Moses - Energy Economics - Energy Sector Modeling (EW-MOD)

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Module / Version:
#70129 / #5

Validity:
SS 2019 - WiSe 2020/21

Default display language:
English

Module title:
Energy Economics - Energy Sector Modeling (EW-MOD) (Energy Economics - Energy Sector Modeling)

Credits:
6

Responsible person:
Hirschhausen, Christian

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät VII

Institute:
Institut für Volkswirtschaftslehre und Wirtschaftsrecht

Area of expertise:
37311500 FG Volkswirtschaftlehre, insb. Wirtschafts- und Infrastrukturpolitik

Prüfungsausschuss:
Volkswirtschaftslehre

Kontakt

Office:
H 33

Contact person:
Weyhing, Christoph

E-mail address:
orim@wip.tu-berlin.de

Website:

http://www.wip.tu-berlin.de

Learning Outcomes

The students study the basic principles of the energy sector in the current context of restructuring towards a low-carbon energy supply and its common challenges. Students learn to apply the common academic methodology in energy economics, techno-economic analysis using numerical optimization in sample cases during the course and in a final project. Regular homework assignments require the students to work through academic research papers and train self-study. The students learn the basic principles of open science, specifically creating reproducable work using open source tools, open data and open results.

Content

The module covers issues relating to the design of electricity markets with a high proportion of power generation using renewables. It also examines network-related fields and their interplay with regional generation and demand. Following a general introduction to the electricity sector, various special features of electricity as a good and their impact on the functioning of the electricity sector are derived analytically. In this context, the module examines the short-term pricing of a range of energy market products and necessary long-term incentives for system adequacy. The main methodology used is numerical modeling. The course teaches the open source programming language Julia and the use of open data platforms like the Open Power System Data (OPSD) platform.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Energy Economics - Energy Sector Modeling	IV	71 150 L 9432	SoSe	English	4

Workload and Credit Points

Energy Economics - Energy Sector Modeling (IV):

Workload description	Multiplier	Hours	Total
			90.0h(~3 LP)
Class attendance	15.0	4.0h	60.0h
Class preparation and follow-up	15.0	2.0h	30.0h

Course-independent workload:

Workload description	Multiplier	Hours	Total
			90.0h(~3 LP)
Preparation of assignments	5.0	6.0h	30.0h
Preparation of paper and presentation	1.0	60.0h	60.0h

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Integrated classroom learning

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Knowledge in the area of Operations Research

Mandatory requirements for the module test application:

No information

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 points in total

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Assignments	50	written	5 assignments
Group presentation	10	oral	20 min.
Term paper	40	written	max. 20 p.

Grading scale

1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
90.0	85.0	80.0	76.0	72.0	67.0	63.0	59.0	54.0	50.0

Test description (Module completion)

The portfolio examination consists of the following elements, adding up to a maximum of 100 credits. The grading follows the joint conversion key of the School of Economics and Management (decision of the school's council dated May 28, 2014 - FKR VII-4/8-28.05.2014).

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:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Via email to ew@wip.tu-berlin.de

Recommended literature
Kirschen, Daniel and Strbac, Goran (2004): Fundamentals of Power System Economics
Stoft, Steven (2002): Power System Economics

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

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

Miscellaneous