Workshop#65 - Improving Peng Robinson Binary Parameters via Regression

Regression, Data, Binary Parameters
Aspen Plus - Physical Properties
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[@waeljaber9284]

Great video, really useful :)

[@ChemicalEngineeringGuy]

thnx man! Really appreciate it!

[@panoskb9405]

If we want to use the regressed model in the simulation environment what we need to do?

[@ChemicalEngineeringGuy]

Some steps: 1. Define the Regression Model: In the simulation, navigate to the component or property you want to model. Right-click on the component or property and select "Modeling" or a similar option. 2. Choose the Regression Model: Select "Regression" as the modeling method. Aspen Plus will typically offer various regression models, such as linear regression, polynomial regression, etc. Choose the one that best fits your data and requirements. 3. Enter Data: Input your experimental data or mathematical equations into the regression model. This data should include the independent variables (e.g., temperature, pressure) and the dependent variable you want to predict or correlate. 4. Configure Regression Settings: Configure the regression settings, such as the regression type (linear, nonlinear, etc.), number of coefficients, and the fitting method (e.g., least squares). 5. Run the Regression Analysis: Execute the regression analysis to fit the model to your data. Aspen Plus will calculate the coefficients for your regression model. 6. Review and Validate the Model: Carefully review the results of the regression analysis. Check the goodness-of-fit statistics, like R-squared, to assess the model's accuracy. You may need to iterate and refine the model to improve its accuracy. 7. Save the Custom Model: Once you are satisfied with the regression model's performance, save it within your Aspen Plus simulation project. 8. Apply the Custom Model: Now that you have created the custom model, you can use it to predict properties or simulate processes within your Aspen Plus project. Insert the custom model into relevant unit operations or property blocks. 9. Validate and Test: Always validate your custom regression model with real-world data or known theoretical values to ensure its accuracy and reliability.

[@ParagPatilChemEngg]

Why you did not carried a consistency test? Because , I heard that consistency might get failed ( all experimental data is not always good !)

[@ChemicalEngineeringGuy]

Not really, those came from an experimental data. As you stated, is always important to test them before using them as 100% correct

[@bhavikpatel6474]

Hi can you make video on batch column detailed simulation

[@ChemicalEngineeringGuy]

I will try to do it!

[@chinmoybasak7749]

Hi Thank you so much for the video. Can I please ask one question.

[@chinmoybasak7749]

It is about Ethylene Glycol Example CPA regression. The simulation file does not agree with the PDF provided. Nighter I could successfully do the regression myself.

[@chinmoybasak7749]

Would very much appreciate your reply.

[@ChemicalEngineeringGuy]

please send me the info and simulation to [e-mail]

[@chinmoybasak7749]

@@ChemicalEngineeringGuy Thank you so much for your consideration. I have sent you the email.

[@daelimefive]

Good overview, but where is the deeper sense to model atmospheric Txy data with a cubic equation of state?

[@ChemicalEngineeringGuy]

not really. But you can get it in AspenTech Software

[@daelimefive]

@@ChemicalEngineeringGuy you can get quite everything in Aspen Tech, modelling all sort of VLE data. Whether it makes sense to use EOS or GE-Models for specific cases is written on another paper. There are so many publications out there giving more and more sorts of EOS-extensions for VLE data of one or few specific systems at specific conditions that I question whether anyone does still really profit from this "load" of data fitting publications that is out there. I doubt it at least.

[@fatsacktony1]

Do you have a video of adding heat exchanger or heat recovery to a radfrac block? Like recovering heat from a hot stream with an exchanger before the reboiler (reboiler is run off utility).

[@ChemicalEngineeringGuy]

Nope, but you can do that with a heater pretty easily