Duration
26h Th, 26h Pr
Number of credits
| Master of Science in Energy Engineering | 5 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course provides an introduction to state-of-the-art modeling approaches for the energy transition in Belgium, in Europe and in the World. It goes beyond the sole consideration of electric grids by focusing on multi-energy systems, also referred to as integrated or whole energy systems.
Well-known energy scenarios and pathways (IEA, EU Roadmaps, IPCC scenarios, ENTSO-E TYNDP, etc.) are presented and related to their specific model formulation. Through multiple examples, the students learn to select the most appropriate model to answer a specific question and the trade-off between computational tractability and spatial, temporal, sectoral and technological granularity.
Societal aspects not directly linked to the energy sector, such as climate issues, macro-economic considerations, equity issues, the finiteness of energy and mineral resources, political levers for action or energy sufficiency, are also evoked and integrated in a qualitative or quantitative way into the analysis of future scenarios.
In the exercise sessions, the students learn to progressively build complex models, starting from a simple dispatch problem and finally considering multi-nodal, multi-energy and multi horizons optimizations models with capacity expansion. The last exercise sessions are dedicated to the principles of open, collaborative scientific programming for energy modelling, and to the use of an existing open-source energy system model to generate energy transition scenarios.
The course is organized along the following topics:
- Energy Balances and Input-Output Models
- Optimal dispatch and unit commitment
- Networks and DC Power Flow
- Storage
- Capacity expansion
- Modeling Variable Renewables
- Multi-Decadal Dynamics
- Sector Coupling
- Demand modeling and energy sufficiency
- Integrated assessment models
- Socio-Environmental of energy consumption
Learning outcomes of the learning unit
At the end of the course, the student understands how energy system models are built and used to answer different types of questions such as flexibility and adequacy studies, long-term planning or energy integration scenarios. He/She also understands the important scocio-environmental impacts of various energy futures and the related tradeoffs
This course contributes to the learning outcomes I.1, I.2, II.1, II.2, II.3, III.1, III.3, III.4, IV.1, IV.3, IV.4, V.2, VI.1, VI.2, VII.1, VII.3, VII.4, VII.5 of the MSc in energy engineering.
Prerequisite knowledge and skills
The student must understand the general concepts of energy systems and of their main components. He/She should also have knowledge in optimization and computer programming.
Planned learning activities and teaching methods
This course is based primarily on ex cathedra lectures, presented in a modular fashion and supplemented by discussions and external speakers. It is supplemented by hand-on exercise sessions on the students' personal computers.
Part of the time is also devoted to a personal project in which the student runs a freely available model and publicly presents the main results of the modeling.
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Additional information:
11 sessions of 2-hour lectures followed by 2-hour sessions of exercises. The courses are organized face-to-face with some occasional online sessions.
Recommended or required readings
Lecture slides
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions ) AND oral exam
Written work / report
Continuous assessment
Additional information:
The final project and the student involvement in the learning activities and discussions counts for 40%. The final exam counts for 60% or the grade.
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Contact Sylvain Quoilin for specific questions or to request a face-to-face meeting.
Please only use your @student.uliege.be address!