Examination arrangement

Course content

The Specialization course consists of two modules of 3.75 sp to make a total of 7.5 sp. The electable modules are:

- Spectral methods (3.75 stp): The subject includes an extensive theoretical introduction to numerical methods that are used to solve reactor models in which details in the description of flow phenomena are especially important. The methods that are considered are spectral and spectral element methods like the orthogonal collocation. The methods swill be applied solving relatively simple model equations through exercises and projects. Solid experience in programming/matlab is required prerequisite.

- Gas cleaning (3.75 sp): Processes for the removal CO2 and H2S as well as removal of CO2 and SO2 from exhaust gas. An overall assessment of climate challenges will be discussed in light of international agreements. Other pollutants like NOx and VOC will be discussed. Purification processes for SO2 from industry and exhaust gases. Gas purification with absorption membranes including fundamental mechanisms and material technology.

- Membrane separation (3.75 sp): : The course will give introduction to basic material technology and membrane separation of liquid and gas streams. Specific topics are transport mechanisms, the material properties, how the membranes are produced, types of modules and applications both for gases and liquids, Phenomena like concentration polarization and fouling will also be discussed and how to reduce these effects. Characterization of the membrane materials.

- Crystallization and particle design (3.75 sp): General crystallization theory: Thermodynamic considerations for definition of supersaturation. Lattice structure and polymorphism. Nucleation, crystal growth mechanisms and agglomeration. Introduction to the population balance. Experimental techniques to determine particle size distributions and crystal morphology. Experimnetal strategies to determine nucleation and growth rate kinetics and mechanisms. Special condiations related to the production of nanoparticles and material development by biomineralization.

- Mathematical modeling and model fitting (3.75 sp): In all areas of engineering and science, there is a need to construct models and fit unknown model parameters to experimental data. This is a practical course and you will learn how to verify if the fitted model is adequate or not, how to calculate confidence intervals of estimated parameters and responses. Topics that will be covered include linear regression with single and multiple responses, ANOVA, lack of fit tests and more. Programming languages are Matlab and/or Python.

- Biorefining and Biomaterials (3,75 stp)

Learning outcome

At the end of the course the students should:
- Specialization in crystallization theory and characterization techniques to dimension crystallizers and analyze industrial applications for separation performance, removal of impurities by precipitation and scaling on process equipment as well as to understand the conditions that govern the size and shape of nanoparticles and the mechanism involved in biomineralization.
- After fulfillment of this course the students should be able to evaluate which type of membrane materials are best suited for separation of various gases and liquids in processes.
- After fulfilment of this course the students should be able to design a process for the most relevant gas cleaning techniques.
- The students should be able to develop models for different types of chemical reactors, solve the resulting set of equations, analyze data, and calculate the performance of laboratory- and industrial scale reactors.
- Collecting understanding and assessing peer-reviewed literature.
- Report writing and presentation techniques.

Learning methods and activities

Expected workload per week is twelve hours. The modules are given as lectures, seminars, problem sessions, group- or individual studies.

Further on evaluation

Information about the exam in the modules will be given at the beginning of the semester.

Specific conditions

Recommended previous knowledge

Basic knowledge in Chemical Process Technology.

Course materials

Given at course start.

Credit reductions