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#30851 / #2

WS 2019/20 - WiSe 2021/22

English

Energy Systems Modeling

3

Luderer, Gunnar Godwin

benotet

Referat

Zugehörigkeit


Fakultät III

Institut für Energietechnik

33371400 FG Digitaler Wandel in Energiesystemen

MSc Regenerative Energiesysteme

Kontakt


No information

Reinhardt, Nicole

luderer@tu-berlin.de

Learning Outcomes

By the end of the course successful students will have • Acquired a basic understanding of the functioning of energy system models; • Built up their own simple energy systems model; • Applied the model to a specific use case, e.g. CO2 emission reductions; • Analyzed model results; • Learned to interpret the results of energy models and acknowledge limitations

Content

The integrated course will consist of lecture elements, hands-on numerical modeling of energy systems and the presentation of modeling results to the class. 1. Introduction to the role of energy modeling and types of energy models; 2. Basic concepts: Resource endowments, energy balance equations, conversion technologies, energy demand, environmental impacts; 3. Optimization problems; 4. Hands-on programming a. Build up simple energy systems model from scratch b. Analysis of model results c. Extensions tailored to a specific application 5. Presentation of results

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Energy Systems ModelingIV3300 L 10632WiSeEnglish2

Workload and Credit Points

Energy Systems Modeling (IV):

Workload descriptionMultiplierHoursTotal
Preparation1.020.0h20.0h
Attending classes1.030.0h30.0h
Exercises, model application and presentation of results1.030.0h30.0h
80.0h(~3 LP)
The Workload of the module sums up to 80.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Lecture: Based on the theoretical foundations of energy systems analysis and operations research. Numerical Modeling: Students will develop their own small energy systems model. This will be based on the open source modeling system OSeMOSYS (http://www.osemosys.org/) or a much simplified version of the REMIND energy systems model (https://www.pik-potsdam.de/research/transformation-pathways/models/remind)

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

The lecture addresses masters students and graduate students with a background in engineering, natural science or economy. Basic experience in programming is essential. Further, Students should have basic knowledge of and interest in energy systems. No further formal requirements.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Presentation

Language

German/English

Duration/Extent

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 15.

Registration Procedures

Registration via email to Nicole Reinhardt (nicole.reinhardt@pik-potsdam.de) until 31 December 2020.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs

This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

The class will be held as a 1-week block course ("integrierte Veranstaltung") from 8 - 12 March 2021.