LEADER 03950nam 22006255 450 001 9910299951603321 005 20200702171053.0 010 $a3-319-76234-6 024 7 $a10.1007/978-3-319-76234-0 035 $a(CKB)4100000002892448 035 $a(MiAaPQ)EBC5334708 035 $a(DE-He213)978-3-319-76234-0 035 $a(PPN)225552086 035 $a(EXLCZ)994100000002892448 100 $a20180329d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNumerical Simulation for Next Generation Thermal Power Plants /$fby Falah Alobaid 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (xxvi, 431 pages) 225 1 $aSpringer Tracts in Mechanical Engineering,$x2195-9862 311 $a3-319-76233-8 327 $aIntroduction -- Process Simulation -- Computational Fluid Dynamics -- Results -- Conclusion. 330 $aThe book provides highly specialized researchers and practitioners with a major contribution to mathematical models? developments for energy systems. First, dynamic process simulation models based on mixture flow and two-fluid models are developed for combined-cycle power plants, pulverised coal-fired power plants, concentrated solar power plant and municipal waste incineration. Operation data, obtained from different power stations, are used to investigate the capability of dynamic models to predict the behaviour of real processes and to analyse the influence of modeling assumptions on simulation results. Then, a computational fluid dynamics (CFD) simulation programme, so-called DEMEST, is developed. Here, the fluid-solid, particle-particle and particle-wall interactions are modeled by tracking all individual particles. To this purpose, the deterministic Euler-Lagrange/Discrete Element Method (DEM) is applied and further improved. An emphasis is given to the determination of inter-phase values, such as volumetric void fraction, momentum and heat transfers, using a new procedure known as the offset-method and to the particle-grid method allowing the refinement of the grid resolution independently from particle size. Model validation is described in detail. Moreover, thermochemical reaction models for solid fuel combustion are developed based on quasi-single-phase, two-fluid and Euler-Lagrange/MP-PIC models. Measurements obtained from actual power plants are used for validation and comparison of the developed numerical models. 410 0$aSpringer Tracts in Mechanical Engineering,$x2195-9862 606 $aVibration 606 $aDynamics 606 $aDynamics 606 $aEnergy systems 606 $aFluid mechanics 606 $aPhysics 606 $aVibration, Dynamical Systems, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/T15036 606 $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000 606 $aEngineering Fluid Dynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15044 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 615 0$aVibration. 615 0$aDynamics. 615 0$aDynamics. 615 0$aEnergy systems. 615 0$aFluid mechanics. 615 0$aPhysics. 615 14$aVibration, Dynamical Systems, Control. 615 24$aEnergy Systems. 615 24$aEngineering Fluid Dynamics. 615 24$aNumerical and Computational Physics, Simulation. 676 $a621.4 700 $aAlobaid$b Falah$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062008 906 $aBOOK 912 $a9910299951603321 996 $aNumerical Simulation for Next Generation Thermal Power Plants$92521984 997 $aUNINA