Assessment of model parameters in MFiX particle-in-cell approach

Vaidheeswaran, Avinash; Gel, Aytekin; Clarke, MaryAnn; Rogers, William

doi:10.1016/j.apt.2021.06.011

Assessment of model parameters in MFiX particle-in-cell approach

Journal Article · Tue Jun 01 00:00:00 EDT 2021 · Advanced Powder Technology

DOI:https://doi.org/10.1016/j.apt.2021.06.011· OSTI ID:1869900

Vaidheeswaran, Avinash ^[1]; Gel, Aytekin ^[2]; Clarke, MaryAnn ^[1]; Rogers, William ^[3]

National Energy Technology Lab. (NETL), Morgantown, WV (United States); National Energy Technology Lab. (NETL), Morgantown, WV (United States). Leidos Research Support Team
ALPEMI Consulting, LLC, Tempe, AZ (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States)

The limitations in numerical treatment of solids-phase in conventional methods like Discrete Element Model and Two-Fluid Model have facilitated the development of alternative techniques such as Particle-In-Cell (PIC). However, a number of parameters are involved in PIC due to its empiricism. In this work, global sensitivity analysis of PIC model parameters is performed under three distinct operating regimes common in chemical engineering applications, viz. settling bed, bubbling fluidized bed and circulating fluidized bed. Simulations were performed using the PIC method in Multiphase Flow with Interphase eXchanges (MFiX) developed by National Energy Technology Laboratory (NETL). A non-intrusive uncertainty quantification (UQ) based approach is applied using Nodeworks to first construct an adequate surrogate model and then identify the most influential parameters in each case. This knowledge will aid in developing an effective design of experiments and determine optimal parameters through techniques such as deterministic or statistical calibration.

View Accepted Manuscript (DOE)

Research Organization:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: 89243318CFE000003

OSTI ID:: 1869900

Journal Information:: Advanced Powder Technology, Journal Name: Advanced Powder Technology Journal Issue: 8 Vol. 32; ISSN 0921-8831

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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01 COAL, LIGNITE, AND PEAT
MFiX
Sobol' indices
global sensitivity analysis
multiphase
nodeworks
particle-in-cell
response surface
surrogate modeling

Assessment of model parameters in MFiX particle-in-cell approach

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