Simulate / Steady State
It is a well-known fact that a process simulation is a proven tool and when applied correctly, helps to solve process problems and boosts the quality and efficiency of systems and operations. A successful simulation project is one that delivers useful information or a result at the appropriate time to support a meaningful decision or a task.
Thermodynamic basics for process modeling Basic guidance to help you avoid problems caused by selection of wrong thermodynamic model
When developing a process model using any process simulator, one of the first steps for a user is to select the proper thermodynamic system. The choice of a thermodynamics will have a significant impact on the results of the model, such as accuracy, calculation complexity and abilities of convergence. These are all reasons why this step should be done with attention and taking into account characteristics of the system that is modelled. This article is sharing with you basic guidance to help you simplify this step and select the proper thermodynamic system.
Process simulation as the key discipline of chemical engineering Application of process simulation in disciplines of chemical processing
Process simulation is today applied in almost all disciplines of chemical engineering and engineering in general and for any process engineer is important to understand at least the basics. It is the inevitable part of process design, research and development, production planning, optimization, training and education to the decision-making process which makes it one of the most important disciplines of engineering.
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What does the term of „mathematical model“ represent in chemical engineering and engineering in general? A broad definition of a model is - „a virtual version of reality“, which means that any of us can observe it differently. For this reason, every model must be accompanied with clearly defined assumptions and goals.
A good model should reflect the important factors affecting a process and must not be crowded with minor, secondary factors that will complicate the mathematical analysis and might render the investigation.