How to determine the yield of pressure swing adsorption (calculation)
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In pressure swing adsorption, if the adsorption pressure, the composition of the feed gas, and the number of pressure equalization cycles are known, and if it is also known approximately how much each gas in the feed gas is adsorbed by the selected adsorbent under different conditions, then given a fixed number of columns, how can I determine the relationship between the components of the gas at the top and bottom of the columns, as well as the volume flow rates of the gases? This post was last edited by bht11 on 2007-7-7 10:59]
Are you confused? The best approach isn’t to collect all the vented gas from the systems in a gas tank and calculate the amount for one hour, right? Haha. Almost. :lol
Friends upstairs, my question is simply about how to determine the relationship between them during the design phase, before the device is actually built. If the device has already been built, would I still need to ask such a \"simple\" question? In other words, it’s about figuring out how to determine the relationship between theory and practice; it’s not about waiting until the device is built before conducting analysis. Of course, practical data can also provide a rough idea of this relationship, but what I need are the data that result from calculations. Please
If that’s the case, it seems we can only rely on the empirical data from various manufacturers. I suggest that everyone share their empirical data! !
In fact, engineering design does not rely solely on empirical data or theoretical calculations; it is often a combination of the two. I believe that the design of pressure swing adsorption currently relies mainly on empirical data by many design firms, but theoretical data is also essential to consider. What I’m thinking about is how to establish a relationship between theoretical and practical data, and how to connect the two together. This would enable the provision of design data for new areas or new scenarios related to pressure swing adsorption, as well as allow for the assessment of certain issues that arise in this field at present.
Pressure swing adsorption has always been ahead of theory in terms of industrial application~~~
The data from experiments often differs significantly from that obtained in production, especially in the case of pressure swing adsorption. The key issue is how to establish a relationship between these two sets of data; I find it difficult sometimes. Do those with experience have any advice on how to combine design data with practical data?
For manufacturers that have a large amount of engineering data, I believe it is necessary for the relevant personnel to develop appropriate mathematical models. This way, they can take targeted actions when pressure swing adsorption is introduced into new areas, and it also enables better optimization of future projects.
I think the original poster’s question is very constructive; although I don’t know much about pressure swing adsorption, I strongly support the poster’s idea. To help everyone improve together, I hope experts will step forward to provide guidance.
Bro, your idea is very constructive; I agree! The results obtained from theoretical calculations differ greatly from the actual data collected on site. I have been pondering this issue, and my idea is: whether it’s possible to develop a mathematical model that has been adjusted based on on-site data, provided that there is an adequate amount of such data and experimental information. Without sufficient on-site data, it’s impossible to determine the correction factors, which is really frustrating!
The key to this calculation is to determine the dynamic adsorption capacity of the adsorbent for various adsorbates at the operating pressure, in order to calculate the adsorption amount. However, it is very difficult to determine this dynamic adsorption capacity; generally, experience has to be relied on for making such determinations, as the actual operating conditions differ significantly from the experimental data. Adjustments are often made repeatedly in similar devices.