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
More infoEnergy Field SchoolCoreSE-801-ES1ECTS 6
More infoMSc ThesisCoreT-900-MEISECTS 30
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
More infoEnergy EconomicsCoreSE-805-EC1ECTS 6
More infoSpecial Topics in Energy IIIElectiveSE-806-STEECTS 6
More infoGeothermal Conceptual ModelingElectiveSE-814-GCMECTS 3
Year
1. yearPrint
SemesterFall 2024
Level of course5. Second cycle, intermediate
Type of courseElective
PrerequisitesNo prerequisites.
Schedule3-week intensive course
Lecturer
No lecturer found.
Content
An introduction to geological modelling. This 3 week course devotes the first week to learning the use of the software, in this case Leapfrog Geothermal, in order to build a 3D model of the geology and conceptual chemistry and physics of active geothermal systems. The advantage of using such software to conceptualize a system is that the result is consistent with all the input data from the system, and allows us to view . The second and third weeks of the course are spent in developing a case study conceptual model. This work will be in groups, and will consist of building a natural state conceptual model from real field data. The models will be presented to the class, and peer evaluation will be part of the final mark, with the remainder of the mark contributed by staff and other geothermal experts.
Learning outcome - Objectives
  • Review of essential data preparation and modelling concepts
  • Advanced model surface editing techniques
  • Presentation outputs of modelling software
  • Examine and understand a model uncertainty
Course assessment
Project presentation. Evaluation is conducted by peers, staff, and geothermal experts.
Reading material
No reading material found.
Teaching and learning activities
No activities found.
Language of instructionEnglish
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Vorönn/Spring 2025
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