Institut für Automation und angewandte Informatik

Energy System Modelling

  • Typ: Block-Vorlesung (BV)
  • Semester: SS 2020
  • Zeit: 04.06.2020
    10:00 - 12:00 täglich




    04.06.2020
    13:00 - 14:30 täglich



    05.06.2020
    10:00 - 12:00 täglich



    05.06.2020
    13:00 - 14:30 täglich



    19.06.2020
    10:00 - 12:00 täglich



    19.06.2020
    13:00 - 14:30 täglich



    25.06.2020
    10:00 - 12:00 täglich



    25.06.2020
    13:00 - 14:30 täglich



    26.06.2020
    10:00 - 12:00 täglich



    26.06.2020
    13:00 - 14:30 täglich




  • Dozent: Dr. Thomas William Brown
  • SWS: 2
  • LVNr.: 2400230
Bemerkungen

This module will cover the modelling and analysis of future energy systems, with a focus on renewable energies and their interactions with energy networks.

Topics include:

  • Time series analysis of wind, solar and energy demand in Europe.
  • Complex network theory.
  • Analysis of power flow in electrical networks.
  • Modelling storage, the role of storage versus networks.
  • Basics of optimisation, Karush-Kuhn-Tucker conditions.
  • Basics of microeconomics.
  • Economics of electricity markets.
  • Short-run versus long-run efficiency.
  • Network optimisation, storage optimisation.
  • Programming energy system models.
  • Model reduction techniques.
  • Coupling electricity to other energy sectors.
  • Role of renewables in electricity markets.

Additional topics may also include:

  • Dynamics in power networks.
  • Contingency analysis.
  • Effects of climate change on energy systems.
Voraussetzungen

Basic knowledge of mathematics, differential equations, statistics and programming is assumed.

Lehrinhalt

Topics include:

  • Time series analysis of wind, solar and energy demand in Europe.
  • Complex network theory.
  • Power flow in electrical networks.
  • Modelling storage, the role of storage versus networks.
  • Basics of optimisation, Karush-Kuhn-Tucker conditions.
  • Basics of microeconomics.
  • Economics of electricity markets.
  • Short-run versus long-run efficiency.
  • Network optimisation, storage optimisation.
  • Programming energy system models.
  • Coupling electricity to other energy sectors.
  • Role of renewables in electricity markets.

Additional topics may also include:

  • Dynamics in power networks.
  • Contingency analysis.
  • Effects of climate change on energy systems.
Kurzbeschreibung

This module will cover the many factors that influence future energy system design, with a focus on renewable energies and their interactions with energy networks.

Ziel

After the completion of the course students will have obtained basic knowledge of energy system modelling and optimisation, and be able to analyse different concepts for the integration of renewable energy, such as network reinforcement, storage, demand-side management and sector coupling.

Students are in the position to:

  • describe and explain the challenges when integrating renewable energy in energy systems
  • critically evaluate different concepts for the integration of renewable energy
  • do model calculations for power systems based on renewable energies
  • describe the basics of electricity market theory and operation
  • program energy system models using standard open source tools