myAriel

The aim of the course is to give students all the possible tools to be able to evaluate the type of reactor that is best for the chemical process being studied. Process optimization and basic cost evaluation will be taken into account.

The students will undertake numerical calculations solved either manually or with computational tools, to solve practically relevant examples.

The students should be able to solve practical examples and exercises either manually or through computationally implemented scripts on the following topics:

-        Ideal batch reactor

-        Ideal Plug flow continuous reactor

-        Ideal Continuously stirred tank reactor

-        Non ideal mixing

-        Non ideal heat transfer

-        Advanced chemical kinetics

-        Mass and energy balances on single equipment and sections of the plant.

test

This course provides a comprehensive introduction to the principles and methods of Design of Experiments (DOE). DOE is a powerful statistical methodology used to systematically plan experiments, analyze data, and optimize processes across a wide range of disciplines, including chemistry, engineering, manufacturing, and research. Students will learn how to design experiments to efficiently identify important factors, determine optimal settings, and build predictive models. The course emphasizes both theoretical understanding and practical application, with hands-on exercises and case studies using statistical software R.