Study programme 2025-2026Français
Optimal Operation and Sizing of Energy Systems
Programme component of Master's In Energy Engineering (MONS) (day schedule) à la Faculty of Engineering

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRENER-202-MCompulsory UEDE GREVE ZacharieF101 - Génie Electrique
  • DE GREVE Zacharie
  • DE PAEPE Ward
  • TUYTTENS Daniel

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais282000044.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-GELE-041Exact Optimization of Energy Systems2412000Q2
I-MARO-041Meta-Heuristics for Energy Systems48000Q2

Overall mark : the assessments of each AA result in an overall mark for the UE.
Programme component

Objectives of Programme's Learning Outcomes

  • Imagine, design, build and operate machines, equipment and processes to provide a solution to a complex problem of energy production, conversion and transmission by integrating the needs, constraints, context and technical, economic, societal, ethical and environmental issues.
    • Identify the complex problem to be solved and develop the specifications by integrating the needs, constraints, context and technical, economic, societal, ethical and environmental issues.
    • Design and dimension machines, equipment or processes for the production, conversion and transmission of energy in response to the problem posed, based on the state of the art, a study or a model; evaluate them with regard to the various parameters of the specifications.
    • Evaluate the approach and results in order to adapt or optimize the proposed solution.
  • Mobilize a structured set of scientific knowledge and skills and specialized techniques to meet, with expertise and adaptability, the missions of the civil engineer in energy engineering.
    • Master and appropriately mobilize knowledge, models, methods and techniques related to solid and fluid mechanics, energy exchange, dynamic and vibratory behavior of systems, mechanical manufacturing and production, machine operation, physical phenomena, machines, equipment and processes related to the production, conversion and transmission of energy
    • Study a machine, equipment, or process for the production, conversion, or transmission of energy by critically selecting theories, models, and methodological approaches, and by considering multidisciplinary aspects.
    • Assess the validity of models and results given the state of the science and the characteristics of the problem.
  • Plan, manage and carry out projects according to their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Define and frame the project in terms of its objectives, resources and constraints.
    • Evaluate the approach and achievements, adapt them in light of the observations made and feedback received, and make the necessary adaptations and corrections.
    • Meet deadlines and work plan and comply with specifications.
  • Work effectively in a team, develop leadership, make decisions in multidisciplinary, multicultural and international contexts.
    • Interact effectively with other actors to carry out joint projects in various contexts (multidisciplinary, multicultural and international).
    • Contribute to the management and coordination of a team that may be composed of people from different levels and disciplines.
    • Make decisions, individually or collectively, taking into consideration the parameters (human, technical, economic, societal, ethical and environmental) involved.
  • Communicate and exchange information in a structured manner - orally, graphically and in writing, in French and in one or more other languages - at the scientific, cultural, technical and interpersonal levels, adapting to the goal pursued and the audience concerned.
    • Argue and convince, both orally and in writing, in front of a client, a colleague, teachers and juries.
    • Use and produce scientific and technical documents (report, plan, specifications, ...) adapted to the goal and the public concerned.
  • Act as a responsible, open-minded, and critical professional in an autonomous professional development process.
    • Analyze your personal functioning and adapt your professional attitudes.
    • Demonstrate openness and critical thinking by comparing the technical and non-technical aspects of the problems analyzed and the solutions proposed.
  • Contribute through research to the innovative solution of a problem in engineering sciences.
    • Design and implement investigations based on analytical, numerical or experimental approaches
    • Communicate, in writing and orally, on the process and its results by highlighting the scientific quality criteria of the research carried out, as well as the potential for theoretical or technical innovation and the possible non-technical issues.

Learning Outcomes of UE

Acquire a broad and extensive knowledge of optimization techniques, required in modern energy optimization problems.
Select the most appropriate optimization model and optimizer when confronted to a given optimization problem, identify the best values of the optimizer parameters for a given use-case.
Translate a problem from its text version to a mathematical formulation.
Identify the possible barriers when confronted to real-life problems, and propose relevant simplifications.
Model, validate and optimize energy systems.
Use and/or develop energy systems simulation tools to characterize, analyse and optimise the system performances.

UE Content: description and pedagogical relevance

Two Learning Activities: Exact Optimization for Energy Systems, Meta-Heuristics for Energy Systems (follow Learning Activities for more information)

Prior Experience

Not applicable

Type(s) and mode(s) of Q2 UE assessment

  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class

Q2 UE Assessment Comments

Global marks, 3 components:
* AA Exact Optimization for Energy Systems. Written exam in session + lab reports
* AA Meta Heuristics for Energy Systems: project deliverables

Obtaining 08/20 or less for one of the three components may lead to a re-evaluation during Q3.

Method of calculating the overall mark for the Q2 UE assessment

Proportional to the hourly volume of activities. Minimal note to reach for each AA (08/20).

Type(s) and mode(s) of Q3 UE assessment

  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class

Q3 UE Assessment Comments

Re-evaluation following the same modalities than Q2.

Method of calculating the overall mark for the Q3 UE assessment

Proportional to the volume of activities. Minimal note to reach for each AA.

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-GELE-041
  • Cours magistraux
  • Ateliers et projets encadrés au sein de l'établissement
I-MARO-041
  • Cours magistraux
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-GELE-041
  • Face-to-face
I-MARO-041
  • Face-to-face

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-GELE-041Course slides
I-MARO-041Not applicable

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-GELE-041Not applicable
I-MARO-041Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-GELE-041Not applicable
I-MARO-041https://joss.theoj.org/papers/10.21105/joss.04370

https://rheia.readthedocs.io/en/latest/

Metaheuristics from Design to Implementation.
El-Ghazali Talbi. A JohnWiley & Sons, INC., Publication.
ISBN 978-0-470-27858-1.
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de dernière mise à jour de la fiche ECTS par l'enseignant : 15/05/2025
Date de dernière génération automatique de la page : 14/03/2026
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be