Discrete equilibrium data from dynamic column breakthrough experiments
A new method for extracting discrete equilibrium data from a set of dynamic column breakthrough experiments is described. Instead of the classical approach where an isotherm model, i.e., a function, is used to describe the equilibrium, this approach represents the isotherm as a set of discrete point...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/100986 http://hdl.handle.net/10220/16720 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | A new method for extracting discrete equilibrium data from a set of dynamic column breakthrough experiments is described. Instead of the classical approach where an isotherm model, i.e., a function, is used to describe the equilibrium, this approach represents the isotherm as a set of discrete points. For a given set of discrete fluid phase concentrations, an optimization method is used to determine the corresponding solid loadings that lead to the best-fit prediction of the experimental breakthrough profile. In this work, we develop the algorithm and validate it using single-component case studies, for a variety of isotherm shapes. The practical use of the method is demonstrated by applying it to experimentally measured breakthrough profiles taken from the literature. |
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