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estimation, final values with a higher level of certainty were obtained for a constant variance of 0.01 and equal lower and upper bounds for all the components in both adsorbents. When the parameters being estimated were the isotherm parameters, a higher number of iterations were required to obtain the wanted estimation and a higher level of uncertainty took place. This results can be explained by the high number of parameters being estimated, the complexity of the breakthrough model and the fact that, a slightly change in one of the parameters has a huge impact in the control variable and, therefore, in the breakthrough curve. The values obtained in the parameter estimation simulation are strongly affected by the model and the measured data being given to gPROMS®. Results with a high level of uncertainty can indicate that the model being used for simulating the process is not robust, that great errors are associated with the measured data or, that the amount of measured data given to gPROMS® is not enough to provide the desired estimations. gPROMS® is not able yet to produce estimations with a high level of certainty, however this tool is in a development and improvement stage. 5.2 Limitations and future work Taking into consideration that the adsorption is different from adsorbent to adsorbent, and from component to component, the possibility of using different isotherms for different adsorbents could become useful. When it comes to the parameter estimation tool, making the simulation faster would be extremely important since it would be possible to perform several attempts of estimating the parameters, testing different bounds and initial guesses without spending a considerable amount of time in each simulation. Pressure Swing Adsorption for Hydrogen Purification Conclusions 48PDF Image | PRESSURE SWING ADSORPTION FOR THE PURIFICATION OF HYDROGEN
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