M. Sc. Renewable Energy and Data Engineering

Study conventional and renewable energy systems, smart grids and the underlying algorithms as well as energy efficiency measures.

Modul manual

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Renewable Energy Systems

Teaching methods Lecture
Learning target / Competences

The students have a general knowledge on the manifold technologies of generating electricity from renewable energy sources and understand their basic principles as well as their technical and economic potentials.

The students understand the basics of energy meteorology, in particular the spatial and temporal variability of solar and wind resources and the resulting challenges for grid integration, and can conduct basic site assessments.

The students have a detailed knowledge on the technology of photovoltaic (PV) and wind power plants. They know the manifold technical realization concepts and evaluate their utility for concrete sites and applications. The students are able to model the physical and economic behavior of PV and wind power plants in operation within a power grid or microgrid. They can apply industry-relevant simulation software. They know how to measure and evaluate the performance of these plants under normal conditions and to identify different failure modes.

Students learn to analyze data, to deduce conclusions and to evaluate them critically. They learn to present the methods and findings of their work in a scientific manner (scientific working and writing). They learn to work in teams.

 

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

written exam 60 minutes,
lab experiments & reports

Responsible person

Prof. Dr. rer. nat. Michael Schmidt

Frequency Annually (ss)
Usability

Master PDE

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