course-details-portlet

TKP4135 - Chemical Process System Engineering

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours E

Course content

This course gives a general background on problems, methods, and tools for process systems engineering.

Theme 1: Process modelling - the basis of computational engineering: Review of the systematic construction of steady state and dynamic models for physical-chemical-biological processes.

Theme 2: Basics of numerical solution algorithms for process models. Rootfinding and integration of ordinary differential equations. Differential-algebraic equation formulations and solution methods. Analysis of such process models.

Theme 3: Using state of the art tools in python to solve complex mathematical problems from Process Systems Engineering.

Theme 4: Introduction to optimization for parameter estimation. Model discrimination.

Theme 5: Data-driven models - linear static models and brief outlook on neural networks.

Learning outcome

At the end of the course, the students will know how to establish simple and large-scale process models, and how to perform analysis of these models.

The student will further have knowledge of the working principles of the most common numerical simulation algorithms, and be able to implement basic versions of them in a programming language (e.g. python).

The student will know how to use state-of-the-art python tools to solve important problems from Process Systems Engineering.

Finally, the student will be able to understand and apply tools for adjusting model parameters to experimental data, and have basic knowledge of data-driven models such linear static models and neural networks.

Learning methods and activities

Lectures and exercises.

Compulsory assignments

  • Exercises

Further on evaluation

Written exam.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Course materials

Lecture slides and handouts.

Credit reductions

Course code Reduction From To
SIK2047 7.5 AUTUMN 2007
TKP4135 7.5 AUTUMN 2007
KP8901 7.5 AUTUMN 2010
More on the course

No

Facts

Version: 2
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator:

Department with academic responsibility
Department of Chemical Engineering

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 E INSPERA
Room Building Number of candidates
Summer UTS School exam 100/100 E INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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