M. Sc. Renewable Energy and Data Engineering

Studieren Sie konventionelle und erneuerbare Energiesysteme, intelligente Stromnetze und die zugrundeliegenden Algorithmen sowie Energieeffizienzmaßnahmen.

Modulhandbuch

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Energy Economics

Prerequisite

 

 

Teaching methods Lecture
Learning target / Competences

The students know and apply the common terminology in the energy sector. They know and understand the structure of an energy sector by example of Germany and are able to access systematically the structures of other energy markets. The students know how to access data in the energy sector; they are acquainted to statistical methods allowing critical analysis of data.

The students got the background to judge the impact of actual developments in industry, politics, legacy etc. on the energy sector.

The students know how to gain information and data required for techno-economic analyses of energy projects. They are able to perform cost calculation and investment appraisal studies. By applying computer tools they are able to perform extensive sensitivity analyses.   

 

 

Duration 1
Hours per week 4.0
Overview
Classes 60
Individual / Group work: 60
Workload 120
ECTS 4.0
Requirements for awarding credit points

written exam 90 minutes

Credits and grades

4 credit points

Responsible person

Prof. Dr.-Ing. Grit Köhler

Frequency Annually (ws)
Usability

Master PDE

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