Quantifying the uncertainty introduced by discretization and time-averaging in two-fluid model predictions

Syamlal, Madhava; Celik, Ismail B.; Benyahia, Sofiane

doi:10.1002/aic.15868

Quantifying the uncertainty introduced by discretization and time-averaging in two-fluid model predictions

Journal Article · Wed Jul 12 00:00:00 EDT 2017 · AIChE Journal

DOI:https://doi.org/10.1002/aic.15868· OSTI ID:1440343

^[1]; Celik, Ismail B. ^[2]; ^[3]

National Energy Technology Lab. (NETL), Morgantown, WV (United States). Science & Technology Strategic Plans & Programs
National Energy Technology Lab. (NETL), Morgantown, WV (United States). Research & Innovation Center; West Virginia Univ., Morgantown, WV (United States). Mechanical and Aerospace Engineering
National Energy Technology Lab. (NETL), Morgantown, WV (United States). Research & Innovation Center

The two-fluid model (TFM) has become a tool for the design and troubleshooting of industrial fluidized bed reactors. To use TFM for scale up with confidence, the uncertainty in its predictions must be quantified. Here, we study two sources of uncertainty: discretization and time-averaging. First, we show that successive grid refinement may not yield grid-independent transient quantities, including cross-section–averaged quantities. Successive grid refinement would yield grid-independent time-averaged quantities on sufficiently fine grids. A Richardson extrapolation can then be used to estimate the discretization error, and the grid convergence index gives an estimate of the uncertainty. Richardson extrapolation may not work for industrial-scale simulations that use coarse grids. We present an alternative method for coarse grids and assess its ability to estimate the discretization error. Second, we assess two methods (autocorrelation and binning) and find that the autocorrelation method is more reliable for estimating the uncertainty introduced by time-averaging TFM data.

View Accepted Manuscript (DOE)

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

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

OSTI ID:: 1440343

Report Number(s):: NETL-PUB--21134

Journal Information:: AIChE Journal, Journal Name: AIChE Journal Journal Issue: 12 Vol. 63; ISSN 0001-1541

Publisher:: American Institute of Chemical EngineersCopyright Statement

Country of Publication:: United States

Language:: English

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Quantifying the uncertainty introduced by discretization and time-averaging in two-fluid model predictions

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References (38)

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