Contents

• Modelling and Simulation of Energy Systems
  • Introduction and overview of energy systems analysis
  • Fundamental optimisation models for power systems analysis
    • Optimal unit commitment (short-term planning)
    • Optimal capacity expansion (long-term planning)
  • Scenario planning approaches
    • Introduction to scenario planning
    • Combination of scenario planning and power systems analysis
  • Investment appraisal
  • Selected case studies
• Decision Analysis and Assessment of Strategies
  • Types of decision environments and models
  • Structuring decision problems
    • Generating objectives and hierarchies
    • Generating and preselecting alternatives
  • Preference elicitation
  • Aggregation functions and sensitivity analysis
  • Selected case studies

During the exercises, students work on concrete case studies using an open source energy system model to be installed on their (mobile) computers and practice preparing input data and model results and drawing conclusions from the results.

Learning objectives and competencies

Upon successful completion of the module, students will be able to,

• name categories of energy system models and explain the methodological concepts behind the different categories.
• name and apply approaches to provide structured input (data) for energy system models.
• apply selected methods and models to practical problems (e.g., power plant dispatch optimization).
• interpret results from energy system models and draw conclusions to support decision making.
• discuss strengths and weaknesses of the methods and models used and discuss and derive potential for improvement.

The students have

• developed the ability to think in a networked and critical manner and are able to select and apply established methods and procedures,
• have acquired in-depth, also interdisciplinary methodological competence and are able to apply this in a way that is appropriate to the situation.

Students will practice scientific learning and thinking and will be able to

• understand complex problems in technical systems in a structured manner and solve them in an interdisciplinary manner using suitable methods,
• apply knowledge/skills to specific systems engineering problems.