SingleView of Module
Module (6 Credits)
Electricity, Renewables and District Heating
- Name in diploma supplement
- Electricity, Renewables and District Heating
- Responsible
- Admission criteria
- See exam regulations.
- Workload
- 180 hours of student workload, in detail:
- Attendance: 45 hours
- Preparation, follow up: 75 hours
- Exam preparation: 60 hours
- Duration
- The module takes 1 semester(s).
- Qualification Targets
Students taking the course will
- be able to apply their knowledge of theory and methodology in exercises
- get familiar with modern concepts and methods for management in energy economics
- acquire an understanding of procedures for operational and strategic decision support in areas of electricity, district heating and renewable energy sectors
- deepen theory and methodology with case studies and numerical examples
- Relevance
A great deal of the presented knowledge and methods is used and required in business operations of energy companies. Aside from general competences on all stages of the value chain of electricity, particular emphasis is placed on the fields of energy trading and controlling.
- Module Exam
Written exam (generally 60-90 minutes).
- Usage in different degree programs
- Elements
Lecture (3 Credits)
Electricity, Renewables and District Heating
- Name in diploma supplement
- Electricity, Renewables and District Heating
- Organisational Unit
- Lecturers
- SPW
- 2
- Language
- English
- Cycle
- winter semester
- Participants at most
- no limit
- Preliminary knowledge
Basic knowledge in the field of energy economics (i. e. "Einführung in die Energiewirtschaft")
- Contents
- Subject and fundamental problems, research approaches including their meaning
- Management of power generation incl. renewables: Power plants as an essential resource, power plant scheduling, supply and sales markets, portfolio management for power generation
- Management of power transmission and distribution: Power-flow analysis, grid structure and operation, reserves, congestion management, grid usage – contract and billing principles, balancing, measurement and billing
- Perspectives for future electricity systems: power plant investment and long-term equilibria in power markets, consequences of increased electricity generation from renewable energies, congestion management and grid expansion, smart metering, prosumers
- Management of electricity supply and sales: key market segments, products and prices
- Management of district heat generation and distribution: Technical aspects, real world example, Management of cogeneration plants, operation, maintenance and expansion of district heat grids
- Literature
- Erdmann, G.; Zweifel, P.: Energieökonomik (2010): Theorie und Anwendungen; 2. (verbesserte) Auflage; Berlin.
- Löschel, A; Rübbelke, D; Ströbele, W.; Pfaffenberger, W.; Heuterkes, M.: Energiewirtschaft (2020): Einführung in Theorie und Politik; 4. Auflage; München.
- Schiffer, H.-W. (2019): Energiemarkt Deutschland; Köln.
- Weber, C. (2005): Uncertainty in the Electric Power Industry: Methods and Models for Decision Support; Berlin.
- Participants
Exercise (3 Credits)
Electricity, District Heating, Renewable Energy
- Name in diploma supplement
- Electricity, District Heating, Renewable Energy
- Organisational Unit
- Lecturers
- SPW
- 2
- Language
- English
- Cycle
- winter semester
- Participants at most
- no limit
- Preliminary knowledge
Basic knowledge in the field of energy economics (i.e. "Einführung in die Energiewirtschaft"), basic math skills
- Contents
Intensifying the theory and methodology with case studies and numerical examples. Repetition, discussion and application of lecture materials. For that purpose, excerpts from literature (models) are presented to the students and are discussed together. They are illustrated with the help of examples. Together with specific and current examples this serves to consolidate the theoretical knowledge and the applied skills. The exercises are partly done on a PC using MS Excel and the modeling language GAMS.
- Literature
See lecture
- Teaching concept
Parts of the modelling and applications are taught using computers.
- Participants