Course: Energy Systems Modelling & Applications credits: 5

Course code
SUVM23ESMA
Name
Energy Systems Modelling & Applications
Study year
2023-2024
ECTS credits
5
Language
English
Coordinator
J. Bekkering
Modes of delivery
  • Teaching method 1
Assessments
  • Energy Systems Modelling & Applications - Assignment

Learning outcomes

By completing the module the student demonstrates knowledge and understanding of: 

  1. Simulation and optimisation models, the difference between these two and their applicability in energy systems modelling 

  1. Deterministic and stochastic energy system models, the difference between these two and their applicability 

  1. Sensitivity analysis and Monte Carlo techniques 

  1. The potential strengths and weaknesses of energy system models and is able to interpret the results with a critical view 

And is able to: 

  1. Build a techno-economic-environmental energy system model in a suitable modelling environment, and based on a supply and demand pattern 

  1. Present the outcomes of the model in a scientific format 

Content

In this 5 ECTS module the student will expand his/her knowledge of modelling (renewable) energy systems. The difference between simulation and optimisation, and deterministic and probabilistic models, are discussed, with typical applications. Sensitivity analysis and Monte Carlo techniques are explained and applied. A real life renewable energy system is modelled and optimised in an applicable modelling software environment. Modelling is done from a techno-economic-environmental perspective. 

Included in programme(s)

School(s)

  • Institute of Engineering
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