Department of Engineering
Dean:Dr. Ármann Gylfason
Email:ru@ru.is
Website:http://www.ru.is/tvd
TeachersView
MSc in Sustainable Energy Science - Iceland School of Energy
Semesters:4
Years:2
ETCS:120
About majorMSc í orkuvísindum er nám hannað fyrir nemendur með ólíkan bakgrunn, t.d. viðskiptafræði, raunvísindi eða félagsvísindi sem hafa áhuga á að skilja samspil tækni, hagfræði og stefnumótunar á sviði endurnýjanlegrar orku.
Learning OutcomesView
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Mandatory course on majorTeaching language
Optional course on majorPrerequisites for course
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Sumar/Summer 2024
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More infoExchange StudiesElectiveX-699-EXCHECTS 30
Haustönn/Fall 2024
More infoSpecial Topics in Energy IElectiveSE-801-STEECTS 1
More infoEnergy TechnologyCoreSE-802-ET1ECTS 6
More infoEnergy GeologyElectiveSE-803-GE1ECTS 3
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More infoEnergy Markets and RegulationsElectiveSE-850-EMRECTS 3
More infoManaging Research and Development - Methods and ModelsElectiveT-814-PRODECTS 8
More infoNumerical fluid flow and heat transferElectiveT-864-NUFFECTS 8
Year
1. yearPrint
SemesterFall 2024
Level of course5. Second cycle, intermediate
Type of courseElective
PrerequisitesT-301-MATH, Mathematics III
T-507-VARM, Thermodynamics
T-536-RENN, Fluid Dynamics
T-606-HEAT, Heat Transfer
ScheduleTaught for 12 weeks.
Lecturer
Yonatan Afework Tesfahunegn
Content
Level of course: 3. Undergraduate (First cycle), advanced / 4.-5. Graduate (Second cycle), introductory-intermediate.
Type of course: Core in MSc Mechanical Engineering, elective for other programmes.
Prerequisites (mandatory): Mathematics III T-301-MATH; Thermodynamics T-507-VARM; Fluid Dynamics T-536-RENN, T-606-HEAT Heat Transfer (may be taken parallelly).The main purpose of this course is to introduce the basic principles of computational fluid dynamics (CFD) for analyzing fluid flows and heat transfer. Hands on exercises are used to study the basic theory of CFD through programming and using existing commercial and open source CFD codes. Finite difference and finite volume techniques are emphasized.Reading material: Essential computational fluid dynamics, Zikanov Oleg, 2010.
Learning outcome - Objectives
Knowledge: After completing this course the students will have knowledge on:
•    Mathematical modeling
•    Classification of basic equations of fluid dynamics
•    Discretization methods
•    Stability and accuracy analysis
•    Solution methodsSkills: After completion of this course the students will have skills on:
•     Practical use and programming of numerical methods in fluid dynamics
•    Setting up a given problem using commercial and open source CFD codes
•    Generating computation grids
•    Choosing appropriate boundary conditions for model problems
•    Interpreting the results criticallyCompetence: After completion of this course, the students will have competence on:
•    Numerical solution of model problems in fluid dynamics and heat transfer
•    Checking and assessing basic numerical methods for fluid flow and heat transfer problems
Course assessment
Assessment is based on: Programming assignments and homework, Programming project; Grid generation assignments; CFD code assignments ; CFD code projects ; Quiz.
Reading material
No reading material found.
Teaching and learning activities

Language of instructionEnglish
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