The same thermodynamic approach for aspen uses different interaction parameters
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I would like to ask the experts here: in Aspen Plus, I used experimental data to regress two sets of interaction parameters for the Wilson-SRK equation under high-pressure and medium-pressure conditions. Later on, I hope to use these two sets of parameters in a process simulation file. Such as high-pressure distillation columns and atmospheric pressure distillation columns, but I don’t know how to achieve this. Because the two physical property methods are exactly the same; the only difference lies in the thermodynamic interaction parameters. It cannot be achieved by making changes through the block option within the module. I hope experts can give me some advice! !
The process can only be interrupted; the interaction parameters for high-pressure regression and those for low-pressure regression are applied separately, with the outlet logistics information at the interruption point being used as the inlet information.
It is possible to consider creating a copy of the feed stream process, one corresponding to the high-pressure regression interaction parameters and the other to the medium-pressure regression interaction parameters; both processes can be included in the same file.
OP, I’m facing the same issue you mentioned! ! I wonder how you resolved it later! ! ! !
Give it a push! ! There was no one before this post, and none will come after it! The champion of posts!
How is this done? Only one regression parameter can be used – how is it possible to have a bkp at the same time?
Does \"disconnection process\" refer to two BKPs?
It is recommended not to divide it into two BKPs; this approach makes it impossible to handle cycles. Instead, the high-pressure and low-pressure data should be included in a single regression model, with weights assigned to them. This allows coverage of the entire pressure range; in reality, pressure changes gradually. If specific parameters are imposed for certain stages of the process, problems will arise, as the range between high pressure and medium pressure will not be covered. In each BKP, only one regression can be specified for each parameter; therefore it’s simply not possible to use two sets of regression data at the same time. If you want to use another set, you can only use the built-in dataset, but in that case all other parameters will change as well.
This ProII is easy to implement; one just needs to select two Wilson equations when choosing the thermodynamic equations, and then set them up separately. But it’s not clear how Aspen achieves this; I searched but couldn’t find any information