Syllabus

LEARNING OUTCOMES

Credits: 5

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

Content

• Valid 01.08.2020-31.07.2022:

  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

• Valid 01.08.2020-31.07.2022:

  Pre-exam
  Lectures
  Exercises at computer class
  Home assignments
  Independent study and exam

Workload

• Valid 01.08.2020-31.07.2022:

  Lectures 16 h
  Exercises 40 h
  Home assignments 30 h
  Pre-exam 15 h
  Other independent study 33 h

DETAILS

Study Material

• Valid 01.08.2020-31.07.2022:

  Lecture notes, excercise material, hand-outs

Substitutes for Courses

• Valid 01.08.2020-31.07.2022:

  KE-42.4520 Process Modelling - methods and tools L (5 cr) or KE-90.3100 Process Modelling and Simulation (6 cr)

Registration for Courses

• Valid 01.08.2020-31.07.2022:

  Sisu

• Applies in this implementation:

   Contents
              

  • 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

  Workload (grading % of total points)

  • Lectures
    16 h
  • Exercises
    40 h (15 %)
  • Home
    assignments 30 h (30 %)
  • Pre-exam
    15 h        (10 %)
  • Other
    independent study and final exam 33 h (45 %)
  • Responding
    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.

  Pre-exam

  • Pre-exam
    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.
  • Pre-exam
    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

  ·      
  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.

  Exercises

  ·      
  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.

   Home
  assignments

  • There
    are two home assignments. Home assignment topics will be presented and
    practiced during the computer exercise sessions before the assignment is
    published.
  • Home
    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.
  • For
    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
   

  Tools

  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.

  Final exam

  ·      
  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
  exam.

  ·      
  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
  apply.

  · 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

Description

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