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E-book
Author Alobaid, Falah, author

Title Numerical simulation for next generation thermal power plants / Falah Alobaid
Published Cham, Switzerland : Springer, 2018

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Description 1 online resource (xxvi, 431 pages) : illustrations
Series Springer tracts in mechanical engineering
Springer tracts in mechanical engineering.
Contents Intro; Foreword; Preface; Contents; Nomenclature; 1. Introduction; 1.1. State of the Art; 1.2. Objectives; 1.3. Structure; References; 2. Process Simulation; 2.1. Thermal Hydraulic Models; 2.1.1. Mixture Flow Model; 2.1.2. Two-Fluid Model; 2.1.2.1. Four-Equation Flow Model; 2.1.2.2. Five-Equation Flow Model; 2.1.2.3. Six-Equation Flow Model; 2.1.2.4. Seven-Equation Flow Model; 2.2. Process Components; 2.2.1. Connection Point; 2.2.2. Thin-Walled Tube; 2.2.2.1. Pipe; 2.2.2.2. Valve; 2.2.2.3. Heat Exchanger; 2.2.2.4. Attemperator/Desuperheater; 2.2.3. Thick-Walled Tube; 2.2.3.1. Header; 2.2.3.2. Drum
2.2.3.3. Separator; 2.2.3.4. Feedwater Storage Tank; 2.2.4. Turbomachines; 2.2.4.1. Compressor; 2.2.4.2. Fan; 2.2.4.3. Blower; 2.2.4.4. Pump; 2.2.4.5. Steam Turbine; 2.2.4.6. Gas Turbine; 2.2.5. Additional Components; 2.2.5.1. Combustion Chamber; 2.2.5.2. Fluidized Bed; 2.2.5.3. Fuel Cell; 2.2.5.4. Weather; 2.2.5.5. Mill; 2.2.5.6. Flue Gas Control; 2.3. Automation Components; 2.3.1. Measurement Modules; 2.3.2. Analogue Modules; 2.3.2.1. Basic Modules; 2.3.2.2. Static Modules; 2.3.2.3. Dynamic Modules; 2.3.3. Binary Modules; 2.3.3.1. Basic Modules; 2.3.3.2. Advanced Modules; 2.3.4. Signal Source Modules
2.3.5. Controller Modules; 2.4. Electrical Components; 2.4.1. Basic Modules; 2.4.2. Current Sources Modules; 2.4.3. DC and AC Modules; 2.5. Conclusion; References; 3. Computational Fluid Dynamics; 3.1. Numerical Methods for Single-Phase Flow; 3.1.1. Particle Methods; 3.1.1.1. Smoothed Particle Hydrodynamic Method; 3.1.1.2. Mesh-Free Galerkin Methods; 3.1.1.3. Other Particle Methods; 3.1.2. Grid-Based Methods; 3.1.2.1. Numerical Grid; 3.1.2.2. Discretisation Methods; Spatial Discretisation; Temporal Discretisation; Pressure Correction Methods; Boundary and Initial Values; Turbulent Flow; Radiation
3.1.2.3. Solution Methods; 3.2. Numerical Methods for Gas-Solid Flow; 3.2.1. Quasi-single-phase Method; 3.2.2. Two-Fluid Method; 3.2.3. Single-Particle Method; 3.2.3.1. Collision Detection Models; Stochastic Collision Detection Models; Deterministic Collision Detection Models; 3.2.3.2. Collision Treatment Models; Hard Sphere Model; Soft Sphere Model; Force Balance; Momentum Balance; 3.2.3.3. Inter-phase Coupling; Volumetric Void Fraction; Momentum Transfer; Heat Transfer; 3.2.3.4. Particle Time Step; 3.2.4. Hybrid Method; 3.3. Conclusion; References; 4. Results; 4.1. Dynamic Process Simulation
4.1.1. Combined-Cycle Power Plant; 4.1.1.1. Load Changes and Off-Design Operation; HRSG Model; Control Structure; Dynamic Simulation; 4.1.1.2. Start-up and Shutdown Procedures; Warm Start-up; Hot Start-up/Shutdown; 4.1.1.3. Process Improvements; Supplementary-Fired HRSG; Vertical Natural Circulation HRSG; Sub-Critical Once-Through HRSG; Super-Critical Once-Through HRSG; 4.1.2. Pulverised Coal-Fired Power Plant; 4.1.2.1. Single-Pass Boiler; 4.1.2.2. Two-Pass Boiler; 4.1.2.3. Oxyfuel Boiler; 4.1.3. Municipal Solid Waste Incineration; 4.1.3.1. Characterisation of Incinerator; 4.1.3.2. Incinerator Model
4.1.4. Concentrated Solar Power Plant; 4.2. CFD Simulation; 4.2.1. Quasi-single-phase Model; 4.2.2. Two-Fluid Model; 4.2.3. Single-Particle Model; 4.3. Conclusion; References; 5. Conclusion; 5.1. General Review; 5.2. Future Prospects
Summary The 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed April 5, 2018)
In Springer eBooks
Subject Power-plants -- Mathematical models
Renewable energy sources -- Mathematical models
Vibration.
Hydraulic engineering.
Vibration
vibration (physical)
hydraulic engineering.
Energy technology & engineering.
Mechanics of fluids.
Mathematical physics.
Dynamics & vibration.
TECHNOLOGY & ENGINEERING -- Mechanical.
Power-plants -- Mathematical models
Renewable energy sources -- Mathematical models
Form Electronic book
ISBN 9783319762340
3319762346