• Course title: Introduction to numerical methods for continuous optimization
• Number of ECTS: 5
• Course code: MEEE-37
• Module(s): Module 1.1
• Language: EN
• Mandatory: Yes

This course has two objectives: 1) Provide the student with coding/programming skills, and 2) provide the student with the concept of continuous optimization and computational algorithms associated with it.1) Mathematical descriptions of engineering and physical systems can often be solved analytically (i.e. with pen and paper). However, many more of these mathematical descriptions cannot solved analytically, in which case numerical methods are required. In other words, computers are required to solve the mathematical descriptions. Even though many numerical algorithms are readily available (for free or with a license), one needs to know how to interact with them. The first objective of this course is to provide the student with general programming (i.e. coding or implementation) skills so that she/he can make use of existing computational resources (freely accessible or licensed), how to alter the numerical algorithms, how to pre-process the inputs and how to post-process the numerical results.2) Numerous problems in engineering, physical and economical industries and application domains essentially boil down to minimising a single function: the objective function in optimization terminology. Minimisation is not only the basis of many simulation tools, but also the basis of many parameter identification approaches. Unfortunately, there is not one minimisation method that outperforms the others. In this module, the student will therefore become familiar with a number of basic numerical minimisation techniques, each with its own advantages and disadvantages. Furthermore, the student will also be exposed to constraints that often must be incorporated in the optimization problem.

Understand and be able to implement continuous, multivariate functions in scientific computing software.Understand and be able to implement the first-order derivatives of continuous, multivariate functions in scientific computing software.Understand and be able to implement the second-order derivatives of continuous, multivariate functions in scientific computing software.Understand and be able to solve systems of linear equations in scientific computing software.Understand and be able to work with descent methods.Understand and be able to work with Newton’s method in optimization. Understand and be able to incorporate constraints in objective functions using substitution.Understand and be able to incorporate constraints in objective functions using the penalty method.Understand and be able to incorporate constraints using the method of Lagrange multipliers. 

Continuous, multivariate functions.First-order derivatives of continuous, multivariate functions.Second-order derivatives of continuous, multivariate functions.Systems of non-linear and linear equations.Descent methods: steepest descent method, line search using the Armijo rule, conjugate gradient method, compute multivariate derivatives, implement the methods.Newton’s method: Compute multivariate second-order derivatives, solve linear systems, implement the method.Implement constraints in previous unconstrained objective functions using substitution.Implement constraints in previous unconstrained objective functions using the penalty method.Implement constraints in previous unconstrained objective functions using the method of Lagrange multipliers.

Combined assessment: 1.  Written exam – 20 %Objectives: Assess the student’s understanding of and ability to work with descent methods.Assessment rules: The lecture notes and possibly even the internet may be used. However, any means of communication is forbidden.Assessment criteria: The student must use its own implementations, made during the semester, to calculate some minimization problems. The student will be asked to replicate parts of the implementation with pen, paper and a simple calculator. Open questions that require a textual response may also be asked.2.  Written exam – 20 %Objectives: Assess the student’s understanding of and ability to work with Newton’s method.Assessment rules: The lecture notes and even the internet may be used. However, any means of communication is forbidden.Assessment criteria:The student must use its own implementations, made during the semester, to calculate some minimization problems. The student will be asked to replicate parts of the implementation with pen, paper and a simple calculator. Open questions that require a textual response may also be asked.3.  Written exam – 60 %Objectives: Assess the student’s understanding of and ability to work with descent methods, Newton’s method and constraints in objective functions.Assessment rules: The lecture notes and even the internet may be used. However, any means of communication is forbidden.Assessment criteria: The student must use its own implementations, made during the semester, to calculate some minimization problems. The student will be asked to replicate parts of the implementation with pen, paper and a simple calculator. Open questions that require a textual response may also be asked. 

Syllabus: Available on the Moodle page.Lecture notes are provided by the instructor.

• Course title: Thermodynamics
• Number of ECTS: 5
• Course code: MEEE-2
• Module(s): Module 1.2
• Language: EN, FR
• Mandatory: Yes

To provide the students the theoretical and practical knowledge in sizing compact heat exchangers, particularly those used in automotive and aeronautics. The second objective is to give an introduction to the electric vehicle thermal management system. 

Knowledge in the thermal-hydraulic analysis, design, and sizing of compact heat exchangers for industrial applications. Introduction in simulation tool development. Basics knowledge in vehicle thermal management. 

The following topics will be addressed: Fundamentals in heat exchangers design/Thermal enhancement technics/Heat exchanger thermal and thermodynamics analysis/Heat exchanger pressure drop analysis/Development of a heat exchanger simulation tool in Excel. Basics in automotive heat pump systems, battery, and e-powertrain thermal management.  

Written exam  – 50 %  Take-home assignment – 50 %

Fundamentals of heat exchanger design.R. Shah and D. Sekulic.InnoTherm Webinar #10: Thermal Management of Electric Vehicles: New Engineering Challenges

• Course title: Contrôle de gestion
• Number of ECTS: 4
• Course code: BPG-44
• Module(s): Module 1.3
• Language: EN
• Mandatory: Yes

 Demonstrate an understanding of the fundamental concepts and principles of management accounting and control.Apply budgeting techniques to develop and analyze budgets for various organizational functions.Evaluate and make informed decisions regarding capital investment projects using capital budgeting methods.Analyze financial performance measures to assess the financial health of an organization and the achievement of its objectives.Design and interpret key performance indicators (KPIs) to assess and improve organizational performance.Construct value-based performance measurement systems to enhance decision-making and create value for the organization.Create and utilize strategic management accounting tools, including the Balanced Scorecard, to align organizational strategies and performance measures.Apply quantitative methods to address management accounting challenges, such as cost and KPI estimation.Explore and analyze recent developments and trends in management accounting and control, such as environmental and sustainability issues, to stay current with industry practices and emerging techniques.Design and implementeffective management control systems to align with organizational goals and ensure efficient operations. 

Introduction to Management Accounting and Control BudgetingCapital Investment DecisionsPerformance Measurement – Financial Performance Measurement – Key Performance Indicators Value-Based Performance Measurement Strategic Management Accounting and the Balanced Score Card Quantitative Methods to Management AccountingEnvironmental and Sustainability Management AccountingManagement Control Systems

final written exam

Literature Charifzadeh, M. & Taschner, A. (2017). Management Accounting and Control. Wiley.Merchant, K.A. &Van der Stede, W. (2023).Management Control Systems (5th Edition). Pearson.

• Course title: Case Studies in Finance
• Number of ECTS: 4
• Course code: BPG-80
• Module(s): Module 1.4
• Language: EN
• Mandatory: Yes

On completion of the course unit successful students will be able to: – Discuss and analyze core concepts related to financial accounting that provides decision-relevant information- Conduct a problem-driven strategic analysis of a firm- Conduct basic quantitative analysis of firms based on financial accounting numbers The case studies incorporate vast and complex topics. Their full coverage is out of the scope of this course. Therefore, the overall goal of this course is to attract interest and to make students life-long learners so they may sharpen their financial management skills and styles over time in their professional life, based on the concepts provided.

On completion of the course unit successful students will be able to: – Discuss and analyze core concepts related to firm and market valuation- Conduct a problem-driven strategic analysis of a firm- Conduct basic quantitative analysis of firms based on different financial indicators and valuation tools- Discuss and analyze core concepts of investment and portfolio choices The concepts discussed above in the syllabus are all vast and complex topics. Their full coverage is out of the scope of this course. Therefore, the overall goal of this course is to attract interest and to make students life-long learners so they may sharpen their financial management skills and styles over time in their professional life, based on the concepts provided.

The objective of the course is to advance students’ knowledge and expertise in financial accounting and train them on complementary skills, such as arguing, writing, and complex problem-solving. During the course students solve case studies. They submit the case studies’ solution in written.To refine students’ written communication skills as well as their judgment skills in dealing with a realistic and less structured variety of accounting problems, the students will cover a few case exercises based on real-world examples that have been adapted for teaching purposes. During the self-study phase, the students have to solve accounting issues and prepare financial statements according to International Financial Reporting Standards (IFRS). Hence, while dealing with the case exercises students simulate the preparation of financial statements and financial statement analysis.Students must submit written case study solutions.    

50% case studies50% final exam 

LITERATURERuth Picker,Kerry Clark,John Dunn,David Kolitz,Gilad Livne,Janice Loftus,Leo van der Tas(2019): Applying IFRS Standards, 4th Edition, Wiley.   

• Course title: Computational Fluid Dynamics
• Number of ECTS: 3
• Course code: MEEE-3
• Module(s): Module 1.5
• Language: EN
• Mandatory: Yes

To evaluate the students’ understanding of FEM method, including its stability, convergence, and application to solve basic fluid dynamics problems.and to assest their ability to generate mesh using gmsh.

The students will learn to assess the quality of numerical results and the efficiency of numerical methods for basic fluid flow model problems

Written exam – 100%.Withe assessment rules: To solve the gmsh questions, the students are allowed to use the university computer.

• Course title: Production et distribution de l'énergie électrique
• Number of ECTS: 3
• Course code: MEEE-4
• Module(s): Module 1.6
• Language: EN, FR
• Mandatory: Yes

Acquérir les notions générales de la production, de la transformation, du transport et de la conversion de l’énergie électrique dans les réseaux standards et les réseaux décentralisés intelligents. 

Connaitre les différents types de centrales électriques pour la production d’énergie électrique

Connaitre les différentes solutions de mise en réseau des unités de production

Connaitre les méthodes de conversion pour la distribution de l’énergie électrique

Comprendre la gestion des flux de puissances active et réactive entre unités de puissance et consommateurs

Connaitre les normes de qualité de la puissance électrique

Connaitre l’origine des pertes et les coûts correspondants des systèmes d’énergie électrique pour son utilisation rationnelle et durable

 1      Les réseaux électriques standards31.1   La consommation électrique. 31.1.1      Les composants électriques passifs de base. 31.1.2      Bilan de puissance. 51.2   La production de l’énergie électrique. 71.2.1      Les centrales électriques. 71.2.2      L’alternateur81.2.3      Le transformateur de tension. 161.3   Le transport de l’énergie électrique. 301.3.1      Caractéristiques d’un réseau électrique triphasé. 311.3.2      Les lignes électriques et leurs supports de montage. 321.3.3      L‘impédance de la ligne électrique. 341.4   Les réseaux de répartition et de distribution électrique. 352      Les réseaux électriques intelligents (smart grids)372.1   L’alimentation électrique décentralisée. 392.2   Qualité des réseaux d’unités de puissance décentralisées. 412.3   Fonctionnement d’une source de tension en parallèle avec des sources de courant (couplage master-slave)432.4   Fonctionnement de sources de tension en parallèle (couplage master-master)453      L’électronique de puissance. 463.1   Definition. 463.2   Les semi-conducteurs. 493.2.1      La diode de puissance. 493.2.2      Les thyristors. 503.2.3      Les transistors de puissance. 523.3   Montage en pont (B2) pour courant alternatif543.3.1      Exemple: l’onduleur SunnyIsland® (SMA)543.3.2      Procédés de pilotage des onduleurs. 574      Fondamental et taux d’harmoniques de grandeurs alternatives non sinusoïdales675      Puissance de grandeurs électriques non sinusoïdales. 715.1   Tensions sinusoïdales et courants non-sinusoïdaux. 715.2   Tensions et courants non-sinusoïdaux. 735.3   Rendement des convertisseurs. 746      Filtre passif856.1   Inductance de filtrage. 856.2   Condensateur de filtrage. 866.3   Condensateur haute fréquence HF. 876.4   Condensateur électrolytique. 887      Abréviations908      Bibliographie. 90 

Written exam (120 min.) – 100 % with the following objectives:

To be able to define the fundamental electrical devices used for the production, transformation, transport and distribution of electrical energy

To be able to explain the operation of the electrical devices

To be able to calculate relevant values of electrical circuits made of active and passive components 

Assessment rules:

To be able to understand the difference between conventional grid and smart grid.

Based on application exercises (theory, formal calculation & simulation) and their correction during the lecture, the student must be able to answer questions and solve similar problems on his/her own

Assessment criteria:

Quality of the answers consisting in a correct communication language (French or English), the detailed methodology and the calculation results 

 

• Course title: Energetics of the blast furnace/Paul Wurth
• Number of ECTS: 3
• Course code: MEEE-5
• Module(s): Module 1.7
• Language: EN
• Mandatory: Yes

Introduction of industrial processes to the students in order to bridge the theory of the study and the industrial application. Technical, environmental and economical aspects are discussed and the interrelationship shall become obvious.

Understanding of overall iron making procedure and how to reduce its CO2 emissions

 The Blast Furnace Process:·         History and description of the Blast Furnace·         The Blast Furnace Process:-       Reduction Equations-       Thermal and mass balance·         Auxiliary plants (Hot Stoves, Sinter Plant, Pulverized Coal Injection Plant, Slag treatment, etc.) Technical Improvements to the Blast Furnace Process with economical and environmental impacts:·         Top Gas Recovery Turbine·         Heat recovery system at the Hot Stoves.         Digitalization.         Technologies for CO2 emissions reduction-          Reducing gas generation-          CO2 capture 

T

The students need to accomplish a project. The project presentation and final report will

be considered for the assessment. There are also assignment, which should be submitted in written form.

Take-home assignment -5% of Final Grade

  Written exam – 75 % of Final Grade

Group work – 20% of Final Grade

 

 

 

The students need to accomplish a project. The project presentation and final report would be considered for the assessment. There are also assignment, which should be submitted in written form.

The presentations are shared with the students

• Course title: Urban planning & certification acc. to DGNB
• Number of ECTS: 3
• Course code: MEEE-18
• Module(s): Module 1.8
• Language: FR
• Mandatory: Yes

• Course title: Heat and Mass Transfer
• Number of ECTS: 5
• Course code: MEEE-32
• Module(s): Module 2.1
• Language: EN
• Mandatory: Yes

Target is to learn the basic mechanisms of heat and mass transfer. These mechanisms are applied to multi-dimensional and transient Problems. The students will learn to analyze heat transfer problems as well as to design heat transfer devices.

Heat Transfer Mechanisms, Multi-Dimensional Heat Transfer, Transient Heat Transfer, Convection, Radiation, Basics of Mass Transfer

IntroductionFourier’s Heat Transfer EquationSteady State Heat ConductionTransient Heat ConductionConvective Heat TransferRadiation Heat TransferHeat ExchangerBasics of Mass Transfer

Written Exam

Support / Arbeitsunterlagen / Support:

Folien- Präsentation du Übungsblätte

 

Littérature / Literatur / Literature:

Fundamentals of Heat and Mass Transfer, Incropa et al; John Wiley & Son

• Course title: Policy, assessment & evaluation of energy projects on European Level
• Number of ECTS: 3
• Course code: MEEE-6
• Module(s): Module 2.2
• Language: EN
• Mandatory: Yes

– EIB approach towards energy projects- EIB approach towards climate change- Technical and economic due diligence of energy efficiency projects- Technical and economic due diligence of renewable energy projects

Written exam

• Course title: Energy efficiency of buildings, part 1 & 2, lab 1
• Number of ECTS: 7
• Course code: MPDD-11
• Module(s): Module 2.3
• Language:
• Mandatory: Yes

Concepts for energy efficient and comfortable buildings

Students understand basics of comfort and energy in buildingsThe student understands the relevant parameters for energy efficient buildings:-        The basics in building physics and the aspects related to the building envelope-        The user and his need in terms of comfort-        The technical installations, especially heating / ventilation / air-conditioning / lightingThe student understands and can work with the energy relevant parameters of building materials and building components.The student knows the common technical installations and the student is able to evaluate them on their energy performance. relevant parameter of building.The student understands the basics of establishing energy balances and evaluations of buildings.As civil engineer the student disposes on the necessary knowledge and vocabulary to communicate with the specialists (energy consultants, building services engineers…) in this field.

 Basics in building physics and energy efficiency of buildings (Part 1: S. Maas):                                                                                            1. The role of the building2. The actual situation of administrative buildings     3. Contaminants in buildings                                                                   4. Comfort and needs of occupants                                                        5. How to assure thermal comfort                                                            6. Windows (gains, losses, orientation)                                                  7. Air tightness                                                                                       8. Thermal inertia/mass          9. Ventilation & cooling                                                                          10. Heat pumps and solar collectors                                                      11. Heat recovery                                                                                  12. Heating needs                                                                                13. Final energy and primary energy                                                             14. Coefficients of performance                                                              15. Energy performance certificates                                                             16. The norm EN832                                                                            17. The Energy Performance of Buildings Directives (EPBD): 2002/91/EC & 2010/31/EU     Lab 1 content (PhD-students/1 ECTS):                                                    1. Thermal comfort                                                                                       2. Heat Flowmeter                                                                                      3. Thermography                                                                                     4. Lighting                                                                                                    5. Blower-Door Test                                                                                    6. Software Lesosai for stationary energy balances                           7.Thermal Bridges – CataloguePart 2 (F. Scholzen):Concepts for energy efficient and comfortable buildings: Technical installations Introduction: active and passive measuresHeating:  Heat load, heating systems, heat production and distributionVentilation needsMoist air, psychrometric diagram (Mollier)Air-conditioning: Chillers, Room Air Cooling, Air handling UnitsFree CoolingShort introduction to renewable energies in buildings Lab. Sessions:Introduction and general guidelines for the measurements, Thermography, Blower-door test, Measurement of humidity, Measurement of heat flux, Acoustic Measurement 

  End-of-course assessment:    Written exam – 90 min – 20 pointsOral exam – Depending on the number of students and/or external constraints, a partial or completely oral exam format may be chosen by the teachers !

 Part I:Roulet, Santé et quailté de l’environnement intérieur dans les bâtiments, 2004, LausanneMultiple handouts during the lessonsW. Feist, das Niedrigenergiehaus, C.F. Müller, 1998RWE Bau Handbuch,VWEW Energieverlag, 2004 Part II: ScriptPart Lab. Sessions : Hand-out’saccess to LESOSAI for one lab session 

• Course title: Efficience Energétique des Bâtiments, Partie 3, lab.2
• Number of ECTS: 4
• Course code: MEEE-31
• Module(s): Module 2.4
• Language: FR, EN
• Mandatory: Yes

Assessment of different building categories, e.g. single family homes, apartments, schools, old & new buildingsAu terme du cours, l’étudiant doit être à même de :- connaître et comprendre les caractéristiques constructives et les installations techniques du bâtiment qui ont un impact sur la performance énergétique du bâtiment- comprendre le système énergétique « immeuble » et les différents concepts d’immeuble performants-  connaître et comprendre les méthodes d’établir des bilans énergétiques d’immeubles d’après la méthodologie DIN 18599 et de pouvoir appliquer les logiciels correspondants- connaître et comprendre les méthodes de déterminer des charges thermiques et frigorifiques ainsi que le comportement thermique d’un bâtiment sur base d’une simulation horaire et de pouvoir appliquer les logiciels correspondants

Au terme du cours, l’étudiant doit être à même de :- connaître et comprendre les caractéristiques constructives et les installations techniques du bâtiment qui ont un impact sur la performance énergétique du bâtiment-  connaître et comprendre les méthodes d’établir des certificats de performance énergétique (CPE) d’immeubles fonctionnels d’après la méthodologie DIN 18599 et de pouvoir appliquer les logiciels correspondants- pouvoir optimiser un immeuble sur base de ces CPE tout en restant critique quant à leur fiabilité de représenter le comportement d’un bâtiment réel 

Part III : la physique du bâtiment et son monitoring Assurer la qualité de l’air: les effets de l’aération, ventilation naturelle et mécanique, chiffres clefs de consommation électriques pour la ventilation et la climatisationProtection contre l’humidité et les moisissures : protection contre la pluie, l’humidité du sol, transport convectif du vapeur, condensation et diffusionAssurer la qualité de l’éclairage : Eclairage naturel et artificiel, chiffres clefs de consommation électriques pour l’éclairage

L’examen écrit

Notes de cours (disponibles sur Moodle)

• Course title: Gestion Intelligente de l’Energie
• Number of ECTS: 3
• Course code: MEEE-38
• Module(s): Module 2.5
• Language: FR, EN
• Mandatory: Yes

Machine learning and artificial intelligence for energy management applications  

1     Introduction aux réseaux électriques intelligents 1. Introduction 2. Les concepts et fonctionnalités attendues des SGs 3. Architectures de Smart Grids 3.1. Modèle de NIST «National Institute of Standards and Technology» 3.1.1. Customer Domain (Clientèle) 3.1.2. Markets Domain (Marchés) 3.1.3. Service Provider (Le fournisseur de services) 3.1.4. Operation (fonctionnement) 3.1.5. Bulk generation (production) 3.1.6. Transport 3.1.7. Distribution 3.2. Modèle IEEE 3.2.1. La couche de systèmes d’énergie (power layer) 3.2.2. La couche de communication 3.2.3. La couche information 2     Outils nécessaires pour la gestion des SG1.              Introduction             1.1           Histoire de l’IA – L’IA n’est pas nouvelle !!1.2.          Applications de l’IA2.              Différence entre algorithme conventionnel et algorithme intelligent3.              Différence entre IA / Machine Learning / Deep Learning3.1           Apprentissage supervisé : régression3.2           Apprentissage supervisé : Classification3.3           Apprentissage non supervisé : clustering4.              L’apprentissage en profondeur (réseaux de neurones artificiels)5.              Étapes pour le développement d’un algorithme intelligent5.1           Type de données5.2           Nettoyage des données5.3           L’analyse des données6.             Étude de cas : l’intelligence artificielle pour la détection de défauts électriques T Total Eng/Fr 14days, 63 hours

Combined assignment:Task 1:Interpretation of scientific articles and homework – 15 %Task 2: Oral presentation of scientific topic related to the smart energy management – 15%Task 3:End of course exam – 70 %

Literature & resources: Bharatkumar V. Solanki, Akash Raghurajan, Kankar Bhattacharya, IEEE Transactions on Smart Grid Vol. 8, no. 4, pp.1739-1748, 2017.Ganesh Kumar Venayagamoorthy, Ratnesh  K. Sharma, Prajwal K. Gautam and Afshin Ahmadi, IEEE Transactions on Neural Networks and Learning Systems, Vol 27, no. 8, pp.1643-1656, 2016.Pierre Borne, Mohamed Benrejeb, Joseph Haggège, Les réseaux de neurones : Présentation et applications, Edition Technip, 2007.

• Course title: Financial Reporting & Compliance
• Number of ECTS: 4
• Course code: BPG-83
• Module(s): Module 2.6
• Language: EN
• Mandatory: Yes

 

The purpose of the lecture series on the topic of financial accounting is to provide a basic understanding of international financial reporting. When students attended the class, they should be able to record selected transactions according to International Financial Reporting Standards (IFRS) and to prepare financial statements. Students should be able to:·   understand the IASB’s standard-setting role·   understand the IASB’s framework – who uses it and why?·   define the basic elements in financial statements·   understand the concept of a assets and liabilities·   explain when a provision, property, plant and equipment, intangible asset, or revenues should be recognized and measured·   apply the definitions, recognition and measurement criteria for provisions, contingent liabilities, property, plant and equipment, intangible assets, or revenues  

·    Module 1: Recap the Basics ·    Module 2: Introduction to International Financial Reporting ·    Module 3: Provisions and Contingent Liabilities ·    Module 4: Property, Plant and Equipment ·     Module 5: Intangible Assets ·     Module 6: Revenue ·     Module 7: Framework  

Written exam 100%

LITERATURELeo/Picker/Loftus/Wise/Clark/Alfredson (2012, 3rd edition): Applying International Financial Reporting Standards, Wiley.

• Course title: Introduction aux décisions financières
• Number of ECTS: 4
• Course code: MEEE-22
• Module(s): Module 2.7
• Language: FR
• Mandatory: Yes

Établir le lien entre les fonctionnements techniques et économiques de l’entreprise

Savoir intégrer les enjeux économiques dans les décisions de l’ingénieur

– Évolution de l’économie, conséquences sur la structuration des marchés, l’organisation et les fonctionnements de l’entreprise- Le prix de revient : calcul, pièges et autres considérations- La comptabilité- Les documents comptables, ratios, analyses financières, tableaux de bord- Entreprise et création de valeur

Devoir de groupe en temps limité – éxamen écrit

Les documents utiles sont distribués pendant le cours

• Course title: Cost Accounting for Engineering Managers
• Number of ECTS: 4
• Course code: MEEE-34
• Module(s): Module 2.8
• Language: EN
• Mandatory: Yes

Introduction of basic managerial accounting concepts

Upon successful completion of the course, students will be able to:-          Define cost accounting concepts.-          Evaluate the nature of costs in a given business situation and identify the business drivers behind those costs.-          Calculate and record product costs using job order, process and activity based costing methodologies.-          Measure the profitability of decentralized business segments.-          Evaluate capital budget alternatives and apply managerial accounting concepts to management decision making.-          Analyze the effectiveness of short-run decision models.Apply key types of financial performance measurement tools to analyze financial statements.

Throughout this course, weekly topics may include but are not limited to: Managerial Accounting — Cost Concepts and Job Order Costing ; Process Costing Systems and Value Based Costing Systems ; Cost-Volume-Profit Analysis and the Budgeting Process ; Flexible Budgets, Performance Analysis, and Cash Flow Statements ; Standard Costing and Variance Analysis ; Short-Run Decision Analysis and Pricing Decisions ; Capital Investment Analysis ; Financial Statement Analysis

Continuous assessment: Task 1:   Take-home assignment (50% weight for final grade)Task 2:     Presentation (50% weight for final grade)

• Course title: Efficience énergétiques des bâtiments partie 4
• Number of ECTS: 3
• Course code: MEEE-39
• Module(s): Module 3.3
• Language: FR
• Mandatory: Yes

• Course title: Advanced Control of Electrical Energy
• Number of ECTS: 3
• Course code: MEEE-11
• Module(s): Module 3.4
• Language: EN
• Mandatory: Yes

This course aims at providing the basics on the management and control of power systems in the context of the energy transition towards a clean electricity supply. Firstly, the student will get acquainted with the classical control techniques of conventional power systems. Then, the student will be introduced to the new paradigms and advanced concepts of power grids considering the future scenarios of electrical power systems characterized by an increasing integration of distributed energy resources (such as distributed renewable-based generation and electric vehicles), a greater digitalization of the whole energy sector and the widespread use of power electronic interfaces.

The main objectives to be achieved are the following:– Characterize the paradigm shift in electrical power systems, and its influence on planning, operation and control– Master the concepts of Microgrid, Smart Grid and respective characteristics– Understand the control of grid-connected assets based on power electronics

1. Power Systems today and the Key Elements of the Energy Transition  1.1 Introductory overview of electric power systems; main components (generators, loads, networks, transformers) and their role   1.2 System operation reliability: voltage and frequency control  1.3 System economics: unit commitment and economic dispatch of power generators  1.4 The energy transition toward renewable electricity supply: aim, paradigm shift in transmission and distribution levels, challenges and potential solutions 2. Renewable energy power plants  2.1 Sizing study of self-consumption photovoltaic power plant with or without re-injection into the grid and with a storage system to make the system energy self-sufficient.  2.2 Sizing study for wind power plants. Evaluation of the energy produced based on the statistical study of wind speeds. Study of synchronous and asynchronous generators associated with power electronics converters.  2.3 Sizing study for hydraulic power plants. Evaluation of the energy produced as a function of the characteristics of the waterfall and the type of turbine. Study of the asynchronous generator coupled to the grid. 3. Advanced Control Architectures for Future Energy Systems 3.1 SCADA systems and EMS; role and main functionalities  3.2 The Microgrid; modes of operation; extension of the microgrid concept  3.3 Introduction to Smart Grids; smart metering; decentralized / distributed architectures  3.4 Impacts from the integration of Distributed Energy Resources (Distributed Generation, Electric Vehicles) in electrical distribution systems

Combined assessment:Written exam: 60%Take-home assignment: 30%Active participation: 10%

• Course title: Hydrogen systems
• Number of ECTS: 4
• Course code: MEEE-12
• Module(s): Module 3.5
• Language:
• Mandatory: Yes

The objective of this course is to learn about hydrogen technologies and their relevance and potential for decarbonization of industry and society.  

At the end of this course, students should be able to: describe basic hydrogen technologies including fuel cells and electrolysers with different electrolytes, and explain their modes of operation, calculate mass and energy balances, and especially efficiencies for moderately complex hydrogen based systems, solve energy-related problems through rational selection of hydrogen based technologies, conduct basic techno-economic analysis of hydrogen systems.

Lectures, problem solving classes and potentially one or more site visits.

Combined assessment:1)Written exam:60 % 0f the final grade:Objective of the final exam is to demonstrate knowledge and ability in the course materials.Assessment rules: Standard final exam, written questions requiring a mix of calculations, diagrams, and written answers.Assessment criteria: Assessed against a marking rubric.2)  Take-home assignment: 40 % of the final grade:The objective of the assignment is to conduct a comprehensive evaluation of a hydrogen technology and implement the key analysis techniques from the course, including an analysis of the efficience, decarbonization potential, and techno-economic performance.Assessment rules: Standard assignment, more details will be provided during the course.Assessment criteria: Assessed against a marking rubric. 

• Course title: Integrated Energy Systems/Creos
• Number of ECTS: 5
• Course code: MEEE-13
• Module(s): Module 3.6
• Language: EN
• Mandatory: Yes

The objective of these course is to get familiar with the system levelunderstanding of energy production and demand and the opportunities that integration of multi-energy systems present for the future.

At the end of the course, students should be able to: understand the complex interdependencies of production, consumption and infrastructure in systems based on renewable energies, describe the characteristics of different renewable energy resources and demand; assess the need for energy storage systems and the types; get an overview of the energy market mechanisms for energy and power balancing; understand the fundamentals of a hydrogen economy, build and analyze basic simulation models of integrated energy system

Lectures covering the topic below, simulation and analysis of energy systems, potential visit to laboratory for demonstration –          Technical characteristics of renewable energy sources-          System integration needs across sectors (such as Transport, heating)-          Energy storage systems-          Smart grids and energy management-          Energy markets-        Hydrogen economy

  Combined assessment:1)  Written exam – 60 % of the final grade:Objective of the final exam is to demonstrate knowledge and ability in the course materials.Assessment rules: Standard final exam, written questions requiring a mix of calculations, diagrams, and written answers.Assessment criteria: Assessed against a marking rubric.2)  Take-home assignment – 40 % of the final grade:The objective is to conduct a comprehensive analysis of the case study of system requirements, and propose possible solutions supported with a simulation.Assessment rules: System analysis assignment, more details will be provided during the course. Assessment criteria: Assessed against a marking rubric   

• Course title: H2 combustion engines/turbines
• Number of ECTS: 3
• Course code: MEEE-35
• Module(s): Module 3.7
• Language: EN, FR
• Mandatory: Yes

Give an overview on combustion engines and turbines and new opportunities. 

Learn about reflect on the opportunities of h2 in the area of combustion engines and turbines.

This lecture will address the following subjects:- Overview of existing combustion engines and turbines – H2 combustion engines and turbines – Fuels – classic fossil fuels, hydrogen, e-fuels- State of the art on exhaust emissions control devices- Comparison between available alternative systems- Construction of H2 combustion engines- Applications for these technologies- H2 powered turbines – aviation application

Combined assessment:1) Presentation – 25% of final grade:The students chose a subject from the presented list or propose a different subject. Write a report with 15-20 pages and prepare a 20 min presentation.Work to be done individually or in pair (2 people).Language: French or EnglishThe report should contain an abstract in two other languages. Handling both report and presenting is mandatory.2)Written exam – 75 % of final grade:With an objective to check the knowledge on the lecture content.

• Course title: Initiation to project work: Techno-Economical Energy Project
• Number of ECTS: 5
• Course code: MEEE-36
• Module(s): Module 3.8
• Language: EN
• Mandatory: Yes

• Course title: Master thesis
• Number of ECTS: 30
• Course code: MEEE-17
• Module(s): Module 4.1
• Language: EN
• Mandatory: Yes