Explore the programs and courses offered by Renewable energies
Browse Programs Admission InformationThe PhD program in Renewable Energies offers a rigorous and multidisciplinary research environment aimed at providing international students with advanced knowledge and skills in various types of renewable energy, particularly solar and wind energy. The program covers key areas such as solar photovoltaic and thermal energy systems, wind systems, stand-alone systems, grid-connected systems, and systems with and without electrical storage.
Through a combination of lectures, seminars, and research under the supervision of specialized professors, students participate in the latest developments and contribute to innovation in diverse sectors such as healthcare, power generation, heating, food drying, and water pumping. The program emphasizes hands-on experimentation, collaboration with research laboratories and industrial partners, and high-quality scientific publications.
This program offers a rich international academic experience through high-level academic supervision, access to modern technological resources, and opportunities for global mobility and collaboration.
The doctoral program in Renewable Energies focuses on the following general topics:
• Simulation Tools:
Learning Objectives: Through this course, the doctoral student will be able to familiarize himself with the software and calculation tools used in the design, sizing, and operation of photovoltaic and wind energy systems.
Recommended Prior Knowledge: Bachelor's degree courses: Basic mathematical tools and electricity.
Subject Content:
This course covers the various calculation codes applied in the solar and wind energy sectors and their associated knowledge models.
Chapter 1: General information about electrical installation sizing.
Chapter 2: Sizing photovoltaic installations: Using Archelios to size photovoltaic installations.
Chapter 3: Sizing wind turbine installations: Using RetSceen to size wind turbine installations.
Chapter 4: Sizing solar-wind hybrid installations: Using Homer to size solar-wind hybrid installations.
Chapter 5: Simulating a photovoltaic and wind energy system using MPPT in Matlab.
Software Websites:
- http://www.archelios-pv.fr/
- http://www.retscreen.net/fr/home.php
- http://www.homerproject.eu/
- https://www.pvsyst.com/fr/
https://www.mathworks.com/
The PhD program in Renewable Energies allows students to improve their skills in the following advanced subjects:
First: Photovoltaic Energy Conversion Systems:
Teaching Objectives:
This course aims to introduce the principles of converting solar energy to light energy, its applications, and the method of generating electricity using solar photovoltaic cells.
Recommended Prior Knowledge:
Basic concepts in: electrical circuits, semiconductor physics.
Subject Content:
Chapter 1: Photovoltaic Energy Conversion
Chapter 2: Photovoltaic Systems
Chapter 3: Stationary Converters Used
Chapter 4: Storage Systems
Chapter 5: Charge Controllers
Chapter 6: Sizing Photovoltaic Systems
Chapter 7: Applications
Second: Advanced Fluid Mechanics:
Teaching Objectives:
This subject aims to develop the basic knowledge of the doctoral student. The energy specialization is closely related to the phenomena of viscous and turbulent flows observed in energy systems, and understanding and analyzing them is crucial.
The doctoral student's immersion in the physical and mathematical laws and models of these often complex flows is essential for the specialization in order to acquire the consistent teaching necessary for research.
Recommended Prior Knowledge:
- Fundamentals of Fluid Mechanics
- Mathematics
- Numerical Methods
Subject Content:
Chapter 1: Fluid Dynamics and Transport Equations
Chapter 2: Ideal Fluid and Its Applications
Chapter 3: Real Fluid Dynamics
Chapter 4: Boundary Layers
Chapter 5: Turbulent Flows
Chapter 6: Flow Calculations in Pipes
Applicants must meet the following requirements and submit the following documents:
• Master's degree (or equivalent) in Renewable Energies in Electrical Engineering, or in Mechanical Engineering
• Solid academic background in MATLAB or SOLIDWORKS
• Proficiency in English (TEFL, IELTS, or equivalent)
• A research project related to the program objectives
• Biography
• Transcripts and graduation certificates
• Two academic letters of recommendation
• A cover letter describing academic goals and research interests
• Interview (remote)