Course Energy Management Systems


Responsible: Prof.Dr. Schellong

Course

Meets requirements of following modules(MID)

Course Organization

Version
created 2011-10-14
VID 1
valid from WS 2012/13
valid to
Course identifiers
Long name Energy Management Systems
CID F07_EMS
CEID (exam identifier)

Contact hours per week (SWS)
Lecture 2
Exercise (unsplit) 2
Exercise (split)
Lab
Project 1
Seminar
Tutorial(voluntary) 2
Total contact hours
Lecture 30
Exercise (unsplit) 30
Exercise (split)
Lab
Project 15
Seminar
Tutorial (voluntary) 30
Max. capacity
Exercise (unsplit)
Exercise (split) 40
Lab 18
Project 18
Seminar 40

Total effort (hours): 150

Instruction language

  • German, 80%
  • English, 20%

Study Level

  • Undergraduate

Prerequisites

Textbooks, Recommended Reading

  • Pehnt: Energieeffizienz (Springer)
  • Zahoransky et al.: Energietechnik (Vieweg)
  • Schellong: Energy demand analysis and forecast (InTech)

Instructors

  • Prof.Dr. Schellong

Supporting Scientific Staff

Transcipt Entry

Energy management systems

Assessment

Type
oR oral report or presentation

Total effort [hours]
oR oral report or presentation

Frequency: 3/year


Course components

Lecture/Exercise

Objectives

Contents
  • energy economy
    • energy act
    • structure of the energy economy
    • energy efficiency and sustainability
  • energy systems
    • cogeneration
    • integration of renewables
    • cross integrated systems
    • virtual power plants
    • smart grid
  • energy controlling
    • energy data management
    • monitoring
    • efficiency indicators (controlling)
  • load forecast
    • load forecast models
    • regression analysis of the power and heat demand
    • neural networks
  • optimal scheduling for power plants
    • objectives
    • restrictions
    • optimization model
    • mathematical solution
  • energy management systems
    • functions
    • realisation
    • distributed management systems

Acquired Skills
  • energy systems analyze
  • management of energy data
  • construction of load forecast models

Additional Component Assessment

Type
fPS exercise (on course and self study)

Contribution to course grade
fPS not rated

Frequency: 1/Jahr

Project

Objectives

Acquired Skills
  • energy systems analyze
  • management of energy data
  • construction of load forecast models

Operational Competences
  • team work
  • project management

Additional Component Assessment

Type
oR oral report or presentation

Contribution to course grade

Frequency: 1/year

Topic-Revision: r3 - 11 Jan 2016, GeneratedContent
 
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