Numerical Convection Algorithms and Their Role in Eulerian CFD Reactor Simulations

被引:6
|
作者
Jakobsen, Hugo A. [1 ]
机构
[1] Norwegian Univ Sci & Technol, Trondheim, Norway
关键词
multiphase reactors; Eulerian models; numerical diffusion; dynamic flow patterns; numerical methods; convection;
D O I
10.2202/1542-6580.1006
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this paper a comparative convection algorithm study is presented. The performance of a large number of schemes is compared evaluating the predicted solutions for a standard benchmarking test problem. The nature of the errors caused by the numerical approximations to the convection term is highlighted. Although there is no algorithm that performs the best in general, several conclusions can be made. The tests performed show that the 1st order upwind scheme and several variations of this scheme are very diffusive and should be avoided. Most stable 2nd order schemes seem to be much more accurate, whereas the accuracy gained by higher order schemes (3rd order and 4th order) may be a little more costly. Implicit time integration schemes are usually not as efficient as the corresponding explicit schemes due to the computational time required on the iterative process. With larger time steps the accuracy of implicit schemes decrease rapidly. The choice of proper higher order schemes (2nd order schemes) is then seemingly determined by the trade-off between accuracy and computational time. The conservative methods like the UTOPIA, the QUICK-1D combined with a limiter, and a limited number of FCT and TVD formulations may be sufficient solving the multi-fluid model equations. For advective terms (e.g., as occur in the temperature equation) the non-flux-based modified method of characteristics is very fast, but also other higher order (2nd order) schemes performed well.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Numerical simulations of convection in the titanium reduction reactor
    Teimurazov, A.
    Frick, P.
    Weber, N.
    Stefani, F.
    INTERNATIONAL CONFERENCE PROBLEMS OF THERMAL PHYSICS AND POWER ENGINEERING (PTPPE-2017), 2017, 891
  • [2] Numerical CFD Simulations for Optimizing a Biomass Gasifier and Methanation Reactor Design and Operating Conditions
    Bogdanova, V.
    George, E.
    Meynet, N.
    Kara, Y.
    Barba, A.
    INFUB - 11TH EUROPEAN CONFERENCE ON INDUSTRIAL FURNACES AND BOILERS (INFUB-11), 2017, 120 : 278 - 285
  • [3] Machine learning clustering algorithms for the automatic generation of chemical reactor networks from CFD simulations
    Savarese, Matteo
    Cuoci, Alberto
    De Paepe, Ward
    Parente, Alessandro
    FUEL, 2023, 343
  • [4] CFD Simulations of Gas Fluidized Beds Using Alternative Eulerian-Eulerian Modelling Approaches
    Lettieri, Paola
    Cammarata, Luca
    Micale, Giorgio D. M.
    Yates, John
    INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING, 2003, 1
  • [5] On the accuracy of Eulerian-Lagrangian CFD simulations for spray On the accuracy of Eulerian-Lagrangian CFD simulations for spray evaporation in turbulent flow evaporation in turbulent flow
    Xia, Lili
    Montazeri, Hamid
    Blocken, Bert
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2025, 208
  • [6] Numerical simulations of the κ-mechanism with convection
    Gastine, T.
    Dintrans, B.
    ASTROPHYSICS AND SPACE SCIENCE, 2010, 328 (1-2) : 245 - 251
  • [7] Numerical simulations of the κ-mechanism with convection
    T. Gastine
    B. Dintrans
    Astrophysics and Space Science, 2010, 328 : 245 - 251
  • [8] NUMERICAL SIMULATIONS OF CONVECTION IN CORE
    GUBBINS, D
    GEOPHYSICAL JOURNAL OF THE ROYAL ASTRONOMICAL SOCIETY, 1978, 53 (01): : 145 - 145
  • [9] NUMERICAL SIMULATIONS OF NONLOCAL CONVECTION
    XIONG, DR
    ASTRONOMY & ASTROPHYSICS, 1989, 213 (1-2) : 176 - 182
  • [10] CFD Modelling of Biomass Gasification in Fluidized-Bed Reactor Using the Eulerian-Eulerian Approach
    Thankachan, Issac
    Rupesh, S.
    Muraleedharan, C.
    DYNAMICS OF MACHINES AND MECHANISMS, INDUSTRIAL RESEARCH, 2014, 592-594 : 1903 - +