[Amath-seminars] Fwd: Thursday Seminar, Xin Sun, PNNL, 4-5pm, Smith 105

Loyce M. Adams lma3 at uw.edu
Thu Dec 1 14:37:35 PST 2016

FYI. The seminar information for today is below.

---------- Forwarded message ----------
From: Loyce M. Adams <lma3 at uw.edu>
Date: Tue, Nov 29, 2016 at 11:47 AM
Subject: Thursday Seminar, Xin Sun, PNNL, 4-5pm, Smith 105
To: amath-local at amath.washington.edu, affiliate at amath.washington.edu


Our Thursday seminar this week will be 4-5pm in Smith 105 and will
be given by Xin Sun from PNNL. The title and abstract follow. Hope to
see all of you there.

Loyce Adams

Speaker: Xin Sun

Title: Quantify predictive confidence of device-scale CO2 capture with
a hierarchial calibration and validation approach

A challenging problem in designing pilot-scale carbon capture systems
is to predict, with uncertainty, the adsorber performance and capture
efficiency under various operating conditions where no direct
experimental data exist. Motivated by this challenge, we developed a
hierarchical framework in which relevant parameters of physical models
are sequentially calibrated from different laboratory-scale carbon
capture unit (C2U) experiments. The calibration and validation
hierarchy will be described first. At the laboratory scale, three
unit problems with increasing physical complexity were identified
based on the fundamental physical and chemical processes of the
sorbent-based carbon capture technology. Results from the
corresponding laboratory-scale experiments were used to statistically
calibrate the physical model parameters while quantifying some of
their inherent uncertainty. Next, device-scale multiphase reactive
flow simulations for a 1-MW sorbent-based carbon capture system are
performed at different operation conditions. The posterior parameter
distributions obtained from the laboratory-scale C2U calibration runs
are used as priors in the 1-MW pilot scale simulation study to
facilitate prediction with confidence bounds at a larger scale where
no corresponding experimental results are available. The simulation
results are used to quantify uncertainty regarding the design’s
predicted efficiency in carbon capture. In particular, we determine
the minimum gas flow rate necessary to achieve 90% capture efficiency
with 95% confidence.

More information about the Amath-seminars mailing list