370.062 Open Source Energy System Modeling
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2020S, VU, 2.0h, 3.0EC

Merkmale

  • Semesterwochenstunden: 2.0
  • ECTS: 3.0
  • Typ: VU Vorlesung mit Übung

Lernergebnisse

Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage...

Note, this course is in English only!

After successful completion of the course, students are able to understand the benefits of open source software/data, how to use open source tools and licenses, and are able to work with the IAMC (integrated-assessment community) data format to develop energy system models.

 

Inhalt der Lehrveranstaltung

Publicly available course material

Creative Commons CC-BY 4.0

The lecture slides will be made available on data.ene.iiasa.ac.at/teaching/ under a Creative Commons CC-BY 4.0 International License.

Lecture 1

We will discuss the principles of open-source and collaborative scientific programming for energy modelling. Concepts include version control using GitHub, the principles of code review, unit tests and continuous integration.

Lecture 2

Integrated assessment models are a key tool for developing narratives and quantifying pathways to understand system transitions and impacts of policy measures. We will discuss different model types which can be used in this area, and we will review the role of numerical modelling of human and earth systems for policy-makers in the context of the IPCC reports and other global outlooks.

Lecture 3

We will use the pyam package, a Python package for visualizing and analyzing integrated assessment scenarios, for understanding climate change mitigation pathways used in the IPCC Special Report on Global Warming of 1.5°C (SR15).

Lecture 4

We will turn to developing a national-scale energy system model using the open-source MESSAGEix Integrated Assessment Modeling Framework. After working through an example, students will implement a stylized model for another country and analyze different climate change mitigation policies.

Lecture 5

We will discuss how to extend the stylized national energy system model developed in lecture 4 into an integrated assessment model by including land use and agriculture, water use, and other aspects of sustainable development.

Methoden

  • Using Jupyter notebooks and the pyam package for scenario analysis
  • Using the open-source MESSAGEix energy modelling framework

Prüfungsmodus

Schriftlich und Mündlich

Weitere Informationen

Attention: An introduction into several lectures at EEG takes place on 2nd March 2020 (10 am) at EI2!

Start of this lecture (blocked): Tuesday, 26.03.2019, 14:00-17:00 (Lecture Hall: Dekanatszimmer CFZ217, GH 25, Stg. 7, intermediate floor between 2nd and 3rd floor)

Schedule of Lectures (several of them in Lecture Hall: Dekanatszimmer CFZ217, GH 25, Stg. 7, intermediate floor between 2nd and 3rd floor):

  • Tuesday, 26 March 2019, 14:00-17:00
  • Tuesday, 9 April 2019, 14:00-17:00
  • Tuesday, 30 April 2019, 14:00-17:00
  • Tuesday, 14 May 2019, 14:00-17:00
  • Tuesday, 28 May 2019, 14:00-17:00
  • Tuesday, 4 June 2019, 14:00-17:00 oral exam (oral exam possible also upon individual appointment)

Vortragende

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Mo.10:00 - 11:0002.03.2020EI 2 Pichelmayer HS Vorbesprechung
Di.14:00 - 17:0024.03.2020 - 26.05.2020 Dekanatszimmer CFZ217Lecture 1-5
Open Source Energy System Modeling - Einzeltermine
TagDatumZeitOrtBeschreibung
Mo.02.03.202010:00 - 11:00EI 2 Pichelmayer HS Vorbesprechung
Di.24.03.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5
Di.31.03.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5
Di.21.04.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5
Di.28.04.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5
Di.05.05.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5
Di.12.05.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5
Di.19.05.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5
Di.26.05.202014:00 - 17:00 Dekanatszimmer CFZ217Lecture 1-5

Leistungsnachweis

Grade:

  • Submitted assignments (50%)
  • Written and oral exam (30%)
  • Active participation in class (20%)

Prüfungen

TagZeitDatumOrtPrüfungsmodusAnmeldefristAnmeldungPrüfung
Di. - 02.06.2020schrift.&mündl.24.03.2020 00:00 - 01.06.2020 00:00in TISSPrüfung

LVA-Anmeldung

Von Bis Abmeldung bis
24.02.2020 00:00 09.06.2020 23:00

Curricula

StudienkennzahlSemesterAnm.Bed.Info
710 FW Freie Wahlfächer - Elektrotechnik

Literatur

Software resources

anaconda (Python and Jupyter installation framework) - www.anaconda.com

pyam documentation - software.ene.iiasa.ac.at/pyam

MESSAGEix framework - MESSAGEix.ene.ac.at

Resources for the IPCC Special Report on Global Warming of 1.5°C (SR15)

Full report - www.ipcc.ch/report/sr15/ (see Chapter 2 in particular)

Scenario Explorer - data.ene.iiasa.ac.at/iamc-1.5c-explorer

Assessment notebooks

Scientific literature

MESSAGEix framework documentation

Daniel Huppmann, Matthew Gidden, Oliver Fricko, Peter Kolp, Clara Orthofer, Michael Pimmer, Adriano Vinca, Alessio Mastrucci, Keywan Riahi, and Volker Krey. The MESSAGEix Integrated Assessment Model and the ix modeling platform. 2018, submitted. Electronic pre-print available at pure.iiasa.ac.at/15157/.

Vorkenntnisse

Students are expected to have a good understanding of the energy system and the policy questions concerning climate change mitigation and the transition to renewable energy sources. PhD students with an interest in numerical modelling and analytical methods are encouraged to join.

The frameworks used during the lectures and assignments are based on Jupyter Notebooks and Python. In-depth knowledge of Python is not required, but prior experience with at least one scientific programming language (Python, Julia, R, Matlab, Java, C, etc.) is expected.

Students that have not previously worked with Python should install the latest release from www.anaconda.com (Python 3.7 or higher) before the first lecture. Basic understanding of Python and learning to work with pandas DataFrames is highly recommended, see https://pandas.pydata.org/pandas-docs/stable/10min.html.

Running the MESSAGEix framework requires a working installation of GAMS (www.gams.com), but knowledge of GAMS as a mathematical programming language is not required. The MESSAGEix tutorials can be run via Jupyter/Python notebooks without a GAMS license file as preparation prior to the lectures, but developing larger models (e.g., extending the time horizon, adding technologies, disaggregating the demand sector) requires a valid GAMS license. Note that the license which can be purchased via TU Wien does not include the powerful solvers CPLEX and GUROBI. A course license valid for several weeks will be provided prior to the third lecture.

Sprache

Englisch