Power and Data Engineering (PDE)

Renewable Energy Systems

Teaching Methods Lecture
Learning objectives / competencies

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
Classes 60
Self-study / 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)

Master PDE


Renewable Energy Systems

Type Vorlesung
Nr. EMI2238
SWS 2.0
Lecture Content

1. Overview of renewable energy conversion technologies, their physical principles and techno-economic potentials
2. Solar resource: properties, measurement, variability, forecasting
3. Solar cells: Basic principle and different technologies
4. Solar plants: Main concepts, Planning & grid integration, modeling and evaluation of plant performance, site assessments
5. Wind resource: properties, measurement, variability, forecasting
6. Wind power: Basic principle
7. Wind power plants: Planning & grid integration, modeling and evaluation of plant performance, site assessments
8. Basic grid integration aspects of solar and wind power (microgrids and power grids)
9. Lab work on operation of solar plants and wind power plants and their simulation via software



Kleissl, Jan (2013): Solar energy forecasting and resource assessments. Oxford, Waltham: Academic Press, Elsevier.
Manwell, J. F.; McGowan, J. G.; Rogers, Anthony L. (2009): Wind energy explained. Theory, design and application. 2nd ed. Chichester, U.K.: Wiley.
Planning and installing photovoltaic systems. A guide for installers, architects and engineers (2012). 3rd ed. London: Earthscan.


Lab Renewable Energy Systems

Type Labor
Nr. EMI2239
SWS 2.0
Lecture Content

1. Lab work on the operation of solar power plants
2. Lab work on the operation of wind power plants
3. Simulation of wind power plants, solar power plants, and microgrids on the basis of industry-relevant software
4. Presentation of practical work in form of written scientific reports



Mermoud, A. "Pvsyst: Software for the study and simulation of photovoltaic systems." ISE, University of Geneva, www. pvsyst. com (2012).