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.
Application
EMI Department

Modul manual

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Energy Systems 2

Teaching methods Lecture/Excercise/Lab
Learning target / Competences

 

 
Duration 1
Hours per week 8.0
Overview
Classes 120
Individual / Group work: 120
Workload 240
ECTS 8.0
Requirements for awarding credit points

written exam, 180 minutes
Responsible person

Prof. Dr.-Ing. Andreas Schneider
Recommended semester 2
Frequency Annually (ss)
Usability

Master RED
Lectures

Energy Usage in Industrial Processes

Type Lecture/tutorial
Nr. M+V3048
Hours per week 4.0
Content

1. Energy conversion and energy storage in industry
2. Energy efficiency measures
3. Visualisation, monitoring, data acquisition and control of industrial processes
4. Energy efficiency in the context of regulations and standards (DIN EN ISO 50001, EN 16001, EN 15232, ...)

Exercises: Data analysis of monitoring data, energy balances of industrial plants.

 
Literature

Neugebauer (ed.): Handbuch Ressourcenorientierte Produktion. München: Carl Hanser Verlag, 2014.

 
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