37221 - Electrical Energy Engineering Laboratory T

Academic Year 2017/2018

  • Moduli: Andrea Cristofolini (Modulo 1) Gaetano Pasini (Modulo 2)
  • Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
  • Campus: Bologna
  • Corso: First cycle degree programme (L) in Electrical Energy Engineering (cod. 8610)

Learning outcomes

To provide knowledge of tests and computer simulation related to components, equipment, machines and electrical systems, with regard also to technical / economic and feasibility assessments to help energy saving.


Course contents

1. Knowledge of MATLAB environment and language

2. Using the MATLAB software for practical applications (examples of applications to statistics, linear algebra, Fourier decomposition, polynomial and spline fitting, digital filters)

3. Using MATLAB for the engineering problems solution (solution of circuits, and the numerical integration numerical differentiation)

4. Using FEM software for the analysis of stationary electrostatic and magnetic problems

5. Automatic measurement systems implemented with traditional and / or virtual instrumentation. Language G and Labview software. Brief Introduction to algorithms for digital signal processing. Event-driven programming.

6. Programming of microcontroller-FPGA systems for the protection and monitoring of electrical networks

7. Creation of finite element models of induction machines and performance analysis using software FLUX2D.


Readings/Bibliography

Didactic material provided by the Teachers.


Teaching methods

The necessary concepts are presented at the beginning or during the lesson, the student makes practice trying to solve problems proposed by the teacher.


Assessment methods

The student must pass three lab tests, aimed at verifying that the he has assimilated the core functionalities of the softwares covered during the course.

The three lab tests will be focused on the use of Matlab, Labview and Flux2D, respectively. In each of the three tests, the student will be asked to solve a problem proposed by the teacher using the software subject of the exam. At the end of each test, the student will receive a score.

At the end of the three trials, the final mark will be calculated as the average of the scores obtained in each test.


Teaching tools

The course will be held in the DEI laboratory, where computational resources for simulation and programming in specific environments are available.

Office hours

See the website of Andrea Cristofolini

See the website of Gaetano Pasini