Gäller från och med: Spring 2018
Beslutad av: Margareta Sandahl
Datum för fastställande: 2018-04-25
Avdelning: Chemical Engineering
Kurstyp: Ren forskarutbildningskurs
Undervisningsspråk: English
Provide insight into how process engineering optimization problems are formulated and what solution methods can be used and the behaviour of the methods.
Kunskap och förståelse
För godkänd kurs skall doktoranden be able to classify various optimization problems as well as explain which types of solution methods can be used.
Färdighet och förmåga
För godkänd kurs skall doktoranden use and compare basic methods of optimization theory to solve process engineering optimization problems, especially those methods available in common computing tools such as MATLAB and Python.
Värderingsförmåga och förhållningssätt
För godkänd kurs skall doktoranden understand and reflect on how an optimization problem can be reformulated to another and show a deep insight into how optimization techniques can be used successfully in process engineering.
Optimization is a fundamental tool in all process engineering development, design and research. Optimization is called the process of developing as good a solution as possible based on a target function. This course is focused on two parts: 1) The requirements for correctly formulated optimization problems and the understanding of the characteristics of corresponding solution methods, 2) The technique and the ability to formulate and reformulate process engineering problems to optimization problems and solve them.
Dutta, D.: Optimization in Chemical Engineering. Cambridge, 2016.
Undervisningsformer: Föreläsningar, seminarier, övningar, projekt
Examinationsform: Inlämningsuppgifter
Betygsskala: Underkänd, godkänd
Examinator:
Förkunskapskrav: Basic courses in transport phenomena, reaction and separation engineering or corresponding courses
Förutsatta förkunskaper: KETN01 Process Simulation
Kursansvariga: