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1 Introduction 9 Fig. 1.2-2 Comparison between the predicted and experimental feed rate for two cycle times [44] The authors investigated the influence of cycle time on the PSA process performance, which was confirmed by the model qualitatively; however, accuracy values were omitted. The comparison between predicted and experimental data is presented in Fig. 1.2.1–2. The applied model correctly predicts the product composition at very high (10 ppm O2) and very low (1 vol.-% O2) purity levels. In the intermediate range, the precision of prognostication significantly declines. For instance, it can be seen that at the experimental value of product purity equals about 300 ppm O2, the mathematical model estimation equals about 2000 ppm O2. Thus, the committed relative error of approximation equals about 85 %, which is not satisfying in industrial practice; especially in the case of operating a very basic PSA cycle. Moreover, significant dissimilarities in the process dynamics were observed during generation of high-purity and low-purity nitrogen via PSA technique. Those findings suggest that either different mathematical models of mass transfer kinetics should be applied at specific product purity levels due to unique diffusion characteristics within microporous CMS; or, the universal mathematical model which properly predicts the PSA performance regardless of product purity level was not developed so far. 1.3 Motivation and purpose of scientific work Despite many years of process employment (since the 1980s) along with experimental research and computer modelling, the N2-PSA separation is still not fully comprehensible [35]. Various process intensification strategies were meanwhile developed and successfully implemented by engineers in commercial plants. However, both empirical data and process simulation results presenting those methods are still not acknowledged in literature. This provides the motivation to develop and to validate a new mathematical model of a twin-bed PSA for the production of high-purity nitrogen, covering multiple process conditions, operating strategies of technical relevance, and system design parameters. Therefore, both experimental and numerical data would bring significant benefits, such as improvement of engineering strategies, and progression of the scientific advancement.PDF Image | Modelling and Simulation of Twin-Bed Pressure Swing Adsorption Plants
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