Thesis
Numerical method for modeling iodine sorption in charcoal filters
Washington State University
Master of Science (MS), Washington State University
2018
Handle:
https://hdl.handle.net/2376/101452
Abstract
A computer code was developed to simulate unsteady iodide transport and adsorption within a charcoal filter based on the advection-diffusion-sorption equation. The code accepts user inputs and performs calculations for the time-dependent concentration of iodides in the vapor phase as well as the adsorbed phase within discrete nodes defined by the user. The model includes advective and diffusive transport for iodides in a charcoal filter. Transport of iodides is coupled with a sorption kinetics model that includes first order reversible physisorption and second order irreversible chemisorption. Multiple independent iodide compounds can be modeled simultaneously. The independent iodide compounds are coupled by a decay-chain model and the combined concentration of the independent compounds is coupled to the chemisorption capacity of the filter. Theoretical equations of the charcoal filter model are presented and discussed. The theoretical equations are solved by the method of finite differences implemented in the Python programming language. The unsteady advection-diffusion-sorption equation is solved by implicit time integration. The advective and diffusive terms are discretized by first order upwind and second order central difference schemes, respectively. Physisorption and chemisorption mass balances are solved implicitly and semi-implicitly, respectively. Validation of the model was performed through experimental benchmarking. Benchmarking demonstrates that the numerical solution correctly predicts measured data. Numerical testing was performed to evaluate the rates of solution convergence for time step size and node increment.
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Details
- Title
- Numerical method for modeling iodine sorption in charcoal filters
- Creators
- Mark Stephen Lanza
- Contributors
- Changki Mo (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; [Pullman, Washington] :
- Identifiers
- 99900525007601842
- Language
- English
- Resource Type
- Thesis