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 |