hydrocarbon | not just an rss reader

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I'm going to pass values between class or Screen in this case, but the values is empty when I print it. Here's my py code:

I am learning how to use GEKKO for parameter estimation problems and as a first step, I am developing example problems that I have previously implemented using Scipy minimization routines. These have been done following the information available in APMonitor.com and the courses available within. The current problem is a batch reactor simulation of a methanol-to-hydrocarbons process obtained from: http://www.daetools.com/docs/tutorials-all.html#tutorial-che-opt-5

The model description can be followed in the code described further below, but the elementary steps considered are:

• A --> B
• A + B --> C
• C + B --> P
• A --> C
• A --> P
• A + B --> P

where experimental data is available for concentrations of A, C, and P as a function of time. The goal of the model is to estimate the rate constants for the six elementary reactions (k1-k6). The difficulty I am encountering right now is that my GEKKO model and my Scipy.optimize

• based models lead to different parameter estimates, despite using the same experimental data and initial guesses for the parameters. I have also compared this model to one developed using gPROMS and Athena Visual Studio, with the scipy model agreeing with the parameter estimates obtained with these closed-sourced programs. The estimated parameters for each program are shown below:

• Scipy model (L-BFGS-B optimizer): [k1 k2 k3 k4 k5 k6] = [2.779, 0., 0.197, 3.042, 2.148, 0.541]

• GEKKO model (IPOPT optimizer): [k1 k2 k3 k4 k5 k6] = [3.7766387559, 1.1826920269e-07, 0.21242442412, 4.130394645, 2.4232122905, 3.3140978171]

Interestingly, both models lead to the same objective function value of 0.0123 at the end of the optimization and look similar in the plots of species concentration vs time. I have tried changing GEKKO's optimizer and tightened tolerances to 1E-8 to no avail. My guess is that my GEKKO model isn't properly set up, but I cannot find the issue with it. Any help would be appreciated in pointing me to possible issues that may be leading to the model discrepancies. I attach the two scripts below:

Problem

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This is my function:

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I welcome alternative means of naming a DOM element so it is clear to what object property it is referring

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The problem is in the picture

Question's image:

Question 2 Many substances that can burn (such as gasoline and alcohol) have a chemical structure based on carbon atoms; for this reason they are called hydrocarbons. A chemist wants to understand how the number of carbon atoms in a molecule affects how much energy is released when that molecule combusts (meaning that it is burned). The chemists obtains the dataset below. In the column on the right, kj/mole is the unit measuring the amount of energy released. examples.

You would like to use linear regression (h a(x)=a0+a1 x) to estimate the amount of energy released (y) as a function of the number of carbon atoms (x). Which of the following do you think will be the values you obtain for a0 and a1? You should be able to select the right answer without actually implementing linear regression.