Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester
Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester
复制标题
全尺寸沼气混合厌氧消化池的格子-玻尔兹曼 LES 建模
DOI:
10.1007/s00366-023-01854-3
复制
发表时间:
2023
影响因子:
8.7
通讯作者:
Dapelo D
中科院分区:
文献类型:
--
作者:
Dapelo D
An Euler–Lagrange multicomponent, non-Newtonian Lattice-Boltzmann method is applied for the first time to model a full-scale gas-mixed anaerobic digester for wastewater treatment. Rheology is modelled through a power-law model and, for the first time in gas-mixed anaerobic digestion modelling, turbulence is modelled through a Smagorinsky Large Eddy Simulation model. The hydrodynamics of the digester is studied by analysing flow and viscosity patterns, and assessing the degree of mixing through the Uniformity Index method. Results show independence from the grid size and the number of Lagrangian substeps employed for the Lagrangian sub-grid simulation model. Flow patterns are shown to depend mildly on the choice of bubble size, but not the asymptotic degree of mixing. Numerical runs of the model are compared to previous results in the literature, from a second-ordered Finite-Volume Method approach, and demonstrate an improvement, compared to literature data, of 1000-fold computational efficiency, massive parallelizability and much finer attainable spatial resolution. Whilst previous research concluded that the application of LES to full-scale anaerobic digestion mixing is unfeasible because of high computational expense, the increase in computational efficiency demonstrated here, now makes LES a feasible option to industries and consultancies.
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DOI:
10.2166/wst.2020.086
发表时间:
2020
期刊:
a journal of the International Association on Water Pollution Research
影响因子:
--
作者:
Dapelo D
通讯作者:
Dapelo D
DOI:
--
发表时间:
2023
期刊:
Concurrency and Computation
影响因子:
--
作者:
A. Kummerländer;M. Dorn;M. Frank;M. Krause
通讯作者:
M. Krause
DOI:
10.1016/j.jocs.2016.03.013
发表时间:
2016
期刊:
J. Comput. Sci.
影响因子:
--
作者:
R. Trunk;T. Henn;W. Dörfler;H. Nirschl;M.J. Krause
通讯作者:
M.J. Krause
影响因子:
11.4
作者:
Dapelo, Davide;Bridgeman, John
通讯作者:
Bridgeman, John
影响因子:
7.4
作者:
M. Siodlaczek;Maximilian Gaedtke;Stephan Simonis;M. Schweiker;Naohiko Homma;M. Krause
通讯作者:
M. Krause