• Course title: Eco-Conception, matériaux, coût et cycle de vie
• Number of ECTS: 3
• Course code: MPDD-110
• Module(s): Module 2
• Language: FR
• Mandatory: Yes

• Course title: Energy efficiency of buildings, part 1 & 2, lab 1
• Number of ECTS: 7
• Course code: MPDD-11
• Module(s): Module 1
• 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: Transport Systems Analysis
• Number of ECTS: 4
• Course code: MPDD-34
• Module(s): Module 3
• Language: EN
• Mandatory: Yes

This course provides the fundamentals of traffic and transport systems theory: it aims at understanding and managing the relationship between demand for mobility and the various transportation systems and explains how these lead to economic and societal problems such as congestion, pollution, etc.The goal is to provide a broad view of transportation systems analysis covering both private and public transport systems, and to complement this overview with a discussion of aspects like congestion analysis and management, intelligent transportation systems, traffic data collection methods, and new sustainable options (travel sharing, multi-modality, e-cars, etc.).

1.     Provide the student the student with a basic knowledge of transportation systems and to get in touch with the most relevant issues addressed by transportation systems theory. 2.     Introduce the student to theoretical and practical tools to analyse traffic and transport systems, to solve traffic management and infrastructure planning and design problems.

1.     Introduction to transport systems analysis and transport planning and management;2.     Supply systems and traffic flow theory: Urban and motorway systems, definition of capacity, Macroscopic models (fundamental diagram approach);3.     Demand and Travel behavior: Basics of random utility theory, decision making processes, choice set generation; 4-stage modelling, OD estimation from traffic data4.     Traffic assignment and equilibrium: Traffic assignment processes; equilibrium principles;5.     Planning and scheduling of Public Transport: Timetabling, railway capacity, safety systems, real-time rescheduling and management; PT planning and design, sustainable mobility, multimodal networks6.     Infrastructure planning and design: Basics of transport economics, pricing problems, road maintenance strategies, design and planning of new infrastructures####################################Theme:1. The complexity of modelling transportation networks is elaborated in detail, from the analysis of the demand to the arising of congestion problems and how to mitigate them.2. Different management solutions are described in the second part of the course to learn how to reduce transportation costs, and seek sustainable mobility targets.

1) Written Examination (end-of-course assessment): Objectives: Solve numerical exercises andanswer questions on theoryAssessment rules:5 questions (2 theory, 3 numerical) – 4 points eachAssessment criteria:At least 2 theory and one exercise must be completed to passWeight for final grade: 50 % – MDD100 %  – MSCE2)Be able to collect and analyse data and create a demand modelAssessment rules: Follow the 4step model to generate an OD matrix Assessment criteria: Write a report (3000 words)Weight for final grade: 50 % – (MDD/MARCH only) 

Course handouts, course notes.Cascetta E. Transport Systems Analysis. Springer (complementary reading)Ortuzar J. and Willumsen P. Transport Modelling. Wiley (complementary reading)

• Course title: Policy, assessment & evaluation of energy projects on European Level
• Number of ECTS: 3
• Course code: MEEE-6
• Module(s): Module 4
• 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: Initiation to Project Work
• Number of ECTS: 2
• Course code: MPDD-6
• Module(s): Module 5
• Language: EN, FR
• Mandatory: Yes

 

An agreed topic is detailed by the student and it is presented followed by a discussion. Learning objective: Insights into the agreed topic, e.g. energy efficiency of buildings. Personal work in an agreed area. Imparting this knowledge in a presentation followed by a discussion/defense.   Documentation

 

 Exemplary project topics are: Renewable energy- Simulation of the energy consumption of buildings- Computational investigation of thermal bridges- Modern heating techniques- Modern cooling techniques- Advanced construction materials- Building automation- Combined heat and power production using fuel cells- Combined heat and power production using internal combustion engines- Combined heat and power production using thermodynamic cycles- Biofuel production….. 

Written Mid-Term Exam – 50 % (E. Glaude)

Written report and a presentation (defense of a project work) – one final grade for both  – 50 %  – ARCELOR PART

• Course title: Thermodynamics
• Number of ECTS: 5
• Course code: MPDD-7
• Module(s): Module 6
• Language: EN
• Mandatory: Yes

Introduction to the principles of thermodynamics which gives an overview on the 1st and 2nd law of thermodynamic, the cyclic processes for heat, steam, and combustion engines, and the basis of heat transfer. 

–          Definitions-          Change of state (ideal gas) of closed/open cycles, Carnot’s cycle, efficiency-          Irreversible change of state-          Ideal gas in machines and processes-          Steam –          Heat transfer (conduction, convective heat transmission, radiation, thermal transfer)-          Combustion / Conversion of energy

written exam

Einführung in die Thermodynamik, G. Cerbe, H.-J. Hoffmann, 13. Edition, Hanser Verlag, 2002

• Course title: Sustainable Water and Resources Management
• Number of ECTS: 4
• Course code: MPDD-35
• Module(s): Module 7
• Language: EN
• Mandatory: Yes

Currently, a transition is taking place in Europe towards an increasing awareness of the impact of our behavior on the environment. Instead of unrestricted use of fossil fuels, the focus is slowly shifting towards minimizing energy consumption or using renewable sources of energy with the purpose to reduce carbon emissions. The current configuration of the urban water cycle is, from and energy use perspective, not as sustainable as it could be. For example, more than 85% of the energy input in the total urban water cycle (drinking water production, distribution, use in households, wastewater collection and treatment) is used to heat our water. Much of this energy is simply wasted and ultimately discharged to the environment. The creation of a system with a sustainable use of energy within the urban water cycle is necessary.This course provides the fundamentals of sustainable technologies in wastewater and sludge treatment: it aims at understanding and managing the main processes that are necessary, the consumption of energy to conduct these processes in wastewater treatment plants as well as the possibilities of energy production from wastewater and sludge. The main goal is to provide a broad view of conventional wastewater treatment technologies and new sustainable options.In addition to the theoretical part of this course, case studies will be presented by internal and external experts, simulation tools used in practice are provided to get a deeper knowledge in interactions between different treatment processes. The course is complete by two field trips to national and international enterprises dealing with sustainable wastewater and sludge treatment technologies.

Provide the student with a basic knowledge of transportation systems and to get in touch with the most relevant issues addressed by transportation systems theory.Introduce the student to theoretical and practical tools to analyse traffic and transport systems, to solve traffic management and infrastructure planning and design problems.

I. State of the art in wastewater and sludge treatmentII. Future challengesClimate changeDemographic developmentShortage/limitation of Resources (energy, phosphorus)III. Emerging pollutants: Micropollutants in wastewaterIV. Resources in WastewaterEnergy (consumption + production)  Nutrients (recovery)Water (reuse V. Ressource-oriented concepts in wastewater treatment

Written Examination + Computer-aided essay

Metcalf & Eddy: ‘Wastewater Engineering, Treatment and Reuse’Water Environment Federation ‘Energy Conservation in Water and Wastewater’Cao ‘Mass flow and Energy Efficiency of Municipal Wastewater Treatment Plants’Environmental Protection Agency: ‘An Energy Management Guidebook for Wastewater and Water Utilities’Asano ‘Wastewater Reclamation and Reuse’Khanal ‘Anaerobic Biotechnology for Bioenergy Production: Principles and Applications’

• Course title: Circular economy in construction sector
• Number of ECTS: 3
• Course code: MPDD-62
• Module(s): Module 8
• Language: EN, FR
• Mandatory: Yes

In this class, you’ll learn about how to make constructionmore sustainable using a circular economy approach. We’ll cover bothindividual buildings and entire neighborhoods. You’ll get practical experiencedealing with real-world challenges and explore new business models forfinancing these projects. We’ll also look at different certifications likeDGNB and Breeam and see how sustainability is embracing circular economy. Theclass includes group projects where you’ll get the chance to work together toapply these ideas.

Connaître les principes de l’économie circulaire en général et pour le secteur de la construction.  Connaître les dernières innovations en la matière de circularitéSavoir implémenter une philosophie d’économie circulaire dans un projet

Circular economy, Sustainable construction, Eco-district, Adaptability /Flexibility, Reuse/Repair/Recycling, Product-as-a-Service.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               

Oral exam (70%)Project + presentation (30%)

• Course title: Gestion Intelligente de l’Energie
• Number of ECTS: 3
• Course code: MEEE-38
• Module(s): Module 9
• Language: FR, EN
• Mandatory: No

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.