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Hello everyone. There are many articles on ion liquid extraction distillation. Following the approaches described in those papers, I carried out the following tasks: inputting the physical property parameters of the ion liquids and performing simulations to achieve their recovery. Using the calculation formulas from the literature, I calculated the TAC under specific conditions (fixed number of theoretical plates, reflux ratio, feed position, amount taken from the top of the tower, etc.). All of these steps were successful. What I would like to ask at the moment concerns the approaches being tried currently: 1. Importing data into Excel to enable synchronization between the calculation results in Aspen and those in Excel; 2. I just noticed that there is an optimization option in Aspen; 3. The connection between VB (or other programming languages) and Aspen. Note: There are issues with the implementation of all three of these methods at present. Regarding point 1: As for the data imported into Excel, how can optimization be achieved to obtain the lowest possible TAC? The specific steps and process are not clear, and it’s also unclear what kind of data is exported to Excel Is what is exported the sensitivity result or the final result? Regarding 2: It is still in the trial phase, with issues existing in both the operations and the procedural steps. Regarding 3: I tried it for a few days earlier, but due to a lack of knowledge in computer science, things have come to a standstill at present. Finally, I hope to be able to exchange ideas and offer guidance with those who are interested and experienced. Thank you.
For general issues, the functions built into Aspen should be sufficient; for problems like TAC that you mentioned, optimization can definitely be used. Aspen uses Fortran, so programming in Fortran is a good choice. Interaction with Excel is possible using DLLs written in Fortran; additionally, the Aspen Simulation Workbook should also be able to interact with Excel
Okay, thank you. I’ll try operating it again