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Syllabus for

Academic year
KVM075 - Optimization with energy and environmental applications
 
Owner: KMAST
4,0 Credits (ECTS 6)
Grading: TH - Five, Four, Three, Not passed
Level: A
Department: 47 - ENERGY AND ENVIRONMENT


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0197 Examination 4,0 c Grading: TH   4,0 c   Contact examiner

In programs

TKMTA CHEMICAL ENGINEERING, Year 4 (elective)
TKEFA CHEMICAL ENGINEERING WITH ENGINEERING PHYSICS, Year 4 (elective)
TKMTL CHEMICAL ENGINEERING(FOR ENGINEERS WITH U.C.IN CHEMICAL ENG), Year 2 (elective)
KMAST MSc PROGR. IN ENVIRONMENTALLY SUSTAINABLE PROCESS TECHNOLOGY, Year 1 (elective)

Examiner:

Professor  Lennart Vamling



Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Aim

Since our resources (e.g fuels, clean water, capital) are limited, it is important to use them as efficiently as possible, in order to improve sustainability of a process. This means that optimization of single operations, as well as of systems of operations, is an essential part of the development of environmentally sustainable processes.
The aims of the course are:
* to provide insight into how typical chemical engineering optimization problems should be formulated so that they can be solved using numerical software.
* that students should learn how to formulate objective functions including investment, operating and environmental costs and to formulate constraints that are appropriate for the process in question.
* to give the theoretical background needed to choose appropriate numerical methods.
* to improve students understanding of how optimization algorithms function.
* to give an overview of appropriate algorithms and software

Content

The course is developed to be carried out in a computer studio environment. Consequently, the content is organized around a number of themes, without clear distinction between lectures and exercises.
The themes are:
* Introduction
* Formulation of optimization problems with examples from heat transfer and energy conservation.
* Introduction to optimization models and concepts.
* Optimality and methods for unconstrained optimization.
* Constrained optimization - theory.
* Constrained optimization - algorithms (including linear programming
* Methods to handle environmental costs
In addition, there are two projects concerning formulating and solving an optimization problem using available numerical software, e.g. MATLAB.

Literature

Edgar T.F., Himmelblau D.M. and L.S. Lasdon, "Optimization of chemical processes", 2nd ed., McGrawHill 2001
Lecture Notes

Examination

Written or oral examination. Completed and approved projects.


Page manager Published: Thu 03 Nov 2022.