Energy Engineering courses S7

General Data
Academic program	ECAM ENGINEERING PROGRAM		Module Manager(s): BEN HAJ SLAMA Rafika
Module type	Teaching Unit
Credits (ECTS)	12
Maximum number of students	250
Total duration :104h00	Period : SEMESTER 7	Language : : English

Learning outcomes
- Size a renewable energy production alternator for different applications: wind energy, hydroelectricity and hydrokinetics (tidal energy).<br>- Choose the right type of alternators according to the application:<br> • Wind energy or tidal energy: due to the low and variable speed rotation that depends on the weather conditions, a double fed induction generator is used. <br> • Hydroelectricity: since the debit can be regulated in the turbine, a synchronous generator is used. <br>- Size an electrical generator in order to meet the industrial specifications. <br>- Design all the critical parts of an electrical machine according to the required voltage, the current generation and the available space for the generator:<br> • The total dimensions of the machine (Stator, air-gap, rotor, useful length of the machine)<br> • The coil at the stator in order to produce electricity with a high quality<br> • The permanent magnet of the coil at the rotor, according to the specifications.<br>- Choose the best materials for the application, as an example choose a specific alloy to avoid losses.<br>- Suggest a machine cooling solution to allow a better performance.<br><br>The Computational Fluid Dynamics course introduces the student to the subject of Computational Fluid Dynamics, as well as numerical methods for predicting heat transfer. In this course, student will develop the following outcomes:<br>• An ability to explain the role of computation in fluid dynamics and describe its applicability, potential and limitations<br>• An ability to set up the most appropriate CFD model (in terms of boundary conditions, grids, material properties, solution control parameters, solution monitor, approximations, etc.) for a given application<br>• An ability to describe the foundations of numerical analysis, including the importance of accuracy and stability<br>• An ability to select appropriate numerical methods and discretization schemes for application to simple model equations<br>• An understanding of basic concepts of turbulence <br>• An understanding of Reynolds-Averaged Navier-Stokes equations<br>• An understanding of turbulence modelling strategies <br>• An ability to set up the most appropriate turbulence model for a given application<br>• An ability to set up a basic computation of flows<br>• An ability to explain how to conduct both steady state and transient (time dependent) fluid flow simulations<br>• An ability to evaluate the applicability/feasibility of a particular model, its limitations, choose the right boundary conditions, ascertain grid/time independence, verification/validation;<br>• An ability to extract the required results and plots from the wealth of information available at the solution stage<br><br>- Knowledge about the different gas turbine technologies, their specific combustion processes and polluting emissions, as well as their practical uses for the production of mechanical or electrical power, inside combined cycle systems or cogeneration configurations.<br><br>- Knowledge about the Heat, Ventilation, Air Conditioning and Refrigeration (HVAC&R) technologies (cold chain management, thermal comfort, energy and environmental impacts) and their specific constraints. <br>- Analysis of how such systems actually operate, how to assess their performance and to predesign them for a specific purpose.

Learning outcomes

- Size a renewable energy production alternator for different applications: wind energy, hydroelectricity and hydrokinetics (tidal energy). - Choose the right type of alternators according to the application: • Wind energy or tidal energy: due to the low and variable speed rotation that depends on the weather conditions, a double fed induction generator is used. • Hydroelectricity: since the debit can be regulated in the turbine, a synchronous generator is used. - Size an electrical generator in order to meet the industrial specifications. - Design all the critical parts of an electrical machine according to the required voltage, the current generation and the available space for the generator: • The total dimensions of the machine (Stator, air-gap, rotor, useful length of the machine) • The coil at the stator in order to produce electricity with a high quality • The permanent magnet of the coil at the rotor, according to the specifications. - Choose the best materials for the application, as an example choose a specific alloy to avoid losses. - Suggest a machine cooling solution to allow a better performance. The Computational Fluid Dynamics course introduces the student to the subject of Computational Fluid Dynamics, as well as numerical methods for predicting heat transfer. In this course, student will develop the following outcomes: • An ability to explain the role of computation in fluid dynamics and describe its applicability, potential and limitations • An ability to set up the most appropriate CFD model (in terms of boundary conditions, grids, material properties, solution control parameters, solution monitor, approximations, etc.) for a given application • An ability to describe the foundations of numerical analysis, including the importance of accuracy and stability • An ability to select appropriate numerical methods and discretization schemes for application to simple model equations • An understanding of basic concepts of turbulence • An understanding of Reynolds-Averaged Navier-Stokes equations • An understanding of turbulence modelling strategies • An ability to set up the most appropriate turbulence model for a given application • An ability to set up a basic computation of flows • An ability to explain how to conduct both steady state and transient (time dependent) fluid flow simulations • An ability to evaluate the applicability/feasibility of a particular model, its limitations, choose the right boundary conditions, ascertain grid/time independence, verification/validation; • An ability to extract the required results and plots from the wealth of information available at the solution stage - Knowledge about the different gas turbine technologies, their specific combustion processes and polluting emissions, as well as their practical uses for the production of mechanical or electrical power, inside combined cycle systems or cogeneration configurations. - Knowledge about the Heat, Ventilation, Air Conditioning and Refrigeration (HVAC&R) technologies (cold chain management, thermal comfort, energy and environmental impacts) and their specific constraints. - Analysis of how such systems actually operate, how to assess their performance and to predesign them for a specific purpose.