373.011 energy modelling and analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019S, VU, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise

Aim of course

The students should be qualified to understand the basic principles of modeling in energy economics and to apply them to simple problems. Following an introductory overview of modeling in energy economics, this course focuses on two main topics: (i) econometrics and (ii) optimization

Attention: An introduction into several lectures at EEG takes place on 4th March 2019 (10 am) at EI2!

Subject of course

04.03.2019 (Haas): Introduction, modeling objectives, overview of model types

11.03.2019 (Auer): Overview - objective functions, solution approaches, modeling of energy policy instruments, scenario building

18.03.2019 (Haas): Introduction to econometrics, econometric demand models

25.03.2019 (Haas / Perger): Continuation - econometric demand models (cross-sectional / time-series analyzes), exercise 1

01.04.2019 (Perger): Linear optimization: theory and introduction to source-code development (Matlab)

08.04.2019 (Perger): Continuation - source-code development (Matlab) incl. LP/MILP example in energy economics, exercise 2

29.04.2019 (Auer): Dual / primal optimization model

06.05.2019 (Fleischhacker): Another example in energy economics: power plant dispatch (incl. consideration of duality), exercise 3

13.05.2019 (Auer): Nonlinear optimization

20.05.2019 (Auer): Dynamic optimization

27.05.2019 (Auer): Selected examples in energy economics - nonlinear and dynamic optimization, exercise 4

03.06.2019 (Auer): Application of dynamic optimization - theory of optimal resource depletion (fossil, renewable)

17.06.2019 (Perger / Auer): Discussion of exercises

24.06.2019 (Perger): written exam

Additional information

Attention: An introduction into several lectures at EEG takes place on 4th March 2019 (10 am) at EI2!

The first unit of this course starts immediately after the introduction into several lectures at EEG!

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon10:00 - 13:0004.03.2019 - 24.06.2019EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon10:00 - 13:0004.03.2019EI 2 Pichelmayer HS - RPL Vorbesprechung
Mon13:00 - 14:0003.06.2019EI 3 Sahulka HS - RPL VO
energy modelling and analysis - Single appointments
DayDateTimeLocationDescription
Mon04.03.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon04.03.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Vorbesprechung
Mon11.03.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon18.03.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon25.03.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon01.04.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon08.04.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon29.04.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon06.05.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon13.05.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon20.05.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon27.05.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon03.06.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon03.06.201913:00 - 14:00EI 3 Sahulka HS - RPL VO
Mon17.06.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger
Mon24.06.201910:00 - 13:00EI 2 Pichelmayer HS - RPL Auer, Haas, Perger

Examination modalities

The overall grade (100% of the total achievable points) consists of 2 parts:

50% of the total points can be achieved from the 4 exercises that have to be worked out and delivered during this course. The number of points per exercise can vary and will be announced at the presentation of the exercises.

50% of the total points can be achieved in the written exam at the end of the semester. This written exam consists of 5 questions (10% each), the vast majority of these questions being simple (arithmetical) examples, using the basic principles of econometrics and optimization.

IMPORTANT:

BOTH in the exercises AND in the written exam, HALF of the number of possible points must be achived in order to get a POSITIVE overall grade of this course. It is not enough to achieve a total of more than 50% of the possible total points of this course, but less than 25% in one of the two parts.

In this course great emphasis is put on understanding the basic principles in modeling in general and in econometrics and optimization in particular.

In the written exam, a non-programmable calculator is allowed, but not mandatory. The (arithmetic) examples are designed in such a way that the determination of extensive quantitative results is not in the foreground. Rounding of results is allowed / desired.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri - 01.10.2021written01.09.2021 00:00 - 29.09.2021 23:59TISSSchriftliche Prüfung (Abgabe einer Homework)

Course registration

Begin End Deregistration end
18.02.2019 00:00 08.03.2019 00:00

Group Registration

GroupRegistration FromTo
Gruppe 124.02.2019 00:0021.03.2019 18:00
Gruppe 224.02.2019 00:0021.03.2019 18:00
Gruppe 324.02.2019 00:0021.03.2019 18:00
Gruppe 424.02.2019 00:0021.03.2019 18:00
Gruppe 524.02.2019 00:0021.03.2019 18:00
Gruppe 624.02.2019 00:0021.03.2019 18:00
Gruppe 724.02.2019 00:0021.03.2019 18:00
Gruppe 824.02.2019 00:0021.03.2019 18:00
Gruppe 924.02.2019 00:0021.03.2019 18:00
Gruppe 1024.02.2019 00:0021.03.2019 18:00
Gruppe 1124.02.2019 00:0021.03.2019 18:00
Gruppe 1224.02.2019 00:0021.03.2019 18:00
Gruppe 1324.02.2019 00:0021.03.2019 18:00
Gruppe 1424.02.2019 00:0021.03.2019 18:00
Gruppe 1524.02.2019 00:0021.03.2019 18:00

Curricula

Study CodeSemesterPrecon.Info
066 435 Power Engineering 2. Semester
066 506 Energy Systems and Automation Technology 2. Semester
066 507 Telecommunications 2. Semester

Literature

The following documents are available for download on TUWEL:

- Script: Energy modeling and analyzes

- ppt slide set per lecture/unit

- Several necessary documents in the context of the exercises (research questions, MATLAB files, submission)

Previous knowledge

- In general, no special knowledge is required

- Analytical thinking and willingness to learn autonomous source-code development in MATLAB must be present

- There should be interest in interdependences in energy economics

- Physical attendance in this course is HIGHLY (!) recommended; not least to better understand the theoretical background/methodologies and to avoid misunderstandings in the excercise tasks and delivery rountines

Language

German