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Title: Discrepancy quantification between experimental and simulated data of CO2 adsorption isotherm using hierarchical Bayesian estimation

Journal Article · · Separation and Purification Technology
 [1];  [2];  [3];  [3];  [3];  [4];  [1];  [1];  [5]
  1. Nagoya University (Japan)
  2. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)
  3. Georgia Institute of Technology, Atlanta, GA (United States)
  4. Georgia Institute of Technology, Atlanta, GA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Nagoya University (Japan); Georgia Institute of Technology, Atlanta, GA (United States)

Here, to quantitatively analyze the inconsistencies commonly observed between experimental and simulated adsorption isotherms, parameter estimation of adsorption isotherm models was conducted by hierarchical Bayesian estimation with parameter uncertainties being quantified as probability distributions. The estimation method was implemented using Markov Chain Monte Carlo (MCMC) to analyze multiple data sets obtained from different sources, including a publicly available database. To describe the discrepancies of experimental and simulated adsorption data, the simulation data was set as the reference to which experimental measurements were compared. We applied the proposed approach to analyze CO2 adsorption isotherms that are measured and simulated on zeolite 13X and MIL-101(Cr). In these case studies, the discrepancy of CO2 adsorption isotherm was successfully quantified between experimental measurements and predictions given by molecular simulations using Grand Canonical Monte Carlo (GCMC), where uncertainties were quantified as probability distributions. Furthermore, experimental data sets that agree well with the GCMC simulation have been identified, providing insights into experimental and measurement methods as well as choosing the right assumptions in the molecular simulation.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES); Japan Society for the Promotion of Science (JSPS)
Grant/Contract Number:
AC05-00OR22725; SC0012577
OSTI ID:
1876308
Journal Information:
Separation and Purification Technology, Journal Name: Separation and Purification Technology Journal Issue: 9 Vol. 296; ISSN 1383-5866
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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