumbnail
Preview File