Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
After the course the student
*Understands the process dynamics and nonlinearities of typical chemical processes and coupling between physical phenomena
*Can model chemical processes and carry out model based analysis
*Can solve mechanistic process models using appropriate numerical techniques
Schedule: 08.09.2020 - 22.10.2020
Teacher in charge (valid 01.08.2020-31.07.2022): Ville Alopaeus
Teacher in charge (applies in this implementation): Ville Alopaeus, Kaj Jakobsson
Contact information for the course (valid 17.08.2020-21.12.2112):
Professor Ville Alopaeus, Ville.Alopaeus@aalto.fi
Teacher Kaj Jakobsson, Kaj.Jakobsson@aalto.fi
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Dynamical process modeling with material and energy balances
Effect of rate models (mass and heat transfer, reaction rates) on modeling
Specific topics in mass transfer: multicomponent mass transfer, non-conventional driving forces, population balances
Numerical methods to solve typical mechanistic models in chemical engineering including algebraic, ordinary and partial differential equations. Reactor and unsteady heat transfer modeling examples.
Implementation of the models and numerical methods using Matlab/Simulink
Homework assignment: Numeric Solving of differential equations; first principle modelling of process units
Applies in this implementation:
Assessment Methods and Criteria
Exercises at computer class
Independent study and exam
Lectures 16 h
Exercises 40 h
Home assignments 30 h
Pre-exam 15 h
Other independent study 33 h
Lecture notes, excercise material, hand-outs
Substitutes for Courses
KE-42.4520 Process Modelling - methods and tools L (5 cr) or KE-90.3100 Process Modelling and Simulation (6 cr)
Registration for Courses
Applies in this implementation:
modeling with material and energy balances
of rate models (mass and heat transfer, reaction rates) on modeling
topics in mass transfer: multicomponent mass transfer, non-conventional
driving forces, population balances
methods to solve typical mechanistic models in chemical engineering
including algebraic, ordinary and partial differential equations. Reactor
and unsteady heat transfer modeling examples.
of the models and numerical methods using Matlab
Workload (grading % of total points)
40 h (15 %)
assignments 30 h (30 %)
15 h (10 %)
independent study and final exam 33 h (45 %)
to the official course feedback, 1 extra point
Grading is built so that it corresponds to the
workload as well as possible. Workload related to the lectures and part of the
exercises are included in the final exam grade. Exercise grading shown in the
list refers to participation points (see description later). No specific
parts of the course are compulsory for passing, but 50 % of total points
are needed for passing and 85 % for the highest grade. If less than 5 % of the registered
students would get the highest grade, then the limits may be lowered.
If all the graded assignments are done during the same
year, they remain valid with the earned points. If you have finished only parts
of the course, e.g. have points only from pre-exam and exercises but wish to
continue next year with home assignments, earlier completed tasks may be
recognized upon agreement but only with reduced points.
will be held during the first two weeks of the course. There will be two exam
days, but you can participate only one of them. No need to register. The
second one will not be easier than the first one.
material: Lecture notes, chapters 2 and 3. In chapter 3, the examples are
covered only from mathematical model building point of view.
- For 2020 remote exams: all material is allowed,
but please note that there is only 45 min to complete! Exams will be
returned to MC Turnitin box.
Lectures will be held once a week.
There are typically small activating tasks during the lectures, so be prepared
with pen, paper and a calculator.
For each lecture, specific chapters
of the hand-outs are assigned. You are expected to read those parts before the
lecture in order to get most out of the lecture and exercises on the same week.
·Twice a week in the computer class. By actively participating
in the exercises, the student gets a point from each exercise; no returned
answers are expected. For 2020 remote exercises, a
small quiz is prepared for each exercise. Attendance points for each exercise
are given based on these quizzes. Quiz opens 15 min before exercise ends and
closes 15 min after the end. You should be able to respond to the questions if
you have actively participated to the exercise.
·If you cannot attend, you can get the point by
returning a report how you did the exercise (one page) and the answers before the exercise session. The report
must contain answers and a short written description. You should ask for any
help if needed. The idea is that you should get the same advice as during the
normal exercise. Workload for this alternative is expected to be higher than in
the corresponding normal exercise. This is only a substitute for normal exercise
sessions in special cases!
Answers will be uploaded to MC either at the end of
each session or immediately afterwards. You are expected to go through them and
ask for any clarifications irrespective of the way you are doing the exercise.
are two home assignments. Home assignment topics will be presented and
practiced during the computer exercise sessions before the assignment is
assignments are to be done in groups of 3 (maximum). Smaller groups are
possible as well.
- For the
first home assignment, there are two options: those who want only to get
familiar with Matlab, you can select an easier introductory version with
highest grade 3. For the others, the assignment goes deeper to the
application. You can also change from the easier to the full assignment
during the course, but you must agree on this with your assignment group.
post-graduate students or those very familiar with modeling and
programming, another option can be selected, where you do a single larger
home assignment alone. This should be related to your research work. This
option can be selected with a separate agreement only.
- The home
assignments will be graded separately
Although this is not a programming course, solution of
chemical engineering models are done with computer programs. Often it is
necessary to write simple programs describing chemistry of your particular
case. In this course, we use Matlab as a generic model-solving tool. If you do
not have any previous experience in programming, it is highly recommended that
you get familiar with the basics yourself in the beginning of the course. Some
introductory material is provided for you.
Based on lectures, exercises, and hand-outs.
Additional distributed supporting material (in MyCourses) could be included but
only if informed separately. Pre-exam material is included also in the final
There will be theory and (small) calculation
questions. Tools which are used on the course (Excel
and Matlab) may be needed in the remote exam, but not extensively.
Typically questions are related to short explanation of terminology,
formulation of a model, and explanation of brief computer program performance
· For 2020, all material is allowed. Exams are
returned to MC Turnitin -box
· Idea is not to memorize details, but to understand and
· For the first final exam date, some additional extra
feedback questions with extra points may be available
· If you have done other parts of the course in earlier
years, remember to mark that in your exam paper
· You are encouraged to propose an exam question (pre or
final). If you propose a very good question that will end up in the exam, you
may get additional point for the course and/or be able to answer to your own
question at the exam day.
SDG: Sustainable Development Goals
9 Industry, Innovation and Infrastructure