Prerequisite/Recommended prerequisite for participation in the module

The module is based on knowledge achieved in Probability Theory, Stochastic Processes and Applied Statistics and Optimisation Theory and Reliability.

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Knowledge of integrated electrical/thermal energy systems engineering problems, which are suitable for optimisation
• Knowledge of building different programming models such as non-linear models and mixed-integer programming, and solving them using appropriate methods
• Knowledge of optimisation tools suited optimization of integrated electrical/thermal energy systems.
• Knowledge about the optimal design and planning of energy systems (system configuration, placement and sizing of energy-related devices)
• Knowledge about optimal operation and scheduling of different energy systems such as multi-energy systems and micro grids, and integrated systems such as power-gas and power-heat networks
• Knowledge about models for optimal dispatch of energy sources considering technical constraints and regulatory frameworks
• Knowledge about incorporation of optimisation techniques in energy systems economics

Skills

• Ability to analyse and solve advanced optimisation problems such as mixed-integer non-linear, non-deterministic and non-control flow programs
• Ability to judge the usefulness of different scientific methods for analysis (e.g. cost-benefit) and modelling of energy systems
• Ability to verify the analytical and numerical approaches by means of experimental data.
• Ability to integrate optimisation models into real-life problems and analyse effectiveness of solutions in practice
• Ability to select an appropriate optimisation procedure and tool for the energy systems and evaluate the optimisation results

Competences

• Communicate technical issues with specialists in cross-disciplinary teams and the public
• Conscious attitude towards the use of appropriate optimisation tools and techniques within energy systems engineering (specifically electric/thermal engineering)
• Control the working and development process within the project theme, and develop new and efficient solutions within the energy sector
• Define and analyse scientific problems in the area of modelling and optimisation of energy systems

Type of instruction

The Master's programme is based on a combination of academic, problem oriented and interdisciplinary approaches and organised based on the following types of instruction that combine skills and reflection:

• Lectures
• Class teaching
• Project work
• Workshops
• Exercises (individually and in groups)
• Digital learning in different ways including flipped class room, blended learning, game or quiz
• Supervisor feedback
• Professional reflection
• Portfolio work
• Laboratory work

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student

Exam

Exams

Name of exam	Applied Optimization for Energy Systems Engineering: Theory and Practice
Type of exam	Oral exam
ECTS	5
Assessment	7-point grading scale
Type of grading	Internal examination
Criteria of assessment	The criteria of assessment are stated in the Examination Policies and Procedures