Operations Research in Energy Economics

Teaching methods Lecture
Learning target

Qualitative and quantitative methods of management science/Operational Research are gaining ever higher importance in the energy sector e.g. optimization problems play a prominent role in energy economics, considering for example development of power plant fleets, development of grids and the usage of power plants. Students learn about the background of forecasting methods and optimization as mathematical tool for analysing power systems. They are able to formulate mathematical models and to apply optimization methods, e.g. linear programming.
Within module ECM-02 the students also apply the knowledge and competencies gained in economics and business strategy gained so far. Within required elective courses the students deepen and expand their capabilities when implementing a revised business strategy and experience the impact on an enterprise as a whole or when analysing and further developing energy management solutions in industry.

Duration 1 Semester
Hours per week 4.0
  • Classes:60 h
  • Individual/
    Group work:60 h

  • Workload:120 h
ECTS 4.0
Requirements for awarding credit points

written exam (90 minutes)

Responsible person


Max. participants 25
Recommended semester ECM 3
Frequency Annually (ws)
Lectures Operations Research in der Energiewirtschaft
Type Lecture
Nr. M+V3038
Hours per week 4.0
Lecture contents

1. System analysis in Energy Economics (data acquisition and data
refinement, data representation, regression techniques)
2. Optimization problems in Energy Economics (types of problems; e.g.
development of power plant fleet; resource planning)
3. Approaches to develop models for optimization problems in energy
4. Application of selected computational optimization techniques


KONSTANTIN, P.: Praxisbuch Energiewirtschaft - Energieumwandlung, -transport und -beschaffung im liberalisierten Markt. 2. Auflage, Berlin :
Springer, 2009.
RUDOLPH, M., WAGNER, U.: Energieanwendungstechnik. Wege und
Techniken zur effizienteren Energienutzung. Berlin : Springer, 2008.
SUHL, L., MELLOULI, T.: Optimierungssysteme : Modelle, Verfahren,
Software, Anwendungen. 2. Auflage, Berlin : Springer, 2009.

← Back Save as Docx