We ask Russ:
How does one Test Dynamic Models?
Russ' Response:
Test means to review the model predictions (output values) with both data and logical expectations. If your model outputs adequately match the process data and expectations over a wide range of operating conditions, then you
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We ask Russ:
How does one develop First-Principles Dynamic Models numerically?
Russ' Response:
Here are eight steps in developing a dynamic model. Details and examples can be accessed under the Modeling/Simulation menu on my web site, www.r3eda.com.
- Inventory - Decide the inventory that ...
We ask Russ:
What are the pros for first-principles models?
Russ' Response:
Earlier I shared that I typically classify models as empirical or phenomenological.
In phenomenological models, the mathematical functions are grounded in a mechanistic relation. These models could be termed rigoro
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We ask Russ:
What are the pros for empirical models?
Russ' Response:
I would broadly classify models as empirical or phenomenological.
Empirical models are developed by matching flexible mathematical functions to data. The functions might be neural networks, or classic statistical power
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We ask Russ:
Why use phenomenological models based on first principles over data-based modeling options?
Russ' Response:
I would broadly classify models as empirical or phenomenological.
Empirical models are developed by matching flexible mathematical functions to data. The functions migh
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We ask Russ:
What are some of the benefits of dynamic simulation over steady state simulation?
Russ' Response:
Traditionally, process design uses steady state (SS) simulation, and it serves its purpose well. Most analysis of processes and textbook instruction on how processes work use SS r
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